并行执行的Web服务调用 [英] Executing web-service calls in parallel

问题描述

我看到这些问题的<一个href="http://stackoverflow.com/questions/1976073/recommendations-for-executing-net-httpwebrequests-in-parallel-in-asp-net">Recommendations在ASP.NET 和<一个执行.NET HttpWebRequests并行href="http://stackoverflow.com/questions/2477931/async-parallel-or-array-parallel-map">Async.Parallel或Array.Parallel.Map 从大约一年前，想知道是否从他们的建议仍然有效，或者如果有现在的任务并行库。

I saw these questions Recommendations for executing .NET HttpWebRequests in parallel in ASP.NET and Async.Parallel or Array.Parallel.Map from about a year ago and was wondering if the advice from them still stands or if there's now a better approach with Task Parallel Library.

我的情况更接近第二个问题，但我只需要打，而不是同一台3000倍10（ISH）不同的网络服务。由于这是一个Web应用程序，并那种要求放大更改建议的方法呢？有没有更好的方式来走？我怎么也能期待这样的规模随着用户数量的增加？

My case is closer to the second question, except I only need to hit 10(ish) different web-services instead of the same one 3000 times. As this is a web application, does that kind of request amplification change the suggested approach? Is there a better approach to take? How well can I expect something like this to scale as the number of users increases?

的几个注意事项：

• 在缓存的结果将是下一个实现细节，但我想获得的基本功能工作的第一个
• 在每个Web服务的回报非常少的数据（下KB），最长的一次时间不超过3秒钟返回，我相信大多就是延迟（产生的结果不计算成本）
• 从客户端调用网络服务将无法正常工作（我不认为），因为有些是在不同的域
• 无论是C＃F＃实现将工作作为理想，这将抽象出来一个方法调用，需要一个字符串并返回的集合字符串取值

• Caching results will be the next implementation detail, but I would like to get the base functionality working first
• Each web-service returns very little data (under a kb), longest one takes no more than 3 seconds to return and I believe most of that is latency (generating results not computationally expensive)
• Calling web-services from the client won't work (I don't think) as some are in different domains
• Either C# of F# implementation would work as ideally this will be abstracted away to a method call that takes a string and returns a collection of strings

推荐答案

您可以找到相关的讨论：<一href="http://stackoverflow.com/questions/4310997/how-to-achieve-asynchrony-instead-of-parallelism-in-f">Async而不是并行

You might find this discussion relevant:Async instead of Parallel

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