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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等待免费数据结构的多核处理器的缓存公平线程调度的实现

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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:作为具有数十或数百个核心的多核处理器开始增长,系统优化问题曾仅面对高性能计算(HPC)。为了满足要求,可以利用多核架构来并行化流量监控,以便在传统的Uni-Processor架构上进行信息处理能力。在本文中,提出了一种有效的调度框架,用于多核处理器的控制,该多核处理器在对系统的控制和高性能计算的有效网络流量控制机制之间进行平衡。在所提出的缓存公平线程调度(CFT)中,用户提供的信息以指导线程调度以及必要时,在必要时给出程序员对线程放置的微量控制。云计算最近受到了相当长的关注,作为通过改善数据中心资源的利用率来提供网络交通服务的有希望的方法。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。框架的结果目的是提高公平,以便每个线程继续取得良好的前瞻性进展。实验结果表明,并行CFT不仅可以提高处理速率,而且还可以对云计算重要的稳定性保持良好的性能。这使其成为云计算的有效网络流量控制机制。

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