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eco-IDC: Trade Delay for Energy Cost with Service Delay Guarantee for Internet Data Centers

机译:ECO-IDC:互联网数据中心的服务延迟保证能源成本的贸易延迟

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Cloud computing services are becoming integral part of people's daily life. These services are supported by Internet data centers (IDCs). As demand for cloud computing services soars, energy consumed by IDCs is skyrocketing. This paper studies an energy management problem -- how to minimize energy cost for IDCs in deregulated electricity markets. While several existing works handle this problem by leveraging spatial diversity of electricity price, little has been done to address the temporal uncertainty in electricity price and arriving workload. This paper proposes a novel two-stage design and the eco-IDC (Energy Cost Optimization-IDC) algorithm to exploit temporal diversity of electricity price and dynamically schedule workload to execute on IDC servers through an input queue. Extensive evaluation experiments are performed to demonstrate that the proposed approach significantly reduces energy cost for IDCs, and guarantees a service delay bound for user requests.
机译:云计算服务正在成为人们日常生活的组成部分。这些服务由Internet数据中心(IDC)提供支持。随着对云计算服务的需求飙升,IDCS消耗的能量是暴涨的。本文研究了能源管理问题 - 如何最大限度地减少解除管制电力市场中IDC的能源成本。虽然一些现有的作品通过利用电价的空间多样性来处理这一问题,但已经完成了很少的事情,以解决电价和到达工作量的时间不确定性。本文提出了一种新颖的两级设计和ECO-IDC(能量优化-IDC)算法,用于利用电价的时间分集,通过输入队列在IDC服务器上动态调度工作负载。进行广泛的评估实验表明,所提出的方法显着降低了IDC的能源成本,并保证了对用户请求的服务延迟。

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