Somewhere, there is an internal webservice-.Net-Async-call queue, for all the waiting methdocalls. First method is doing something before the webcall and then is starting the webcall In this case your executeThread would be programmed in many things: This will usually happen in its own thread, in a workerthread or by a waithandle. The async-call to the webservice will alert as soon as the answer arrives. One of your workerthreadsĬan make a async call to a webservice and then, is is not blocking.
Parallels network slow how to#
What you may search for is, how to make a async-call on a webservice. Or you have to use Thread.Abort() or Thread.Interupt(), which should be avoided. If you don't want to wait these 15s, then you are not allowed to use blocking threads. You will always have to wait these 15s for cancelation, if you are using blocking threads. But finally, that will not help with the problem, that your webservice callsĪre blocking a long long time, up to 15s.
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![parallels network slow parallels network slow](https://wiki.carleton.edu/download/attachments/3113218/Parallels_Network_Config.png)
what you can do, is to give that token to your executeThread-method and ask that token many times. The very past will solve the problem, because threads doesn't have to be started when calculations starts.Ĭancelation is always done like you did: if "token.isCancelationRequired". Having a big amount of workerthreads, which were created in As long as a thread is blocking by waiting on a webcall, its processor is doing nothing. The blocking threads are the reason, why you need many of them. Sorry, I know C# and Pararllel, but not IIS. Will help you to set the amount of threads, you want to have per core. When using SetMinThreads, immediately the given amount of worker threads will be created. You can use ThreadPool.SetMinThreads and ThreadPool.SetMaxThreads to control how many threads you will have. Loop ' After Timeout abort all threads if they are still alive If (livingThreadsCount > 0) Then For Each processedThread As Thread In Threads Next ' Continue this Loop checking if any thread is still alive or timeout has occured ' If all thread have been completed or the master timeout has occured continue Do While (Now - start).TotalSeconds 0įor Each processedThread As Thread In Threads Thread = New Thread( New ParameterizedThreadStart( AddressOf executeThread)) thanks for your answers For Each myavailableItem In myItemList PS: I know thread.abort is not something good and efficient but this is other issue, not my question. it reaches sometimes 40secs althought first thread approach aborts in 30secs. why is that? Second problem is my executeThread() function does multiple webservice calls and when i have timeout 30secs for my cancellation token, it doesnt finish threading in 30secs.
![parallels network slow parallels network slow](https://cordova.apache.org/static/img/guide/platforms/wp8/parallel_optimize_opts.png)
but first approach with old classic threading works faster that using parallel foreach. But my Macs have the CPU and RAM for two OSs at once, so there is no performance problem.I have 2 threading code, I believe similar work they do.
Parallels network slow mac#
What I like about Parallels is that I can run my Mac and Windows applications at the same time and move data between the Mac and Windows applications.
![parallels network slow parallels network slow](https://photos5.appleinsider.com/gallery/39426-75449-37114-69511-000-lead-Parallels-xl-l.jpg)
In Boot Camp the entire Mac would be a Windows PC. This would boot the entire Mac into Windows only, so that Windows and OS X are not both trying to use the Mac at the same time. In that case your other option is to put Windows on its own drive partition and run Boot Camp. Even better if the Mac has solid state storage.īut if you are for example running Parallels on an older Mac with 4GB RAM and a dual-core CPU off a hard drive, it is possible that running Windows inside OS X may be too high of a demand and it might seem slow. Something like a quad core CPU with 8GB RAM or more with few other Mac applications running should run Windows and Quicken inside it OK. If your Mac has enough CPU power and enough RAM to run the equivalent of two computers, you should not see a Parallels slowdown. Running Parallels means you are running a complete Windows installation inside OS X. The general conclusion you should be drawing from the responses is "Parallels will not slow you down unless your Mac is under-equipped to run two OSs at the same time."