通过能源感知分配策略最大化云提供商收入
Maximizing Cloud Providers Revenues via Energy Aware Allocation Policies
摘要：
像亚马逊这样的云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。本文讨论了通过削减电力成本来最大化云提供商收入的问题。作为一个解决方案，分配政策的基础上，服务器的动态电源和关闭的介绍和评估。这些策略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，该方案在不同的交通条件下表现良好。
英文摘要：
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.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
