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PI-RATE: QoS and Performance Management in CMP Architectures

机译:PI-RATE:CMP体系结构中的QoS和性能管理

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摘要

As new multi-threaded usage models such as virtualization and consolidation take advantage of multiple cores in CMP architectures, the impact of shared resource contention between VMs and user-level applications introduces Quality of Service(QoS) concerns and challenges. QoS-aware management of these shared platform resources is therefore becoming increasingly important. Various QoS schemes for resource management have been recently proposed, but most of these prior efforts have been focused on controlling individual resource allocation based on priority information passed down from the OS or Hypervisor to system resources. The complexity of this approach increases when multiple levels of resources are associated with an application's performance and power consumption. In this paper we employ simpler rate-based QoS mechanisms which control the execution rate of competing applications. To enable differentiation between simultaneously running applications' performance and power consumption, these rate mechanisms need to dynamically adjust the execution of application. Our proposed PI-RATE architecture introduces a control-theoretic approach to dynamically adjust the execution rate of each application based on the QoS target and monitored resource utilization. We evaluate three modes of PI-RATE architecture - cache QoS targets, performance QoS targets and power QoS targets - to show that the PI-RATE architecture is flexible and effective at enabling QoS in a CMP platform.
机译:随着新的多线程使用模型(例如虚拟化和整合)利用CMP体系结构中的多个内核,VM和用户级应用程序之间共享资源争用的影响引入了服务质量(QoS)问题和挑战。因此,这些共享平台资源的QoS感知管理变得越来越重要。最近已经提出了用于资源管理的各种QoS方案,但是这些现有技术中的大多数已经集中在基于从OS或Hypervisor传递到系统资源的优先级信息来控制单个资源分配。当多个资源级别与应用程序的性能和功耗相关联时,此方法的复杂性会增加。在本文中,我们采用了更简单的基于速率的QoS机制,该机制控制竞争应用程序的执行速率。为了区分同时运行的应用程序的性能和功耗,这些速率机制需要动态调整应用程序的执行。我们提出的PI-RATE体系结构引入了一种控制理论方法,可基于QoS目标和受监控的资源利用率动态调整每个应用程序的执行率。我们评估了PI-RATE体系结构的三种模式-高速缓存QoS目标,性能QoS目标和功率QoS目标-以表明PI-RATE体系结构在启用CMP平台中的QoS方面既灵活又有效。

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