通信学报2017，Vol.38Issue(12)：10-20,11.DOI:10.11959/j.issn.1000-436x.2017298
融合双速率和工作休眠的虚拟机调度策略及参数优化
Virtual machine scheduling strategy based on dual-speed and work vacation mode and its parameter optimization
摘要
Abstract
Due to the increasingly strict environmental standards,high pollution and high energy consumption have be-come the significant factors restricting the development of cloud data centers(CDC).Under the premise of guaranteeing the quality of service(QoS)of CDC,dynamic power management(DPM)technology was applied,synchronous multiple working sleep mode was introduced,and a novel virtual machine(VM)scheduling strategy was proposed.By establish-ing a two-dimensional continuous-time Markov stochastic model with adaptive service rate and synchronous multiple work vacations,and using the method of a matrix geometric solution,the performance of the VM scheduling strategy was evaluated in terms of energy saving level and average delay of requests.Numerical results with analysis and simulation verify the energy saving effectiveness of the VM scheduling strategy.In order to achieve a reasonable balance between the response performance and the energy-saving effect,a system utility function was constructed from the perspective of economics and design a researching algorithm of the sleep parameter based on the firefly algorithm(FA).关键词
云数据中心/虚拟机调度策略/双速率/多重工作休假排队/效用函数/智能优化Key words
cloud data centers/virtual machine scheduling strategy/dual-speed/multiple working vacations queue/utility function/intelligent optimization分类
信息技术与安全科学引用本文复制引用
金顺福,郝闪闪,王宝帅..融合双速率和工作休眠的虚拟机调度策略及参数优化[J].通信学报,2017,38(12):10-20,11.基金项目
国家自然科学基金资助项目(No.61472342) （No.61472342）
河北省自然科学基金资助项目(No.F2017203141)The National Natural Science Foundation of China (No.61472342),The Natural Science Foundation of Hebei Province (No.F2017203141) （No.F2017203141）
