山西大学学报（自然科学版）2024，Vol.47Issue(5)：943-953,11.DOI:10.13451/j.sxu.ns.2023155
基于Min(c,V)唤醒机制和活跃阈值的云虚拟机调度优化
Scheduling Optimization of Cloud Virtual Machines Based on Min(c,V)Wake-up Mechanism and Active Threshold
摘要
Abstract
In order to meet the demand of cloud users for system response performance and further improve the energy saving level of cloud system,this paper proposes a new virtual machine(VM)scheduling policy.When VMs are in the sleep state,once the num-ber of cloud tasks in the buffer exceeds the number of service stations c or the sleep timer ends,all VMs immediately stop sleeping and enter the wakeup state.Moreover,at the end of the wake-up period,if the number of waiting cloud tasks in the buffer reaches the threshold N,the VMs are transferred from the wake-up state to the active state.Otherwise,they are transferred to the idle state to wait for cloud tasks to arrive.Based on the above background,a multi-server queuing model with variable arrival rate and Min(c,V)mechanism and active threshold N is constructed.The steady-state performance indices of the cloud system are derived by using ma-trix-geometric solution method,and a reasonable benefit function is constructed to discuss the profit problem of the cloud system.Fi-nally,the effectiveness of the proposed policy is verified by comprehensive numerical analysis.关键词
云计算/唤醒机制/Min(c,V)策略/活跃阈值优化Key words
cloud computing/wake-up mechanism/Min(c,V)policy/active threshold optimization分类
信息技术与安全科学引用本文复制引用
李梦桃,徐秀丽..基于Min(c,V)唤醒机制和活跃阈值的云虚拟机调度优化[J].山西大学学报（自然科学版）,2024,47(5):943-953,11.基金项目
国家自然科学基金项目(62171143) （62171143）
