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首页> 外文期刊>IEEE Transactions on Parallel and Distributed Systems >Temporal Load Balancing with Service Delay Guarantees for Data Center Energy Cost Optimization
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Temporal Load Balancing with Service Delay Guarantees for Data Center Energy Cost Optimization

机译：具有服务延迟的时间负载均衡保证了数据中心能源成本的优化

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摘要

Cloud computing services are becoming integral part of people's daily life. These services are supported by infrastructure known as Internet data center (IDC). As demand for cloud computing services soars, energy consumed by IDCs is skyrocketing. Both academia and industry have paid great attention to energy management of IDCs. This paper studies an important energy management problem-how to minimize energy cost for IDCs in deregulated electricity markets. We propose a novel two-stage design and the eco-IDC (Energy Cost Optimization-IDC) algorithm to exploit the temporal diversity of electricity price and dynamically schedule workload to execute on IDC servers through an input queue. Extensive evaluation experiments are performed using real-life electricity price and workload traces at an enterprise production data center. The evaluation results demonstrate that the proposed approach significantly reduces energy cost for IDCs, guarantees a service delay bound, and alleviates workload drop if the service delay bound is sufficiently large.
机译：云计算服务已成为人们日常生活中不可或缺的一部分。这些服务由称为Internet数据中心（IDC）的基础结构支持。随着对云计算服务的需求猛增，IDC消耗的能源正在猛增。学术界和工业界都非常重视IDC的能源管理。本文研究了一个重要的能源管理问题，即如何在放松管制的电力市场中最大程度地降低IDC的能源成本。我们提出了一种新颖的两阶段设计和eco-IDC（能源成本优化-IDC）算法，以利用电价的时间多样性并动态调度工作量以通过输入队列在IDC服务器上执行。在企业生产数据中心使用真实的电价和工作量跟踪进行了广泛的评估实验。评估结果表明，如果服务延迟范围足够大，则该方法可显着降低IDC的能源成本，保证服务延迟范围，并减轻工作量下降。

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