An Optimal Hysteretic Control Policy for Energy Saving in Cloud Computing
An Optimal Hysteretic Control Policy for Energy Saving in Cloud Computing
复制标题
云计算节能的最优滞环控制策略
DOI：
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发表时间：
2011
期刊：
影响因子：
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通讯作者：
Dawei Huang
中科院分区：
文献类型：
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作者：
Zexi Yang;Meng;Z. Niu;Dawei Huang
信息与通信技术（ICT）产业由于其爆炸性增长，已成为世界能源消耗的主要来源之一。因此，ICT产业的节能问题受到了更多关注。同时，云计算正在成为一种对ICT产业具有深远影响的颠覆性技术。它的出现实现了按需提供资源即服务。在本文中，我们研究云计算中的节能问题。在一个数据中心有多个数据服务器处理任务的场景中，在低流量负载期间将服务器切换到睡眠模式以降低能耗，同时在任务阻塞概率方面保证服务质量。该问题被表述为一个马尔可夫决策过程。证明了最优策略具有双阈值结构。数值和仿真结果表明，我们提出的策略可以显著降低能耗。
The information and communication technology (ICT) industry has emerged as one of the major sources of world energy consumption due to its explosive growth. As a result, energy saving in ICT industry has attracted more attention. Meanwhile, cloud computing is becoming a disruptive technology with profound implications for ICT industry. Its emergence promises the on-demand provisioning of resources as a service. In this paper, we study the energy saving issue in cloud computing. In a scenario where a data center has multiple data servers to deal with jobs, the servers are switched into sleeping mode in periods of low traffic load to reduce energy consumption while guaranteeing the quality of service in terms of job blocking probability. The problem is formulated as a Markov decision process. It is proved that the optimal policy has a double threshold structure. Numerical and simulation results show that our proposed policy can significantly reduce the energy consumption.