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  • Process Power to the People that Create Engagement

    - by Michael Snow
    Organizations often speak about their engagement problems as if the problem is the people they are trying to engage - employees,  partners, customers and citizens.  The reality of most engagement problems is that the processes put in place to engage are impersonal, inflexible, unintuitive, and often completely ignorant of the population they are trying to serve. Life, Liberty and the Pursuit of Delight? How appropriate during this short week of the US Independence Day Holiday that we're focusing on People, Process and Engagement. As we celebrate this holiday in the US and the historic independence we gained (sorry Brits!) - it's interesting to think back to 1776 to the creation of that pivotal document, the Declaration of Independence. What tremendous pressure to create an engaging document and founding experience they must have felt. "On June 11, 1776, in anticipation of the impending vote for independence from Great Britain, the Continental Congress appointed five men — Thomas Jefferson, John Adams, Benjamin Franklin, Roger Sherman, and Robert Livingston — to write a declaration that would make clear to people everywhere why this break from Great Britain was both necessary and inevitable. The committee then appointed Jefferson to draft a statement. Jefferson produced a "fair copy" of his draft declaration, which became the basic text of his "original Rough draught." The text was first submitted to Adams, then Franklin, and finally to the other two members of the committee. Before the committee submitted the declaration to Congress on June 28, they made forty-seven emendations to the document. During the ensuing congressional debates of July 1-4, 1776, Congress adopted thirty-nine further revisions to the committee draft. (http://www.constitution.org) If anything was an attempt for engaging the hearts and minds of the 13 Colonies at the time, this document certainly succeeded in its mission. ...Their tools at the time were pen and ink and parchment. Although the final document would later be typeset with lead type for a printing press to distribute to the colonies, all of the original drafts were hand written. And today's enterprise complains about using "Review and Track Changes" at times.  Can you imagine the manual revision control process? or lack thereof?  Collaborative process? Time delays? Would  implementing a better process have helped our founding fathers collaborate better? Declaration of Independence rough draft below. One of many during the creation process. Great comparison across multiple versions of the document here. (from http://www.ushistory.org/): While you may not be creating a new independent nation, getting your employees to engage is crucial to your success as a company in today's world. Oracle WebCenter provides the tools that power engagement. Employees that have better tools for communication, collaboration and getting their job done are more engaged employees. Better engaged employees create more engaged customers and partners. 12.00 Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 -"/ /* 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:0in; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:10.0pt; font-family:"Times New Roman","serif"; mso-fareast-font-family:"Times New Roman";}

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  • Observing flow control idle time in TCP

    - by user12820842
    Previously I described how to observe congestion control strategies during transmission, and here I talked about TCP's sliding window approach for handling flow control on the receive side. A neat trick would now be to put the pieces together and ask the following question - how often is TCP transmission blocked by congestion control (send-side flow control) versus a zero-sized send window (which is the receiver saying it cannot process any more data)? So in effect we are asking whether the size of the receive window of the peer or the congestion control strategy may be sub-optimal. The result of such a problem would be that we have TCP data that we could be transmitting but we are not, potentially effecting throughput. So flow control is in effect: when the congestion window is less than or equal to the amount of bytes outstanding on the connection. We can derive this from args[3]-tcps_snxt - args[3]-tcps_suna, i.e. the difference between the next sequence number to send and the lowest unacknowledged sequence number; and when the window in the TCP segment received is advertised as 0 We time from these events until we send new data (i.e. args[4]-tcp_seq = snxt value when window closes. Here's the script: #!/usr/sbin/dtrace -s #pragma D option quiet tcp:::send / (args[3]-tcps_snxt - args[3]-tcps_suna) = args[3]-tcps_cwnd / { cwndclosed[args[1]-cs_cid] = timestamp; cwndsnxt[args[1]-cs_cid] = args[3]-tcps_snxt; @numclosed["cwnd", args[2]-ip_daddr, args[4]-tcp_dport] = count(); } tcp:::send / cwndclosed[args[1]-cs_cid] && args[4]-tcp_seq = cwndsnxt[args[1]-cs_cid] / { @meantimeclosed["cwnd", args[2]-ip_daddr, args[4]-tcp_dport] = avg(timestamp - cwndclosed[args[1]-cs_cid]); @stddevtimeclosed["cwnd", args[2]-ip_daddr, args[4]-tcp_dport] = stddev(timestamp - cwndclosed[args[1]-cs_cid]); @numclosed["cwnd", args[2]-ip_daddr, args[4]-tcp_dport] = count(); cwndclosed[args[1]-cs_cid] = 0; cwndsnxt[args[1]-cs_cid] = 0; } tcp:::receive / args[4]-tcp_window == 0 && (args[4]-tcp_flags & (TH_SYN|TH_RST|TH_FIN)) == 0 / { swndclosed[args[1]-cs_cid] = timestamp; swndsnxt[args[1]-cs_cid] = args[3]-tcps_snxt; @numclosed["swnd", args[2]-ip_saddr, args[4]-tcp_dport] = count(); } tcp:::send / swndclosed[args[1]-cs_cid] && args[4]-tcp_seq = swndsnxt[args[1]-cs_cid] / { @meantimeclosed["swnd", args[2]-ip_daddr, args[4]-tcp_sport] = avg(timestamp - swndclosed[args[1]-cs_cid]); @stddevtimeclosed["swnd", args[2]-ip_daddr, args[4]-tcp_sport] = stddev(timestamp - swndclosed[args[1]-cs_cid]); swndclosed[args[1]-cs_cid] = 0; swndsnxt[args[1]-cs_cid] = 0; } END { printf("%-6s %-20s %-8s %-25s %-8s %-8s\n", "Window", "Remote host", "Port", "TCP Avg WndClosed(ns)", "StdDev", "Num"); printa("%-6s %-20s %-8d %@-25d %@-8d %@-8d\n", @meantimeclosed, @stddevtimeclosed, @numclosed); } So this script will show us whether the peer's receive window size is preventing flow ("swnd" events) or whether congestion control is limiting flow ("cwnd" events). As an example I traced on a server with a large file transfer in progress via a webserver and with an active ssh connection running "find / -depth -print". Here is the output: ^C Window Remote host Port TCP Avg WndClosed(ns) StdDev Num cwnd 10.175.96.92 80 86064329 77311705 125 cwnd 10.175.96.92 22 122068522 151039669 81 So we see in this case, the congestion window closes 125 times for port 80 connections and 81 times for ssh. The average time the window is closed is 0.086sec for port 80 and 0.12sec for port 22. So if you wish to change congestion control algorithm in Oracle Solaris 11, a useful step may be to see if congestion really is an issue on your network. Scripts like the one posted above can help assess this, but it's worth reiterating that if congestion control is occuring, that's not necessarily a problem that needs fixing. Recall that congestion control is about controlling flow to prevent large-scale drops, so looking at congestion events in isolation doesn't tell us the whole story. For example, are we seeing more congestion events with one control algorithm, but more drops/retransmission with another? As always, it's best to start with measures of throughput and latency before arriving at a specific hypothesis such as "my congestion control algorithm is sub-optimal".

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  • Java EE 8 update

    - by delabassee
    Planning for Java EE 8 is now well underway. As you know, a few weeks ago, we conducted a three part Java EE 8 Community Survey (you can find the final summary here). The data gathered have been very influential for the next steps. You can now expect over the coming weeks and months to see updates on the various specifications that compose the Java EE platform. Some Specification Leads are busy gathering additional feedback regarding what they should focus their efforts on (e.g. CDI 2 survey). Other Specification Leads have already publicly exposed what they think should be one of the focus for the evolution of the specification they lead.  For example, adding Server-Senet Events (SSE) support in JAX-RS is being discussed here and adding MVC support is being discussed here. Please remember that the fact we are now discussing any feature does not insure that it will be included in the proposal, nor in any particular update to Java EE. We can expect additional enhancements, changes and evolutions as we get closer to the finalisation of the different specifications... and there is still a long way to go with these specification proposals! Linda DeMichiel, Java EE Co-Specification Lead, has recently posted a draft proposal for the Java EE 8 Platform specification. Linda's goal is to recruit people and companies supporting this proposal before submitting it to the JCP.  This draft proposal is very interesting reading as it contains relevant information on the plans for Java EE 8 such as : The themes: Support for the latest web standards (eg. HTTP 2.0)  Continue to work on ease of development Improve the infrastructure for cloud support Alignment with Java SE 8 New JSRs to be added to the platform: J-Cache Java API for JSON Binding Java Configuration Plans for the Web Profile Plans on technologies to prune in Java EE 8, ... So if you haven't done it yet, I really encourage you to read the Java EE 8 draft proposal! Our goal for the Java EE 8 specification is for it to be finalized in the second half of 2016. It is important to note that we are in the early days of Java EE 8 and at this stage everything (themes, content, timing, etc.) is preliminary. Everything still needs to be discussed, challenged and agreed within the different Java Community Process (JCP) Experts Groups (EGs). Some EGs that still need to be formed! It could also means that the roadmap will have to be adjusted to follow the progress being made in the different EGs. This is also a good occasion to remind you that participation within those upcoming JCP Experts Groups is encouraged. Contributing in an EG is an effective lever to influence what Java EE 8 will become! Finally, as things get more concrete, we will share details on how to engage in the different Java EE 8 related Adopt-a-JSR initiatives, another way to contribute. You can also read other posts related to Java EE 8, here at The Aquarium blog. Just look for articles with the 'javaee8' tag.

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  • Java EE 7 Roadmap

    - by Linda DeMichiel
    The Java EE 6 Platform, released in December 2009, has seen great uptake from the community with its POJO-based programming model, lightweight Web Profile, and extension points. There are now 13 Java EE 6 compliant appserver implementations today! When we announced the Java EE 7 JSR back in early 2011, our plans were that we would release it by Q4 2012. This target date was slightly over three years after the release of Java EE 6, but at the same time it meant that we had less than two years to complete a fairly comprehensive agenda — to continue to invest in significant enhancements in simplification, usability, and functionality in updated versions of the JSRs that are currently part of the platform; to introduce new JSRs that reflect emerging needs in the community; and to add support for use in cloud environments. We have since announced a minor adjustment in our dates (to the spring of 2013) in order to accommodate the inclusion of JSRs of importance to the community, such as Web Sockets and JSON-P. At this point, however, we have to make a choice. Despite our best intentions, our progress has been slow on the cloud side of our agenda. Partially this has been due to a lack of maturity in the space for provisioning, multi-tenancy, elasticity, and the deployment of applications in the cloud. And partially it is due to our conservative approach in trying to get things "right" in view of limited industry experience in the cloud area when we started this work. Because of this, we believe that providing solid support for standardized PaaS-based programming and multi-tenancy would delay the release of Java EE 7 until the spring of 2014 — that is, two years from now and over a year behind schedule. In our opinion, that is way too long. We have therefore proposed to the Java EE 7 Expert Group that we adjust our course of action — namely, stick to our current target release dates, and defer the remaining aspects of our agenda for PaaS enablement and multi-tenancy support to Java EE 8. Of course, we continue to believe that Java EE is well-suited for use in the cloud, although such use might not be quite ready for full standardization. Even today, without Java EE 7, Java EE vendors such as Oracle, Red Hat, IBM, and CloudBees have begun to offer the ability to run Java EE applications in the cloud. Deferring the remaining cloud-oriented aspects of our agenda has several important advantages: It allows Java EE Platform vendors to gain more experience with their implementations in this area and thus helps us avoid risks entailed by trying to standardize prematurely in an emerging area. It means that the community won't need to wait longer for those features that are ready at the cost of those features that need more time. Because we have already laid some of the infrastructure for cloud support in Java EE 7, including resource definition metadata, improved security configuration, JPA schema generation, etc., it will allow us to expedite a Java EE 8 release. We therefore plan to target the Java EE 8 Platform release for the spring of 2015. This shift in the scope of Java EE 7 allows us to better retain our focus on enhancements in simplification and usability and to deliver on schedule those features that have been most requested by developers. These include the support for HTML 5 in the form of Web Sockets and JSON-P; the simplified JMS 2.0 APIs; improved Managed Bean alignment, including transactional interceptors; the JAX-RS 2.0 client API; support for method-level validation; a much more comprehensive expression language; and more. We feel strongly that this is the right thing to do, and we hope that you will support us in this proposed direction.

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  • It happens only at Devoxx ...

    - by arungupta
    After attending several Java conferences world wide, this was my very first time at Devoxx. Here are some items I found that happens only at Devoxx ... Pioneers of theater-style seating - This not only provides comfortable seating for each attendee but the screens are very clearly visible to everybody in the room. Intellectual level of attendees is very high - Read more explanation on the Java EE 6 lab blog. In short, a lab, 1/3 of the content delivered at Devoxx 2011, could not be completed at other developer days in more than 1/3 the time. Snack box for lunches - Even though this suits well to the healthy lifestyle of multiple-snacks-during-a-day style but leaves attendees hungry sooner in the day. The longer breaks before the next snack in the evening does not help at all. Fortunately, Azure cupcakes and Android ice creams turned out to be handy. I finally carried my own apple :-) Wrist band instead of lanyard - The good part about this is that once tied to your hand then you are less likely to forget in your room. But OTOH you are a pretty much a branded conference attendee all through out the city. It was cost effective as it costed 20c as opposed to 1 euro for the lanyard. Live streaming from theater #8 (the biggest room) on parleys.com All talks recorded and released on parleys.com over next year. This allows attendees to not to miss any session and watch replay at their own leisure. Stephan promised to start sharing the sessions by mid December this year. No need to pre-register for a session - This is true for most of the conferences but bigger rooms (+ overflow room for key sessions) provide sufficient space for all those who want to attend the session. And of course all sessions are available on parleys.com anyway! Community votes on whiteboard - Devoxx attendees gets a chance to vote on topics ranging from their favorite non-Java language, operating system, or love from Oracle. Captured pictures at the end of Day 2 are shown below. Movie on the last but one night - This year it was The Adventures of Tintin and was lots of fun. Fries with mayo - This is a typical Belgian thing. Guys going in ladies room to avoid the long queues ... wow! Tweet wall everywhere and I mean literally everywhere, in rooms, hallways, front desk, and other places. The tweet picking algorithm was not very clear as I never saw my tweet appear on the wall ;-) You can also watch it at wall.devoxx.com. Cozy speaker dinner with great food and wine List of parallel and upcoming sessions displayed on the screen - This makes the information more explicit with the attendees. REST API with multiple mobile clients - This API is also used by some other conferences as well. And there always is iphone.devoxx.com. Steering committee members were recognized multiple times. The committee members were clearly identifiable wearing red hoodies. The wireless SSID was intuitive "Devoxx" but hidden to avoid some crap from Microsoft Windows. All of 9000 addresses were used up most of the times with each attendee having multiple devices. A 1 GB fibre optic cable was stretched to Metropolis to support the required network bandwidth. Stephan is already planning to upgrade the equipment and have a better infrastructure next year. Free water, soda, juice in a cooler Kinect connected to TV screens so that attendees can use their hands to browse through the list of sesssions. #devoxxblog, #devoxxwomen, #devoxxfrance, #devoxxgreat, #devoxxsuggestions And Devoxx attendees are called Devoxxians ... how cool is that ? :-) What other things do you think happen only at Devoxx ? And now the pictures from the community whiteboard: And a more complete album (including bigger pics of community votes) is available below:

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  • Exalogic 2.0.1 Tea Break Snippets - Creating and using Distribution Groups

    - by The Old Toxophilist
    By default running your Exalogic in a Virtual provides you with, what to Cloud Users, is a single large resource and they can just create vServers and not care about how they are laid down on the the underlying infrastructure. All the Cloud Users will know is that they can create vServers. For example if we have a Quarter Rack (8 Nodes) and our Cloud User creates 8 vServers those 8 vServers may run on 8 distinct nodes or may all run on the same node. Although in many cases we, as Cloud Users, may not be to worried how the Virtualisation Algorithm decides where to place our vServers there are cases where it is extremely important that vServers run on distinct physical compute nodes. For example if we have a Weblogic Cluster we will want the Servers with in the cluster to run on distinct physical node to cover for the situation where one physical node is lost. To achieve this the Exalogic Virtualised implementation provides Distribution Groups that define and anti-aliasing policy that the underlying Virtualisation Algorithm will take into account when placing vServers. It should be noted that Distribution Groups must be created before you create vServers because a vServer can only be added to a Distribution Group at creation time. Creating A Distribution Group To create a Distribution Groups we will first need to select the Account in which we want the Distribution Group to be created. Once we have selected the account we will see the Interface update and Account specific Actions will be displayed within the Action Panes. From the Action pane (or Right-Click on the Account) select the "Create Distribution Group" action. This will initiate the create wizard as follows. Distribution Group Details Within the first Step of the Wizard we can specify the name of the distribution group and this should be unique. In addition we can provide a detailed description of the group. Distribution Group Configuration The second step of the configuration wizard allows you to specify the number of elements that are required within this group and will specify a maximum of the number of nodes within you Exalogic. At this point it is always better to specify a group with spare capacity allowing for future expansion. As vServers are added to group the available slots decrease. Summary Finally the last step of the wizard display a summary of the information entered.

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  • ORE graphics using Remote Desktop Protocol

    - by Sherry LaMonica
    Oracle R Enterprise graphics are returned as raster, or bitmap graphics. Raster images consist of tiny squares of color information referred to as pixels that form points of color to create a complete image. Plots that contain raster images render quickly in R and create small, high-quality exported image files in a wide variety of formats. However, it is a known issue that the rendering of raster images can be problematic when creating graphics using a Remote Desktop connection. Raster images do not display in the windows device using Remote Desktop under the default settings. This happens because Remote Desktop restricts the number of colors when connecting to a Windows machine to 16 bits per pixel, and interpolating raster graphics requires many colors, at least 32 bits per pixel.. For example, this simple embedded R image plot will be returned in a raster-based format using a standalone Windows machine:  R> library(ORE) R> ore.connect(user="rquser", sid="orcl", host="localhost", password="rquser", all=TRUE)  R> ore.doEval(function() image(volcano, col=terrain.colors(30))) Here, we first load the ORE packages and connect to the database instance using database login credentials. The ore.doEval function executes the R code within the database embedded R engine and returns the image back to the client R session. Over a Remote Desktop connection under the default settings, this graph will appear blank due to the restricted number of colors. Users who encounter this issue have two options to display ORE graphics over Remote Desktop: either raise Remote Desktop's Color Depth or direct the plot output to an alternate device. Option #1: Raise Remote Desktop Color Depth setting In a Remote Desktop session, all environment variables, including display variables determining Color Depth, are determined by the RCP-Tcp connection settings. For example, users can reduce the Color Depth when connecting over a slow connection. The different settings are 15 bits, 16 bits, 24 bits, or 32 bits per pixel. To raise the Remote Desktop color depth: On the Windows server, launch Remote Desktop Session Host Configuration from the Accessories menu.Under Connections, right click on RDP-Tcp and select Properties.On the Client Settings tab either uncheck LimitMaximum Color Depth or set it to 32 bits per pixel. Click Apply, then OK, log out of the remote session and reconnect.After reconnecting, the Color Depth on the Display tab will be set to 32 bits per pixel.  Raster graphics will now display as expected. For ORE users, the increased color depth results in slightly reduced performance during plot creation, but the graph will be created instead of displaying an empty plot. Option #2: Direct plot output to alternate device Plotting to a non-windows device is a good option if it's not possible to increase Remote Desktop Color Depth, or if performance is degraded when creating the graph. Several device drivers are available for off-screen graphics in R, such as postscript, pdf, and png. On-screen devices include windows, X11 and Cairo. Here we output to the Cairo device to render an on-screen raster graphic.  The grid.raster function in the grid package is analogous to other grid graphical primitives - it draws a raster image within the current plot's grid.  R> options(device = "CairoWin") # use Cairo device for plotting during the session R> library(Cairo) # load Cairo, grid and png libraries  R> library(grid) R> library(png)  R> res <- ore.doEval(function()image(volcano,col=terrain.colors(30))) # create embedded R plot  R> img <- ore.pull(res, graphics = TRUE)$img[[1]] # extract image  R> grid.raster(as.raster(readPNG(img)), interpolate = FALSE) # generate raster graph R> dev.off() # turn off first device   By default, the interpolate argument to grid.raster is TRUE, which means that what is actually drawn by R is a linear interpolation of the pixels in the original image. Setting interpolate to FALSE uses a sample from the pixels in the original image.A list of graphics devices available in R can be found in the Devices help file from the grDevices package: R> help(Devices)

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  • Essbase BSO Data Fragmentation

    - by Ann Donahue
    Essbase BSO Data Fragmentation Data fragmentation naturally occurs in Essbase Block Storage (BSO) databases where there are a lot of end user data updates, incremental data loads, many lock and send, and/or many calculations executed.  If an Essbase database starts to experience performance slow-downs, this is an indication that there may be too much fragmentation.  See Chapter 54 Improving Essbase Performance in the Essbase DBA Guide for more details on measuring and eliminating fragmentation: http://docs.oracle.com/cd/E17236_01/epm.1112/esb_dbag/daprcset.html Fragmentation is likely to occur in the following situations: Read/write databases that users are constantly updating data Databases that execute calculations around the clock Databases that frequently update and recalculate dense members Data loads that are poorly designed Databases that contain a significant number of Dynamic Calc and Store members Databases that use an isolation level of uncommitted access with commit block set to zero There are two types of data block fragmentation Free space tracking, which is measured using the Average Fragmentation Quotient statistic. Block order on disk, which is measured using the Average Cluster Ratio statistic. Average Fragmentation Quotient The Average Fragmentation Quotient ratio measures free space in a given database.  As you update and calculate data, empty spaces occur when a block can no longer fit in its original space and will either append at the end of the file or fit in another empty space that is large enough.  These empty spaces take up space in the .PAG files.  The higher the number the more empty spaces you have, therefore, the bigger the .PAG file and the longer it takes to traverse through the .PAG file to get to a particular record.  An Average Fragmentation Quotient value of 3.174765 means the database is 3% fragmented with free space. Average Cluster Ratio Average Cluster Ratio describes the order the blocks actually exist in the database. An Average Cluster Ratio number of 1 means all the blocks are ordered in the correct sequence in the order of the Outline.  As you load data and calculate data blocks, the sequence can start to be out of order.  This is because when you write to a block it may not be able to place back in the exact same spot in the database that it existed before.  The lower this number the more out of order it becomes and the more it affects performance.  An Average Cluster Ratio value of 1 means no fragmentation.  Any value lower than 1 i.e. 0.01032828 means the data blocks are getting further out of order from the outline order. Eliminating Data Block Fragmentation Both types of data block fragmentation can be removed by doing a dense restructure or export/clear/import of the data.  There are two types of dense restructure: 1. Implicit Restructures Implicit dense restructure happens when outline changes are done using EAS Outline Editor or Dimension Build. Essbase restructures create new .PAG files restructuring the data blocks in the .PAG files. When Essbase restructures the data blocks, it regenerates the index automatically so that index entries point to the new data blocks. Empty blocks are NOT removed with implicit restructures. 2. Explicit Restructures Explicit dense restructure happens when a manual initiation of the database restructure is executed. An explicit dense restructure is a full restructure which comprises of a dense restructure as outlined above plus the removal of empty blocks Empty Blocks vs. Fragmentation The existence of empty blocks is not considered fragmentation.  Empty blocks can be created through calc scripts or formulas.  An empty block will add to an existing database block count and will be included in the block counts of the database properties.  There are no statistics for empty blocks.  The only way to determine if empty blocks exist in an Essbase database is to record your current block count, export the entire database, clear the database then import the exported data.  If the block count decreased, the difference is the number of empty blocks that had existed in the database.

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  • HERMES Medical Solutions Helps Save Lives with MySQL

    - by Bertrand Matthelié
    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:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Cambria","serif"; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin;} HERMES Medical Solutions was established in 1976 in Stockholm, Sweden, and is a leading innovator in medical imaging hardware/software products for health care facilities worldwide. HERMES delivers a plethora of different medical imaging solutions to optimize hospital workflow. 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:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Cambria","serif"; mso-ascii-font-family:Cambria; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Cambria; mso-hansi-theme-font:minor-latin;} HERMES advanced algorithms make it possible to detect the smallest changes under therapies important and necessary to optimize different therapeutic methods and doses. Challenges Fighting illness & disease requires state-of-the-art imaging modalities and software in order to diagnose accurately, stage disease appropriately and select the best treatment available. Selecting and implementing a new database platform that would deliver the needed performance, reliability, security and flexibility required by the high-end medical solutions offered by HERMES. Solution Decision to migrate from in-house database to an embedded SQL database powering the HERMES products, delivered either as software, integrated hardware and software solutions, or via the cloud in a software-as-a-service configuration. Evaluation of several databases and selection of MySQL based on its high performance, ease of use and integration, and low Total Cost of Ownership. On average, between 4 and 12 Terabytes of data are stored in MySQL databases underpinning the HERMES solutions. The data generated by each medical study is indeed stored during 10 years or more after the treatment was performed. MySQL-based HERMES systems also allow doctors worldwide to conduct new drug research projects leveraging the large amount of medical data collected. Hospitals and other HERMES customers worldwide highly value the “zero administration” capabilities and reliability of MySQL, enabling them to perform medical analysis without any downtime. Relying on MySQL as their embedded database, the HERMES team has been able to increase their focus on further developing their clinical applications. HERMES Medical Solutions could leverage the Oracle Financing payment plan to spread its investment over time and make the MySQL choice even more valuable. “MySQL has proven to be an excellent database choice for us. We offer high-end medical solutions, and MySQL delivers the reliability, security and performance such solutions require.” Jan Bertling, CEO.

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  • Java @Contented annotation to help reduce false sharing

    - by Dave
    See this posting by Aleksey Shipilev for details -- @Contended is something we've wanted for a long time. The JVM provides automatic layout and placement of fields. Usually it'll (a) sort fields by descending size to improve footprint, and (b) pack reference fields so the garbage collector can process a contiguous run of reference fields when tracing. @Contended gives the program a way to provide more explicit guidance with respect to concurrency and false sharing. Using this facility we can sequester hot frequently written shared fields away from other mostly read-only or cold fields. The simple rule is that read-sharing is cheap, and write-sharing is very expensive. We can also pack fields together that tend to be written together by the same thread at about the same time. More generally, we're trying to influence relative field placement to minimize coherency misses. Fields that are accessed closely together in time should be placed proximally in space to promote cache locality. That is, temporal locality should condition spatial locality. Fields accessed together in time should be nearby in space. That having been said, we have to be careful to avoid false sharing and excessive invalidation from coherence traffic. As such, we try to cluster or otherwise sequester fields that tend to written at approximately the same time by the same thread onto the same cache line. Note that there's a tension at play: if we try too hard to minimize single-threaded capacity misses then we can end up with excessive coherency misses running in a parallel environment. Theres no single optimal layout for both single-thread and multithreaded environments. And the ideal layout problem itself is NP-hard. Ideally, a JVM would employ hardware monitoring facilities to detect sharing behavior and change the layout on the fly. That's a bit difficult as we don't yet have the right plumbing to provide efficient and expedient information to the JVM. Hint: we need to disintermediate the OS and hypervisor. Another challenge is that raw field offsets are used in the unsafe facility, so we'd need to address that issue, possibly with an extra level of indirection. Finally, I'd like to be able to pack final fields together as well, as those are known to be read-only.

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  • Selective Suppression of Log Messages

    - by Duncan Mills
    Those of you who regularly read this blog will probably have noticed that I have a strange predilection for logging related topics, so why break this habit I ask?  Anyway here's an issue which came up recently that I thought was a good one to mention in a brief post.  The scenario really applies to production applications where you are seeing entries in the log files which are harmless, you know why they are there and are happy to ignore them, but at the same time you either can't or don't want to risk changing the deployed code to "fix" it to remove the underlying cause. (I'm not judging here). The good news is that the logging mechanism provides a filtering capability which can be applied to a particular logger to selectively "let a message through" or suppress it. This is the technique outlined below. First Create Your Filter  You create a logging filter by implementing the java.util.logging.Filter interface. This is a very simple interface and basically defines one method isLoggable() which simply has to return a boolean value. A return of false will suppress that particular log message and not pass it onto the handler. The method is passed the log record of type java.util.logging.LogRecord which provides you with access to everything you need to decide if you want to let this log message pass through or not, for example  getLoggerName(), getMessage() and so on. So an example implementation might look like this if we wanted to filter out all the log messages that start with the string "DEBUG" when the logging level is not set to FINEST:  public class MyLoggingFilter implements Filter {     public boolean isLoggable(LogRecord record) {         if ( !record.getLevel().equals(Level.FINEST) && record.getMessage().startsWith("DEBUG")){          return false;            }         return true;     } } Deploying   This code needs to be put into a JAR and added to your WebLogic classpath.  It's too late to load it as part of an application, so instead you need to put the JAR file into the WebLogic classpath using a mechanism such as the PRE_CLASSPATH setting in your domain setDomainEnv script. Then restart WLS of course. Using The final piece if to actually assign the filter.  The simplest way to do this is to add the filter attribute to the logger definition in the logging.xml file. For example, you may choose to define a logger for a specific class that is raising these messages and only apply the filter in that case.  <logger name="some.vendor.adf.ClassICantChange"         filter="oracle.demo.MyLoggingFilter"/> You can also apply the filter using WLST if you want a more script-y solution.

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  • Faster Memory Allocation Using vmtasks

    - by Steve Sistare
    You may have noticed a new system process called "vmtasks" on Solaris 11 systems: % pgrep vmtasks 8 % prstat -p 8 PID USERNAME SIZE RSS STATE PRI NICE TIME CPU PROCESS/NLWP 8 root 0K 0K sleep 99 -20 9:10:59 0.0% vmtasks/32 What is vmtasks, and why should you care? In a nutshell, vmtasks accelerates creation, locking, and destruction of pages in shared memory segments. This is particularly helpful for locked memory, as creating a page of physical memory is much more expensive than creating a page of virtual memory. For example, an ISM segment (shmflag & SHM_SHARE_MMU) is locked in memory on the first shmat() call, and a DISM segment (shmflg & SHM_PAGEABLE) is locked using mlock() or memcntl(). Segment operations such as creation and locking are typically single threaded, performed by the thread making the system call. In many applications, the size of a shared memory segment is a large fraction of total physical memory, and the single-threaded initialization is a scalability bottleneck which increases application startup time. To break the bottleneck, we apply parallel processing, harnessing the power of the additional CPUs that are always present on modern platforms. For sufficiently large segments, as many of 16 threads of vmtasks are employed to assist an application thread during creation, locking, and destruction operations. The segment is implicitly divided at page boundaries, and each thread is given a chunk of pages to process. The per-page processing time can vary, so for dynamic load balancing, the number of chunks is greater than the number of threads, and threads grab chunks dynamically as they finish their work. Because the threads modify a single application address space in compressed time interval, contention on locks protecting VM data structures locks was a problem, and we had to re-scale a number of VM locks to get good parallel efficiency. The vmtasks process has 1 thread per CPU and may accelerate multiple segment operations simultaneously, but each operation gets at most 16 helper threads to avoid monopolizing CPU resources. We may reconsider this limit in the future. Acceleration using vmtasks is enabled out of the box, with no tuning required, and works for all Solaris platform architectures (SPARC sun4u, SPARC sun4v, x86). The following tables show the time to create + lock + destroy a large segment, normalized as milliseconds per gigabyte, before and after the introduction of vmtasks: ISM system ncpu before after speedup ------ ---- ------ ----- ------- x4600 32 1386 245 6X X7560 64 1016 153 7X M9000 512 1196 206 6X T5240 128 2506 234 11X T4-2 128 1197 107 11x DISM system ncpu before after speedup ------ ---- ------ ----- ------- x4600 32 1582 265 6X X7560 64 1116 158 7X M9000 512 1165 152 8X T5240 128 2796 198 14X (I am missing the data for T4 DISM, for no good reason; it works fine). The following table separates the creation and destruction times: ISM, T4-2 before after ------ ----- create 702 64 destroy 495 43 To put this in perspective, consider creating a 512 GB ISM segment on T4-2. Creating the segment would take 6 minutes with the old code, and only 33 seconds with the new. If this is your Oracle SGA, you save over 5 minutes when starting the database, and you also save when shutting it down prior to a restart. Those minutes go directly to your bottom line for service availability.

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  • ADF page security - the untold password rule

    - by ankuchak
    I'm kinda new to Oracle ADF. So, in this blog post I'm going to share something with you that I faced (and recovered from) recently. Initially I thought if I should at all put a blog post on this, because it's totally simple. Still, simplicity is a relative term. So without wasting further time, let's kick off.    I was exploring the ADF security aspect to secure a page through html basic authentication. The idea is very simple and the credential store etc. come into picture. But I was not able to run a successful test of this phenomenally simple thing even after trying for over 30 minutes. This is what I did.   I created a simple jsf page and put a panel in it. And I put a simple el to show the current user name.  Next I created a user that I should test with. I named the password as myuser, just to keep it simple. Then I created an enterprise role and mapped the user that I just created. Then I created an application role and mapped the enterprise role to it. Then I mapped the resource, the simple jsf page in this case, to this application role. This way, only users with the given application role can only access this page (as if you didn't know this duh!).  Of course, I had to create the page definition for the page before I could map it to an application role. What else! done! Then I hit the run menu item and it all went well...   Until... I got this message. I put the correct credentials repeatedly 2-3 times. Still I got the same error. Why? I didn't get any error message during the deployment. nope.  Then, as I said before, I spent over 30 minutes trying different things out, things like mapping only the user(not the role) to the page, changing the context root etc. Nothing worked!  Then of course, I bothered to look at the logs and found this. See the first red line. That says it all. So the problem was with that password. The password must have at least one special character and one digit in it. I think I was misled by the missing password hint/rule and the fact that the deployment didn't fail even if the user was not created properly. Well, yes, I agree that I was fool enough not to look at the logs.  Later I changed the password to something like myuser123# . And it worked. I hope it helped.

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  • Run custom javascript when page loads

    - by Husain Dalal
    Ran into a neat way to load and run custom javascript when an ADF page loads:         <af:resource type="javascript">         function onLoad() {       alert("I am running ! ");           }           //Script block           if (window.addEventListener) {             window.addEventListener("load", onLoad, false)           } else if (window.attachEvent) {              window.detachEvent("onload", onLoad)              window.attachEvent("onload", onLoad)           } else {             window.onload=onLoad           }         </af:resource>  Reference: http://docs.oracle.com/cd/E23943_01/webcenter.1111/e10148/jpsdg_pagelet.htm#BABGHCBF 

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  • I have a performance problem

    - by Alan
    (copied from my wordpress blog). So start 95% of the performance calls that I receive. They usually continue something like: I have gathered some *stat data for you (eg the guds tool from Document 1285485.1), can you please root cause our problem? So, do you think you could? Neither can I, based on this my answer inevitably has to be "No". Given this kind of problem statement, I have no idea about the expectations, the boundary conditions, or even the application. The answer may as well be "Performance problems? Consult your local Doctor for Viagra". It's really not a lot to go on. So, What kind of problem description is going to allow me to start work on the issue that is being seen? I don't doubt that there really is an issue, it just needs to be pinned down somewhat. What behavior exactly are you expecting to see? Be specific and use business metrics. For example "run-time", "response-time" and "throughput". This helps us define exit criterea. Now, let's look at the system that is having problems. How is what you are seeing different? Use the same type of metrics. The answers to these two questions take us a long way towards being able to work a call. Even more helpful are answers to questions like Has this system ever worked to expectation? If so, when did it start exhibiting this behavior? Is the problem always present, or does it sometimes work to expectation? If it sometimes works to expectation, when are you seeing the problem? Is there any discernible pattern? Is the impact of the problem getting better, worse, or remaining constant? What kind of differences are there between when the system was performing to expectation and when it is not? Are there other machines where we could expect to see the same issue (eg similar usage and load), but are not? Again, differences? Once we start to gather information like this we start to build up a much clearer picture of exactly what we need to investigate, and what we need to achieve so that both you and me agree that the problem has been solved. Please help get that figure of poorly defined problem statements down from it's current 95% value.

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  • No Customer Left Behind

    - by Kathryn Perry
    A guest post by David Vap, Group Vice President, Oracle Applications Product Development What does customer experience mean to you? Is it a strategy for your executives? A new buzz word and marketing term? A bunch of CRM technology with social software added on? For me, customer experience is a customer-centric worldview that produces a deeper understanding of your business and what it takes to achieve sustainable, differentiated success. It requires you to prioritize and examine the journey your customers are on with your brand, so you can answer the question, "How can we drive greater value for our business by delivering a better customer experience?" Businesses that embrace a customer-centric worldview understand their business at a much deeper level than most. They know who their customers are, what their value is, what they do, what they say, what they want, and ultimately what that means to their business. "Why Isn't Everyone Doing It?" We're all consumers who have our own experiences with many brands. Good or bad, some of those experiences stay with us. So viscerally we understand the concept of customer experience from the stories we share. One that stands out in my mind happened as I was preparing to leave for a 12-month job assignment in Europe. I wanted to put my cable television subscription on hold. I wasn't leaving for another vendor. I wasn't upset. I just had a situation where it made sense to put my $180 per month account on pause until I returned. Unfortunately, there was no way for this cable company to acknowledge that I was a loyal customer with a logical request - and to respond accordingly. So, ultimately, they lost my business. Research shows us that it costs six to seven times more to acquire a new customer than to retain an existing one. Heavily funding the efforts of getting new customers and underfunding the efforts of serving the needs of your existing (who are your greatest advocates) is a vicious and costly cycle. "Hey, These Guys Suck!" I love my Apple iPad because it's so easy to use. The explosion of these types of technologies, combined with new media channels, has raised our expectations and made us hyperaware of what's going on and what's available. In addition, social media has given us a megaphone to share experiences both positive and negative with greater impact. We are now an always-on culture that thrives on our ability to access, connect, and share anywhere anytime. If we don't get the service, product, or value we expect, it is easy to tell many people about it. We also can quickly learn where else to get what we want. Consumers have the power of influence and choice at a global scale. The businesses that understand this principle are able to leverage that power to their advantage. The ones that don't, suffer from it. Which camp are you in?Note: This is Part 1 in a three-part series. Stop back for Part 2 on November 19.

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  • Webcast On-Demand: Building Java EE Apps That Scale

    - by jeckels
    With some awesome work by one of our architects, Randy Stafford, we recently completed a webcast on scaling Java EE apps efficiently. Did you miss it? No problem. We have a replay available on-demand for you. Just hit the '+' sign drop-down for access.Topics include: Domain object caching Service response caching Session state caching JSR-107 HotCache and more! Further, we had several interesting questions asked by our audience, and we thought we'd share a sampling of those here for you - just in case you had the same queries yourself. Enjoy! What is the largest Coherence deployment out there? We have seen deployments with over 500 JVMs in the Coherence cluster, and deployments with over 1000 JVMs using the Coherence jar file, in one system. On the management side there is an ecosystem of monitoring tools from Oracle and third parties with dashboards graphing values from Coherence's JMX instrumentation. For lifecycle management we have seen a lot of custom scripting over the years, but we've also integrated closely with WebLogic to leverage its management ecosystem for deploying Coherence-based applications and managing process life cycles. That integration introduces a new Java EE archive type, the Grid Archive or GAR, which embeds in an EAR and can be seen by a WAR in WebLogic. That integration also doesn't require any extra WebLogic licensing if Coherence is licensed. How is Coherence different from a NoSQL Database like MongoDB? Coherence can be considered a NoSQL technology. It pre-dates the NoSQL movement, having been first released in 2001 whereas the term "NoSQL" was coined in 2009. Coherence has a key-value data model primarily but can also be used for document data models. Coherence manages data in memory currently, though disk persistence is in a future release currently in beta testing. Where the data is managed yields a few differences from the most well-known NoSQL products: access latency is faster with Coherence, though well-known NoSQL databases can manage more data. Coherence also has features that well-known NoSQL database lack, such as grid computing, eventing, and data source integration. Finally Coherence has had 15 years of maturation and hardening from usage in mission-critical systems across a variety of industries, particularly financial services. Can I use Coherence for local caching? Yes, you get additional features beyond just a java.util.Map: you get expiration capabilities, size-limitation capabilities, eventing capabilites, etc. Are there APIs available for GoldenGate HotCache? It's mostly a black box. You configure it, and it just puts objects into your caches. However you can treat it as a glass box, and use Coherence event interceptors to enhance its behavior - and there are use cases for that. Are Coherence caches updated transactionally? Coherence provides several mechanisms for concurrency control. If a project insists on full-blown JTA / XA distributed transactions, Coherence caches can participate as resources. But nobody does that because it's a performance and scalability anti-pattern. At finer granularity, Coherence guarantees strict ordering of all operations (reads and writes) against a single cache key if the operations are done using Coherence's "EntryProcessor" feature. And Coherence has a unique feature called "partition-level transactions" which guarantees atomic writes of multiple cache entries (even in different caches) without requiring JTA / XA distributed transaction semantics.

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  • Recovering a VHD after resizing it using VBoxManage

    - by tjrobinson
    I am using VirtualBox 4.1.18 and had a virtual machine running Windows 8 RC with a single VHD, which was initially sized at 25GB (too small!). After installing the OS and some applications I ran out of disk space so shut down the guest and then used this command to resize the VHD to 80GB: C:\Program Files\Oracle\VirtualBox> .\VBoxManage.exe modifyhd "D:\VirtualBox VMs\Windows 8 RC\Windows 8 RC.vhd" --resize 81920 0%...10%...20%...30%...40%...50%...60%...70%...80%...90%...100% C:\Program Files\Oracle\VirtualBox> .\VBoxManage.exe showhdinfo "D:\VirtualBox VMs\Windows 8 RC\Windows 8 RC.vhd" UUID: 03fb26e7-d8bb-49b5-8cc2-1dc350750e64 Accessible: yes Logical size: 81920 MBytes Current size on disk: 24954 MBytes Type: normal (base) Storage format: VHD Format variant: dynamic default In use by VMs: Windows 8 RC (UUID: a6e6aa57-2d3a-421b-8042-7aae566e3e0b) Location: D:\VirtualBox VMs\Windows 8 RC\Windows 8 RC.vhd So far so good. However, when I started the guest up again I got the dreaded: Fatal: No bootable medium found! system halted If I boot into GParted it shows a single 80GB drive as "unallocated". The option to scan for and attempt to repair a filesystem doesn't find anything. I also tried cloning the VHD into a VDI file, just in case that magically fixed it: C:\Program Files\Oracle\VirtualBox> .\VBoxManage.exe clonehd "D:\VirtualBox VMs\Windows 8 RC\Windows 8 RC.vhd" "D:\VirtualBox VMs\Windows 8 RC\Windows 8 RC.vdi" --format VDI 0%...10%...20%...30%...40%...50%...60%...70%...80%...90%...100% Clone hard disk created in format 'VDI'. UUID: baf0c2c4-362f-4f6c-846a-37bb1ffc027b C:\Program Files\Oracle\VirtualBox> .\VBoxManage.exe showhdinfo "D:\VirtualBox VMs\Windows 8 RC\Windows 8 RC.vdi" UUID: baf0c2c4-362f-4f6c-846a-37bb1ffc027b Accessible: yes Logical size: 81920 MBytes Current size on disk: 24798 MBytes Type: normal (base) Storage format: VDI Format variant: dynamic default In use by VMs: Windows 8 RC (UUID: a6e6aa57-2d3a-421b-8042-7aae566e3e0b) Location: D:\VirtualBox VMs\Windows 8 RC\Windows 8 RC.vdi Is there anything else I could try to recover the drive? No, I don't have a backup :( My host OS is Windows 7 64-bit.

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  • Use ASP.NET 4 Browser Definitions with ASP.NET 3.5

    - by Stephen Walther
    We updated the browser definitions files included with ASP.NET 4 to include information on recent browsers and devices such as Google Chrome and the iPhone. You can use these browser definition files with earlier versions of ASP.NET such as ASP.NET 3.5. The updated browser definition files, and instructions for installing them, can be found here: http://aspnet.codeplex.com/releases/view/41420 The changes in the browser definition files can cause backwards compatibility issues when you upgrade an ASP.NET 3.5 web application to ASP.NET 4. If you encounter compatibility issues, you can install the old browser definition files in your ASP.NET 4 application. The old browser definition files are included in the download file referenced above. What’s New in the ASP.NET 4 Browser Definition Files The complete set of browsers supported by the new ASP.NET 4 browser definition files is represented by the following figure:     If you look carefully at the figure, you’ll notice that we added browser definitions for several types of recent browsers such as Internet Explorer 8, Firefox 3.5, Google Chrome, Opera 10, and Safari 4. Furthermore, notice that we now include browser definitions for several of the most popular mobile devices: BlackBerry, IPhone, IPod, and Windows Mobile (IEMobile). The mobile devices appear in the figure with a purple background color. To improve performance, we removed a whole lot of outdated browser definitions for old cell phones and mobile devices. We also cleaned up the information contained in the browser files. Here are some of the browser features that you can detect: Are you a mobile device? <%=Request.Browser.IsMobileDevice %> Are you an IPhone? <%=Request.Browser.MobileDeviceModel == "IPhone" %> What version of JavaScript do you support? <%=Request.Browser["javascriptversion"] %> What layout engine do you use? <%=Request.Browser["layoutEngine"] %>   Here’s what you would get if you displayed the value of these properties using Internet Explorer 8: Here’s what you get when you use Google Chrome: Testing Browser Settings When working with browser definition files, it is useful to have some way to test the capability information returned when you request a page with different browsers. You can use the following method to return the HttpBrowserCapabilities the corresponds to a particular user agent string and set of browser headers: public HttpBrowserCapabilities GetBrowserCapabilities(string userAgent, NameValueCollection headers) { HttpBrowserCapabilities browserCaps = new HttpBrowserCapabilities(); Hashtable hashtable = new Hashtable(180, StringComparer.OrdinalIgnoreCase); hashtable[string.Empty] = userAgent; // The actual method uses client target browserCaps.Capabilities = hashtable; var capsFactory = new System.Web.Configuration.BrowserCapabilitiesFactory(); capsFactory.ConfigureBrowserCapabilities(headers, browserCaps); capsFactory.ConfigureCustomCapabilities(headers, browserCaps); return browserCaps; } At the end of this blog entry, there is a link to download a simple Visual Studio 2008 project – named Browser Definition Test -- that uses this method to display capability information for arbitrary user agent strings. For example, if you enter the user agent string for an iPhone then you get the results in the following figure: The Browser Definition Test application enables you to submit a user-agent string and display a table of browser capabilities information. The browser definition files contain sample user-agent strings for each browser definition. I got the iPhone user-agent string from the comments in the iphone.browser file. Enumerating Browser Definitions Someone asked in the comments whether or not there is a way to enumerate all of the browser definitions. You can do this if you ware willing to use a little reflection and read a private property. The browser definition files in the config\browsers folder get parsed into a class named BrowserCapabilitesFactory. After you run the aspnet_regbrowsers tool, you can see the source for this class in the config\browser folder by opening a file named BrowserCapsFactory.cs. The BrowserCapabilitiesFactoryBase class has a protected property named BrowserElements that represents a Hashtable of all of the browser definitions. Here's how you can read this protected property and display the ID for all of the browser definitions: var propInfo = typeof(BrowserCapabilitiesFactory).GetProperty("BrowserElements", BindingFlags.NonPublic | BindingFlags.Instance); Hashtable browserDefinitions = (Hashtable)propInfo.GetValue(new BrowserCapabilitiesFactory(), null); foreach (var key in browserDefinitions.Keys) { Response.Write("" + key); } If you run this code using Visual Studio 2008 then you get the following results: You get a huge number of outdated browsers and devices. In all, 449 browser definitions are listed. If you run this code using Visual Studio 2010 then you get the following results: In the case of Visual Studio 2010, all the old browsers and devices have been removed and you get only 19 browser definitions. Conclusion The updated browser definition files included in ASP.NET 4 provide more accurate information for recent browsers and devices. If you would like to test the new browser definitions with different user-agent strings then I recommend that you download the Browser Definition Test project: Browser Definition Test Project

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  • Session Report: What’s New in JSF: A Complete Tour of JSF 2.2

    - by Janice J. Heiss
    On Wednesday, Ed Burns, Consulting Staff Member at Oracle, presented a session, CON3870 -- “What’s New in JSF: A Complete Tour of JSF 2.2,” in which he provided an update on recent developments in JavaServer Faces 2.2. He began by emphasizing that, “JavaServer Faces 2.2 continues the evolution of the Java EE standard user interface technology. Like previous releases, this iteration is very community-driven and transparent.” He pointed out that since JSF was introduced at the 2001 JavaOne Keynote, it has had a long and successful run and has found a home in applications where the UI logic resides entirely on the server where the model and UI logic is. In such cases, the browser performs fairly simple functions. However, developers can take advantage of the power of browsers, something that Project Avatar is focused on by letting developers author their applications so the UI logic is running on the client and communicating to the back end via RESTful web services. “Most importantly,” remarked Burns, “JSF 2.2 offers a really good migration path because even in the scope of one application you could have an app written with JSF that has its UI logic on the server and, on a gradual basis, you could migrate parts of the app over to use client-side technologies. This can be done at any level of granularity – per page or per collection of pages. It all depends on what you want to do.” His presentation, which focused on the basic new features of JSF 2.2, began by restating the scope of JSF and encouraged attendees to check out Roger Kitain’s session: CON5133 “Techniques for Responsive Real-Time Web UIs.” Burns explained that JSF has endured because, “We still need web apps that are maintainable, localizable, quick to build, accessible, secure, look great and are fun to use.” It is used on every continent – the curious can go here to check out where its unofficial usage is tracked. He emphasized the significance of the UI logic being substantially on the server. This: Separates Component Semantics from Rendering, Allows components to “own” their little patch of the UI -- encode/decode, And offers a well-defined lifecycle: Inversion of Control. Burns reminded attendees that JSR-344, the spec for JSF 2.2, is now on Java Community Process 2.8, a revised version of the JCP that allows for more openness and transparency. He then offered some tools for community access to JSF 2.2:    * Public java.net projects spec http://jsf-spec.java.net/ impl http://jsf.java.net/ Open Source: GPL+Classpath Exception    * Mailing Lists [email protected]                                Public readable archive, JSPA signed member read/write [email protected]                                     Public readable archive, any java.net member read/write                         All mail sent to jsr344-experts is sent to users. * Issue Tracker spec http://jsf-spec.java.net/issues/ impl http://jsf.java.net/issues/ JSF 2.2, which is JSR 344, has a Public Review Draft planned by December 2012 with no need for a Renewal Ballot. The Early Draft Review of JSR 344 was published on December 8, 2011. Interested developers are encouraged to offer their input. Six Big Ticket Features of JSF 2.2 Burns summarized the six big ticket features of JSF 2.2:* HTML5 Friendly Markup Support Pass through attributes and elements * Faces Flows* Cross Site Request Forgery Protection* Loading Facelets via ResourceHandler* File Upload Component* Multi-Templating He explained that he called it “HTML 5 friendly” because there is really nothing HTML 5 specific about it -- it could be 4. But it enables developers to use new elements that are present in HTML5 without having a JSF component library that is written to take advantage of those specifically. It gives the page author the ability to use plain HTML5 to write their page, but to still take advantage of the server-side available in JSF. He presented a demo showing JSF 2.2’s ability to leverage the expressiveness of HTML5. Burns then explained the significance of face flows, which offer function points and quantify how much work has taken place, something of great value to JSF users. He went on to talk about JSF 2.2.’s cross-site request forgery protection (CSRF) and offered details about how it protects applications against attack. Then he talked about JSF 2.2’s File Upload Component and explained that the final specification will have Ajax and non-Ajax support. The current milestone has non-Ajax support implemented. He then went on to explain its capacity to add facelets through ResourceHandler. Previously, JSF 2.0 added Facelets and ResourceHandler as disparate units; now in JSF 2.2 the two concepts are unified. Finally, he explained the concept of multi-templating in JSF 2.2 and went on to discuss more medium-level features of the release. For an easy, low maintenance way of staying in touch with JSF developments go to JSF’s Twitter page where every month or so, important updates are offered.

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  • If You Could Cut Your Meeting Times in ½ Would You?

    - by Brian Dayton
                    I know it sounds like a big promise. And what I'm thinking about may not cut a :60 minute meeting into :30 minutes, but it could make meetings and interactions up to 2X more productive. How? Social Media for the Enterprise, Not Social Media In the Enterprise Bear with me. I'm not talking about whether or not workers should or shouldn't have access to Facebook on corporate networks. That topic has been discussed @ length. I'm also not talking about the direct benefits of Social Networking tools like Presence (the ability to see someone online and ask a question in real-time), blogs, RSS feeds or external tools like Twitter. The Un-Measurable Benefits Would you do something that you believe will have a positive effect--but can't be measured? It's impossible to quantify the effectiveness of a meeting. However, what I am talking about would be more of a byproduct of all of the social networking tools above. Here's the hypothesis: As I've gotten more and more busy with work, family, travel and kids--and the same has happened to my friends and family--I'm less and less connected. But by introducing Facebook to my life I've not only made connections with longtime friends whom I haven't spoken to in years--but I've increased the pace and quality of interactions, on and offline, with close friends who I see and speak to every week. In some cases it even enhances the connections and interactions with those I see or speak to every day. The same holds true in an organization. Especially a larger one with highly matrixed organizational structures. You work with people on a project, new people come in with each different project and a disproportionate amount of time is spent getting oriented and staying current. Going back to the initial value proposition--making meetings shorter/more effective--a large amount of time is spent: -          At Project Kick-off: Meeting and understanding team member's histories, goals & roles -          Ongoing: Summarizing events since the last meeting or update email In my personal, Facebook life today I know that: -          My best friend from college - has been stranded in India for 5 days because of the volcano in Iceland and is now only 250 miles from home -          One of my co-workers started conference calls at 6:30 this morning -          My wife wasn't terribly pleased with my painting skills in our new bathroom (disclosure: she told me this face to face too) Strengthening Weak Links A recent article in CIO Magazine, Three Dangerous Social Media Misconceptions (Kristen Burnham, March 12, 2010) calls out the #1 misconception as follows: 1. "Face-to-face relationships are far more valuable than virtual ones." While some level of physical interaction will always add value to relationships, Gartner says that come 2020, most relationships and teams will be based on "weak links"--that is, you may not have personally met a contact, but you'll know of or may have interacted with him via social sites like Facebook, LinkedIn and Twitter. The sooner your enterprise adopts these tools, the sooner your employees will learn them, and the sooner you'll begin to cultivate these relationships-of-the-future.   I personally believe that it's not an either/or choice between face-to-face and virtual interactions. In fact, I'll be as bold as saying it doesn't matter. I can point to two extremely valuable work relationships that I've had over the past 5 years: -          I shared an office with one of them -          I met the other person, face-to-face, only once Both relationships were very productive. The dynamics were similar. The communication tactics differed immensely. What does matter is the quality, frequency and relevance of interactions. Still sound like too much? An over-promise? Stay tuned for my next post The Gap Between Facebook and LinkedIn. I'll also connect some of the dots with where Oracle Applications and technologies are headed.        

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  • WebLogic Server Performance and Tuning: Part I - Tuning JVM

    - by Gokhan Gungor
    Each WebLogic Server instance runs in its own dedicated Java Virtual Machine (JVM) which is their runtime environment. Every Admin Server in any domain executes within a JVM. The same also applies for Managed Servers. WebLogic Server can be used for a wide variety of applications and services which uses the same runtime environment and resources. Oracle WebLogic ships with 2 different JVM, HotSpot and JRocket but you can choose which JVM you want to use. JVM is designed to optimize itself however it also provides some startup options to make small changes. There are default values for its memory and garbage collection. In real world, you will not want to stick with the default values provided by the JVM rather want to customize these values based on your applications which can produce large gains in performance by making small changes with the JVM parameters. We can tell the garbage collector how to delete garbage and we can also tell JVM how much space to allocate for each generation (of java Objects) or for heap. Remember during the garbage collection no other process is executed within the JVM or runtime, which is called STOP THE WORLD which can affect the overall throughput. Each JVM has its own memory segment called Heap Memory which is the storage for java Objects. These objects can be grouped based on their age like young generation (recently created objects) or old generation (surviving objects that have lived to some extent), etc. A java object is considered garbage when it can no longer be reached from anywhere in the running program. Each generation has its own memory segment within the heap. When this segment gets full, garbage collector deletes all the objects that are marked as garbage to create space. When the old generation space gets full, the JVM performs a major collection to remove the unused objects and reclaim their space. A major garbage collect takes a significant amount of time and can affect system performance. When we create a managed server either on the same machine or on remote machine it gets its initial startup parameters from $DOMAIN_HOME/bin/setDomainEnv.sh/cmd file. By default two parameters are set:     Xms: The initial heapsize     Xmx: The max heapsize Try to set equal initial and max heapsize. The startup time can be a little longer but for long running applications it will provide a better performance. When we set -Xms512m -Xmx1024m, the physical heap size will be 512m. This means that there are pages of memory (in the state of the 512m) that the JVM does not explicitly control. It will be controlled by OS which could be reserve for the other tasks. In this case, it is an advantage if the JVM claims the entire memory at once and try not to spend time to extend when more memory is needed. Also you can use -XX:MaxPermSize (Maximum size of the permanent generation) option for Sun JVM. You should adjust the size accordingly if your application dynamically load and unload a lot of classes in order to optimize the performance. You can set the JVM options/heap size from the following places:     Through the Admin console, in the Server start tab     In the startManagedWeblogic script for the managed servers     $DOMAIN_HOME/bin/startManagedWebLogic.sh/cmd     JAVA_OPTIONS="-Xms1024m -Xmx1024m" ${JAVA_OPTIONS}     In the setDomainEnv script for the managed servers and admin server (domain wide)     USER_MEM_ARGS="-Xms1024m -Xmx1024m" When there is free memory available in the heap but it is too fragmented and not contiguously located to store the object or when there is actually insufficient memory we can get java.lang.OutOfMemoryError. We should create Thread Dump and analyze if that is possible in case of such error. The second option we can use to produce higher throughput is to garbage collection. We can roughly divide GC algorithms into 2 categories: parallel and concurrent. Parallel GC stops the execution of all the application and performs the full GC, this generally provides better throughput but also high latency using all the CPU resources during GC. Concurrent GC on the other hand, produces low latency but also low throughput since it performs GC while application executes. The JRockit JVM provides some useful command-line parameters that to control of its GC scheme like -XgcPrio command-line parameter which takes the following options; XgcPrio:pausetime (To minimize latency, parallel GC) XgcPrio:throughput (To minimize throughput, concurrent GC ) XgcPrio:deterministic (To guarantee maximum pause time, for real time systems) Sun JVM has similar parameters (like  -XX:UseParallelGC or -XX:+UseConcMarkSweepGC) to control its GC scheme. We can add -verbosegc -XX:+PrintGCDetails to monitor indications of a problem with garbage collection. Try configuring JVM’s of all managed servers to execute in -server mode to ensure that it is optimized for a server-side production environment.

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  • Book Review Charlene Li's New Book: Open Leadership

    - by david.talamelli
    A few weeks ago, I was surprised when I looked in our mail box. I had received an Advance Copy of Charlene Li's new book titled "Open Leadership: How Social Technology Can Transform the Way You Lead". Charlene sent a tweet a while back asking anyone interested in receiving the book to submit their details. I sent off my details and didn't think I would hear anything back, so it was a pleasant surprise. With that I almost feel bad that it has taken me 3 weeks to read her book. It took this long mainly because it has been hard to fit in some quality reading time for myself with work, the kids, volunteering, etc..... I am happy to report I have finished her book and wanted to run through my initial thoughts with you. I first came across Charlene Li after reading her book "Groundswell" a few years ago, her latest book "Open Leadership" is a follow on from Groundswell and to me it seems like a natural progression from the question "Ok the business landscape is changing, what do we do now?" For me these two books have a different writing style to them. Groundswell from memory spoke about broad social media concepts and adoption and alerted us to some of the changes taking place in the SM landscape. Open Leadership seems to be focussed on taking those broad concepts and finding ways to implement them into your environment. That is breaking broad concepts down into individual action items that can be measured and analysed. As the business world changes Leaders must change their approach and let go of control to more control. One of the things I love reading about is seeing real life examples of how people and organisations are making these things happen. In this book Charlene has collected some great collateral and case studies from companies such as Cisco, Best Buy, The Red Cross and The State Bank of India (as a side-note, I wish now that I submitted my input for the Leaders I work with here at Oracle - there are some great examples here of people who empower their staff). As society becomes more adept at using social media it is inevitable that Leaders must become open with their employees, clients and partners. From the book some of the key points I took away are (I actually took away a lot more from this book, this is just an overview) : 1) Organisations should encourage risk taking. Without being a "hacker", how can we improve ourselves, our processes, our business, etc... The old saying you only fail by not trying applies here. If Leaders create a culture where people are afraid to stick their neck out - how will you innovate? 2) Leaders need to lead by example - if you want to promote an open and transparent business, a Leader needs to exemplify the traits they would like to see out of their employees. 3) The definition of a Leader is changing, open leadership is about being a catalyst to change that uses networks to spread a vision as opposed to traditional leadership that is viewed as a role. 4) There is a cultural and business shift taking place. Information is more wide-spread and is being disseminated faster than any other time in the past. Leaders who are open and transparent will thrive in this new business environment. 5) Leadership is not defined by a title - it is defined by a person's actions. Also anyone can be a Leader or has Leadership potential in them- it is a matter of drawing that out of people. I found this book useful and I also found myself looking at my own actions and the actions of others around me (including my management) to see how open and transparent I am in my work. For me I am glad I read this book as it validated my own thoughts of the changes we are seeing take place. This book has certainly given me some new ideas and helped me push my own boundaries of what I can do. The book has a number of action plans at the end of some of the chapters such as "Conducting you Openness Audit" that I think have helped me take thoughts and ideas and turn them into concrete action items. I have included a link to the introduction of the book here if anyone wants to have a read of it. If anyone else has read this book, it would be great to hear your thoughts/comments/review. Leave your comments below. This article was originally posted on David Talamelli's Blog - David's Journal on Tap

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  • SQL SERVER – Beginning of SQL Server Architecture – Terminology – Guest Post

    - by pinaldave
    SQL Server Architecture is a very deep subject. Covering it in a single post is an almost impossible task. However, this subject is very popular topic among beginners and advanced users.  I have requested my friend Anil Kumar who is expert in SQL Domain to help me write  a simple post about Beginning SQL Server Architecture. As stated earlier this subject is very deep subject and in this first article series he has covered basic terminologies. In future article he will explore the subject further down. Anil Kumar Yadav is Trainer, SQL Domain, Koenig Solutions. Koenig is a premier IT training firm that provides several IT certifications, such as Oracle 11g, Server+, RHCA, SQL Server Training, Prince2 Foundation etc. In this Article we will discuss about MS SQL Server architecture. The major components of SQL Server are: Relational Engine Storage Engine SQL OS Now we will discuss and understand each one of them. 1) Relational Engine: Also called as the query processor, Relational Engine includes the components of SQL Server that determine what your query exactly needs to do and the best way to do it. It manages the execution of queries as it requests data from the storage engine and processes the results returned. Different Tasks of Relational Engine: Query Processing Memory Management Thread and Task Management Buffer Management Distributed Query Processing 2) Storage Engine: Storage Engine is responsible for storage and retrieval of the data on to the storage system (Disk, SAN etc.). to understand more, let’s focus on the following diagram. When we talk about any database in SQL server, there are 2 types of files that are created at the disk level – Data file and Log file. Data file physically stores the data in data pages. Log files that are also known as write ahead logs, are used for storing transactions performed on the database. Let’s understand data file and log file in more details: Data File: Data File stores data in the form of Data Page (8KB) and these data pages are logically organized in extents. Extents: Extents are logical units in the database. They are a combination of 8 data pages i.e. 64 KB forms an extent. Extents can be of two types, Mixed and Uniform. Mixed extents hold different types of pages like index, System, Object data etc. On the other hand, Uniform extents are dedicated to only one type. Pages: As we should know what type of data pages can be stored in SQL Server, below mentioned are some of them: Data Page: It holds the data entered by the user but not the data which is of type text, ntext, nvarchar(max), varchar(max), varbinary(max), image and xml data. Index: It stores the index entries. Text/Image: It stores LOB ( Large Object data) like text, ntext, varchar(max), nvarchar(max),  varbinary(max), image and xml data. GAM & SGAM (Global Allocation Map & Shared Global Allocation Map): They are used for saving information related to the allocation of extents. PFS (Page Free Space): Information related to page allocation and unused space available on pages. IAM (Index Allocation Map): Information pertaining to extents that are used by a table or index per allocation unit. BCM (Bulk Changed Map): Keeps information about the extents changed in a Bulk Operation. DCM (Differential Change Map): This is the information of extents that have modified since the last BACKUP DATABASE statement as per allocation unit. Log File: It also known as write ahead log. It stores modification to the database (DML and DDL). Sufficient information is logged to be able to: Roll back transactions if requested Recover the database in case of failure Write Ahead Logging is used to create log entries Transaction logs are written in chronological order in a circular way Truncation policy for logs is based on the recovery model SQL OS: This lies between the host machine (Windows OS) and SQL Server. All the activities performed on database engine are taken care of by SQL OS. It is a highly configurable operating system with powerful API (application programming interface), enabling automatic locality and advanced parallelism. SQL OS provides various operating system services, such as memory management deals with buffer pool, log buffer and deadlock detection using the blocking and locking structure. Other services include exception handling, hosting for external components like Common Language Runtime, CLR etc. I guess this brief article gives you an idea about the various terminologies used related to SQL Server Architecture. In future articles we will explore them further. Guest Author  The author of the article is Anil Kumar Yadav is Trainer, SQL Domain, Koenig Solutions. Koenig is a premier IT training firm that provides several IT certifications, such as Oracle 11g, Server+, RHCA, SQL Server Training, Prince2 Foundation etc. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Security, SQL Server, SQL Tips and Tricks, SQL Training, T SQL, Technology

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  • Dynamic Grouping and Columns

    - by Tim Dexter
    Some good collaboration between myself and Kan Nishida (Oracle BIP Consulting) over at bipconsulting on a question that came in yesterday to an internal mailing list. Is there a way to allow columns to be place into a template dynamically? This would be similar to the Answers Column selector. A customer has said Crystal can do this and I am trying to see how BI Pub can do the same. Example: Report has Regions as a dimension in a table, they want the user to select a parameter that will insert either Units or Dollars without having to create multiple templates. Now whether Crystal can actually do it or not is another question, can Publisher? Yes we can! Kan took the first stab. His approach, was to allow to swap out columns in a table in the report. Some quick steps: 1. Create a parameter from BIP server UI 2. Declare the parameter in RTF template You can check this post to see how you can declare the parameter from the server. http://bipconsulting.blogspot.com/2010/02/how-to-pass-user-input-values-to-report.html 3. Use the parameter value to condition if a particular column needs to be displayed or not. You can use <?if@column:.....?> syntax for Column level IF condition. The if@column is covered in user documentation. This would allow a developer to create a report with the parameter or multiple parameters to allow the user to pick a column to be included in the report. I took a slightly different tack, with the mention of the column selector in the Answers report I took that to mean that the user wanted to select more of a dimensional column and then have the report recalculate all its totals and subtotals based on that selected column. This is a little bit more involved and involves some smart XSL and XPATH expressions, but still very doable. The user can select a column as a parameter, that is passed to the template rather than the query. The parameter value that is actually passed is the element name that you want to regroup the data by. Inside the template we then reference that parameter value in our for-each-group loop. That's where we need the trixy XSL/XPATH code to get the regrouping to happen. At this juncture, I need to hat tip to Klaus, for his article on dynamic sorting that he wrote back in 2006. I basically took his sorting code and applied it to the for-each loop. You can follow both of Kan's first two steps above i.e. Create a parameter from BIP server UI - this just needs to be based on a 'list' type list of value with name/value pairs e.g. Department/DEPARTMENT_NAME, Job/JOB_TITLE, etc. The user picks the 'friendly' value and the server passes the element name to the template. Declare the parameter in RTF template - been here before lots of times right? <?param@begin:group1;'"DEPARTMENT_NAME"'?> I have used a default value so that I can test the funtionality inside the template builder (notice the single and double quotes.) Next step is to use the template builder to build a re-grouped report layout. It does not matter if its hard coded right now; we will add in the dynamic piece next. Once you have a functioning template that is re-grouping correctly. Open up the for-each-group field and modify it to use the parameter: <?for-each-group:ROW;./*[name(.) = $group1]?> 'group1' is my grouping parameter, declared above. We need the XPATH expression to find the column in the XML structure we want to group that matches the one passed by the parameter. Its essentially looking through the data tree for a match. We can show the actual grouping value in the report output with a similar XPATH expression <?./*[name(.) = $group1]?> In my example, I took things a little further so that I could have a dynamic label for the parameter value. For instance if I am using MANAGER as the parameter I want to show: Manager: Tim Dexter My XML elements are readable e.g. DEPARTMENT_NAME. Its a simple case of replacing the underscore with a space and then 'initcapping' the result: <?xdoxslt:init_cap(translate($group1,'_',' '))?> With this in place, the user can now select a grouping column in the BIP report viewer and the layout will re-group the data and any calculations based on that column. I built a group above report but you could equally build the group left version to truly mimic the Answers column selector. If you are interested you can get an example report, sample data and layout template here. Of course, you can combine Klaus' dynamic sorting, Kan's conditional column approach and this dynamic grouping to build a real kick ass report for users that will keep them happy for hours..

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