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Profit-Aware Workload Management for Geo-Distributed Data Centers

机译:地理分布数据中心的获利工作负载管理

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摘要

With the rising demand on internet online services, more and more individuals and organizations migrate their data and services from local to geographically distributed internet data centers for reliability, management, and cost benefits. From internet data center operators' perspective, profit is one of the most significant factors which are to be taken into account and it is mainly determined by the quality of service and the electricity cost. In this work, we jointly take the diversity of time-varying electricity prices, the quality of service and the power usage effectiveness of data centers into consideration and propose a profit optimization framework that includes three important decisions: requests dispatching, the number of active servers and frequency adjustment. An efficient heuristic algorithm is then developed to provide internet data center operators with the advice on these decisions to achieve profit maximization for geographically distributed data centers. Through extensive trace-driven simulations, we demonstrate the effectiveness and superiority of our solution.
机译:随着对互联网在线服务需求的不断增长,越来越多的个人和组织将其数据和服务从本地迁移到地理分布的互联网数据中心,以提高可靠性,管理能力和成本效益。从互联网数据中心运营商的角度来看,利润是要考虑的最重要因素之一,它主要取决于服务质量和电费成本。在这项工作中,我们共同考虑了随时间变化的电价,服务质量和数据中心的用电效率,并提出了一个包括三个重要决策的利润优化框架:请求调度,活动服务器的数量和频率调整。然后,开发了一种有效的启发式算法,以向Internet数据中心运营商提供有关这些决策的建议,以实现地理分布的数据中心的利润最大化。通过广泛的跟踪驱动模拟,我们证明了我们解决方案的有效性和优越性。

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