Power consumption management under a low-level performance constraint in the Xen hypervisor

Power consumption management under a low-level performance constraint in the Xen hypervisor
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Xen 虚拟机管理程序中低级性能约束下的功耗管理

DOI:
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发表时间:
2020
期刊:
SIGBED Rev.
影响因子:
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通讯作者:
M. D. Santambrogio
M. D. Santambrogio
中科院分区:
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文献类型:
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作者:
Rolando Brondolin;Marco Arnaboldi;M. D. Santambrogio

文献摘要

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虚拟化是从嵌入式计算到大规模数据中心的许多架构和系统的主要构建块。高效管理计算资源及其功耗对于优化这些系统上运行的工作负载的性能至关重要,但是,英特尔RAPL等硬件工具只能引入功耗上限,而不会考虑性能。本文提出了一种性能感知的Xen虚拟机管理程序的功率封顶协调器。该工具利用混合电源管理技术,以最大限度地减少功耗尊重给定的SLA,利用RAPL和克服其局限性。实验评估表明,所提出的方法保证了良好的结果,几乎所有的分析基准(如CPU,内存和IO限制)。
Virtualization is the main building block of many architectures and systems from embedded computing to large scale data-centers. Managing efficiently computing resources and their power consumption becomes fundamental to optimize the performance of the workloads running on those systems, however, hardware tools like Intel RAPL can only introduce power caps without considering performance. This paper presents a performance-aware power capping orchestrator for the Xen hypervisor. The tool exploits hybrid power management techniques to minimize power consumption respecting a given SLA, leveraging RAPL and overcoming its limitations. Experimental evaluation shows that the proposed approach guarantees good results for almost all the analyzed benchmarks (e.g. CPU-, memory- and IO-bound).