基于工作负载预测的虚拟机整合算法.pdfVIP

第35 卷第6 期 电 子 与 信 息 学 报 Vol.35No.6 2013 年6 月 Journal of Electronics Information Technology Jun. 2013 基于工作负载预测的虚拟机整合算法 魏 亮 黄 韬* 陈建亚 刘韵洁 (北京邮电大学泛网无线通信教育部重点实验室 北京 100876) 摘 要：针对云计算环境下满足负载均衡、自动伸缩、绿色节能等需求时所面临的虚拟机(VM)迁移问题，该文设 计一种面向云计算基础设施基于工作负载预测的整合调度算法。通过有机结合基于工作负载预测的主动控制技术和 基于实际系统状态信息的被动控制技术，并采用指数平滑预测模型预测未来时刻的工作负载情况，提出虚拟机选择 阶段最大未来工作负载优先和虚拟机安置阶段比较资源需求队列的虚拟机整合算法。仿真表明，该算法利用基于预 测的资源整合方式减少了服务器使用量、虚拟机迁移次数和服务等级协议违例次数，有效提升了以数据中心为核心 的云基础设施整体资源利用率。 关键词：云计算；基础设施即服务；工作负载预测；虚拟机整合 中图分类号：TP393 文献标识码： A 文章编号：1009-5896(2013)06-1271-06 DOI: 10.3724/SP.J.1146.2012.01131 Workload Prediction-based Algorithm for Consolidation of Virtual Machines Wei Liang Huang Tao Chen Jian-ya Liu Yun-jie (Key Laboratory of Universal Wireless Communications of Ministry of Education, Beijing University of Posts and Telecommunications, Beijing 100876, China) Abstract: For issue of Virtual Machine (VM) migration in cloud computing environment when it comes to meeting the demands of load balancing, auto scaling, green energy-saving, etc. This paper design a scheduling algorithm that is cloud computing infrastructures oriented and workload prediction based. By organically integrating the active control technology based on workload prediction and the passive control technology based on status information of actual system, as well as with the exponential smoothing prediction model to predict the workload condition in future time, a VM consolidation algorithm is put forward which takes the maximum future workload as first in the VM selection stage and compares the resource