WARS: A workload-aware CPU resources scheduling for the cloud computing environment
Chao Shen, Xiaodong Liu, Weiqin Tong · Advanced science and technology letters · 2014
Virtualization-based cloud computing platforms allow mul- tiple virtual machines (VMs) running on the same physical machine. Efficient allocation of limited underlying resources has been a key is- sue.This paper presents a workload-aware CPU resources scheduling method (WARS). WARS uses the allocated credits and consumed cred- its to diagnose the CPU resources requirements of VMs and dynamical- ly adjusts CPU resources according to the requirements of VMs. The adjustment of CPU resources is converted into increased or decreased weights of VMs.