Why is the Asynchronous mode is better than the Synchronous one when handling clients requests?

探讨异步请求在处理并发任务时的性能优势,包括利用操作系统的支持如重叠I/O和完成端口来减少线程开销,以及在.NET框架中如何通过BeginXxx()方法充分利用这一特性。同时,分析异步代码在错误处理方面的挑战,指出在某些场景下同步模式的必要性。

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http://stackoverflow.com/questions/3161916/why-is-the-asynchronous-mode-is-better-than-the-synchronous-one-when-handling-cl


Yes, asynchronous requests can often be handled without the expense of a thread. The operating system has special support for them, features like overlapped I/O and completion ports. What they essentially do is leverage the expense of a kernel thread, one that's needed anyway because a driver needs to be able to handle multiple requests from multiple user mode programs. The .NET framework readily takes advantage of that in its BeginXxx() methods.

Using threadpool threads is cheap too, but you are subject to the behavior of the threadpool scheduler. Which doesn't much like starting more TP threads then there are cores. TP threads should never be used for code that can stay blocked for a while, pretty typical for CS tasks like making a connection.

Error handling is very difficult in asynchronous code. You typically have very little context when the EndXxxx() method raises an exception. It happens on a callback thread, very far away from the main logic. Okay when you can shrug "didn't happen, lets log it", total bedlam and redrum when the program's state depends on it. Always choose synchronous mode in the latter case.


内容概要:该论文探讨了一种基于粒子群优化(PSO)的STAR-RIS辅助NOMA无线通信网络优化方法。STAR-RIS作为一种新型可重构智能表面,能同时反射和传输信号,与传统仅能反射的RIS不同。结合NOMA技术,STAR-RIS可以提升覆盖范围、用户容量和频谱效率。针对STAR-RIS元素众多导致获取完整信道状态信息(CSI)开销大的问题,作者提出一种在不依赖完整CSI的情况下,联合优化功率分配、基站波束成形以及STAR-RIS的传输和反射波束成形向量的方法,以最大化总可实现速率并确保每个用户的最低速率要求。仿真结果显示,该方案优于STAR-RIS辅助的OMA系统。 适合人群:具备一定无线通信理论基础、对智能反射面技术和非正交多址接入技术感兴趣的科研人员和工程师。 使用场景及目标:①适用于希望深入了解STAR-RIS与NOMA结合的研究者;②为解决无线通信中频谱资源紧张、提高系统性能提供新的思路和技术手段;③帮助理解PSO算法在无线通信优化问题中的应用。 其他说明:文中提供了详细的Python代码实现,涵盖系统参数设置、信道建模、速率计算、目标函数定义、约束条件设定、主优化函数设计及结果可视化等环节,便于读者理解和复现实验结果。此外,文章还对比了PSO与其他优化算法(如DDPG)的区别,强调了PSO在不需要显式CSI估计方面的优势。
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