Willow: A Control System for Energy and Thermal Adaptive Computing

K. Kant, M. Murugan, D. Du
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引用次数: 29

Abstract

The increasing energy demand coupled with emerging sustainability concerns requires a re-examination of power/thermal issues in data centers from the perspective of short term energy deficiencies. Such energy deficient scenarios arise for a variety of reasons including variable energy supply from renewable sources and inadequate power, thermal and cooling capacities. In this paper we propose a hierarchical control scheme to adapt assignments of tasks to servers in a way that can cope with the varying energy limitations and still provide necessary QoS. The rescheduling of tasks on different servers has direct (migration related) and indirect (changed traffic patterns) network energy impacts that we also consider. We show the stability of our scheme and evaluate its performance via detailed simulations and experiments.
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一种能量和热自适应计算控制系统
不断增长的能源需求加上新兴的可持续性问题,需要从短期能源不足的角度重新审查数据中心的电力/热问题。造成这种能源短缺情况的原因多种多样,包括可再生能源的能源供应不稳定以及电力、热和制冷能力不足。在本文中,我们提出了一种分层控制方案,以适应任务分配到服务器的方式,可以应付不同的能量限制,仍然提供必要的QoS。在不同服务器上重新调度任务具有直接(与迁移相关)和间接(改变流量模式)的网络能量影响,我们也考虑了这一点。通过详细的仿真和实验证明了该方案的稳定性,并对其性能进行了评价。
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