Search Results

Search found 9017 results on 361 pages for 'efficient storage'.

Page 301/361 | < Previous Page | 297 298 299 300 301 302 303 304 305 306 307 308  | Next Page >

• Delivering SOA Governance with EAMS and Oracle Enterprise Repository by Link Consulting Team

  - by JuergenKress

  In the last 12 years Link Consulting has been making its presence in specific areas such as Governance and Architecture, both in terms of practices and methodologies, products, know-how and technological expertise. The Enterprise Architecture Management System - Oracle Enterprise Edition (EAMS - OER Edition) is the result of this experience and combines the architecture management solution with OER in order to deliver a product specialized for SOA Governance that gathers the better of two worlds in solution that enables SOA Governance projects, initiatives and programs. Enterprise Architecture Management System Enterprise Architecture Management System (EAMS), is an automation based solution that enables the efficient management of Enterprise Architectures. The solution uses configured enterprise repositories and takes advantages of its features to provide automation capabilities to the users. EAMS provides capabilities to create/customize/analyze repository data, architectural blueprints, reports and analytic charts. Oracle Enterprise Repository Oracle Enterprise Repository (OER) is one of the major and central elements of the Oracle SOA Governance solution. Oracle Enterprise Repository provides the tools to manage and govern the metadata for any type of software asset, from business processes and services to patterns, frameworks, applications, components, and models. OER maps the relationships and inter-dependencies that connect those assets to improve impact analysis, promote and optimize their reuse, and measure their impact on the bottom line. It provides the visibility, feedback, controls, and analytics to keep your SOA on track to deliver business value. The intense focus on automation helps to overcome barriers to SOA adoption and streamline governance throughout the lifecycle. Core capabilities of the OER include: Asset Management Asset Lifecycle Management Usage Tracking Service Discovery Version Management Dependency Analysis Portfolio Management EAMS - OER Edition The solution takes the advantages and features from both products and combines them in a symbiotic tool that enhances the quality of SOA Governance Initiatives and Programs. EAMS is able to produce a vast number of outputs by combining its analytical engine, SOA-specific configurations and the assets in OER and other related tools, catalogs and repositories. The configurations encompass not only the extendable parametrization of the metadata but also fully configurable blueprints, PowerPoint reports, charts and queries. The SOA blueprints The solution comes with a set of predefined architectural representations that help the organization better perceive their SOA landscape. More blueprints can be easily created in order to accommodate the organizations needs in terms of detail, audience and metadata. Charts & Dashboards The solution encompasses a set of predefined charts and dashboards that promote a more agile way to control and explore the assets. Time Based Visualization All representations are time bound, and with EAMS - OER you can truly govern SOA with a complete view of the Past, Present and Future; The solution delivers Gap Analysis, a project oriented approach while taking into consideration the As-Was, As-Is an To-Be. Time based visualization differentiating factors: Extensive automation and maintenance of architectural representations Organization wide solution. Easy access and navigation to and between all architectural artifacts and representations. Flexible meta-model, customization and extensibility capabilities. Lifecycle management and enforcement of the time dimension over all the repository content. Profile based customization. Comprehensive visibility Architectural alignment Friendly and striking user interfaces For more information on EAMS visit us here. For more information on SOA visit us here. SOA & BPM Partner Community For regular information on Oracle SOA Suite become a member in the SOA & BPM Partner Community for registration please visit  www.oracle.com/goto/emea/soa (OPN account required) If you need support with your account please contact the Oracle Partner Business Center. Blog Twitter LinkedIn Mix Forum Technorati Tags: Link Consulting,OER,OSR,SOA Governance,SOA Community,Oracle SOA,Oracle BPM,BPM Community,OPN,Jürgen Kress

  Read the article

• Incomplete upgrade 12.04 to 12.10

  - by David

  Everything was running smoothly. Everything had been downloaded from Internet, packages had been installed and a prompt asked for some obsolete programs/files to be removed or kept. After that the computer crashed and and to manually force a shutdown. I turned it on again and surprise I was on 12.10! Still the upgrade was not finished! How can I properly finish that upgrade? Here's the output I got in the command line after following posted instructions: i astrill - Astrill VPN client software i dayjournal - Simple, minimal, digital journal. i gambas2-gb-form - A gambas native form component i gambas2-gb-gtk - The Gambas gtk component i gambas2-gb-gtk-ext - The Gambas extended gtk GUI component i gambas2-gb-gui - The graphical toolkit selector component i gambas2-gb-qt - The Gambas Qt GUI component i gambas2-gb-settings - Gambas utilities class i A gambas2-runtime - The Gambas runtime i google-chrome-stable - The web browser from Google i google-talkplugin - Google Talk Plugin i indicator-keylock - Indicator for Lock Keys i indicator-ubuntuone - Indicator for Ubuntu One synchronization s i A language-pack-kde-zh-hans - KDE translation updates for language Simpl i language-pack-kde-zh-hans-base - KDE translations for language Simplified C i libapt-inst1.4 - deb package format runtime library idA libattica0.3 - a Qt library that implements the Open Coll idA libbabl-0.0-0 - Dynamic, any to any, pixel format conversi idA libboost-filesystem1.46.1 - filesystem operations (portable paths, ite idA libboost-program-options1.46.1 - program options library for C++ idA libboost-python1.46.1 - Boost.Python Library idA libboost-regex1.46.1 - regular expression library for C++ i libboost-serialization1.46.1 - serialization library for C++ idA libboost-signals1.46.1 - managed signals and slots library for C++ idA libboost-system1.46.1 - Operating system (e.g. diagnostics support idA libboost-thread1.46.1 - portable C++ multi-threading i libcamel-1.2-29 - Evolution MIME message handling library i libcmis-0.2-0 - CMIS protocol client library i libcupsdriver1 - Common UNIX Printing System(tm) - Driver l i libdconf0 - simple configuration storage system - runt i libdvdcss2 - Simple foundation for reading DVDs - runti i libebackend-1.2-1 - Utility library for evolution data servers i libecal-1.2-10 - Client library for evolution calendars i libedata-cal-1.2-13 - Backend library for evolution calendars i libedataserver-1.2-15 - Utility library for evolution data servers i libexiv2-11 - EXIF/IPTC metadata manipulation library i libgdu-gtk0 - GTK+ standard dialog library for libgdu i libgdu0 - GObject based Disk Utility Library idA libgegl-0.0-0 - Generic Graphics Library idA libglew1.5 - The OpenGL Extension Wrangler - runtime en i libglew1.6 - OpenGL Extension Wrangler - runtime enviro i libglewmx1.6 - OpenGL Extension Wrangler - runtime enviro i libgnome-bluetooth8 - GNOME Bluetooth tools - support library i libgnomekbd7 - GNOME library to manage keyboard configura idA libgsoap1 - Runtime libraries for gSOAP i libgweather-3-0 - GWeather shared library i libimobiledevice2 - Library for communicating with the iPhone i libkdcraw20 - RAW picture decoding library i libkexiv2-10 - Qt like interface for the libexiv2 library i libkipi8 - library for apps that want to use kipi-plu i libkpathsea5 - TeX Live: path search library for TeX (run i libmagickcore4 - low-level image manipulation library i libmagickwand4 - image manipulation library i libmarblewidget13 - Marble globe widget library idA libmusicbrainz4-3 - Library to access the MusicBrainz.org data i libnepomukdatamanagement4 - Basic Nepomuk data manipulation interface i libnux-2.0-0 - Visual rendering toolkit for real-time app i libnux-2.0-common - Visual rendering toolkit for real-time app i libpoppler19 - PDF rendering library i libqt3-mt - Qt GUI Library (Threaded runtime version), i librhythmbox-core5 - support library for the rhythmbox music pl i libusbmuxd1 - USB multiplexor daemon for iPhone and iPod i libutouch-evemu1 - KernelInput Event Device Emulation Library i libutouch-frame1 - Touch Frame Library i libutouch-geis1 - Gesture engine interface support i libutouch-grail1 - Gesture Recognition And Instantiation Libr idA libx264-120 - x264 video coding library i libyajl1 - Yet Another JSON Library i linux-headers-3.2.0-29 - Header files related to Linux kernel versi i linux-headers-3.2.0-29-generic - Linux kernel headers for version 3.2.0 on i linux-image-3.2.0-29-generic - Linux kernel image for version 3.2.0 on 64 i mplayerthumbs - video thumbnail generator using mplayer i myunity - Unity configurator i A openoffice.org-calc - office productivity suite -- spreadsheet i A openoffice.org-writer - office productivity suite -- word processo i python-brlapi - Python bindings for BrlAPI i python-louis - Python bindings for liblouis i rts-bpp-dkms - rts-bpp driver in DKMS format. i system76-driver - Universal driver for System76 computers. i systemconfigurator - Unified Configuration API for Linux Instal i systemimager-client - Utilities for creating an image and upgrad i systemimager-common - Utilities and libraries common to both the i systemimager-initrd-template-am - SystemImager initrd template for amd64 cli i touchpad-indicator - An indicator for the touchpad i ubuntu-tweak - Ubuntu Tweak i A unity-lens-utilities - Unity Utilities lens i A unity-scope-calculator - Calculator engine i unity-scope-cities - Cities engine i unity-scope-rottentomatoes - Unity Scope Rottentomatoes

  Read the article

• Oracle Announces Release of PeopleSoft HCM 9.1 Feature Pack 2

  - by Jay Zuckert

  Big things sometimes come in small packages.  Today Oracle announced the availability of PeopleSoft HCM 9.1 Feature Pack 2 which delivers a new HR self service user experience that fundamentally changes the way managers and employees interact with the HCM system.  Earlier this year we reviewed a number of new concept designs with our Customer Advisory Boards.  With the accelerated feature pack development cycle we have adopted, these innovations are  now available to all 9.1 customers without the need for an upgrade.   There are no new products that need to be licensed for the capabilities below. For more details on Feature Pack 2, please see the Oracle press release. Included in Feature Pack 2 is a new search-based menu-free navigation that allows managers to search for employees by name and take actions directly from the secure search results.  For example, a manager can now simply type in part of an employee’s first or last name and receive meaningful results from documents related to performance, compensation, learning, recruiting, career planning and more.   Delivered actions can be initiated directly from these search results and the actions are securely tied to HCM security and user role.  The feature pack also includes new pages that will enable managers to be more productive by aggregating key employee data into a single page.  The new Manager Dashboard and Talent Summary provide a consolidated view of data related to a manager’s team and individual team members, respectively.   The Manager Dashboard displays information relevant to their direct reports including team learning, objective alignment, alerts, and pending approvals requiring their attention.  The Talent Summary provides managers with an aggregated view of talent management-related data for an individual employee including performance history, salary history, succession options, total rewards, and competencies.   The information displayed in both the Manager Dashboard and Talent Summary is configurable by system administrators and can be personalized by each of your managers. Other Feature Pack 2 enhancements allow organizations to administer Matrix or Dotted-Line Relationship Management, which addresses the challenge of tracking and maintaining project-based organizations that cut across the enterprise and geographic regions.  From within the Company Directory and Org Viewer organization charts, managers now have access to manager self-service transactions from related actions.  More than 70 manager and employee self-service transactions have been tied into the related action framework accessible from Org Viewer, Manager Dashboard, Talent Summary and Secure Enterprise Search (SES) results.  In addition to making it easier to access manager self-service transactions, the feature pack delivers streamlined transaction pages making everyday tasks such as promoting an employee faster and more efficient. With the delivery of PeopleSoft HCM 9.1 Feature Pack 2, Oracle continues to deliver on its commitment to our PeopleSoft customers.  With this feature pack, HCM 9.1 customers will be able to deploy the newest functionality quickly, without a major release upgrade, and realize added value from their existing PeopleSoft investment.    For customers newly deploying 9.1, a new download with all of Feature Pack 2  will be available early next year.   This will aslo include recertified upgrade paths from 8.8, 8.9 and 9.0, for customers in the upgrade process.

  Read the article

• Good DBAs Do Baselines

  - by Louis Davidson

  One morning, you wake up and feel funny. You can’t quite put your finger on it, but something isn’t quite right. What now? Unless you happen to be a hypochondriac, you likely drag yourself out of bed, get on with the day and gather more “evidence”. You check your symptoms over the next few days; do you feel the same, better, worse? If better, then great, it was some temporal issue, perhaps caused by an allergic reaction to some suspiciously spicy chicken. If the same or worse then you go to the doctor for some health advice, but armed with some data to share, and having ruled out certain possible causes that are fixed with a bit of rest and perhaps an antacid. Whether you realize it or not, in comparing how you feel one day to the next, you have taken baseline measurements. In much the same way, a DBA uses baselines to gauge the gauge health of their database servers. Of course, while SQL Server is very willing to share data regarding its health and activities, it has almost no idea of the difference between good and bad. Over time, experienced DBAs develop “mental” baselines with which they can gauge the health of their servers almost as easily as their own body. They accumulate knowledge of the daily, natural state of each part of their database system, and so know instinctively when one of their databases “feels funny”. Equally, they know when an “issue” is just a passing tremor. They see their SQL Server with all of its four CPU cores running close 100% and don’t panic anymore. Why? It’s 5PM and every day the same thing occurs when the end-of-day reports, which are very CPU intensive, are running. Equally, they know when they need to respond in earnest when it is the first time they have heard about an issue, even if it has been happening every day. Nevertheless, no DBA can retain mental baselines for every characteristic of their systems, so we need to collect physical baselines too. In my experience, surprisingly few DBAs do this very well. Part of the problem is that SQL Server provides a lot of instrumentation. If you look, you will find an almost overwhelming amount of data regarding user activity on your SQL Server instances, and use and abuse of the available CPU, I/O and memory. It seems like a huge task even to work out which data you need to collect, let alone start collecting it on a regular basis, managing its storage over time, and performing detailed comparative analysis. However, without baselines, though, it is very difficult to pinpoint what ails a server, just by looking at a single snapshot of the data, or to spot retrospectively what caused the problem by examining aggregated data for the server, collected over many months. It isn’t as hard as you think to get started. You’ve probably already established some troubleshooting queries of the type SELECT Value FROM SomeSystemTableOrView. Capturing a set of baseline values for such a query can be as easy as changing it as follows: INSERT into BaseLine.SomeSystemTable (value, captureTime) SELECT Value, SYSDATETIME() FROM SomeSystemTableOrView; Of course, there are monitoring tools that will collect and manage this baseline data for you, automatically, and allow you to perform comparison of metrics over different periods. However, to get yourself started and to prove to yourself (or perhaps the person who writes the checks for tools) the value of baselines, stick something similar to the above query into an agent job, running every hour or so, and you are on your way with no excuses! Then, the next time you investigate a slow server, and see x open transactions, y users logged in, and z rows added per hour in the Orders table, compare to your baselines and see immediately what, if anything, has changed!

  Read the article

• Conflict Minerals - Design to Compliance

  - by C. Chadwick

  Dr. Christina  Schröder - Principal PLM Consultant, Enterprise PLM Solutions EMEA What does the Conflict Minerals regulation mean? Conflict Minerals has recently become a new buzz word in the manufacturing industry, particularly in electronics and medical devices. Known as the "Dodd-Frank Section 1502", this regulation requires SEC listed companies to declare the origin of certain minerals by 2014. The intention is to reduce the use of tantalum, tungsten, tin, and gold which originate from mines in the Democratic Republic of Congo (DRC) and adjoining countries that are controlled by violent armed militia abusing human rights. Manufacturers now request information from their suppliers to see if their raw materials are sourced from this region and which smelters are used to extract the metals from the minerals. A standardized questionnaire has been developed for this purpose (download and further information). Soon, even companies which are not directly affected by the Conflict Minerals legislation will have to collect and maintain this information since their customers will request the data from their suppliers. Furthermore, it is expected that the public opinion and consumer interests will force manufacturers to avoid the use of metals with questionable origin. Impact for existing products Several departments are involved in the process of collecting data and providing conflict minerals compliance information. For already marketed products, purchasing typically requests Conflict Minerals declarations from the suppliers. In order to address requests from customers, technical operations or product management are usually responsible for keeping track of all parts, raw materials and their suppliers so that the required information can be provided. For complex BOMs, it is very tedious to maintain complete, accurate, up-to-date, and traceable data. Any product change or new supplier can, in addition to all other implications, have an effect on the Conflict Minerals compliance status. Influence on product development  It makes sense to consider compliance early in the planning and design of new products. Companies should evaluate which metals are needed or contained in supplier parts and if these could originate from problematic sources. The answer influences the cost and risk analysis during the development. If it is known early on that a part could be non-compliant with respect to Conflict Minerals, alternatives can be evaluated and thus costly changes at a later stage can be avoided. Integrated compliance management  Ideally, compliance data for Conflict Minerals, but also for other regulations like REACH and RoHS, should be managed in an integrated supply chain system. The compliance status is directly visible across the entire BOM at any part level and for the finished product. If data is missing, a request to the supplier can be triggered right away without having to switch to another system. The entire process, from identification of the relevant parts, requesting information, handling responses, data entry, to compliance calculation is fully covered end-to-end while being transparent for all stakeholders. Agile PLM Product Governance and Compliance (PG&C) The PG&C module extends Agile PLM with exactly this integrated functionality. As with the entire Agile product suite, PG&C can be configured according to customer requirements: data fields, attributes, workflows, routing, notifications, and permissions, etc… can be quickly and easily tailored to a customer’s needs. Optionally, external databases can be interfaced to query commercially available sources of Conflict Minerals declarations which obviates the need for a separate supplier request in many cases. Suppliers can access the system directly for data entry through a special portal. The responses to the standard EICC-GeSI questionnaire can be imported by the supplier or internally. Manual data entry is also supported. A set of compliance-specific dashboards and reports complement the functionality Conclusion  The increasing number of product compliance regulations, for which Conflict Minerals is just one example, requires companies to implement an efficient data and process management in this area. Consumer awareness in this matter increases as well so that an integrated system from development to production also provides a competitive advantage. Follow this link to learn more about Agile's PG&C solution

  Read the article

• Reducing Deadlocks - not a DBA issue ?

  - by steveh99999

   As a DBA, I'm involved on an almost daily basis troubleshooting 'SQL Server' performance issues. Often, this troubleshooting soon veers away from a 'its a SQL Server issue' to instead become a wider application/database design/coding issue.One common perception with SQL Server is that deadlocking is an application design issue - and is fixed by recoding...  I see this reinforced by MCP-type questions/scenarios where the answer to prevent deadlocking is simply to change the order in code in which tables are accessed....Whilst this is correct, I do think this has led to a situation where many 'operational' or 'production support' DBAs, when faced with a deadlock, are happy to throw the issue over to developers without analysing the issue further....A couple of 'war stories' on deadlocks which I think are interesting :- Case One , I had an issue recently on a third-party application that I support on SQL 2008.  This particular third-party application has an unusual support agreement where the customer is allowed to change the index design on the third-party provided database.  However, we are not allowed to alter application code or modify table structure..This third-party application is also known to encounter occasional deadlocks – indeed, I have documentation from the vendor that up to 50 deadlocks per day is not unusual !So, as a DBA I have to support an application which in my opinion has too many deadlocks - but, I cannot influence the design of the tables or stored procedures for the application. This should be the classic - blame the third-party developers scenario, and hope this issue gets addressed in a future application release - ie we could wait years for this to be resolved and implemented in our production environment...But, as DBAs  can change the index layout, is there anything I could do still to reduce the deadlocks in the application ?I initially used SQL traceflag 1222 to write deadlock detection output to the SQL Errorlog – using this I was able to identify one table heavily involved in the deadlocks.When I examined the table definition, I was surprised to see it was a heap – ie no clustered index existed on the table.Using SQL profiler to see locking behaviour and plan for the query involved in the deadlock, I was able to confirm a table scan was being performed.By creating an appropriate clustered index - it was possible to produce a more efficient plan and locking behaviour.So, less locks, held for less time = less possibility of deadlocks. I'm still unhappy about the overall number of deadlocks on this system - but that's something to be discussed further with the vendor.Case Two,  a system which hadn't changed for months suddenly started seeing deadlocks on a regular basis. I love the 'nothing's changed' scenario, as it gives me the opportunity to appear wise and say 'nothings changed on this system, except the data'.. This particular deadlock occurred on a table which had been growing rapidly. By using DBCC SHOW_STATISTICS - the DBA team were able to see that the deadlocks seemed to be occurring shortly after auto-update stats had regenerated the table statistics using it's default sampling behaviour.As a quick fix, we were able to schedule a nightly UPDATE STATISTICS WITH FULLSCAN on the table involved in the deadlock - thus, greatly reducing the potential for stats to be updated via auto_update_stats, consequently reducing the potential for a bad plan to be generated based on an unrepresentative sample of the data. This reduced the possibility of a deadlock occurring.  Not a perfect solution by any means, but quick, easy to implement, and needed no application code changes. This fix gave us some 'breathing space'  to properly fix the code during the next scheduled application release.   The moral of this post - don't dismiss deadlocks as issues that can only be fixed by developers...

  Read the article

• Managing Operational Risk of Financial Services Processes – part 1/ 2

  - by Sanjeevio

  Financial institutions view compliance as a regulatory burden that incurs a high initial capital outlay and recurring costs. By its very nature regulation takes a prescriptive, common-for-all, approach to managing financial and non-financial risk. Needless to say, no longer does mere compliance with regulation will lead to sustainable differentiation.  Genuine competitive advantage will stem from being able to cope with innovation demands of the present economic environment while meeting compliance goals with regulatory mandates in a faster and cost-efficient manner. Let’s first take a look at the key factors that are limiting the pursuit of the above goal. Regulatory requirements are growing, driven in-part by revisions to existing mandates in line with cross-border, pan-geographic, nature of financial value chains today and more so by frequent systemic failures that have destabilized the financial markets and the global economy over the last decade.  In addition to the increase in regulation, financial institutions are faced with pressures of regulatory overlap and regulatory conflict. Regulatory overlap arises primarily from two things: firstly, due to the blurring of boundaries between lines-of-businesses with complex organizational structures and secondly, due to varying requirements of jurisdictional directives across geographic boundaries e.g. a securities firm with operations in US and EU would be subject different requirements of “Know-Your-Customer” (KYC) as per the PATRIOT ACT in US and MiFiD in EU. Another consequence and concomitance of regulatory change is regulatory conflict, which again, arises primarily from two things: firstly, due to diametrically opposite priorities of line-of-business and secondly, due to tension that regulatory requirements create between shareholders interests of tighter due-diligence and customer concerns of privacy. For instance, Customer Due Diligence (CDD) as per KYC requires eliciting detailed information from customers to prevent illegal activities such as money-laundering, terrorist financing or identity theft. While new customers are still more likely to comply with such stringent background checks at time of account opening, existing customers baulk at such practices as a breach of trust and privacy. As mentioned earlier regulatory compliance addresses both financial and non-financial risks. Operational risk is a non-financial risk that stems from business execution and spans people, processes, systems and information. Operational risk arising from financial processes in particular transcends other sources of such risk. Let’s look at the factors underpinning the operational risk of financial processes. The rapid pace of innovation and geographic expansion of financial institutions has resulted in proliferation and ad-hoc evolution of back-office, mid-office and front-office processes. This has had two serious implications on increasing the operational risk of financial processes: ·         Inconsistency of processes across lines-of-business, customer channels and product/service offerings. This makes it harder for the risk function to enforce a standardized risk methodology and in turn breaches harder to detect. ·         The proliferation of processes coupled with increasingly frequent change-cycles has resulted in accidental breaches and increased vulnerability to regulatory inadequacies. In summary, regulatory growth (including overlap and conflict) coupled with process proliferation and inconsistency is driving process compliance complexity In my next post I will address the implications of this process complexity on financial institutions and outline the role of BPM in lowering specific aspects of operational risk of financial processes.

  Read the article

• Getting the number of fragments which passed the depth test

  - by Etan

  In "modern" environments, the "NV Occlusion Query" extension provides a method to get the number of fragments which passed the depth test. However, on the iPad / iPhone using OpenGL ES, the extension is not available. What is the most performant approach to implement a similar behaviour in the fragment shader? Some of my ideas: Render the object completely in white, then count all the colors together using a two-pass shader where first a vertical line is rendered and for each fragment the shader computes the sum over the whole row. Then, a single vertex is rendered whose fragment sums all the partial sums of the first pass. Doesn't seem to be very efficient. Render the object completely in white over a black background. Downsample recursively, abusing the hardware linear interpolation between textures until being at a reasonably small resolution. This leads to fragments which have a greyscale level depending on the number of white pixels where in their corresponding region. Is this even accurate enough? Use mipmaps and simply read the pixel on the 1x1 level. Again the question of accuracy and if it is even possible using non-power-of-two textures. The problem wit these approaches is, that the pipeline gets stalled which results in major performance issues. Therefore, I'm looking for a more performant way to accomplish my goal. Using the EXT_OCCLUSION_QUERY_BOOLEAN extension Apple introduced EXT_OCCLUSION_QUERY_BOOLEAN in iOS 5.0 for iPad 2. "4.1.6 Occlusion Queries Occlusion queries use query objects to track the number of fragments or samples that pass the depth test. An occlusion query can be started and finished by calling BeginQueryEXT and EndQueryEXT, respectively, with a target of ANY_SAMPLES_PASSED_EXT or ANY_SAMPLES_PASSED_CONSERVATIVE_EXT. When an occlusion query is started with the target ANY_SAMPLES_PASSED_EXT, the samples-boolean state maintained by the GL is set to FALSE. While that occlusion query is active, the samples-boolean state is set to TRUE if any fragment or sample passes the depth test. When the occlusion query finishes, the samples-boolean state of FALSE or TRUE is written to the corresponding query object as the query result value, and the query result for that object is marked as available. If the target of the query is ANY_SAMPLES_PASSED_CONSERVATIVE_EXT, an implementation may choose to use a less precise version of the test which can additionally set the samples-boolean state to TRUE in some other implementation dependent cases." The first sentence hints on a behavior which is exactly what I'm looking for: getting the number of pixels which passed the depth test in an asynchronous manner without much performance loss. However, the rest of the document describes only how to get boolean results. Is it possible to exploit this extension to get the pixel count? Does the hardware support it so that there may be hidden API to get access to the pixel count? Other extensions which could be exploitable would be debugging features like the number of times the fragment shader was invoked (PSInvocations in DirectX - not sure if something simila is available in OpenGL ES). However, this would also result in a pipeline stall.

  Read the article

• Oracle Fusion Supply Chain Management (SCM) Designs May Improve End User Productivity

  - by Applications User Experience

  By Applications User Experience on March 10, 2011 Michele Molnar, Senior Usability Engineer, Applications User Experience The Challenge: The SCM User Experience team, in close collaboration with product management and strategy, completely redesigned the user experience for Oracle Fusion applications. One of the goals of this redesign was to increase end user productivity by applying design patterns and guidelines and incorporating findings from extensive usability research. But a question remained: How do we know that the Oracle Fusion designs will actually increase end user productivity? The Test: To answer this question, the SCM Usability Engineers compared Oracle Fusion designs to their corresponding existing Oracle applications using the workflow time analysis method. The workflow time analysis method breaks tasks into a sequence of operators. By applying standard time estimates for all of the operators in the task, an estimate of the overall task time can be calculated. The workflow time analysis method has been recently adopted by the Applications User Experience group for use in predicting end user productivity. Using this method, a design can be tested and refined as needed to improve productivity even before the design is coded. For the study, we selected some of our recent designs for Oracle Fusion Product Information Management (PIM). The designs encompassed tasks performed by Product Managers to create, manage, and define products for their organization. (See Figure 1 for an example.) In applying this method, the SCM Usability Engineers collaborated with Product Management to compare the new Oracle Fusion Applications designs against Oracle’s existing applications. Together, we performed the following activities: Identified the five most frequently performed tasks Created detailed task scenarios that provided the context for each task Conducted task walkthroughs Analyzed and documented the steps and flow required to complete each task Applied standard time estimates to the operators in each task to estimate the overall task completion time Figure 1. The interactions on each Oracle Fusion Product Information Management screen were documented, as indicated by the red highlighting. The task scenario and script provided the context for each task.  The Results: The workflow time analysis method predicted that the Oracle Fusion Applications designs would result in productivity gains in each task, ranging from 8% to 62%, with an overall productivity gain of 43%. All other factors being equal, the new designs should enable these tasks to be completed in about half the time it takes with existing Oracle Applications. Further analysis revealed that these performance gains would be achieved by reducing the number of clicks and screens needed to complete the tasks. Conclusions: Using the workflow time analysis method, we can expect the Oracle Fusion Applications redesign to succeed in improving end user productivity. The workflow time analysis method appears to be an effective and efficient tool for testing, refining, and retesting designs to optimize productivity. The workflow time analysis method does not replace usability testing with end users, but it can be used as an early predictor of design productivity even before designs are coded. We are planning to conduct usability tests later in the development cycle to compare actual end user data with the workflow time analysis results. Such results can potentially be used to validate the productivity improvement predictions. Used together, the workflow time analysis method and usability testing will enable us to continue creating, evaluating, and delivering Oracle Fusion designs that exceed the expectations of our end users, both in the quality of the user experience and in productivity. (For more information about studying productivity, refer to the Measuring User Productivity blog.)

  Read the article

• Implementing Service Level Agreements in Enterprise Manager 12c for Oracle Packaged Applications

  - by Anand Akela

  Contributed by Eunjoo Lee, Product Manager, Oracle Enterprise Manager. Service Level Management, or SLM, is a key tool in the proactive management of any Oracle Packaged Application (e.g., E-Business Suite, Siebel, PeopleSoft, JD Edwards E1, Fusion Apps, etc.). The benefits of SLM are that administrators can utilize representative Application transactions, which are constantly and automatically running behind the scenes, to verify that all of the key application and technology components of an Application are available and performing to expectations. A single transaction can verify the availability and performance of the underlying Application Tech Stack in a much more efficient manner than by monitoring the same underlying targets individually. In this article, we’ll be demonstrating SLM using Siebel Applications, but the same tools and processes apply to any of the Package Applications mentioned above. In this demonstration, we will log into the Siebel Application, navigate to the Contacts View, update a contact phone record, and then log-out. This transaction exposes availability and performance metrics of multiple Siebel Servers, multiple Components and Component Groups, and the Siebel Database - in a single unified manner. We can then monitor and manage these transactions like any other target in EM 12c, including placing pro-active alerts on them if the transaction is either unavailable or is not performing to required levels. The first step in the SLM process is recording the Siebel transaction. The following screenwatch demonstrates how to record Siebel transaction using an EM tool called “OpenScript”. A completed recording is called a “Synthetic Transaction”. The second step in the SLM process is uploading the Synthetic Transaction into EM 12c, and creating Generic Service Tests. We can create a Generic Service Test to execute our synthetic transactions at regular intervals to evaluate the performance of various business flows. As these transactions are running periodically, it is possible to monitor the performance of the Siebel Application by evaluating the performance of the synthetic transactions. The process of creating a Generic Service Test is detailed in the next screenwatch. EM 12c provides a guided workflow for all of the key creation steps, including configuring the Service Test, uploading of the Synthetic Test, determining the frequency of the Service Test, establishing beacons, and selecting performance and usage metrics, just to name a few. The third and final step in the SLM process is the creation of Service Level Agreements (SLA). Service Level Agreements allow Administrators to utilize the previously created Service Tests to specify expected service levels for Application availability, performance, and usage. SLAs can be created for different time periods and for different Service Tests. This last screenwatch demonstrates the process of creating an SLA, as well as highlights the Dashboards and Reports that Administrators can use to monitor Service Test results. Hopefully, this article provides you with a good start point for creating Service Level Agreements for your E-Business Suite, Siebel, PeopleSoft, JD Edwards E1, or Fusion Applications. Enterprise Manager Cloud Control 12c, with the Application Management Suites, represents a quick and easy way to implement Service Level Management capabilities at customer sites. Stay Connected: Twitter |  Face book |  You Tube |  Linked in |  Google+ |  Newsletter

  Read the article

• How to get faster graphics in KVM? VNC is painfully slow with Haiku OS guest, Spice won't install and SDL doesn't work

  - by Don Quixote

  I've been coming up to speed on the Haiku operating system, an Open Source clone of BeOS 5 Pro. I'm using an Apple MacBook Pro as my development machine. Apple's BootCamp BIOS does not support more than four partitions on the internal hard drive. While I can set up extended and logical partitions, doing so will prevent any of the installed operating systems from booting. To run Haiku directly on the iron, I boot it off a USB stick. Using external storage is also helpful because I am perpetually out of filesystem space. While VirtualBox is documented to allow access to physical drives, I could not actually get it to work. Also VirtualBox can only use one of the host CPU's cores. While VB guests can be configured for more than one CPU, they are only emulated. A full build of the Haiku OS takes 4.5 under VB. I had the hope of reducing build times by using KVM instead, but it's not working nearly as well as VirtualBox did. The Linux Kernel Virtual Machine is broken in all manner of fundamental ways as seen from Haiku. But I'm a coder; maybe I could contribute to fixing some of those problems. The first problem I've got is that Haiku's video in virt-manager is quite painfully slow. When I drag Haiku windows around the desktop, they lag quite far behind where my mouse is. It's quite difficult to move a window to a precise position on the screen. Just imagine that the mouse was connected to the window title bar with a really stretchy spring. Also Haiku's mouse lags quite far behind where I have moved it. I found lots of Personal Package Archives that enable Spice from QEMU / KVM at the Ubuntu Personal Package Arhives. I tried a few of the PPAs but none of them worked; with one of them, the command "add-apt-repository" crashed with a traceback. There is a Wiki page about Spice, but it says that it only works on 64-bit. My Early 2006 MacBook Pro is 32-bit. Its Apple Model Identifier is MacBookPro1,1; these use Core Duos NOT Core 2 Duos. I don't mind building a source deb for 32-bit if I can expect it to work. Is there some reason that Spice should be 64-bit only? Does it need features of the x86_64 Instruction Set Architecture that x86 does not have? When I try using SDL from virt-manager, the configuration for Local SDL Window says "Xauth: /home/mike/.Xauthority". When I try to start my guest, virt-manager emits an error. When I Googled the error message, the usual solution was to make ~/.Xauthority readible. However, .Xauthorty does not exist in my home directory. Instead I have a $XAUTHORITY environment variable. There is no way to configure SDL in virt-manager to use $XAUTHORITY instead of ~/.Xauthority. Neither does it work to copy the value of $XAUTHORITY into the file. I am ready to scream, because I've been five fscking days trying to make KVM work for Haiku development. There is a whole lot more that is broken than the slow video. All I really want to do for now is speed up my full builds of Haiku by using "jam -j2" to use both cores in my CPU. I may try Xen next, but the last time I monkeyed with Xen it was far, far more broken than I am finding KVM to be. Just for now, I would be satisfied if there were some way to use my USB stick as a drive in VirtualBox. VB does allow me to configure /dev/sdb as a drive, but it always causes a fatal error when I try to launch the guest. Thank You For Any Advice You Can Give Me. -

  Read the article

• How much is a subscriber worth?

  - by Tom Lewin

  This year at Red Gate, we’ve started providing a way to back up SQL Azure databases and Azure storage. We decided to sell this as a service, instead of a product, which means customers only pay for what they use. Unfortunately for us, it makes figuring out revenue much trickier. With a product like SQL Compare, a customer pays for it, and it’s theirs for good. Sure, we offer support and upgrades, but, fundamentally, the sale is a simple, upfront transaction: we’ve made this product, you need this product, we swap product for money and everyone is happy. With software as a service, it isn’t that easy. The money and product don’t change hands up front. Instead, we provide a service in exchange for a recurring fee. We know someone buying SQL Compare will pay us $X, but we don’t know how long service customers will stay with us, or how much they will spend. How do we find this out? We use lifetime value analysis. What is lifetime value? Lifetime value, or LTV, is how much a customer is worth to the business. For Entrepreneurs has a brilliant write up that we followed to conduct our analysis. Basically, it all boils down to this equation: LTV = ARPU x ALC To make it a bit less of an alphabet-soup and a bit more understandable, we can write it out in full: The lifetime value of a customer equals the average revenue per customer per month, times the average time a customer spends with the service Simple, right? A customer is worth the average spend times the average stay. If customers pay on average $50/month, and stay on average for ten months, then a new customer will, on average, bring in $500 over the time they are a customer! Average spend is easy to work out; it’s revenue divided by customers. The problem comes when we realise that we don’t know exactly how long a customer will stay with us. How can we figure out the average lifetime of a customer, if we only have six months’ worth of data? The answer lies in the fact that: Average Lifetime of a Customer = 1 / Churn Rate The churn rate is the percentage of customers that cancel in a month. If half of your customers cancel each month, then your average customer lifetime is two months. The problem we faced was that we didn’t have enough data to make an estimate of one month’s cancellations reliable (because barely anybody cancels)! To deal with this data problem, we can take data from the last three months instead. This means we have more data to play with. We can still use the equation above, we just need to multiply the final result by three (as we worked out how many three month periods customers stay for, and we want our answer to be in months). Now these estimates are likely to be fairly unreliable; when there’s not a lot of data it pays to be cautious with inference. That said, the numbers we have look fairly consistent, and it’s super easy to revise our estimates when new data comes in. At the very least, these numbers give us a vague idea of whether a subscription business is viable. As far as Cloud Services goes, the business looks very viable indeed, and the low cancellation rates are much more than just data points in LTV equations; they show that the product is working out great for our customers, which is exactly what we’re looking for!

  Read the article

• SQL Server Optimizer Malfunction?

  - by Tony Davis

  There was a sharp intake of breath from the audience when Adam Machanic declared the SQL Server optimizer to be essentially "stuck in 1997". It was during his fascinating "Query Tuning Mastery: Manhandling Parallelism" session at the recent PASS SQL Summit. Paraphrasing somewhat, Adam (blog | @AdamMachanic) offered a convincing argument that the optimizer often delivers flawed plans based on assumptions that are no longer valid with today’s hardware. In 1997, when Microsoft engineers re-designed the database engine for SQL Server 7.0, SQL Server got its initial implementation of a cost-based optimizer. Up to SQL Server 2000, the developer often had to deploy a steady stream of hints in SQL statements to combat the occasionally wilful plan choices made by the optimizer. However, with each successive release, the optimizer has evolved and improved in its decision-making. It is still prone to the occasional stumble when we tackle difficult problems, join large numbers of tables, perform complex aggregations, and so on, but for most of us, most of the time, the optimizer purrs along efficiently in the background. Adam, however, challenged further any assumption that the current optimizer is competent at providing the most efficient plans for our more complex analytical queries, and in particular of offering up correctly parallelized plans. He painted a picture of a present where complex analytical queries have become ever more prevalent; where disk IO is ever faster so that reads from disk come into buffer cache faster than ever; where the improving RAM-to-data ratio means that we have a better chance of finding our data in cache. Most importantly, we have more CPUs at our disposal than ever before. To get these queries to perform, we not only need to have the right indexes, but also to be able to split the data up into subsets and spread its processing evenly across all these available CPUs. Improvements such as support for ColumnStore indexes are taking things in the right direction, but, unfortunately, deficiencies in the current Optimizer mean that SQL Server is yet to be able to exploit properly all those extra CPUs. Adam’s contention was that the current optimizer uses essentially the same costing model for many of its core operations as it did back in the days of SQL Server 7, based on assumptions that are no longer valid. One example he gave was a "slow disk" bias that may have been valid back in 1997 but certainly is not on modern disk systems. Essentially, the optimizer assesses the relative cost of serial versus parallel plans based on the assumption that there is no IO cost benefit from parallelization, only CPU. It assumes that a single request will saturate the IO channel, and so a query would not run any faster if we parallelized IO because the disk system simply wouldn’t be able to handle the extra pressure. As such, the optimizer often decides that a serial plan is lower cost, often in cases where a parallel plan would improve performance dramatically. It was challenging and thought provoking stuff, as were his techniques for driving parallelism through query logic based on subsets of rows that define the "grain" of the query. I highly recommend you catch the session if you missed it. I’m interested to hear though, when and how often people feel the force of the optimizer’s shortcomings. Barring mistakes, such as stale statistics, how often do you feel the Optimizer fails to find the plan you think it should, and what are the most common causes? Is it fighting to induce it toward parallelism? Combating unexpected plans, arising from table partitioning? Something altogether more prosaic? Cheers, Tony.

  Read the article

• Oracle MAA Part 1: When One Size Does Not Fit All

  - by JoeMeeks

  The good news is that Oracle Maximum Availability Architecture (MAA) best practices combined with Oracle Database 12c (see video) introduce first-in-the-industry database capabilities that truly make unplanned outages and planned maintenance transparent to users. The trouble with such good news is that Oracle’s enthusiasm in evangelizing its latest innovations may leave some to wonder if we’ve lost sight of the fact that not all database applications are created equal. Afterall, many databases don’t have the business requirements for high availability and data protection that require all of Oracle’s ‘stuff’. For many real world applications, a controlled amount of downtime and/or data loss is OK if it saves money and effort. Well, not to worry. Oracle knows that enterprises need solutions that address the full continuum of requirements for data protection and availability. Oracle MAA accomplishes this by defining four HA service level tiers: BRONZE, SILVER, GOLD and PLATINUM. The figure below shows the progression in service levels provided by each tier. Each tier uses a different MAA reference architecture to deploy the optimal set of Oracle HA capabilities that reliably achieve a given service level (SLA) at the lowest cost.  Each tier includes all of the capabilities of the previous tier and builds upon the architecture to handle an expanded fault domain. Bronze is appropriate for databases where simple restart or restore from backup is ‘HA enough’. Bronze is based upon a single instance Oracle Database with MAA best practices that use the many capabilities for data protection and HA included with every Oracle Enterprise Edition license. Oracle-optimized backups using Oracle Recovery Manager (RMAN) provide data protection and are used to restore availability should an outage prevent the database from being able to restart. Silver provides an additional level of HA for databases that require minimal or zero downtime in the event of database instance or server failure as well as many types of planned maintenance. Silver adds clustering technology - either Oracle RAC or RAC One Node. RMAN provides database-optimized backups to protect data and restore availability should an outage prevent the cluster from being able to restart. Gold raises the game substantially for business critical applications that can’t accept vulnerability to single points-of-failure. Gold adds database-aware replication technologies, Active Data Guard and Oracle GoldenGate, which synchronize one or more replicas of the production database to provide real time data protection and availability. Database-aware replication greatly increases HA and data protection beyond what is possible with storage replication technologies. It also reduces cost while improving return on investment by actively utilizing all replicas at all times. Platinum introduces all of the sexy new Oracle Database 12c capabilities that Oracle staff will gush over with great enthusiasm. These capabilities include Application Continuity for reliable replay of in-flight transactions that masks outages from users; Active Data Guard Far Sync for zero data loss protection at any distance; new Oracle GoldenGate enhancements for zero downtime upgrades and migrations; and Global Data Services for automated service management and workload balancing in replicated database environments. Each of these technologies requires additional effort to implement. But they deliver substantial value for your most critical applications where downtime and data loss are not an option. The MAA reference architectures are inherently designed to address conflicting realities. On one hand, not every application has the same objectives for availability and data protection – the Not One Size Fits All title of this blog post. On the other hand, standard infrastructure is an operational requirement and a business necessity in order to reduce complexity and cost. MAA reference architectures address both realities by providing a standard infrastructure optimized for Oracle Database that enables you to dial-in the level of HA appropriate for different service level requirements. This makes it simple to move a database from one HA tier to the next should business requirements change, or from one hardware platform to another – whether it’s your favorite non-Oracle vendor or an Oracle Engineered System. Please stay tuned for additional blog posts in this series that dive into the details of each MAA reference architecture. Meanwhile, more information on Oracle HA solutions and the Maximum Availability Architecture can be found at: Oracle Maximum Availability Architecture - Webcast Maximize Availability with Oracle Database 12c - Technical White Paper

  Read the article

• Efficiently separating Read/Compute/Write steps for concurrent processing of entities in Entity/Component systems

  - by TravisG

  Setup I have an entity-component architecture where Entities can have a set of attributes (which are pure data with no behavior) and there exist systems that run the entity logic which act on that data. Essentially, in somewhat pseudo-code: Entity { id; map<id_type, Attribute> attributes; } System { update(); vector<Entity> entities; } A system that just moves along all entities at a constant rate might be MovementSystem extends System { update() { for each entity in entities position = entity.attributes["position"]; position += vec3(1,1,1); } } Essentially, I'm trying to parallelise update() as efficiently as possible. This can be done by running entire systems in parallel, or by giving each update() of one system a couple of components so different threads can execute the update of the same system, but for a different subset of entities registered with that system. Problem In reality, these systems sometimes require that entities interact(/read/write data from/to) each other, sometimes within the same system (e.g. an AI system that reads state from other entities surrounding the current processed entity), but sometimes between different systems that depend on each other (i.e. a movement system that requires data from a system that processes user input). Now, when trying to parallelize the update phases of entity/component systems, the phases in which data (components/attributes) from Entities are read and used to compute something, and the phase where the modified data is written back to entities need to be separated in order to avoid data races. Otherwise the only way (not taking into account just "critical section"ing everything) to avoid them is to serialize parts of the update process that depend on other parts. This seems ugly. To me it would seem more elegant to be able to (ideally) have all processing running in parallel, where a system may read data from all entities as it wishes, but doesn't write modifications to that data back until some later point. The fact that this is even possible is based on the assumption that modification write-backs are usually very small in complexity, and don't require much performance, whereas computations are very expensive (relatively). So the overhead added by a delayed-write phase might be evened out by more efficient updating of entities (by having threads work more % of the time instead of waiting). A concrete example of this might be a system that updates physics. The system needs to both read and write a lot of data to and from entities. Optimally, there would be a system in place where all available threads update a subset of all entities registered with the physics system. In the case of the physics system this isn't trivially possible because of race conditions. So without a workaround, we would have to find other systems to run in parallel (which don't modify the same data as the physics system), other wise the remaining threads are waiting and wasting time. However, that has disadvantages Practically, the L3 cache is pretty much always better utilized when updating a large system with multiple threads, as opposed to multiple systems at once, which all act on different sets of data. Finding and assembling other systems to run in parallel can be extremely time consuming to design well enough to optimize performance. Sometimes, it might even not be possible at all because a system just depends on data that is touched by all other systems. Solution? In my thinking, a possible solution would be a system where reading/updating and writing of data is separated, so that in one expensive phase, systems only read data and compute what they need to compute, and then in a separate, performance-wise cheap, write phase, attributes of entities that needed to be modified are finally written back to the entities. The Question How might such a system be implemented to achieve optimal performance, as well as making programmer life easier? What are the implementation details of such a system and what might have to be changed in the existing EC-architecture to accommodate this solution?

  Read the article

• Growing Talent

  The subtitle of Daniel Coyles intriguing book The Talent Code is Greatness Isnt Born. Its Grown. Heres How. The Talent Code proceeds to layout a theory of how expertise can be cultivated through specific practices that encourage the growth of myelin in the brain. Myelin is a material that is produced and wraps around heavily used circuits in the brain, making them more efficient. Coyle uses an analogy that geeks will appreciate. When a circuit in the brain is used a lot (i.e. a specific action is repeated), the myelin insulates that circuit, increasing its bandwidth from telephone over copper to high speed broadband. This leads to the funny phenomenon of effortless expertise. Although highly skilled, the best players make it look easy. Coyle provides some biological backing for the long held theory that it takes 10,000 hours of practice to achieve mastery over a given subject. 10,000 hours or 10 years, as in, Teach Yourself Programming in Ten Years and others. However, it is not just that more hours equals more mastery. The other factors that Coyle identifies includes deep practice, practice which crucially involves drills that are challenging without being impossible. Another way to put it is that every day you spend doing only tasks you find monotonous and automatic, you are literally stagnating your brains development! Perhaps Coyles subtitle, needs one more phrase, Greatness Isnt Born. Its Grown. Heres How. And oh yeah, its not easy. Challenging yourself, continuing to persist in the face of repeated failures, practicing every day is not easy. As consultants, we sell our expertise, so it makes sense that we plan projects so that people can play to their strengths. At the same time, an important part of our culture is constant improvement, challenging yourself to be better. And the balancing contest ensues. I just finished working on a proof of concept (POC) we did for a project we are bidding on. Completely time boxed, so our team naturally split responsibilities amongst ourselves according to who was better at what. I must have been pretty bad at the other components, as I found myself working on the user interface, not my usual strength. The POC had a website frontend, and one thing I do know is HTML. After starting out in pure ASP.NET WebForms, I got frustrated as time was ticking, I knew what I wanted in HTML, but I couldnt coax the right output out of the ASP.NET controls. I needed two or three elements on the screen that were identical in layout, with different content. With a backup plan in  of writing the HTML into the response by hand, I decided to challenge myself a bit and see what I could do in an hour or two using the Microsoft submitted jQuery micro-templating JavaScript library. This risk paid off. I was able to quickly get the user interface up and running, responsive to the JSON data we were working with. I felt energized by the double win of getting the POC ready and learning something new. Opportunities  specifically like this POC dont come around often, but the takeaway is that while it wont be easy, there are ways to generate your own opportunities to grow towards greatness.Did you know that DotNetSlackers also publishes .net articles written by top known .net Authors? We already have over 80 articles in several categories including Silverlight. Take a look: here.

  Read the article

• Managing Social Relationships for the Enterprise – Part 2

  - by Michael Snow

  12.00 Normal 0 false false false EN-US X-NONE X-NONE /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0in 5.4pt 0in 5.4pt; mso-para-margin-top:0in; mso-para-margin-right:0in; mso-para-margin-bottom:10.0pt; mso-para-margin-left:0in; line-height:115%; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Calibri","sans-serif"; mso-fareast-font-family:Calibri; mso-bidi-font-family:"Times New Roman";} Reggie Bradford, Senior Vice President, Oracle  On September 13, 2012, I sat down with Altimeter Analyst Jeremiah Owyang to talk about how enterprise businesses are approaching the management of both their social media strategies and internal structures. There’s no longer any question as to whether companies are adopting social full throttle. That’s exactly the way it should be, because it’s a top online behavior across all age groups. For your consumers, it’s an ingrained, normal form of communication. And beyond connecting with friends, social users are reaching out for information and service from brands. Jeremiah tells us 29% of Twitter followers follow a brand and 58% of Facebook users have “Liked” a brand. Even on the B2B side, people act on reviews and recommendations. Just as in the early 90’s we saw companies move from static to dynamic web sites, businesses of all sizes are moving from just establishing a social presence to determining effective and efficient ways to use it. I like to say we’re in the 2nd or 3rd inning of a 9-inning game. Corporate social started out as a Facebook page, it’s multiple channels servicing customers wherever they are. Social is also moving from merely moderating to analyzing so that the signal can be separated from the noise, so that impactful influencers can be separated from other users. Organizationally, social started with the marketers. Now we’re getting into social selling, commerce, service, HR, recruiting, and collaboration. That’s Oracle’s concept of enterprise social relationship management, a framework to extend social across the entire organization real-time in as holistic a way as possible. Social requires more corporate coordination than ever before. One of my favorite statistics is that the average corporation at enterprise has 178 social accounts, according to Altimeter. Not all of them active, not all of them necessary, but 178 of them. That kind of fragmentation creates risk, so the smarter companies will look for solutions (as opposed to tools) that can organize, scale and defragment, as well as quickly integrate other networks and technologies that will come along. Our conversation goes deep into the various corporate social structures we’re seeing, as well as the advantages and disadvantages of each. There are also a couple of great examples of how known brands used an integrated, holistic approach to achieve stated social goals. What’s especially exciting to me is the Oracle SRM framework for the enterprise provides companywide integration into one seamless system. This is not a dream. This is going to have substantial business impact in the next several years.

  Read the article

• Know your Data Lineage

  - by Simon Elliston Ball

  An academic paper without the footnotes isn’t an academic paper. Journalists wouldn’t base a news article on facts that they can’t verify. So why would anyone publish reports without being able to say where the data has come from and be confident of its quality, in other words, without knowing its lineage. (sometimes referred to as ‘provenance’ or ‘pedigree’) The number and variety of data sources, both traditional and new, increases inexorably. Data comes clean or dirty, processed or raw, unimpeachable or entirely fabricated. On its journey to our report, from its source, the data can travel through a network of interconnected pipes, passing through numerous distinct systems, each managed by different people. At each point along the pipeline, it can be changed, filtered, aggregated and combined. When the data finally emerges, how can we be sure that it is right? How can we be certain that no part of the data collection was based on incorrect assumptions, that key data points haven’t been left out, or that the sources are good? Even when we’re using data science to give us an approximate or probable answer, we cannot have any confidence in the results without confidence in the data from which it came. You need to know what has been done to your data, where it came from, and who is responsible for each stage of the analysis. This information represents your data lineage; it is your stack-trace. If you’re an analyst, suspicious of a number, it tells you why the number is there and how it got there. If you’re a developer, working on a pipeline, it provides the context you need to track down the bug. If you’re a manager, or an auditor, it lets you know the right things are being done. Lineage tracking is part of good data governance. Most audit and lineage systems require you to buy into their whole structure. If you are using Hadoop for your data storage and processing, then tools like Falcon allow you to track lineage, as long as you are using Falcon to write and run the pipeline. It can mean learning a new way of running your jobs (or using some sort of proxy), and even a distinct way of writing your queries. Other Hadoop tools provide a lot of operational and audit information, spread throughout the many logs produced by Hive, Sqoop, MapReduce and all the various moving parts that make up the eco-system. To get a full picture of what’s going on in your Hadoop system you need to capture both Falcon lineage and the data-exhaust of other tools that Falcon can’t orchestrate. However, the problem is bigger even that that. Often, Hadoop is just one piece in a larger processing workflow. The next step of the challenge is how you bind together the lineage metadata describing what happened before and after Hadoop, where ‘after’ could be  a data analysis environment like R, an application, or even directly into an end-user tool such as Tableau or Excel. One possibility is to push as much as you can of your key analytics into Hadoop, but would you give up the power, and familiarity of your existing tools in return for a reliable way of tracking lineage? Lineage and auditing should work consistently, automatically and quietly, allowing users to access their data with any tool they require to use. The real solution, therefore, is to create a consistent method by which to bring lineage data from these data various disparate sources into the data analysis platform that you use, rather than being forced to use the tool that manages the pipeline for the lineage and a different tool for the data analysis. The key is to keep your logs, keep your audit data, from every source, bring them together and use the data analysis tools to trace the paths from raw data to the answer that data analysis provides.

  Read the article

• Five Key Trends in Enterprise 2.0 for 2011

  - by kellsey.ruppel(at)oracle.com

  We recently sat down with Andy MacMillan, an industry veteran and vice president of product management for Enterprise 2.0 at Oracle, to get his take on the year ahead in Enterprise 2.0 (E2.0). He offered us his five predictions about the ways he believes E2.0 technologies will transform business in 2011. 1. Forward-thinking organizations will achieve an unprecedented level of organizational awareness. Enterprise 2.0 and Web 2.0 technologies have already transformed the ways customers, employees, partners, and suppliers communicate and stay informed. But this year we are anticipating that organizations will go to the next step and integrate social activities with business applications to deliver rich contextual "activity streams." Activity streams are a new way for enterprise users to get relevant information as quickly as it happens, by navigating to that information in context directly from their portal. We don't mean syndicating social activities limited to a single application. Instead, we believe back-office systems will be combined with social media tools to drive how users make informed business decisions in brand new ways. For example, an account manager might log into the company portal and automatically receive notification that colleagues are closing business around a certain product in his market segment. With a single click, he can reach out instantly to these colleagues via social media and learn from their successes to drive new business opportunities in his own area. 2. Online customer engagement will become a high priority for CMOs. A growing number of chief marketing officers (CMOs) have created a new direct report called "head of online"--a senior marketing executive responsible for all engagements with customers and prospects via the Web, mobile, and social media. This new field has been dubbed "Web experience management" or "online customer engagement" by firms and analyst organizations. It is likely to rapidly increase demand for a host of new business objectives and metrics from Web content management solutions. As companies interface with customers more and more over the Web, Web experience management solutions will help deliver more targeted interactions to ensure increased customer loyalty while meeting sales and business objectives. 3. Real composite applications will be widely adopted. We expect organizations to move from the concept of a single "uber-portal" that encompasses all the necessary features to a more modular, component-based concept for composite applications. This approach is now possible as IT and power users are empowered to assemble new, purpose-built composite applications quickly from existing components. 4. Records management will drive ECM consolidation. We continue to see a significant shift in the approach to records management. Several years ago initiatives were focused on overlaying records management across a set of electronic repositories and physical storage locations. We believe federated records management will continue, but we also expect to see records management driving conversations around single-platform content management consolidation. 5. Organizations will demand ECM at extreme scale. We have already seen a trend within IT organizations to provide a common, highly scalable infrastructure to consolidate and support content and information needs. But as data sizes grow exponentially, ECM at an extreme scale is likely to spread at unprecedented speeds this year. This makes sense as regulations and transparency requirements rise. The model in which ECM and lightweight CMS systems provide basic content services such as check-in, update, delete, and search has converged around a set of industry best practices and has even been coded into new industry standards such as content management interoperability services. As these services converge and the demand for them accelerates, organizations are beginning to rationalize investments into a single, highly scalable infrastructure. Is your organization ready for Enterprise 2.0 in 2011? Learn more.

  Read the article

• Cannot Mount USB 3.0 Hard Disk ?!!

  - by Tenken

  Hi, I have a USB 3.0 external hard disk which I am unable to mount. The entry appears in the "lsusb" command, but I do not exactly understand how to mount it. This is the output for my lsusb command. "ASMedia Technology Inc." is the USB 3.0 device. I would appreciate some help in mounting and accessing the hard disk. This the relevant output of my "lsusb -v" : Bus 009 Device 002: ID 174c:5106 ASMedia Technology Inc. Device Descriptor: bLength 18 bDescriptorType 1 bcdUSB 2.10 bDeviceClass 0 (Defined at Interface level) bDeviceSubClass 0 bDeviceProtocol 0 bMaxPacketSize0 64 idVendor 0x174c ASMedia Technology Inc. idProduct 0x5106 bcdDevice 0.01 iManufacturer 2 ASMedia iProduct 3 AS2105 iSerial 1 00000000000000000000 bNumConfigurations 1 Configuration Descriptor: bLength 9 bDescriptorType 2 wTotalLength 32 bNumInterfaces 1 bConfigurationValue 1 iConfiguration 0 bmAttributes 0xc0 Self Powered MaxPower 0mA Interface Descriptor: bLength 9 bDescriptorType 4 bInterfaceNumber 0 bAlternateSetting 0 bNumEndpoints 2 bInterfaceClass 8 Mass Storage bInterfaceSubClass 6 SCSI bInterfaceProtocol 80 Bulk (Zip) iInterface 0 Endpoint Descriptor: bLength 7 bDescriptorType 5 bEndpointAddress 0x81 EP 1 IN bmAttributes 2 Transfer Type Bulk Synch Type None Usage Type Data wMaxPacketSize 0x0200 1x 512 bytes bInterval 0 Endpoint Descriptor: bLength 7 bDescriptorType 5 bEndpointAddress 0x02 EP 2 OUT bmAttributes 2 Transfer Type Bulk Synch Type None Usage Type Data wMaxPacketSize 0x0200 1x 512 bytes bInterval 0 Device Qualifier (for other device speed): bLength 10 bDescriptorType 6 bcdUSB 2.10 bDeviceClass 0 (Defined at Interface level) bDeviceSubClass 0 bDeviceProtocol 0 bMaxPacketSize0 64 bNumConfigurations 1 Device Status: 0x0001 Self Powered Bus 009 Device 001: ID 1d6b:0003 Linux Foundation 3.0 root hub Device Descriptor: bLength 18 bDescriptorType 1 bcdUSB 3.00 bDeviceClass 9 Hub bDeviceSubClass 0 Unused bDeviceProtocol 3 bMaxPacketSize0 9 idVendor 0x1d6b Linux Foundation idProduct 0x0003 3.0 root hub bcdDevice 2.06 iManufacturer 3 Linux 2.6.35-28-generic xhci_hcd iProduct 2 xHCI Host Controller iSerial 1 0000:04:00.0 bNumConfigurations 1 Configuration Descriptor: bLength 9 bDescriptorType 2 wTotalLength 25 bNumInterfaces 1 bConfigurationValue 1 iConfiguration 0 bmAttributes 0xe0 Self Powered Remote Wakeup MaxPower 0mA Interface Descriptor: bLength 9 bDescriptorType 4 bInterfaceNumber 0 bAlternateSetting 0 bNumEndpoints 1 bInterfaceClass 9 Hub bInterfaceSubClass 0 Unused bInterfaceProtocol 0 Full speed (or root) hub iInterface 0 Endpoint Descriptor: bLength 7 bDescriptorType 5 bEndpointAddress 0x81 EP 1 IN bmAttributes 3 Transfer Type Interrupt Synch Type None Usage Type Data wMaxPacketSize 0x0004 1x 4 bytes bInterval 12 Hub Descriptor: bLength 9 bDescriptorType 41 nNbrPorts 4 wHubCharacteristic 0x0009 Per-port power switching Per-port overcurrent protection TT think time 8 FS bits bPwrOn2PwrGood 10 * 2 milli seconds bHubContrCurrent 0 milli Ampere DeviceRemovable 0x00 PortPwrCtrlMask 0xff Hub Port Status: Port 1: 0000.0100 power Port 2: 0000.0100 power Port 3: 0000.0503 highspeed power enable connect Port 4: 0000.0503 highspeed power enable connect Device Status: 0x0003 Self Powered Remote Wakeup Enabled This is the error given when I try to mount the hard drive: shinso@shinso-IdeaPad:~$ sudo mount /dev/sdb /mnt [sudo] password for shinso: mount: /dev/sdb: unknown device This the output of "dmesg|tail": [30062.774178] Either the lower file is not in a valid eCryptfs format, or the key could not be retrieved. Plaintext passthrough mode is not enabled; returning -EIO [30535.800977] usb 9-4: USB disconnect, address 3 [30659.237342] Valid eCryptfs headers not found in file header region or xattr region [30659.237351] Either the lower file is not in a valid eCryptfs format, or the key could not be retrieved. Plaintext passthrough mode is not enabled; returning -EIO [31259.268310] Valid eCryptfs headers not found in file header region or xattr region [31259.268313] Either the lower file is not in a valid eCryptfs format, or the key could not be retrieved. Plaintext passthrough mode is not enabled; returning -EIO [31860.059058] Valid eCryptfs headers not found in file header region or xattr region [31860.059062] Either the lower file is not in a valid eCryptfs format, or the key could not be retrieved. Plaintext passthrough mode is not enabled; returning -EIO [32465.220590] Valid eCryptfs headers not found in file header region or xattr region [32465.220593] Either the lower file is not in a valid eCryptfs format, or the key could not be retrieved. Plaintext passthrough mode is not enabled; returning -EIO I am using Ubuntu 10.10 (64 bit). Any help is appreciated.

  Read the article

• Taking HRMS to the Cloud to Simplify Human Resources Management

  - by HCM-Oracle

  By Anke Mogannam With human capital management (HCM) a top-of-mind issue for executives in every industry, human resources (HR) organizations are poised to have their day in the sun—proving not just their administrative worth but their strategic value as well.  To make good on that promise, however, HR must modernize. Indeed, if HR is to act as an agent of change—providing the swift reallocation of employees  and the rapid absorption of employee data required for enterprises to shift course on a dime—it must first deal with the disruptive change at its own front door. And increasingly, that means choosing the right technology and human resources management system (HRMS) for managing the entire employee lifecycle. Unfortunately, for most organizations, this task has proved easier said than done. This is because while much has been written about advances in HRMS technology, until recently, most of those advances took the form of disparate on-premises solutions designed to serve very specific purposes. Although this may have resulted in key competencies in certain areas, it also meant that processes for core HR functions like payroll and benefits were being carried out in separate systems from those used for talent management, workforce optimization, training, and so on. With no integration—and no single system of record—processes were disconnected, ease of use was impeded, user experience was diminished, and vital data was left untapped.  Today, however, that scenario has begun to change, and end-to-end cloud-based HCM solutions have moved from wished-for innovations to real-life solutions. Why, then, have HR organizations been so slow in adopting them? The answer—it would seem—is, “It’s complicated.” So complicated, in fact, that 45 percent of the respondents to PwC’s “Annual HR Technology Survey” (for 2013) reported having no formal HR software roadmap, and 40 percent stated that they “did not know” whether their organizations would be increasing their use of cloud or software as a service (SaaS) for HR.  Clearly, HR organizations need help sorting through the morass of HR software options confronting them. But just as clearly, there’s an enormous opportunity awaiting those that do. The trick will come in charting a course that allows HR to leverage existing technology while investing in the cloud-based solutions that will deliver the end-to-end processes, easy-to-understand analytics, and superior adaptability required to simplify—and add value to—every aspect of employee management. The Opportunity therefore is to cut costs, drive Innovation, and increase engagement by moving to cloud-based HCM.  Then you will benefit from one Interface, leverage many access points, and  gain at-a-glance insight across your entire workforce. With many legacy on-premises HR systems not being efficient anymore and cloud-based, integrated systems that span the range of HR functions finally reaching maturity, the time is ripe for moving core HR to the cloud. Indeed, for the first time ever there are more HRMS replacement initiatives than HRMS upgrade initiatives under way, and the majority of them involve moving to the cloud per Cedar Crestone’s 2013-2014 HRMS survey. To learn how you can launch your own cloud HCM initiative and begin using HR to power the enterprise, visit Oracle HRMS in the Cloud and Oracle’s new customer 2 cloud program. Anke Mogannam brings more than 16 years of marketing and human capital management experience in the technology industries to her role at Oracle where she is part of the Human Capital Management applications marketing team. In that role, Anke drives content marketing, messaging, go-to-market activities, integrated marketing campaigns, and field enablement. Prior to joining Oracle, Anke held several roles in communications, marketing, HCM product strategy and product management at PeopleSoft, SAP, Workday and Saba. Follow her on Twitter @amogannam

  Read the article

• Omni-directional light shadow mapping with cubemaps in WebGL

  - by Winged

  First of all I must say, that I have read a lot of posts describing an usage of cubemaps, but I'm still confused about how to use them. My goal is to achieve a simple omni-directional (point) light type shading in my WebGL application. I know that there is a lot more techniques (like using Two-Hemispheres or Camera Space Shadow Mapping) which are way more efficient, but for an educational purpose cubemaps are my primary goal. Till now, I have adapted a simple shadow mapping which works with spotlights (with one exception: I don't know how to cut off the glitchy part beyond the reach of a single shadow map texture): glitchy shadow mapping<<< So for now, this is how I understand the usage of cubemaps in shadow mapping: Setup a framebuffer (in case of cubemaps - 6 framebuffers; 6 instead of 1 because every usage of framebufferTexture2D slows down an execution which is nicely described here <<<) and a texture cubemap. Also in WebGL depth components are not well supported, so I need to render it to RGBA first. this.texture = gl.createTexture(); gl.bindTexture(gl.TEXTURE_CUBE_MAP, this.texture); gl.texParameteri(gl.TEXTURE_CUBE_MAP, gl.TEXTURE_MIN_FILTER, gl.LINEAR); gl.texParameteri(gl.TEXTURE_CUBE_MAP, gl.TEXTURE_MAG_FILTER, gl.LINEAR); for (var face = 0; face < 6; face++) gl.texImage2D(gl.TEXTURE_CUBE_MAP_POSITIVE_X + face, 0, gl.RGBA, this.size, this.size, 0, gl.RGBA, gl.UNSIGNED_BYTE, null); gl.bindTexture(gl.TEXTURE_CUBE_MAP, null); this.framebuffer = []; for (face = 0; face < 6; face++) { this.framebuffer[face] = gl.createFramebuffer(); gl.bindFramebuffer(gl.FRAMEBUFFER, this.framebuffer[face]); gl.framebufferTexture2D(gl.FRAMEBUFFER, gl.COLOR_ATTACHMENT0, gl.TEXTURE_CUBE_MAP_POSITIVE_X + face, this.texture, 0); gl.framebufferRenderbuffer(gl.FRAMEBUFFER, gl.DEPTH_ATTACHMENT, gl.RENDERBUFFER, this.depthbuffer); var e = gl.checkFramebufferStatus(gl.FRAMEBUFFER); // Check for errors if (e !== gl.FRAMEBUFFER_COMPLETE) throw "Cubemap framebuffer object is incomplete: " + e.toString(); } Setup the light and the camera (I'm not sure if should I store all of 6 view matrices and send them to shaders later, or is there a way to do it with just one view matrix). Render the scene 6 times from the light's position, each time in another direction (X, -X, Y, -Y, Z, -Z) for (var face = 0; face < 6; face++) { gl.bindFramebuffer(gl.FRAMEBUFFER, shadow.buffer.framebuffer[face]); gl.viewport(0, 0, shadow.buffer.size, shadow.buffer.size); gl.clear(gl.COLOR_BUFFER_BIT | gl.DEPTH_BUFFER_BIT); camera.lookAt( light.position.add( cubeMapDirections[face] ) ); scene.draw(shadow.program); } In a second pass, calculate the projection a a current vertex using light's projection and view matrix. Now I don't know If should I calculate 6 of them, because of 6 faces of a cubemap. ScaleMatrix pushes the projected vertex into the 0.0 - 1.0 region. vDepthPosition = ScaleMatrix * uPMatrixFromLight * uVMatrixFromLight * vWorldVertex; In a fragment shader calculate the distance between the current vertex and the light position and check if it's deeper then the depth information read from earlier rendered shadow map. I know how to do it with a 2D Texture, but I have no idea how should I use cubemap texture here. I have read that texture lookups into cubemaps are performed by a normal vector instead of a UV coordinate. What vector should I use? Just a normalized vector pointing to the current vertex? For now, my code for this part looks like this (not working yet): float shadow = 1.0; vec3 depth = vDepthPosition.xyz / vDepthPosition.w; depth.z = length(vWorldVertex.xyz - uLightPosition) * linearDepthConstant; float shadowDepth = unpack(textureCube(uDepthMapSampler, vWorldVertex.xyz)); if (depth.z > shadowDepth) shadow = 0.5; Could you give me some hints or examples (preferably in WebGL code) how I should build it?

  Read the article

• Heterogeneous Datacenter Management with Enterprise Manager 12c

  - by Joe Diemer

  The following is a Guest Blog, contributed by Bryce Kaiser, Product Manager at Blue MedoraWhen I envision a perfect datacenter, it would consist of technologies acquired from a single vendor across the entire server, middleware, application, network, and storage stack - Apps to Disk - that meets your organization’s every IT requirement with absolute best-of-breed solutions in every category.   To quote a familiar motto, your datacenter would consist of "Hardware and Software, Engineered to Work Together".  In almost all cases, practical realities dictate something far less than the IT Utopia mentioned above.   You may wish to leverage multiple vendors to keep licensing costs down, a single vendor may not have an offering in the IT category you need, or your preferred vendor may quite simply not have the solution that meets your needs.    In other words, your IT needs dictate a heterogeneous IT environment.  Heterogeneity, however, comes with additional complexity. The following are two pretty typical challenges:1) No End-to-End Visibility into the Enterprise Wide Application Deployment. Each vendor solution which is added to an infrastructure may bring its own tooling creating different consoles for different vendor applications and platforms.2) No Visibility into Performance Bottlenecks. When multiple management tools operate independently, you lose diagnostic capabilities including identifying cross-tier issues with database, hung-requests, slowness, memory leaks and hardware errors/failures causing DB/MW issues. As adoption of Oracle Enterprise Manager (EM) has increased, especially since the release of Enterprise Manager 12c, Oracle has seen an increase in the number of customers who want to leverage their investments in EM to manage non-Oracle workloads.  Enterprise Manager provides a single pane of glass view into their entire datacenter.  By creating a highly extensible framework via the Oracle EM Extensibility Development Kit (EDK), Oracle has provided the tooling for business partners such as my company Blue Medora as well as customers to easily fill gaps in the ecosystem and enhance existing solutions.  As mentioned in the previous post on the Enterprise Manager Extensibility Exchange, customers have access to an assortment of Oracle and Partner provided solutions through this Exchange, which is accessed at http://www.oracle.com/goto/emextensibility.  Currently, there are over 80 Oracle and partner provided plug-ins across the EM 11g and EM 12c versions.  Blue Medora is one of those contributing partners, for which you will find 3 of our solutions including our flagship plugin for VMware.  Let's look at Blue Medora’s VMware plug-in as an example to what I'm trying to convey.  Here is a common situation solved by true visibility into your entire stack:Symptoms•    My database is bogging down, however the database appears okay internally.  Maybe it’s starved for resources?•    My OS tooling is showing everything is “OK”.  Something doesn’t add up. Root cause•    Through the VMware plugin we can see the problem is actually on the virtualization layer Solution•    From within Enterprise Manager  -- the same tool you use for all of your database tuning -- we can overlay the data of the database target, host target, and virtual machine target for a true picture of the true root cause. Here is the console view: Perhaps your monitoring conditions are more specific to your environment.  No worries, Enterprise Manager still has you covered.  With Metric Extensions you have the “Next Generation” of User-Defined Metrics, which easily bring the power of your existing management scripts into a single console while leveraging the proven Enterprise Manager framework. Simply put, Oracle Enterprise manager boasts a growing ecosystem that provides the single pane of glass for your entire datacenter from the database and beyond.  Bryce can be contacted at [email protected]

  Read the article

• Multithreading 2D gravity calculations

  - by Postman

  I'm building a space exploration game and I've currently started working on gravity ( In C# with XNA). The gravity still needs tweaking, but before I can do that, I need to address some performance issues with my physics calculations. This is using 100 objects, normally rendering 1000 of them with no physics calculations gets well over 300 FPS (which is my FPS cap), but any more than 10 or so objects brings the game (and the single thread it runs on) to its knees when doing physics calculations. I checked my thread usage and the first thread was killing itself from all the work, so I figured I just needed to do the physics calculation on another thread. However when I try to run the Gravity.cs class's Update method on another thread, even if Gravity's Update method has nothing in it, the game is still down to 2 FPS. Gravity.cs public void Update() { foreach (KeyValuePair<string, Entity> e in entityEngine.Entities) { Vector2 Force = new Vector2(); foreach (KeyValuePair<string, Entity> e2 in entityEngine.Entities) { if (e2.Key != e.Key) { float distance = Vector2.Distance(entityEngine.Entities[e.Key].Position, entityEngine.Entities[e2.Key].Position); if (distance > (entityEngine.Entities[e.Key].Texture.Width / 2 + entityEngine.Entities[e2.Key].Texture.Width / 2)) { double angle = Math.Atan2(entityEngine.Entities[e2.Key].Position.Y - entityEngine.Entities[e.Key].Position.Y, entityEngine.Entities[e2.Key].Position.X - entityEngine.Entities[e.Key].Position.X); float mult = 0.1f * (entityEngine.Entities[e.Key].Mass * entityEngine.Entities[e2.Key].Mass) / distance * distance; Vector2 VecForce = new Vector2((float)Math.Cos(angle), (float)Math.Sin(angle)); VecForce.Normalize(); Force = Vector2.Add(Force, VecForce * mult); } } } entityEngine.Entities[e.Key].Position += Force; } } Yeah, I know. It's a nested foreach loop, but I don't know how else to do the gravity calculation, and this seems to work, it's just so intensive that it needs its own thread. (Even if someone knows a super efficient way to do these calculations, I'd still like to know how I COULD do it on multiple threads instead) EntityEngine.cs (manages an instance of Gravity.cs) public class EntityEngine { public Dictionary<string, Entity> Entities = new Dictionary<string, Entity>(); public Gravity gravity; private Thread T; public EntityEngine() { gravity = new Gravity(this); } public void Update() { foreach (KeyValuePair<string, Entity> e in Entities) { Entities[e.Key].Update(); } T = new Thread(new ThreadStart(gravity.Update)); T.IsBackground = true; T.Start(); } } EntityEngine is created in Game1.cs, and its Update() method is called within Game1.cs. I need my physics calculation in Gravity.cs to run every time the game updates, in a separate thread so that the calculation doesn't slow the game down to horribly low (0-2) FPS. How would I go about making this threading work? (any suggestions for an improved Planetary Gravity system are welcome if anyone has them) I'm also not looking for a lesson in why I shouldn't use threading or the dangers of using it incorrectly, I'm looking for a straight answer on how to do it. I've already spent an hour googling this very question with little results that I understood or were helpful. I don't mean to come off rude, but it always seems hard as a programming noob to get a straight meaningful answer, I usually rather get an answer so complex I'd easily be able to solve my issue if I understood it, or someone saying why I shouldn't do what I want to do and offering no alternatives (that are helpful). Thank you for the help!

  Read the article

• Fast Data - Big Data's achilles heel

  - by thegreeneman

  At OOW 2013 in Mark Hurd and Thomas Kurian's keynote, they discussed Oracle's Fast Data software solution stack and discussed a number of customers deploying Oracle's Big Data / Fast Data solutions and in particular Oracle's NoSQL Database.  Since that time, there have been a large number of request seeking clarification on how the Fast Data software stack works together to deliver on the promise of real-time Big Data solutions.   Fast Data is a software solution stack that deals with one aspect of Big Data, high velocity.   The software in the Fast Data solution stack involves 3 key pieces and their integration:  Oracle Event Processing, Oracle Coherence, Oracle NoSQL Database.   All three of these technologies address a high throughput, low latency data management requirement.   Oracle Event Processing enables continuous query to filter the Big Data fire hose, enable intelligent chained events to real-time service invocation and augments the data stream to provide Big Data enrichment. Extended SQL syntax allows the definition of sliding windows of time to allow SQL statements to look for triggers on events like breach of weighted moving average on a real-time data stream.    Oracle Coherence is a distributed, grid caching solution which is used to provide very low latency access to cached data when the data is too big to fit into a single process, so it is spread around in a grid architecture to provide memory latency speed access.  It also has some special capabilities to deploy remote behavioral execution for "near data" processing.   The Oracle NoSQL Database is designed to ingest simple key-value data at a controlled throughput rate while providing data redundancy in a cluster to facilitate highly concurrent low latency reads.  For example, when large sensor networks are generating data that need to be captured while analysts are simultaneously extracting the data using range based queries for upstream analytics.  Another example might be storing cookies from user web sessions for ultra low latency user profile management, also leveraging that data using holistic MapReduce operations with your Hadoop cluster to do segmented site analysis.  Understand how NoSQL plays a critical role in Big Data capture and enrichment while simultaneously providing a low latency and scalable data management infrastructure thru clustered, always on, parallel processing in a shared nothing architecture. Learn how easily a NoSQL cluster can be deployed to provide essential services in industry specific Fast Data solutions. See these technologies work together in a demonstration highlighting the salient features of these Fast Data enabling technologies in a location based personalization service. The question then becomes how do these things work together to deliver an end to end Fast Data solution.  The answer is that while different applications will exhibit unique requirements that may drive the need for one or the other of these technologies, often when it comes to Big Data you may need to use them together.   You may have the need for the memory latencies of the Coherence cache, but just have too much data to cache, so you use a combination of Coherence and Oracle NoSQL to handle extreme speed cache overflow and retrieval.   Here is a great reference to how these two technologies are integrated and work together.  Coherence & Oracle NoSQL Database.   On the stream processing side, it is similar as with the Coherence case.  As your sliding windows get larger, holding all the data in the stream can become difficult and out of band data may need to be offloaded into persistent storage.  OEP needs an extreme speed database like Oracle NoSQL Database to help it continue to perform for the real time loop while dealing with persistent spill in the data stream.  Here is a great resource to learn more about how OEP and Oracle NoSQL Database are integrated and work together.  OEP & Oracle NoSQL Database.

  Read the article

< Previous Page | 297 298 299 300 301 302 303 304 305 306 307 308  | Next Page >