云计算数据中心服务器数量动态配置策略

卫星; 张建军; 石雷; 翟琰

doi:10.11999/JEIT141286

云计算数据中心服务器数量动态配置策略

doi: 10.11999/JEIT141286

2.
(合肥工业大学计算机与信息学院合肥 230009) ②(安全关键工业测控技术教育部工程研究中心合肥 230009)

基金项目:

国家自然科学基金(61370088)，国家国际科技合作专项项目(2014DFB10060)和中央高校基本科研业务费专项资金(2011HGBZ1321, 2012HGQC0012)

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- 被引次数: 0
出版历程
- 收稿日期: 2014-10-09
- 修回日期: 2015-04-16
- 刊出日期: 2015-08-19

Dynamic Active Servers Allocating Policy for Cloud Computing Data Centers

2.
(School of Computer and Information, Hefei University of Technology, Hefei 230009, China)

摘要

摘要: 云计算数据中心由通过高速网络连接的大量服务器构成，一种有效的节能措施是维持与系统负载成比例的活跃服务器数量同时切换剩余服务器到空闲模式，由此分别产生操作能耗和切换能耗。该文研究如何动态配置活跃服务器数量以最小化数据中心能耗(操作与切换能耗之和)的问题。首先，建立了问题的NP数学模型，并分析了无切换能耗情况下最优解的特性；其次，通过消除整数动态规划的递推过程，推导具有多项式复杂度的最优静态算法；最后，采用对未来负载的最坏预测结果作为约束制定了优化在线策略。仿真结果表明，所提出的静态最优和动态优化策略能够适应外界负载的剧烈变化趋势始终谨慎调整活跃服务器和休眠服务器的比例，以接近最优的能耗代价维持数据中心的平稳运行。
- 云计算 /
- 数据中心 /
- 活跃服务器 /
- 离线最优算法 /
- 动态规划 /
- 在线算法
Abstract: Cloud computing data centers generally consist of a large number of servers connected via high speed network. One promising approach to saving energy is to maintain enough active severs in proportion to system load, while switch left servers to idle mode whenever possible. Then operating cost and switching cost is brought about respectively. The problem of right-sizing active severs to minimize energy consumption (total cost of operating and switching) in data centers is discussed. Firstly, the NP-hard model is established, and the characteristics of the optimal solution when omitting the switching cost are analyzed. Then by revising the solution procedure carefully, the recursive procedure is successfully eliminated. The optimal static algorithm with polynomial complexity is achieved. Finally, the online strategy is developed using the worst predicting load as the constraints. Simulation results show that the proposed offline and online algorithm can adapt the dramatic trend of external load and always carefully adjust the proportion of active servers, to guarantee minimum power consumption with a smooth computing process.
- Cloud computing /
- Data center /
- Active servers /
- Offline optimal algorithm /
- Dynamic programming /
- Online algorithm

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参考文献(17)

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