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Datacenter net profit optimization with deadline dependent pricing

机译:数据中心的净利润优化与截止日期相关的定价

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This paper considers deadline dependent pricing and its impact to datacenter net profit optimization. We formulate the problem by jointly maximizing total revenue as a function of individual job deadlines and minimizing electricity cost through job scheduling over different time and locations. These two complementary objectives-the maximization of revenue and the minimization of cost-are mutually-dependent due to the coupling of job completion time and scheduling decisions. Lever-aging a new approximation method for job completion time, we develop two low-complexity, distributed algorithms for the net profit optimization. Through numerical evaluations, we show the efficacy of the proposed algorithms as well as the net profit improvements.
机译:本文考虑了截止日期相关的定价及其对数据中心净利润优化的影响。通过联合根据各个工作截止日期使总收入最大化并通过在不同时间和位置进行工作调度来使电力成本最小化,来制定问题。由于工作完成时间和计划决策的耦合,这两个互补的目标(收益最大化和成本最小化)是相互依赖的。利用一种新的近似方法来完成工作,我们开发了两种低复杂度的分布式算法来优化净利润。通过数值评估,我们证明了所提出算法的有效性以及净利润的提高。

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