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Implementation of Cache Fair Thread Scheduling for multi core processors using wait free data structures in cloud computing applications

机译:在云计算应用程序中使用无等待数据结构为多核处理器实现高速缓存公平线程调度

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As multi-core processors with tens or hundreds of cores begin to grow, system optimization issues once faced only by the High-Performance Computing (HPC). To satisfy the requirement, one can leverage multi-core architectures to parallelize traffic monitoring so as to progress information processing capabilities over traditional uni-processor architectures. In this paper an effective scheduling framework for multi-core processors that strike a balance between control over the system and an effective network traffic control mechanism for high-performance computing is proposed. In the proposed Cache Fair Thread Scheduling (CFTS), information supplied by the user to guide threads scheduling and also, where necessary, gives the programmer fine control over thread placement. Cloud computing has recently received considerable attention, as a promising approach for delivering network traffic services by improving the utilization of data centre resources. The primary goal of scheduling framework is to improve application throughput and overall system utilization in cloud applications. The resultant aim of the framework is to improve fairness so that each thread continues to make good forward progress. The experimental results show that the parallel CFTS could not only increase the processing rate, but also keep a well performance on stability which is important for cloud computing. This makes, it an effective network traffic control mechanism for cloud computing.
机译:随着具有数十个或数百个内核的多核处理器开始增长,曾经仅高性能计算(HPC)面临的系统优化问题。为了满足需求,可以利用多核体系结构来并行化流量监视,从而在传统的单处理器体系结构上提高信息处理能力。本文提出了一种有效的多核处理器调度框架,该框架在系统控制和用于高性能计算的有效网络流量控制机制之间取得平衡。在提出的“高速缓存公平线程调度”(CFTS)中,用户提供的信息可指导线程调度,并且在必要时还可以使程序员更好地控制线程放置。云计算作为一种通过改善数据中心资源的利用率来提供网络流量服务的有前途的方法,最近受到了广泛的关注。调度框架的主要目标是提高云应用程序中的应用程序吞吐量和整体系统利用率。该框架的最终目标是提高公平性,以便每个线程继续取得良好的进步。实验结果表明,并行CFTS不仅可以提高处理速度,而且可以保持良好的稳定性,这对于云计算很重要。这使其成为一种有效的云计算网络流量控制机制。

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