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    <p>If you need to throttle by time, you should check out <a href="http://quartznet.sourceforge.net/" rel="nofollow">Quartz.net</a>. It can facilitate consistent polling. If you care about all requests, you should consider using some sort of queueing mechanism. MSMQ is probably the right solution but there are many specific implementations if you want to go bigger and use an ESB like <a href="http://www.nservicebus.com/" rel="nofollow">NServiceBus</a> or <a href="http://www.rabbitmq.com/" rel="nofollow">RabbitMQ</a>.</p> <p>Update:</p> <p>In that case, TPL Dataflow is your preferred solution if you can leverage the CTP. A throttled BufferBlock is the solution.</p> <p>This example comes from the <a href="http://go.microsoft.com/fwlink/?LinkId=205053" rel="nofollow">documentation provided by Microsoft</a>:</p> <pre><code>// Hand-off through a bounded BufferBlock&lt;T&gt; private static BufferBlock&lt;int&gt; m_buffer = new BufferBlock&lt;int&gt;( new DataflowBlockOptions { BoundedCapacity = 10 }); // Producer private static async void Producer() { while(true) { await m_buffer.SendAsync(Produce()); } } // Consumer private static async Task Consumer() { while(true) { Process(await m_buffer.ReceiveAsync()); } } // Start the Producer and Consumer private static async Task Run() { await Task.WhenAll(Producer(), Consumer()); } </code></pre> <p>Update:</p> <p>Check out RX's <a href="http://msdn.microsoft.com/en-us/library/hh229400%28v=vs.103%29.aspx" rel="nofollow">Observable.Throttle</a>.</p>
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    1. POTask Parallel Library - Custom Task Schedulers
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    1. USDavid Peden
    1. USDavid Peden
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    1. COI wanted to keep everything in process so have ruled out queueing as a solution. I dont think Quartz is the right solution either, the scheduling is not the issue, its throttling the number of requests and being a bit smart about the calls that I make. Thanks for the suggestions though
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    2. CO@DarenFox I updated my answer based upon your feedback.
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      1. USDavid Peden
    3. CO@DarenFox How exactly does this prevent more than _N_ requests per second? Looks like you're only limiting to 10 concurrent outstanding calls, but obviously if the calls are faster than 10ms each that could exceed the per second restriction. FWIW, I was answering that TPL dataflow is probably the best way to go too, but you technically need a temporal BufferBlock implementation.
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      1. USDrew Marsh
 

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