首页> 外文会议>Distributed Computing Systems, 2009. ICDCS '09 >PADD: Power Aware Domain Distribution
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PADD: Power Aware Domain Distribution

机译:PADD:功率感知域分配

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Modern data centers usually have computing resources sized to handle expected peak demand, but average demand is generally much lower than peak. This means that the systems in the data center usually operate at very low utilization rates. Past techniques have exploited this fact to achieve significant power savings, but they generally focus on centrally managed, throughput-oriented systems that process a single fine-grained request stream. We propose a more general solution - a technique to save power by dynamically migrating virtual machines and packing them onto fewer physical machines when possible. We call our scheme power-aware domain distribution (PADD). In this paper, we report on simulation results for PADD and demonstrate that the power and performance changes from using PADD are primarily dependent on how much buffering or reserve capacity it maintains. Our adaptive buffering scheme achieves energy savings within 7% of the idealized system that has no performance penalty. Our results also show that we can achieve an energy savings up to 70% with fewer than 1% of the requests violating their service level agreements.
机译:现代数据中心通常具有计算资源的大小,可以处理预期的高峰需求,但平均需求通常远低于高峰。这意味着数据中心中的系统通常以非常低的利用率运行。过去的技术已经利用这一事实来实现显着的节能效果,但是它们通常集中于处理单个细粒度请求流的集中管理,面向吞吐量的系统。我们提出了一种更通用的解决方案-一种通过动态迁移虚拟机并在可能的情况下将其打包到更少的物理机上来节省电量的技术。我们称该方案为功率感知域分发(PADD)。在本文中,我们报告了P​​ADD的仿真结果,并证明了使用PADD带来的功耗和性能变化主要取决于其保持的缓冲或保留容量。我们的自适应缓冲方案在理想性能的系统中节省了7%的能源,而不会降低性能。我们的结果还表明,只要违反其服务水平协议的请求数量不到1%,我们就可以节省多达70%的能源。

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