This paper presents Capriccio, a scalable thread package for use with high-concurrency servers. While recent work has advocated event-based systems, we believe that threadbased systems can provide a simpler programming model that achieves equivalent or superior performance.By implementing Capriccio as a user-level thread package, we have decoupled the thread package implementation from the underlying operating system. As a result, we can take advantage of cooperative threading, new asynchronous I/O mechanisms, and compiler support. Using this approach, we are able to provide three key features: (1) scalability to 100,000 threads, (2) efficient stack management, and (3) resource-aware scheduling.We introduce linked stack management, which minimizes the amount of wasted stack space by providing safe, small, and non-contiguous stacks that can grow or shrink at run time. A compiler analysis makes our stack implementation efficient and sound. We also present resource-aware scheduling, which allows thread scheduling and admission control to adapt to the system's current resource usage. This technique uses a blocking graph that is automatically derived from the application to describe the flow of control between blocking points in a cooperative thread package. We have applied our techniques to the Apache 2.0.44 web server, demonstrating that we can achieve high performance and scalability despite using a simple threaded programming model.
This paper presents Capriccio, a scalable thread package for use with high-concurrency servers. While recent work has advocated event-based systems, we believe that thread-based systems can provide a simpler programming model that achieves equivalent or superior performance.By implementing Capriccio as a user-level thread package, we have decoupled the thread package implementation from the underlying operating system. As a result, we can take advantage of cooperative threading, new asynchronous I/O mechanisms, and compiler support. Using this approach, we are able to provide three key features: (1) scalability to 100,000 threads, (2) efficient stack management, and (3) resource-aware scheduling.We introduce linked stack management , which minimizes the amount of wasted stack space by providing safe, small, and non-contiguous stacks that can grow or shrink at run time. A compiler analysis makes our stack implementation efficient and sound. We also present resource-aware scheduling , which allows thread scheduling and admission control to adapt to the system's current resource usage. This technique uses a blocking graph that is automatically derived from the application to describe the flow of control between blocking points in a cooperative thread package. We have applied our techniques to the Apache 2.0.44 web server, demonstrating that we can achieve high performance and scalability despite using a simple threaded programming model.
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