Search Results

Search found 14875 results on 595 pages for 'resource controller'.

Page 209/595 | < Previous Page | 205 206 207 208 209 210 211 212 213 214 215 216  | Next Page >

• Sprite sheet generator

  - by Andrea Tucci

  I need to generate a sprite sheet with squared sprite for a 2D game. How can I generate a sprite sheet where each frame has x = y? The only think I have to do is to "insert" some blank space between sprites (in case y were x in the original sprite). Is there any program that I can use to trasform "irregular" sprite sheets to "squared" sprite sheets? An example of non-squared sprite sheet: http://spriters-resource.com/gameboy_advance/khcom/sheet/1138

  Read the article

• A list of game mechanics

  - by Iain

  I'm trying to compile a list of game mechanics, by which I mean high-level/meta game mechanics like Cooperation, Resource Management, Chance and Time Manipulation rather than low level mechanics like running, jumping climbing ladders, etc Does any one have any suggestions or can point me to good existing lists? My WIP list is already proving to be quite useful to me in the way I think about games.

  Read the article

• Fusion Applications Enablement Toolkit: the Partner's single place of information for all OPN Fusion Apps resources

  - by Richard Lefebvre

  Take a look and then come back regularly at https://blogs.oracle.com/opnenablement/resource/fusion_applications.html ... a micro site designed to give our EMEA Fusion Partners all the Fusion enablement critical information (Key links, event, materials, etc.) that they need to achieve specialization. This site will be updated on a regular basis, especially for OPN events and training sessions.

  Read the article

• Visual Studio Editor Mistakenly released Visual Studio 2013 on Twitter.

  - by Anirudha

  Originally posted on: http://geekswithblogs.net/anirugu/archive/2013/10/17/visual-studio-editor-mistakenly-released-visual-studio-2013-on-twitter.aspxFrom the first tweet shown in the image it’s look like Microsoft have released Visual Studio 2013. The link is certainly not worked.  The given link show that post not found Not Found: Resource Not Found The Account who posted this can be found here https://twitter.com/VSEditor   Update:- Here is all confusion clear http://blogs.msdn.com/b/visualstudio/archive/2013/10/17/visual-studio-2013-released-to-web.aspx

  Read the article

• Service Broker Solutions - Don't Forget the Basics

  - by AllenMWhite

  After finally getting a Service Broker solution implemented successfully, I'm really impressed with the technology, and frustrated how difficult it can be to implement and get it really working as expected. First, understand the technology. There are some great resources out there to help you get started. The first place to go is Klaus Aschenbrenner's book, the one that Greg Low reviewed this past week. It's an amazing resource and played a large part in my success. (I bought it for my Kindle, and...(read more)

  Read the article

• SBUG Session: The Enterprise Cache

  - by EltonStoneman

  [Source: http://geekswithblogs.net/EltonStoneman] I did a session on "The Enterprise Cache" at the UK SOA/BPM User Group yesterday which generated some useful discussion. The proposal was for a dedicated caching layer which all app servers and service providers can hook into, sharing resources and common data. The architecture might end up like this: I'll update this post with a link to the slide deck once it's available. The next session will have Udi Dahan walking through nServiceBus, register on EventBrite if you want to come along. Synopsis Looked at the benefits and drawbacks of app-centric isolated caches, compared to an enterprise-wide shared cache running on dedicated nodes; Suggested issues and risks around caching including staleness of data, resource usage, performance and testing; Walked through a generic service cache implemented as a WCF behaviour – suitable for IIS- or BizTalk-hosted services - which I'll be releasing on CodePlex shortly; Listed common options for cache providers and their offerings. Discussion Cache usage. Different value propositions for utilising the cache: improved performance, isolation from underlying systems (e.g. service output caching can have a TTL large enough to cover downtime), reduced resource impact – CPU, memory, SQL and cost (e.g. caching results of paid-for services). Dedicated cache nodes. Preferred over in-host caching provided latency is acceptable. Depending on cache provider, can offer easy scalability and global replication so cache clients always use local nodes. Restriction of AppFabric Caching to Windows Server 2008 not viewed as a concern. Security. Limited security model in most cache providers. Options for securing cache content suggested as custom implementations. Obfuscating keys and serialized values may mean additional security is not needed. Depending on security requirements and architecture, can ensure cache servers only accessible to cache clients via IPsec. Staleness. Generally thought to be an overrated problem. Thinking in line with eventual consistency, that serving up stale data may not be a significant issue. Good technical arguments support this, although I suspect business users will be harder to persuade. Providers. Positive feedback for AppFabric Caching – speed, configurability and richness of the distributed model making it a good enterprise choice. .NET port of memcached well thought of for performance but lack of replication makes it less suitable for these shared scenarios. Replicated fork – repcached – untried and less active than memcached. NCache also well thought of, but Express version too limited for enterprise scenarios, and commercial versions look costly compared to AppFabric.

  Read the article

• Thread placement policies on NUMA systems - update

  - by Dave

  In a prior blog entry I noted that Solaris used a "maximum dispersal" placement policy to assign nascent threads to their initial processors. The general idea is that threads should be placed as far away from each other as possible in the resource topology in order to reduce resource contention between concurrently running threads. This policy assumes that resource contention -- pipelines, memory channel contention, destructive interference in the shared caches, etc -- will likely outweigh (a) any potential communication benefits we might achieve by packing our threads more densely onto a subset of the NUMA nodes, and (b) benefits of NUMA affinity between memory allocated by one thread and accessed by other threads. We want our threads spread widely over the system and not packed together. Conceptually, when placing a new thread, the kernel picks the least loaded node NUMA node (the node with lowest aggregate load average), and then the least loaded core on that node, etc. Furthermore, the kernel places threads onto resources -- sockets, cores, pipelines, etc -- without regard to the thread's process membership. That is, initial placement is process-agnostic. Keep reading, though. This description is incorrect. On Solaris 10 on a SPARC T5440 with 4 x T2+ NUMA nodes, if the system is otherwise unloaded and we launch a process that creates 20 compute-bound concurrent threads, then typically we'll see a perfect balance with 5 threads on each node. We see similar behavior on an 8-node x86 x4800 system, where each node has 8 cores and each core is 2-way hyperthreaded. So far so good; this behavior seems in agreement with the policy I described in the 1st paragraph. I recently tried the same experiment on a 4-node T4-4 running Solaris 11. Both the T5440 and T4-4 are 4-node systems that expose 256 logical thread contexts. To my surprise, all 20 threads were placed onto just one NUMA node while the other 3 nodes remained completely idle. I checked the usual suspects such as processor sets inadvertently left around by colleagues, processors left offline, and power management policies, but the system was configured normally. I then launched multiple concurrent instances of the process, and, interestingly, all the threads from the 1st process landed on one node, all the threads from the 2nd process landed on another node, and so on. This happened even if I interleaved thread creating between the processes, so I was relatively sure the effect didn't related to thread creation time, but rather that placement was a function of process membership. I this point I consulted the Solaris sources and talked with folks in the Solaris group. The new Solaris 11 behavior is intentional. The kernel is no longer using a simple maximum dispersal policy, and thread placement is process membership-aware. Now, even if other nodes are completely unloaded, the kernel will still try to pack new threads onto the home lgroup (socket) of the primordial thread until the load average of that node reaches 50%, after which it will pick the next least loaded node as the process's new favorite node for placement. On the T4-4 we have 64 logical thread contexts (strands) per socket (lgroup), so if we launch 48 concurrent threads we will find 32 placed on one node and 16 on some other node. If we launch 64 threads we'll find 32 and 32. That means we can end up with our threads clustered on a small subset of the nodes in a way that's quite different that what we've seen on Solaris 10. So we have a policy that allows process-aware packing but reverts to spreading threads onto other nodes if a node becomes too saturated. It turns out this policy was enabled in Solaris 10, but certain bugs suppressed the mixed packing/spreading behavior. There are configuration variables in /etc/system that allow us to dial the affinity between nascent threads and their primordial thread up and down: see lgrp_expand_proc_thresh, specifically. In the OpenSolaris source code the key routine is mpo_update_tunables(). This method reads the /etc/system variables and sets up some global variables that will subsequently be used by the dispatcher, which calls lgrp_choose() in lgrp.c to place nascent threads. Lgrp_expand_proc_thresh controls how loaded an lgroup must be before we'll consider homing a process's threads to another lgroup. Tune this value lower to have it spread your process's threads out more. To recap, the 'new' policy is as follows. Threads from the same process are packed onto a subset of the strands of a socket (50% for T-series). Once that socket reaches the 50% threshold the kernel then picks another preferred socket for that process. Threads from unrelated processes are spread across sockets. More precisely, different processes may have different preferred sockets (lgroups). Beware that I've simplified and elided details for the purposes of explication. The truth is in the code. Remarks: It's worth noting that initial thread placement is just that. If there's a gross imbalance between the load on different nodes then the kernel will migrate threads to achieve a better and more even distribution over the set of available nodes. Once a thread runs and gains some affinity for a node, however, it becomes "stickier" under the assumption that the thread has residual cache residency on that node, and that memory allocated by that thread resides on that node given the default "first-touch" page-level NUMA allocation policy. Exactly how the various policies interact and which have precedence under what circumstances could the topic of a future blog entry. The scheduler is work-conserving. The x4800 mentioned above is an interesting system. Each of the 8 sockets houses an Intel 7500-series processor. Each processor has 3 coherent QPI links and the system is arranged as a glueless 8-socket twisted ladder "mobius" topology. Nodes are either 1 or 2 hops distant over the QPI links. As an aside the mapping of logical CPUIDs to physical resources is rather interesting on Solaris/x4800. On SPARC/Solaris the CPUID layout is strictly geographic, with the highest order bits identifying the socket, the next lower bits identifying the core within that socket, following by the pipeline (if present) and finally the logical thread context ("strand") on the core. But on Solaris on the x4800 the CPUID layout is as follows. [6:6] identifies the hyperthread on a core; bits [5:3] identify the socket, or package in Intel terminology; bits [2:0] identify the core within a socket. Such low-level details should be of interest only if you're binding threads -- a bad idea, the kernel typically handles placement best -- or if you're writing NUMA-aware code that's aware of the ambient placement and makes decisions accordingly. Solaris introduced the so-called critical-threads mechanism, which is expressed by putting a thread into the FX scheduling class at priority 60. The critical-threads mechanism applies to placement on cores, not on sockets, however. That is, it's an intra-socket policy, not an inter-socket policy. Solaris 11 introduces the Power Aware Dispatcher (PAD) which packs threads instead of spreading them out in an attempt to be able to keep sockets or cores at lower power levels. Maximum dispersal may be good for performance but is anathema to power management. PAD is off by default, but power management polices constitute yet another confounding factor with respect to scheduling and dispatching. If your threads communicate heavily -- one thread reads cache lines last written by some other thread -- then the new dense packing policy may improve performance by reducing traffic on the coherent interconnect. On the other hand if your threads in your process communicate rarely, then it's possible the new packing policy might result on contention on shared computing resources. Unfortunately there's no simple litmus test that says whether packing or spreading is optimal in a given situation. The answer varies by system load, application, number of threads, and platform hardware characteristics. Currently we don't have the necessary tools and sensoria to decide at runtime, so we're reduced to an empirical approach where we run trials and try to decide on a placement policy. The situation is quite frustrating. Relatedly, it's often hard to determine just the right level of concurrency to optimize throughput. (Understanding constructive vs destructive interference in the shared caches would be a good start. We could augment the lines with a small tag field indicating which strand last installed or accessed a line. Given that, we could augment the CPU with performance counters for misses where a thread evicts a line it installed vs misses where a thread displaces a line installed by some other thread.)

  Read the article

• Tab Sweep: CDI Tutorial, Vertical Clustering, Monitoring, Vorpal, SPARC T4, ...

  - by arungupta

  Recent Tips and News on Java, Java EE 6, GlassFish & more : • Tutorial - Introduction to CDI - Contexts and Dependency Injection for Java EE (JSR 299) (Mark Struberg, Peter Muir) • Clustering with Glassfish 3.1 (Javing) • Two Way Communication in JMS (Lukasz Budnik) • Glassfish – Vertical clustering with multiple domains (Alexandru Ersenie) • Setting up Glassfish Monitoring – handling connection problems (Jacek Milewski) • Screencast: Developing Discoverable XMPP Components with Vorpal (Chuk Munn Lee) • Java EE Application Servers, SPARC T4, Solaris Containers, and Resource Pools (Jeff Taylor)

  Read the article

• Loading SpriteFont through a different class than Game.cs

  - by MintyAnt

  I am trying to load up a single SpriteFont to print some debug information. In our current game, we load up both Textures and Music through a ResourceManager. They are both loaded with a filestream, and thus do not require Content.Load SoundEffect soundEffect = SoundEffect.FromStream( fs ); Since this ResourceManager does not inherit from Game or is like Game.cs, I cannot use the usual method: SpriteFont spriteFont = Content.Load<SpriteFont>(resource.Key.Item2); Anyone have any idea how I can either: -Load the SpriteFont a different way -Create my own Contentmanager

  Read the article

• MSDN Search Help

  - by George Evjen

  Looks like MSDN has made a change to their search. If you navigate to http://msdn.microsoft.com You will see their search on the top of the page. If you put in a search term, Silverlight DataBinding You will see results that are pulled from the forums of msdn, stackover flow and a few other places. You will also be able to see the number of replies to the thread and the threads that have been answered. Great resource..

  Read the article

• Keep website and webservices warm with zero coding

  - by oazabir

  If you want to keep your websites or webservices warm and save user from seeing the long warm up time after an application pool recycle, or IIS restart or new code deployment or even windows restart, you can use the tinyget command line tool, that comes with IIS Resource Kit, to hit the site and services and keep them warm. Here’s how: First get tinyget from here. Download and install the IIS 6.0 Resource Kit on some PC. Then copy the tinyget.exe from “c:\program files…\IIS 6.0 ResourceKit\Tools'\tinyget” to the server where your IIS 6.0 or IIS 7 is running. Then create a batch file that will hit the pages and webservices. Something like this: SET TINYGET=C:\Program Files (x86)\IIS Resources\TinyGet\tinyget.exe"%TINYGET%" -srv:dropthings.omaralzabir.com -uri:http://dropthings.omaralzabir.com/ -status:200"%TINYGET%" -srv:dropthings.omaralzabir.com -uri:http://dropthings.omaralzabir.com/WidgetService.asmx?WSDL - status:200 First I am hitting the homepage to keep the webpage warm. Then I am hitting the webservice URL with ?WSDL parameter, which allows ASP.NET to compile the service if not already compiled and walk through all the operations and reflect on them and thus loading all related DLLs into memory and reducing the warmup time when hit. Tinyget gets the servers name or IP in the –srv parameter and then the actual URI in the –uri. I have specified what’s the HTTP response code to expect in –status parameter. It ensures the site is alive and is returning http 200 code. Besides just warming up a site, you can do some load test on the site. Tinyget can run in multiple threads and run loops to hit some URL. You can literally blow up a site with commands like this: "%TINYGET%" -threads:30 -loop:100 -srv:google.com -uri:http://www.google.com/ -status:200 Tinyget is also pretty useful to run automated tests. You can record http posts in a text file and then use it to make http posts to some page. Then you can put matching clause to check for certain string in the output to ensure the correct response is given. Thus with some simple command line commands, you can warm up, do some transactions, validate the site is giving off correct response as well as run a load test to ensure the server performing well. Very cheap way to get a lot done.

  Read the article

• Grad school guides for professional programmers

  - by Peter Turner

  I've exhausted my googling abilities on this search (too many ad-sites peddling online degrees) and turned to my favorite resource, ya'll. I'm looking for a website, book or long winded answer that breaks down graduate programs at universities and colleges by their geographical area / online capability; relative cost; prestige; difficulty; applicability to software engineering, computer science or a project management MBA; and years to complete.

  Read the article

• 466 ADF sample applications and growing - ADF EMG Kaleidoscope announcement

  - by Chris Muir

  Interested in finding more ADF sample applications?  How does 466 applications take your fancy? Today at ODTUG's Kaleidoscope conference in San Antonio the ADF EMG announced the launch of a new ADF Samples website, an index of 466 ADF applications gathered from expert ADF bloggers including customers and Oracle staff. For more details on this great ADF community resource head over to the ADF EMG announcement.

  Read the article

• Installation Error, "Unable to lock the administration directory"

  - by kern

  Whenever I try to install any software through Terminal or Software on my Ubuntu 11.04, I'm getting this response: In Terminal: E: Could not get lock /var/lib/dpkg/lock - open (11: Resource temporarily unavailable) E: Unable to lock the administration directory (/var/lib/dpkg/), is another process using it? In Software Center An unhandlable error occured There seems to be a programming error in aptdaemon, the software that allows you to install/remove software and to perform other package management related tasks. What should I do?

  Read the article

• Adding nodes to MAAS server

  - by Yasith Tharindu

  I was able to install MAAS server using ubuntu 12.04. Then boot up nodes from he PXE. Then installed maas-precise-x86-64-commissioning through pxe. Now the installation is done. but im unable to commission with the MAAS server. It does not show it as a node and neither im unable to add it manually and end up with following error. Also what is the default username password for maas-precise-x86-64-commissioning. Im unable to login. This error when adding node manually. ERROR 2012-11-20 08:32:54,500 maas.maasserver ################################ Exception: timed out ################################ ERROR 2012-11-20 08:32:54,501 maas.maasserver Traceback (most recent call last): File "/usr/lib/python2.7/dist-packages/django/core/handlers/base.py", line 111, in get_response response = callback(request, *callback_args, **callback_kwargs) File "/usr/lib/python2.7/dist-packages/django/views/decorators/vary.py", line 22, in inner_func response = func(*args, **kwargs) File "/usr/lib/python2.7/dist-packages/piston/resource.py", line 166, in call result = self.error_handler(e, request, meth, em_format) File "/usr/lib/python2.7/dist-packages/piston/resource.py", line 164, in call result = meth(request, *args, **kwargs) File "/usr/lib/python2.7/dist-packages/maasserver/api.py", line 251, in dispatcher self, request, request.method, *args, **kwargs) File "/usr/lib/python2.7/dist-packages/maasserver/api.py", line 193, in perform_api_operation return method(handler, request, *args, **kwargs) File "/usr/lib/python2.7/dist-packages/maasserver/api.py", line 493, in new node = create_node(request) File "/usr/lib/python2.7/dist-packages/maasserver/api.py", line 418, in create_node return form.save() File "/usr/lib/python2.7/dist-packages/maasserver/forms.py", line 234, in save node = super(NodeWithMACAddressesForm, self).save() File "/usr/lib/python2.7/dist-packages/django/forms/models.py", line 363, in save fail_message, commit, construct=False) File "/usr/lib/python2.7/dist-packages/django/forms/models.py", line 85, in save_instance instance.save() File "/usr/lib/python2.7/dist-packages/maasserver/models.py", line 114, in save return super(CommonInfo, self).save(*args, **kwargs) File "/usr/lib/python2.7/dist-packages/django/db/models/base.py", line 460, in save self.save_base(using=using, force_insert=force_insert, force_update=force_update) File "/usr/lib/python2.7/dist-packages/django/db/models/base.py", line 570, in save_base created=(not record_exists), raw=raw, using=using) File "/usr/lib/python2.7/dist-packages/django/dispatch/dispatcher.py", line 172, in send response = receiver(signal=self, sender=sender, **named) File "/usr/lib/python2.7/dist-packages/maasserver/provisioning.py", line 485, in provision_post_save_Node profile, power_type, preseed_data) File "/usr/lib/python2.7/dist-packages/maasserver/provisioning.py", line 245, in call result = self.method(*args) 259,1 93% result = self.method(*args) File "/usr/lib/python2.7/xmlrpclib.py", line 1224, in call return self._send(self._name, args) File "/usr/lib/python2.7/xmlrpclib.py", line 1578, in _request verbose=self._verbose File "/usr/lib/python2.7/xmlrpclib.py", line 1264, in request return self.single_request(host, handler, request_body, verbose) File "/usr/lib/python2.7/xmlrpclib.py", line 1294, in single_request response = h.getresponse(buffering=True) File "/usr/lib/python2.7/httplib.py", line 1030, in getresponse response.begin() File "/usr/lib/python2.7/httplib.py", line 407, in begin version, status, reason = self._read_status() File "/usr/lib/python2.7/httplib.py", line 365, in _read_status line = self.fp.readline() File "/usr/lib/python2.7/socket.py", line 447, in readline data = self._sock.recv(self._rbufsize) timeout: timed out

  Read the article

• How to Create a Realistic Timeline for your Projects

  - by Aditi

  Developing a Realistic project time line is a biggest and most challenging task of any team. We here at JustSkins, have learned over time that developing and adhering to a timeline isn’t easy but is not impossible. Keeping in consideration from any technical glitches to a human resource issue, unexpected complications can come up at any time during the entire project life cycle, How ever there are many things you can do in order to save the project from going off-track there. A specific timeline is very important statistic for time management planning and keeping your client informed of the progress. Have a rigid time tracking assures the client, that you are committed to achieving specific project milestones in time. The more you work on varied IT projects, the more you know about the aspects of project and you get to better develop future estimates and timelines. Make a Structure When estimating the time required to accomplish each task, consider which all team members will be involved, also assign the amount of time each individual must put in to the project. Define Scope & dependability and set deadlines for accomplishing them. Sometimes Working in Phases or modules help in doing more in lesser time. One must use a Project management tool in order to systematize the collaboration between the team members. Realistic Goal Setting One approach is to keep a bandwidth of few days to deal with delay, errors & incorrect coding issues you are likely to have in the course. It is very realistic to keep delivery date to client different then internal delivery timeline. If your resource is having hard time finishing this task in the time specified, keep some room to give him a day or two extra to accomplish his task. This does not upset client delivery and is the safe way of doing projects. Keep and Insightful Approach Identify potential problems before they delay your project. To be a great IT manager you have to be honest & diplomatic at the same time, it is essential for you to give earlier notice of potential delays or scope changes to your clients. In situation where delay is inevitable you should be in a position to provide immediate, on-demand status progress reports. Learning from past experiences if very important one must keep a track of actual time spent on all aspects of the projects, this will help you create better future estimates and timelines.

  Read the article

• Handy Web Tools for Entrepreneurs

  TripIt.com keeps your travel itinerary available no matter where you go, plus an SEO resource to keep tabs on your competition and a great source for large business posters.

  Read the article

• Handy Web Tools for Entrepreneurs

  TripIt.com keeps your travel itinerary available no matter where you go, plus an SEO resource to keep tabs on your competition and a great source for large business posters.

  Read the article

• A Perspective on Database Performance Tuning

  Fundamentally, database performance tuning is done for two basic reasons, to reduce response time and to reduce resource usage, both of which can apply for any given situation. Julian Stuhler looks at database performance tuning, and why it remains one of the most important topics for any DBA, developer or systems administrator.

  Read the article

• Core Parking in Ubuntu?

  - by Xxx Xxx

  Core parking is a new feature that introduced in Windows 7 to get better Battery performance . Depending on the resource use of the operating system it may park one or multiple cores of a multi-core cpu to reduce the computer’s power consumption and thermal emissions. Once operations require more processing power, the parked cores are activated again to assist in the tasks So my question is that is there any way i can do it on Ubuntu 12.04 " Core Parking " ?

  Read the article

• Oracle ETPM v2.3.1 Examachine Performance Benchmark Data Sheet

  - by Paula Speranza-Hadley

  Oracle Tax is pleased to announce the exceptional results of the Oracle ETPM v2.3.1 Examachine performance benchmark.   The benchmark achieved the following results:  · Processed8M outpayments and 2M payments in  6 hours · Processed 1M forms in 4 hours · Near  linear scalability of batch processing For the complete data sheet, please click on the following link:  https://blogs.oracle.com/tax/resource/OracleETPMv231ExamachinePerformanceBenchmarkDataSheet.pdf

  Read the article

• More Great Improvements to the Windows Azure Management Portal

  - by ScottGu

  Over the last 3 weeks we’ve released a number of enhancements to the new Windows Azure Management Portal.  These new capabilities include: Localization Support for 6 languages Operation Log Support Support for SQL Database Metrics Virtual Machine Enhancements (quick create Windows + Linux VMs) Web Site Enhancements (support for creating sites in all regions, private github repo deployment) Cloud Service Improvements (deploy from storage account, configuration support of dedicated cache) Media Service Enhancements (upload, encode, publish, stream all from within the portal) Virtual Networking Usability Enhancements Custom CNAME support with Storage Accounts All of these improvements are now live in production and available to start using immediately.  Below are more details on them: Localization Support The Windows Azure Portal now supports 6 languages – English, German, Spanish, French, Italian and Japanese. You can easily switch between languages by clicking on the Avatar bar on the top right corner of the Portal: Selecting a different language will automatically refresh the UI within the portal in the selected language: Operation Log Support The Windows Azure Portal now supports the ability for administrators to review the “operation logs” of the services they manage – making it easy to see exactly what management operations were performed on them.  You can query for these by selecting the “Settings” tab within the Portal and then choosing the “Operation Logs” tab within it.  This displays a filter UI that enables you to query for operations by date and time: As of the most recent release we now show logs for all operations performed on Cloud Services and Storage Accounts.  You can click on any operation in the list and click the “Details” button in the command bar to retrieve detailed status about it.  This now makes it possible to retrieve details about every management operation performed. In future updates you’ll see us extend the operation log capability to apply to all Windows Azure Services – which will enable great post-mortem and audit support. Support for SQL Database Metrics You can now monitor the number of successful connections, failed connections and deadlocks in your SQL databases using the new “Dashboard” view provided on each SQL Database resource: Additionally, if the database is added as a “linked resource” to a Web Site or Cloud Service, monitoring metrics for the linked SQL database are shown along with the Web Site or Cloud Service metrics in the dashboard. This helps with viewing and managing aggregated information across both resources in your application. Enhancements to Virtual Machines The most recent Windows Azure Portal release brings with it some nice usability improvements to Virtual Machines: Integrated Quick Create experience for Windows and Linux VMs Creating a new Windows or Linux VM is now easy using the new “Quick Create” experience in the Portal: In addition to Windows VM templates you can also now select Linux image templates in the quick create UI: This makes it incredibly easy to create a new Virtual Machine in only a few seconds. Enhancements to Web Sites Prior to this past month’s release, users were forced to choose a single geographical region when creating their first site.  After that, subsequent sites could only be created in that same region.  This restriction has now been removed, and you can now create sites in any region at any time and have up to 10 free sites in each supported region: One of the new regions we’ve recently opened up is the “East Asia” region.  This allows you to now deploy sites to North America, Europe and Asia simultaneously.  Private GitHub Repository Support This past week we also enabled Git based continuous deployment support for Web Sites from private GitHub and BitBucket repositories (previous to this you could only enable this with public repositories).  Enhancements to Cloud Services Experience The most recent Windows Azure Portal release brings with it some nice usability improvements to Cloud Services: Deploy a Cloud Service from a Windows Azure Storage Account The Windows Azure Portal now supports deploying an application package and configuration file stored in a blob container in Windows Azure Storage. The ability to upload an application package from storage is available when you custom create, or upload to, or update a cloud service deployment. To upload an application package and configuration, create a Cloud Service, then select the file upload dialog, and choose to upload from a Windows Azure Storage Account: To upload an application package from storage, click the “FROM STORAGE” button and select the application package and configuration file to use from the new blob storage explorer in the portal. Configure Windows Azure Caching in a caching enabled cloud service If you have deployed the new dedicated cache within a cloud service role, you can also now configure the cache settings in the portal by navigating to the configuration tab of for your Cloud Service deployment. The configuration experience is similar to the one in Visual Studio when you create a cloud service and add a caching role.  The portal now allows you to add or remove named caches and change the settings for the named caches – all from within the Portal and without needing to redeploy your application. Enhancements to Media Services You can now upload, encode, publish, and play your video content directly from within the Windows Azure Portal.  This makes it incredibly easy to get started with Windows Azure Media Services and perform common tasks without having to write any code. Simply navigate to your media service and then click on the “Content” tab.  All of the media content within your media service account will be listed here: Clicking the “upload” button within the portal now allows you to upload a media file directly from your computer: This will cause the video file you chose from your local file-system to be uploaded into Windows Azure.  Once uploaded, you can select the file within the content tab of the Portal and click the “Encode” button to transcode it into different streaming formats: The portal includes a number of pre-set encoding formats that you can easily convert media content into: Once you select an encoding and click the ok button, Windows Azure Media Services will kick off an encoding job that will happen in the cloud (no need for you to stand-up or configure a custom encoding server).  When it’s finished, you can select the video in the “Content” tab and then click PUBLISH in the command bar to setup an origin streaming end-point to it: Once the media file is published you can point apps against the public URL and play the content using Windows Azure Media Services – no need to setup or run your own streaming server.  You can also now select the file and click the “Play” button in the command bar to play it using the streaming endpoint directly within the Portal: This makes it incredibly easy to try out and use Windows Azure Media Services and test out an end-to-end workflow without having to write any code.  Once you test things out you can of course automate it using script or code – providing you with an incredibly powerful Cloud Media platform that you can use. Enhancements to Virtual Network Experience Over the last few months, we have received feedback on the complexity of the Virtual Network creation experience. With these most recent Portal updates, we have added a Quick Create experience that makes the creation experience very simple. All that an administrator now needs to do is to provide a VNET name, choose an address space and the size of the VNET address space. They no longer need to understand the intricacies of the CIDR format or walk through a 4-page wizard or create a VNET / subnet. This makes creating virtual networks really simple: The portal also now has a “Register DNS Server” task that makes it easy to register DNS servers and associate them with a virtual network. Enhancements to Storage Experience The portal now lets you register custom domain names for your Windows Azure Storage Accounts.  To enable this, select a storage resource and then go to the CONFIGURE tab for a storage account, and then click MANAGE DOMAIN on the command bar: Clicking “Manage Domain” will bring up a dialog that allows you to register any CNAME you want: Summary The above features are all now live in production and available to use immediately.  If you don’t already have a Windows Azure account, you can sign-up for a free trial and start using them today.  Visit the Windows Azure Developer Center to learn more about how to build apps with it. One of the other cool features that is now live within the portal is our new Windows Azure Store – which makes it incredibly easy to try and purchase developer services from a variety of partners.  It is an incredibly awesome new capability – and something I’ll be doing a dedicated post about shortly. Hope this helps, Scott P.S. In addition to blogging, I am also now using Twitter for quick updates and to share links. Follow me at: twitter.com/scottgu

  Read the article

• Windows Azure Recipe: High Performance Computing

  - by Clint Edmonson

  One of the most attractive ways to use a cloud platform is for parallel processing. Commonly known as high-performance computing (HPC), this approach relies on executing code on many machines at the same time. On Windows Azure, this means running many role instances simultaneously, all working in parallel to solve some problem. Doing this requires some way to schedule applications, which means distributing their work across these instances. To allow this, Windows Azure provides the HPC Scheduler. This service can work with HPC applications built to use the industry-standard Message Passing Interface (MPI). Software that does finite element analysis, such as car crash simulations, is one example of this type of application, and there are many others. The HPC Scheduler can also be used with so-called embarrassingly parallel applications, such as Monte Carlo simulations. Whatever problem is addressed, the value this component provides is the same: It handles the complex problem of scheduling parallel computing work across many Windows Azure worker role instances. Drivers Elastic compute and storage resources Cost avoidance Solution Here’s a sketch of a solution using our Windows Azure HPC SDK: Ingredients Web Role – this hosts a HPC scheduler web portal to allow web based job submission and management. It also exposes an HTTP web service API to allow other tools (including Visual Studio) to post jobs as well. Worker Role – typically multiple worker roles are enlisted, including at least one head node that schedules jobs to be run among the remaining compute nodes. Database – stores state information about the job queue and resource configuration for the solution. Blobs, Tables, Queues, Caching (optional) – many parallel algorithms persist intermediate and/or permanent data as a result of their processing. These fast, highly reliable, parallelizable storage options are all available to all the jobs being processed. Training Here is a link to online Windows Azure training labs where you can learn more about the individual ingredients described above. (Note: The entire Windows Azure Training Kit can also be downloaded for offline use.) Windows Azure HPC Scheduler (3 labs)  The Windows Azure HPC Scheduler includes modules and features that enable you to launch and manage high-performance computing (HPC) applications and other parallel workloads within a Windows Azure service. The scheduler supports parallel computational tasks such as parametric sweeps, Message Passing Interface (MPI) processes, and service-oriented architecture (SOA) requests across your computing resources in Windows Azure. With the Windows Azure HPC Scheduler SDK, developers can create Windows Azure deployments that support scalable, compute-intensive, parallel applications. See my Windows Azure Resource Guide for more guidance on how to get started, including links web portals, training kits, samples, and blogs related to Windows Azure.

  Read the article

• My Interview With DevExpress Regarding Silicon Valley Code Camp

  Last week, while at Microsofts TechEd 2010, Mehul Harry, Technical Evangalist for Developer Express, interviewed me about our upcoming Silicon Valley Code Camp (of which Dev Express is a platinum... This site is a resource for asp.net web programming. It has examples by Peter Kellner of techniques for high performance programming...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

• PostSharp, Obfuscation, and IL

  - by Simon Cooper

  Aspect-oriented programming (AOP) is a relatively new programming paradigm. Originating at Xerox PARC in 1994, the paradigm was first made available for general-purpose development as an extension to Java in 2001. From there, it has quickly been adapted for use in all the common languages used today. In the .NET world, one of the primary AOP toolkits is PostSharp. Attributes and AOP Normally, attributes in .NET are entirely a metadata construct. Apart from a few special attributes in the .NET framework, they have no effect whatsoever on how a class or method executes within the CLR. Only by using reflection at runtime can you access any attributes declared on a type or type member. PostSharp changes this. By declaring a custom attribute that derives from PostSharp.Aspects.Aspect, applying it to types and type members, and running the resulting assembly through the PostSharp postprocessor, you can essentially declare 'clever' attributes that change the behaviour of whatever the aspect has been applied to at runtime. A simple example of this is logging. By declaring a TraceAttribute that derives from OnMethodBoundaryAspect, you can automatically log when a method has been executed: public class TraceAttribute : PostSharp.Aspects.OnMethodBoundaryAspect { public override void OnEntry(MethodExecutionArgs args) { MethodBase method = args.Method; System.Diagnostics.Trace.WriteLine( String.Format( "Entering {0}.{1}.", method.DeclaringType.FullName, method.Name)); } public override void OnExit(MethodExecutionArgs args) { MethodBase method = args.Method; System.Diagnostics.Trace.WriteLine( String.Format( "Leaving {0}.{1}.", method.DeclaringType.FullName, method.Name)); } } [Trace] public void MethodToLog() { ... } Now, whenever MethodToLog is executed, the aspect will automatically log entry and exit, without having to add the logging code to MethodToLog itself. PostSharp Performance Now this does introduce a performance overhead - as you can see, the aspect allows access to the MethodBase of the method the aspect has been applied to. If you were limited to C#, you would be forced to retrieve each MethodBase instance using Type.GetMethod(), matching on the method name and signature. This is slow. Fortunately, PostSharp is not limited to C#. It can use any instruction available in IL. And in IL, you can do some very neat things. Ldtoken C# allows you to get the Type object corresponding to a specific type name using the typeof operator: Type t = typeof(Random); The C# compiler compiles this operator to the following IL: ldtoken [mscorlib]System.Random call class [mscorlib]System.Type [mscorlib]System.Type::GetTypeFromHandle( valuetype [mscorlib]System.RuntimeTypeHandle) The ldtoken instruction obtains a special handle to a type called a RuntimeTypeHandle, and from that, the Type object can be obtained using GetTypeFromHandle. These are both relatively fast operations - no string lookup is required, only direct assembly and CLR constructs are used. However, a little-known feature is that ldtoken is not just limited to types; it can also get information on methods and fields, encapsulated in a RuntimeMethodHandle or RuntimeFieldHandle: // get a MethodBase for String.EndsWith(string) ldtoken method instance bool [mscorlib]System.String::EndsWith(string) call class [mscorlib]System.Reflection.MethodBase [mscorlib]System.Reflection.MethodBase::GetMethodFromHandle( valuetype [mscorlib]System.RuntimeMethodHandle) // get a FieldInfo for the String.Empty field ldtoken field string [mscorlib]System.String::Empty call class [mscorlib]System.Reflection.FieldInfo [mscorlib]System.Reflection.FieldInfo::GetFieldFromHandle( valuetype [mscorlib]System.RuntimeFieldHandle) These usages of ldtoken aren't usable from C# or VB, and aren't likely to be added anytime soon (Eric Lippert's done a blog post on the possibility of adding infoof, methodof or fieldof operators to C#). However, PostSharp deals directly with IL, and so can use ldtoken to get MethodBase objects quickly and cheaply, without having to resort to string lookups. The kicker However, there are problems. Because ldtoken for methods or fields isn't accessible from C# or VB, it hasn't been as well-tested as ldtoken for types. This has resulted in various obscure bugs in most versions of the CLR when dealing with ldtoken and methods, and specifically, generic methods and methods of generic types. This means that PostSharp was behaving incorrectly, or just plain crashing, when aspects were applied to methods that were generic in some way. So, PostSharp has to work around this. Without using the metadata tokens directly, the only way to get the MethodBase of generic methods is to use reflection: Type.GetMethod(), passing in the method name as a string along with information on the signature. Now, this works fine. It's slower than using ldtoken directly, but it works, and this only has to be done for generic methods. Unfortunately, this poses problems when the assembly is obfuscated. PostSharp and Obfuscation When using ldtoken, obfuscators don't affect how PostSharp operates. Because the ldtoken instruction directly references the type, method or field within the assembly, it is unaffected if the name of the object is changed by an obfuscator. However, the indirect loading used for generic methods was breaking, because that uses the name of the method when the assembly is put through the PostSharp postprocessor to lookup the MethodBase at runtime. If the name then changes, PostSharp can't find it anymore, and the assembly breaks. So, PostSharp needs to know about any changes an obfuscator does to an assembly. The way PostSharp does this is by adding another layer of indirection. When PostSharp obfuscation support is enabled, it includes an extra 'name table' resource in the assembly, consisting of a series of method & type names. When PostSharp needs to lookup a method using reflection, instead of encoding the method name directly, it looks up the method name at a fixed offset inside that name table: MethodBase genericMethod = typeof(ContainingClass).GetMethod(GetNameAtIndex(22)); PostSharp.NameTable resource: ... 20: get_Prop1 21: set_Prop1 22: DoFoo 23: GetWibble When the assembly is later processed by an obfuscator, the obfuscator can replace all the method and type names within the name table with their new name. That way, the reflection lookups performed by PostSharp will now use the new names, and everything will work as expected: MethodBase genericMethod = typeof(#kGy).GetMethod(GetNameAtIndex(22)); PostSharp.NameTable resource: ... 20: #kkA 21: #zAb 22: #EF5a 23: #2tg As you can see, this requires direct support by an obfuscator in order to perform these rewrites. Dotfuscator supports it, and now, starting with SmartAssembly 6.6.4, SmartAssembly does too. So, a relatively simple solution to a tricky problem, with some CLR bugs thrown in for good measure. You don't see those every day!

  Read the article

< Previous Page | 205 206 207 208 209 210 211 212 213 214 215 216  | Next Page >