A Workload-aware Resources Scheduling Method for Virtual Machine
Hongshan Qu, Xiaodong Liu, Huating Xu · International Journal of Grid and Distributed Computing · 2015
Virtualization-based cloud computing platforms allow multiple virtual machines (VMs) running on the same physical machine.Efficient allocation of limited underlying resources has been a key issue.In order to improve the CPU resources utilization, this paper presents a workload-aware CPU resources scheduling method (WARS).WARS uses the allocated credits and consumed credits to diagnose the CPU resources requirements of VMs and dynamically adjusts CPU resources according to the requirements of VMs.The adjustment of CPU resources is converted into increased or decreased weights of VMs.The implementation of WARS is confined to the VMM layer, without VM dependency.Our evaluation shows that WARS can improve the overall utilization of CPU resources.