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Socially-responsible load scheduling algorithms for sustainable data centers over smart grid

机译:社会责任的负载调度算法,用于智能电网上的可持续数据中心

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Power consumption of data centers accounts for a significant portion of operational cost for service providers. However, it is not sufficient to minimize electricity cost only. Instead, service providers should also consider the sustainability of data centers. In this paper, we investigate the problem of socially-responsible load scheduling for sustainable data centers in a smart grid environment. We formulate the joint optimization of electricity cost, performance cost and social cost into a min-cost network flow model, which takes the diversity of regional electricity prices, user request latency, usage of renewable energy into account. We further propose both offline and online load scheduling algorithms to achieve the optimality of the objective cost function. Finally, a series of simulation experiments are conducted to evaluate the effectiveness of our proposed algorithms.
机译:数据中心的功耗占服务提供商运营成本的很大一部分。然而,仅使电力成本最小化是不够的。相反,服务提供商还应该考虑数据中心的可持续性。在本文中,我们研究了智能电网环境中可持续数据中心的社会责任负荷调度问题。我们将电力成本,性能成本和社会成本的联合优化公式化为最小成本网络流量模型,该模型考虑了地区电价的多样性,用户请求延迟,可再生能源的使用。我们进一步提出离线和在线负载调度算法,以实现目标成本函数的最优性。最后,进行了一系列仿真实验以评估我们提出的算法的有效性。

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