RISO: Relaxed network-on-chip isolation for cloud processors

Hang Lu, Guihai Yan, Yinhe Han, Binzhang Fu, Xiaowei Li
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引用次数: 9

Abstract

Cloud service providers use workload consolidation technique in many-core cloud processors to optimize system utilization and augment performance for ever extending scale-out workloads. Performance isolation usually has to be enforced for the consolidated workloads sharing the same many-core resources. Networks-on-chip (NoC) serves as a major shared resource, also needs to be isolated to avoid violating performance isolation. Prior work uses strict network isolation to fulfill performance isolation. However, strict network isolation either results in low consolidation density, or complex routing mechanisms which indicates prohibitive high hardware cost and large latency. In view of this limitation, we propose a novel NoC isolation strategy for many-core cloud processors, called relaxed isolation (RISO). It permits underutilized links to be shared by multiple applications, at the same time keeps the aggregated traffic in check to enforce performance isolation. The experimental results show that the consolidation density is improved more than 12% in comparison with previous strict isolation scheme, meanwhile reducing network latency by 38.4% on average.
RISO:用于云处理器的放松的片上网络隔离
云服务提供商在多核云处理器中使用工作负载整合技术来优化系统利用率,并为不断扩展的横向扩展工作负载提高性能。通常必须对共享相同多核资源的合并工作负载实施性能隔离。片上网络(NoC)作为主要的共享资源,也需要隔离,以避免违反性能隔离。以前的工作使用严格的网络隔离来实现性能隔离。然而,严格的网络隔离要么导致低整合密度,要么导致复杂的路由机制,这意味着过高的硬件成本和大延迟。鉴于这一限制,我们提出了一种新的多核云处理器NoC隔离策略,称为放松隔离(RISO)。它允许多个应用程序共享未充分利用的链接,同时对聚合流量进行检查,以加强性能隔离。实验结果表明,与之前的严格隔离方案相比,合并密度提高了12%以上,同时平均降低了38.4%的网络延迟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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