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Joydip Kanjilal

By Joydip Kanjilal , Contributor, InfoWorld |

  • How to build your own task scheduler in C#

Take advantage of a custom task scheduler to provide added functionalities over the default task scheduler and manage how tasks are scheduled in .Net

How to build your own task scheduler in C#

The TPL (Task Parallel Library) is one of the most interesting new features in the recent versions of .NET framework, having first been introduced in .NET Framework 4.0. To work with the TPL you would need to take advantage of the System.Threading.Tasks namespace.

What are task schedulers? Why do we need them?

Now, how is that the tasks are scheduled? Well, there is a component called task scheduler that is responsible for scheduling your tasks. In essence, it’s an abstraction for a low-level object that can queue your tasks onto threads.

The .NET Framework provides you with two task schedulers. These include the default task scheduler that runs on the .NET framework thread pool, and another task scheduler that executes on the synchronization context of a specified target. Note that the default task scheduler of the TPL takes advantage of the .NET Framework thread pool. This thread pool is in turn represented by the ThreadPool class that is contained inside the System.Threading.Tasks namespace.

Although the default task scheduler will suffice most of the time, you may want to build your own custom task scheduler to provide added functionalities, i.e. features that are not provided by the default task scheduler. Such features may include, FIFO execution, degree of concurrency, etc.

Extend the TaskScheduler class in C#

To build your own custom task scheduler you would need to create a class that extends the System.Threading.Tasks.TaskScheduler class. So, to build a custom task scheduler, you would need to extend the TaskScheduler abstract class and override the following methods.

  • QueueTask returns void and accepts a Task object as parameter and this method is called when a task is to be scheduled
  • GetScheduledTasks  returns a list (an IEnumerable to be precise) of all the tasks that have been scheduled
  • TryExecuteTaskInline is used to execute tasks inline, i.e., on the current thread. In this case, the tasks are executed sans the need of queuing them

The following code snippet shows how you can extend the TaskScheduler class to implement your custom scheduler in C#.

As we discussed earlier in this article, you would need to override the GetScheduledTasks, QueueTask, and TryExecuteTaskInline methods in the custom task scheduler.

Use BlockingCollection to store a collection of task objects in C#

Let's now start implementing our custom task scheduler. The following code snippet shows how you can leverage BlockingCollection to store a collection of task objects.

Refer to the constructor of the CustomTaskScheduler class. Note how a new thread has been created and started to run the Execute method.

Implement the GetScheduledTasks, QueueTask, and TryExecuteTaskInline methods in C#

Next, we need to implement the three methods that we need to override in our custom task scheduler. These three methods include the GetScheduledTasks, QueueTask, and TryExecuteTaskInline.

The GetScheduledTasks method returns the instance of the task collection as IEnumerable. This is used so that you can enumerate the collection as shown in the Execute method. The QueueTask method accepts a Task object as a parameter and stores it in the task collection. The TryExecuteTaskInline method doesn’t have an implementation — I will leave it to the reader to implement it.

Complete CustomTaskScheduler example in C#

The following code listing illustrates the final version of our CustomTaskScheduler.

To use the custom task scheduler we just implemented, you can use the following code snippet:

How to do more in C#:

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Joydip Kanjilal is a Microsoft MVP in ASP.NET, as well as a speaker and author of several books and articles. He has more than 20 years of experience in IT including more than 16 years in Microsoft .NET and related technologies.

Copyright © 2016 IDG Communications, Inc.

custom task scheduler c#

  • How to Create Scheduled Tasks in C#

How to Create Scheduled Tasks in C#

The following article will guide you on scheduling tasks using the programming language C#.

C# Task Scheduler

In the following example, we’ll utilize Windows Task Scheduler , a component that automatically executes tasks at predefined times or in reaction to triggered events. Tasks can be scheduled to execute at various times, such as when the computer boots up or when a user checks in.

Task scheduler allows you to set up events that will trigger the launch of predefined tasks and run commands and execute scripts at certain times and dates.

Add NuGet Reference Package

We’ll add the TaskScheduler package for Windows task scheduling operations. To do that, follow the below steps.

Open Visual Studio , create a Console Application , and name it.

Right-click on the solution explorer panel and select manage nuget packages ., now click on the browse option, search for taskscheduler and install it..

add nuget reference

After adding the package, import the following libraries:

We’ll initiate TaskService to start the local machine’s task service.

Now, create a new task definition as td and give characteristics such as the author or description.

We need to ensure that we have an action set up so that Notepad++ is launched once the trigger is triggered.

After that, we must register the job in the primary folder.

Lastly, we can insert an interval of the day shown below. Schedule the job to begin every other day at this time by setting a trigger.

Complete Source Code:

notepad output

I have been working as a Flutter app developer for a year now. Firebase and SQLite have been crucial in the development of my android apps. I have experience with C#, Windows Form Based C#, C, Java, PHP on WampServer, and HTML/CSS on MYSQL, and I have authored articles on their theory and issue solving. I'm a senior in an undergraduate program for a bachelor's degree in Information Technology.

Related Article - Csharp Task

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custom task scheduler c#

Customizing the TaskScheduler: Queue Your Task Work Items to Run When You Want Them To

custom task scheduler c#

  • Download source - 19.6 KB

Task Scheduler

Introduction

The Task framework in .NET and the TAP programming pattern are very powerful tools to add concurrent execution to your application. Often easier to use than threads, they give you at least as much power, if you know how to use them. Some of the best features however, aren't very well documented. Once such feature is the TaskScheduler , which controls when your tasks get executed.

I got into this mess revisting this project but using the Task framework and the built in thread pool. To my horror, .NET allocates (on my system) 2047 potential threads for CPU bound** operations. I'm not sure they're actually created, or if there's just cutouts, but still, an ideally designed application will have exactly as many CPU bound operations going as there are cores (or usually, cores minus one since the primary one is usually concerned with managing everything else, and probably a UI). The bottom line is, if you have operations that tie up your CPU, you don't gain any performance by running more of them than you have cores to execute them. Given that, the .NET value I get back for available threads per process seems obscene. In fact, the more threads you have, the harder the scheduler has to work, meaning you're losing performance with more threads than you can even run concurrently on your CPU. The moral of this is create as few threads as you need, but no fewer.

I'd rather prefer to queue operations once I won't get additional performance out of running more of them. The built in ThreadPool doesn't really care about that, and setting SetMaxThreads() to try to change that impacts the whole process, among other problems. Using the technique I outlined in the previous article works, but it's a bit complicated, and even if it was abstracted, using the Task framework is the way to go these days in .NET. Therefore, I needed something to allow me to use Tasks, but in such a way that I could control how many ran at once. Eventually, I stumbled on TaskScheduler , and even a bit of example code for subclassing it to change the behavior, but otherwise it's not very well documented. Here, I present this technique to you.

** A CPU bound operation is one that ties up your processor, making it crunch on something. Contrast this with an I/O bound operation that spends most of its time waiting on external device interactions like a hard drive's disk reads or a network controller's incoming packets. The distinction is important, because there's good reason to have more I/O bound operations than cores, depending on how many devices you are talking to. An I/O bound operation does not tie up CPU cycles (aside from a miniscule bit of overhead to make it work).

Conceptualizing this Mess

The ThreadPool as I said, allocates a tremendous amount of threads (or at least stand ins for them) up front and basically takes queuing long operations off the table, because you'll usually have a thread available, even if you don't have an idle core to run it on - or at least this is default behavior. This setup on my system gives me roughly 1023 threads per core, per process in the pool. That's ridiculous. Even if my app had that many long running CPU bound tasks for some reason I can't fathom, there's no way I'd want to try to execute them all at once! No, what I'd like to do is allocate a certain number of workers, and then dedicate those workers to fulfilling the tasks as the workers become available, so that tasks are waiting in line to be completed, even as more than one are being completed at once. One of the main reasons for doing this is performance, but also it can be simply a manageability issue. The more of these tasks you are juggling at once, the more unwieldy and resource hungry your app can become. This isn't what we want.

Luckily, the Task framework gives you a way to customize scheduling if you're willing to use TaskFactory.StartNew() instead of Task.Run() . To facilitate this, we have to pass a custom TaskScheduler as an argument to the TaskFactory 's constructor. First however, we need a task scheduler implementation to pass it. Microsoft gives us two, and neither does what we want. The example code I linked to however, comes close. With a bit of hammering on it, I was able to recreate a pretty faithful reproduction of the behavior of my previous application, but using this entirely different paradigm.

Basically, it has facilities for queuing and dequeuing tasks, as well as executing them normally or on the current thread. It also includes a member use by debuggers to enumerate the tasks. We'll be implementing most of this here.

Once we do, the rest of the app is straightforward. It just spawns a new task whenever a button is clicked, linking the task to a progress control it adds to the display. The scheduler handles when it runs. We use an anonymous delegate for linking the control which is much simpler than my original application, although this is a special use case, and that application's infrastructure supports far more than scheduling whereas this is a one trick pony. Still, it's a useful pony with a neat trick.

Coding this Mess

The user interface.

First let's look at the user interface. The meat of it is in the "Enqueue Work" button's click handler:

_taskSched is our custom task scheduler instance. Note how we're passing it to TaskFactory 's constructor on the bolded line. This allows us to swap out the standard scheduling behavior with ours that constrains the number of concurrent tasks. In the delegate, there's the "work" that our long running task performs. Note how we're updating the UI periodically within it, using BeginInvoke() . This is to report our progress in a thread safe manner. This is a bit different than how the last article's app worked, but it's easier this time than it was in the previous article.

Our WorkerProgressControl is basically just a progress bar and a label like in the last article. We dock them as we add more tasks to create a list. Unlike the last app, we can let the C# compiler manage our lookup for our control by using its anonymous method hoisting feature. Basically, we just reference wpc from inside the anonymous method and it works like magic - like it always does.

The nice thing here is, there's no work here done to schedule the task. All of that is handled by _taskSched . Our UI code doesn't have to care, which keeps it dead simple. A user interface should be glue, and not much more. Let's keep the scheduling logic where it belongs!

The Task Scheduler

Speaking of our custom TaskScheduler , let's visit it now. We use it to track the current tasks, get the next task, execute tasks, and gather various statistics on tasks. Much of this is a shameless lift of Microsoft's example code I linked to in the introduction, but I've modified it to gather more statistics and to allow you to change the amount of concurrency allowed for during the lifetime of the object, not just on creation. Let's dive in, starting with our member fields:

First, we have a flag that indicates whether the current thread is processing work items. This is set on a thread by thread basis and checked when we try to "inline" a task to run on the same thread. Otherwise, it's not much use to us.

Second, we have a linked list that stores our tasks. We lock all access to it, using lock . I thought this was terrible at first, and I was ready to replace the whole thing with a slimmer synchronization facility, but when I did some reading, I found out that in this case, due to thread access patterns, the lock performs as good or better than most of the other options in this scenario, and better than anything non-trivial. At one point, I probably would have vowed to only use it at gunpoint but in the end, here we are. The linked list is appropriate because tasks are added as often as they are removed, and removal happens at the first node.

Now, we have our maximum task count, which it tries to set to the ideal number based on the hardware of your machine. Basically it wants to use all your cores minus one, with a minimum of one.

Finally, we have our _pendingTaskCount and _waitingTaskCount which track the number of items running** and the number of items waiting.

** Sort of. We actually get this decremented some time before the task is finished running. There's a way to track the end of the task and get it on the nose, but it's far less efficient. Consider this value to be an estimate.

Now let's put these fields to work. The first non-trivial member we encounter is QueueTask() , which is implemented thus:

All it's doing is taking a lock on the list, adding a task and updating our statistics. If it's less than the number of tasks we allow for, we increase the pending tasks and notify the thread pool, which brings us to _NotifyThreadPoolOfPendingWork() :

This is a bit more substantial. First, we call UnsafeQueueUserWorkItem() . You might be wondering why we're not calling QueueUserWorkItem() and I wondered that too, but then I found this . We aren't calling ExecutionContext.Capture() which is an expensive call. The downside is this matters when your code runs in a restricted environment because it can elevate privileges. Performance is the only reason I could find for discovering this call in the example code from Microsoft. Looking at the rest of this code of theirs, it was implemented better than I expected for an example, so I'm sticking with this call. Presumably the performance payoff is worth it though with long running tasks I wouldn't think so, or perhaps more importantly, there might be gotchas I'm unaware of with the more traditional method in this scenario. I can't be sure so ironically, I'm playing it safe by sticking to UnsafeQueueUserWorkItem() !

Inside the anonymous method, we have to do our work, so we set the per-thread flag indicating we're busy processing, and then we loop through the tasks. Note we're locking inside the loop. We do that so we can keep the base.TryExecuteTask(item) outside of the lock, and this is important for performance and to prevent potential deadlocks. Inside the lock, we update our statistics, get the time, and remove it from the task list. Finally, we exit the lock. Once we're done, we set our per-thread flag back to idle.

We didn't have to use the system thread pool here. You can schedule your tasks to execute on raw threads or even the same thread if you want it to always block. It all depends on how you implement TaskScheduler .

Next, we have TryExecuteInline() which attempts to execute the task on the current thread:

First, what we're doing here is checking if we're currently processing, because for this to work, we have to be, or we'll never get an opportunity from this thread in the first place. If we are, then we see if the task was already in the queue. If so, we remove and run it immediately, otherwise if it's not in the queue we return false. Finally, if it wasn't previously queued, we simply run the task. The removal is so we don't run the task twice.

TryDequeue() simply tries to remove an item:

The only other thing we're doing aside from locking the list and removal is updating the waiting statistic.

Finally, we have GetScheduledTasks() :

The thing about this method is that it's intended for debuggers, and we can't block on the debugger thread so we simply try to enter the lock, and if we can't, then we throw. Oddly enough, the debugger can handle an exception better than a blocking call, and the documentation for the method says as much, in so many words.

And that's it. There's really not a lot to it. It's just a matter of knowing what to look for.

  • 18 th July, 2020 - Initial submission

This article, along with any associated source code and files, is licensed under The MIT License

custom task scheduler c#

Comments and Discussions

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custom task scheduler c#

On occasion, this chapter has mentioned the task scheduler and its role in determining how to assign work to threads efficiently. Programmatically, the task scheduler is an instance of the System.Threading.Tasks.TaskScheduler . This class, by default, uses the thread pool to schedule tasks appropriately, determining how to safely and efficiently execute them—when to reuse them, dispose them, or create additional ones.

It is possible to create your own task scheduler that makes different choices about how to schedule tasks by deriving a new type from the TaskScheduler class. You can obtain a TaskScheduler that will schedule a task to the current thread (or, more precisely, to the synchronization context associated with the current thread), rather than to a different worker thread, by using the static FromCurrentSynchronizationContext() method.

The synchronization context under which a task executes and, in turn, the continuation task(s) execute(s), is important because the awaiting task consults the synchronization context (assuming there is one) so that a task can execute efficiently and safely. Listing 20.13 (along with Output 20.3 ) is similar to Listing 19.3 , except that it also prints out the thread ID when it displays the message.

What is noteworthy about this output is that the thread ID changes sometimes and gets repeated at other times. In this kind of plain console application, the synchronization context (accessible from SynchronizationContext.Current ) is null—the default synchronization context causes the thread pool to handle thread allocation instead. This explains why the thread ID changes between tasks: Sometimes the thread pool determines that it is more efficient to use a new thread, and sometimes it decides that the best course of action is to reuse an existing thread.

Fortunately, the synchronization context gets set automatically for types of applications where that is critical. For example, if the code creating tasks is running in a thread created by ASP.NET, the thread will have a synchronization context of type AspNetSynchronizationContext associated with it. In contrast, if your code is running in a thread created in a Windows UI application—namely, Windows Presentation Foundation (WPF) or Windows Forms—the thread will have an instance of DispatcherSynchronizationContext or WindowsFormsSynchronizationContext , respectively. (For console applications and Windows Services, the thread will have an instance of the default SynchronizationContext .) Since the TPL consults the synchronization context, and that synchronization context varies depending on the circumstances of the execution, the TPL is able to schedule continuations executing in contexts that are both efficient and safe.

To modify the code so that the synchronization context is leveraged instead, you must (1) set the synchronization context and (2) use async / await to ensure that the synchronization context is consulted. 17

It is possible to define custom synchronization contexts and to work with existing synchronization contexts to improve their performance in some specific scenarios. However, describing how to do so is beyond the scope of this text.

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Task Scheduler. Get Scheduled Tasks Method

Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.

For debugger support only, generates an enumerable of Task instances currently queued to the scheduler waiting to be executed.

An enumerable that allows a debugger to traverse the tasks currently queued to this scheduler.

This scheduler is unable to generate a list of queued tasks at this time.

A class derived from TaskScheduler implements this method in order to support integration with debuggers. This method will only be invoked by the .NET Framework when the debugger requests access to the data. The enumerable returned will be traversed by debugging utilities to access the tasks currently queued to this scheduler, enabling the debugger to provide a representation of this information in the user interface.

It is important to note that, when this method is called, all other threads in the process will be frozen. Therefore, it's important to avoid synchronization with other threads that may lead to blocking. If synchronization is necessary, and you are unable to acquire the lock in this method, then you should throw an exception so that the debugger does not block. The following example shows one possible approach in C#:

Additionally, this method and the enumerable returned must not modify any globally visible state.

The returned enumerable should never be null. If there are currently no queued tasks, an empty enumerable should be returned instead.

Developers who are implementing custom debuggers shouldn't call this method directly, but should use the internal wrapper method GetScheduledTasksForDebugger instead: internal Task[] GetScheduledTasksForDebugger() . This wrapper method returns an array of tasks instead of an enumerable. To retrieve a list of active schedulers, use the internal method internal static TaskScheduler[] GetTaskSchedulersForDebugger() . This static method returns an array of all active TaskScheduler instances. You can then use GetScheduledTasksForDebugger on each scheduler instance to retrieve its list of scheduled tasks.

  • TaskScheduler
  • Task Parallel Library (TPL)

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Implementation of a task scheduler in C#, with mechanism for deadlock avoidance and accessing shared resources (Banker's algorithm)

chimarry/TaskScheduler

Folders and files, repository files navigation, task scheduler.

Build Status

The purpose of this project is to implement a task scheduler that is a subclass of System.Threading.Tasks.TaskScheduler class. The number of threads that the task scheduler uses can be changed. Preemptive (PIP or PCP) and non-preemptive scheduling must be enabled. Using Banker's algorithm prevent deadlock situations (a mechanism that enables controlled access to shared resources). Each task that needs to be executed has a certain duration. Enable task scheduling in real-time (adding a new task in real-time).

Building and running application

In order to run the application, .NET Core 3.1 must be installed.

Details of implementation

CoreTaskScheduler is an abstract class that enables scheduling tasks based on priority. I decided to implement two separate implementations of the scheduler, rather than using a flag indicating the purpose of that scheduler, because it was faster for me (easier to read code). To use this scheduler, the user is not creating an ordinary Task object, but a specific one PriorityLimitedTask , which has maximum duration as a limit, has a priority and enables cooperation ( InvalidTaskException can be thrown if the scheduler is called with the wrong type of a task). As I was unable to find thread-safe ordered collection, I am sorting it manually, using SortPendingTasks() method, where sorting is done in parallel.

Registering task on a scheduler

For a task to become part of my scheduler, it needs to go through QueueTask(Task) method. Each time a task has been scheduled, RunScheduling() is called. To be able to cooperatively close running tasks, I use the default .NET scheduler. Each time a user's task is run on my scheduler, I start a new callback task using .NET default scheduler. This callback's purpose is to free the thread for a specified amount of time (time needed for the corresponding user's task to finish) and then cancel the user's task using a cooperative mechanism.

Cooperative mechanism

Cooperative cancelling and context-switch (Preemptive scheduling) depend on how a user will implement an action sent to my scheduler. Each action is meant to provide an execution point when it can be cancelled or paused. If that point does not exist, a cooperative mechanism is not used. Pausing is explained in Preemptive Scheduler. A user can specify more than one execution point when their action can be paused or cancelled. My scheduler has a list of tasks running in the background, that is responsible for the scheduler's side of cooperation.

As a deadlock prevention mechanism, I used Banker's algorithm.

Non-Preemptive scheduler

Task runs until it reaches its duration limit. After that limit is reached, using a cooperative mechanism, a task is stopped from further execution. A number of user's tasks running in parallel must not exceed a specified maximum level of parallelism.

Preemptive scheduler

Task A has Priority.Highest. There are three currently executing the task, two of them with Priority.Normal, and one (Task D) with Priority.Lowest. Task A would stop the execution of a task with minimum priority, in this case, task D, but task D does not allow pausing. So algorithm chooses a task B, because it can be paused. Now, tasks A, C, D are executing, and task B is returned in queue with pending tasks. Pausing is done using a cooperative mechanism. As I mentioned before, a user function must define execution points where it can be paused. For example:

As we can see, pausing (context-switching) is done with some limitations. There is no guaranty that the task that is paused will continue executing on the same thread, or after task A finishes. So, this context switching is done differently than CPU context switching, but the idea is the same. A callback thread, that is run on the default scheduler, checks possible pausing as well as cancelling.

Banker's algorithm

Introduction.

See About algorithm

In CoreTaskScheduler class there is a method GetNextTaskWithDeadlockAvoidance that finds the first task in a queue of pending tasks that can allocate resources, if necessary. In PreemptiveTaskScheduler, if there is a need for context-switch, the algorithm is used directly to check whether interrupt should be acknowledged. Implementation depends on different dictionary structures, and to avoid a race condition, a C# locking mechanism is used.

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COMMENTS

  1. c#

    1 This should be posted in codereview.stackexchange.com. If you want a reliable task scheduler, don't build your own. Use the OS's task scheduler, eg Task Scheduler on Windows or cron on Linux.

  2. TaskScheduler Class (System.Threading.Tasks)

    C# public abstract class TaskScheduler Inheritance Object TaskScheduler Examples The following example creates a custom task scheduler that limits the number of threads used by the app. It then launches two sets of tasks and displays information about the task and the thread on which the task is executing. C#

  3. Replacing the task scheduler in C# with a custom-built one

    19 System.Threading.Tasks If you refer to System.Threading.Tasks then what you need is to subclass TaskScheduler and then you can use an object of your class to initialize a TaskFactory. There is an example in MSDN. I have also found an example in the blog psyCodeDeveloper. ThreadPool

  4. How to build your own task scheduler in C#

    To build your own custom task scheduler you would need to create a class that extends the System.Threading.Tasks.TaskScheduler class. So, to build a custom task scheduler, you would...

  5. How to Create Scheduled Tasks in C#

    C# Task Scheduler In the following example, we'll utilize Windows Task Scheduler, a component that automatically executes tasks at predefined times or in reaction to triggered events. Tasks can be scheduled to execute at various times, such as when the computer boots up or when a user checks in.

  6. dahall/TaskScheduler

    Core features include: Separate, functionally identical, libraries for .NET 2.0, 3.5, 4.0, 4.52, 5.0, 6.0, .NET Standard 2.0, .NET Core 2.0, 2.1, 3.0, 3.1. Unlike the base COM libraries, this wrapper helps to create and view tasks up and down stream. Written in C#, but works with any .NET language including scripting languages (e.g. PowerShell).

  7. GitHub

    Code README MIT license TaskSchedular TaskScheduler is a simple and efficient C# .Net library that runs given tasks at the specified date and time. Efficient : There is no polling. Only runs when a task is due. This is achieved though AutoResetEvent. Simple : Merely 8 KB in size. Pretty easy to use but addresses limited number of use cases.

  8. System.Threading.Tasks.TaskScheduler class

    The TaskScheduler class represents a task scheduler. A task scheduler ensures that the work of a task is eventually executed. The default task scheduler provides work-stealing for load-balancing, thread injection/retirement for maximum throughput, and overall good performance. It should be sufficient for most scenarios.

  9. Create a custom task with MSBuild

    In this tutorial, you'll create a custom task in MSBuild in C# that handles code generation, and then you'll use the task in a build. This example demonstrates how to use MSBuild to handle the clean and rebuild operations. The example also shows how to support incremental build, so that the code is generated only when the input files have changed.

  10. c#

    #region Initializing Schedulers var meetings = TaskManager.CreateScheduler (0, "Meeting Scheduler"); var jobs = TaskManager.CreateScheduler (1, "Work Scheduler"); #endregion #region EventHandler Registration meetings.Trigger += (sender, job) => Console.WriteLine (job.Name); jobs.Trigger += (sender, job) => Console.WriteLine (job.Name); #end...

  11. Customizing the TaskScheduler: Queue Your Task Work Items ...

    honey the codewitch Rate me: 4.20/5 (9 votes) 18 Jul 2020 MIT 10 min read 25.4K 530 7 35 Leveraging some less well known areas of the .NET Task framework to schedule tasks to execute on your own conditions. This article demonstrates the customization of the task scheduling algorithm .NET uses to run Task items.

  12. Using FluentScheduler with C# for Task Scheduling

    Custom Scheduling. In addition to the built-in scheduling options, you can create custom schedule definitions and implement the ISchedule interface: The scheduler will invoke GetNextRunTime() to determine the next run date/time for the schedule. Managing Jobs. Once jobs are scheduled, FluentScheduler provides ways to manage and monitor them:

  13. sashasyedin/custom-task-scheduler: A custom TaskScheduler in C#

    5 commits Failed to load latest commit information. CustomTaskScheduler.Example CustomTaskScheduler .gitignore CustomTaskScheduler.sln README.md README.md custom-task-scheduler A custom TaskScheduler in C# About A custom TaskScheduler in C# Readme Activity

  14. Essential C#: Task Schedulers and the Synchronization Context

    On occasion, this chapter has mentioned the task scheduler and its role in determining how to assign work to threads efficiently. Programmatically, the task scheduler is an instance of the System.Threading.Tasks.TaskScheduler.This class, by default, uses the thread pool to schedule tasks appropriately, determining how to safely and efficiently execute them—when to reuse them, dispose them ...

  15. Consuming the Task-based Asynchronous Pattern

    Otherwise, it relies on the task scheduler (TaskScheduler object) that was current at the time of suspension. Typically, this is the default task scheduler (TaskScheduler.Default), which targets the thread pool. This task scheduler determines whether the awaited asynchronous operation should resume where it completed or whether the resumption ...

  16. c#

    I'm interested in some feedback for a custom TaskScheduler implementation I wrote today for use on a game server - I wanted to be able to have a single-threaded scheduler for tasks since the game is relatively lightweight and its logic doesn't need to be multi-threaded. However, I wanted to handle networking/IO concurrently to avoid blocking the main thread running game logic, and still wanted ...

  17. c#

    using System; using Microsoft.Win32.TaskScheduler; class Program { static void Main (string [] args) { // Get the service on the local machine using (TaskService ts = new TaskService ()) { // Create a new task definition and assign properties TaskDefinition td = ts.NewTask (); td.RegistrationInfo.Description = "Does something"; // Cr...

  18. TaskScheduler.GetScheduledTasks Method (System.Threading.Tasks)

    This wrapper method returns an array of tasks instead of an enumerable. To retrieve a list of active schedulers, use the internal method internal static TaskScheduler [] GetTaskSchedulersForDebugger (). This static method returns an array of all active TaskScheduler instances. You can then use GetScheduledTasksForDebugger on each scheduler ...

  19. c#

    _queuedTaskScheduler = new QueuedTaskScheduler (TaskScheduler.Default, 3); _schedulers = new Dictionary<QueuedClientPriority, TaskScheduler> (); //Enumerate the priorities foreach (var priority in Enum.GetValues (typeof (QueuedClientPriority))) { _schedulers.Add ( (QueuedClientPriority)priority, _queuedTaskScheduler.ActivateNewQueue ( (int)...

  20. GitHub

    Implementation of a task scheduler in C#, with mechanism for deadlock avoidance and accessing shared resources (Banker's algorithm) - GitHub - chimarry/TaskScheduler: Implementation of a task scheduler in C#, with mechanism for deadlock avoidance and accessing shared resources (Banker's algorithm)