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首页> 外文期刊>Parallel and Distributed Systems, IEEE Transactions on >Joint Workload and Battery Scheduling with Heterogeneous Service Delay Guaranteesfor Data Center Energy Cost Minimization
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Joint Workload and Battery Scheduling with Heterogeneous Service Delay Guaranteesfor Data Center Energy Cost Minimization

机译:具有异构服务延迟保证的联合工作负荷和电池调度,可最大程度地降低数据中心的能源成本

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摘要

In this paper, we investigate the problem of minimizing the long-term energy cost for an Internet data center (IDC) in deregulated electricity markets. Specifically, IDC operators intend to minimize energy cost by scheduling workload and battery jointly, which can fully exploit the temporal diversity of electricity price. First, we formulate a stochastic optimization problem takingheterogeneous service delay guarantees and battery management into account. Then, we design an online operation algorithm to solve the problem based on Lyapunov optimization technique. Meanwhile, we analyze the feasibility and performance guarantee of the proposed algorithm. Finally, extensive simulation results based on real-world data show the effectiveness of the proposed algorithm.
机译:在本文中,我们研究了在管制放松的电力市场中将互联网数据中心(IDC)的长期能源成本降至最低的问题。具体来说,IDC运营商打算通过联合安排工作量和电池来最大程度地降低能源成本,从而可以充分利用电价的时间多样性。首先,考虑服务延迟异构和电池管理的异质性,提出了一个随机优化问题。然后,基于李雅普诺夫优化技术,设计了一种在线运算算法来解决该问题。同时,我们分析了该算法的可行性和性能保证。最后,基于实际数据的大量仿真结果证明了该算法的有效性。

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