通过节能分配策略最大化云提供商的收入

M. Mazzucco, D. Dyachuk, R. Deters
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引用次数: 154

摘要

亚马逊(Amazon)等云计算提供商将其数据中心的计算和存储能力出租给付费客户。与运行数据中心相关的高电力消耗不仅反映了其碳足迹,而且还增加了运行数据中心本身的成本。本文讨论了如何通过降低云计算提供商的电力成本来实现其收入最大化。作为一种解决方案,介绍并评估了基于服务器动态开机和关机的分配策略。这些政策旨在满足最大化用户体验和最小化耗电量这两个相互冲突的目标。数值实验和仿真结果表明,该方案在不同交通条件下均具有良好的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Maximizing Cloud Providers' Revenues via Energy Aware Allocation Policies
Cloud providers, like Amazon, offer their data centers' computational and storage capacities for lease to paying customers. High electricity consumption, associated with running a data center, not only reflects on its carbon footprint, but also increases the costs of running the data center itself. This paper addresses the problem of maximizing the revenues of Cloud providers by trimming down their electricity costs. As a solution allocation policies which are based on the dynamic powering servers on and off are introduced and evaluated. The policies aim at satisfying the conflicting goals of maximizing the users' experience while minimizing the amount of consumed electricity. The results of numerical experiments and simulations are described, showing that the proposed scheme performs well under different traffic conditions.
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