Elastic scheduling to maximize VM resource utilization constrained to system stability sensitivity

Article type: Research Article

Authors: Luo, Hongxuan^{a; *} | Wei, Ling^b | Pan, Tingzhe^a | Li, Xiang^b

Affiliations: [a] China Southern Power Grid Research Institute Co., Ltd, China | [b] Electric Power Research Institute, Yunnan Power Grid Co., Ltd, China

Correspondence: [*] Corresponding author: Hongxuan Luo, China Southern Power Grid Research Institute Co., Ltd, China. E-mail: 735708067@qq.com.

Abstract: Considering the limitation of computing resources, resource over-reserving, and virtual machine stability, this paper proposes an adaptive dynamic management method for virtual machine resources in cloud/fog computing system. The cloud/fog computing task processing process is modeled in the case of the resource constraints in cloud or fog computing node. According to the tradeoff of resource utilization efficiency and system stability, the virtual machine resources are scheduled elastically to realize the on-demand use of cloud/fog computing resources. The experimental results show that the proposed method can effectively improve the resource efficiency of cloud/fog computing and guarantee the quality of service under the dynamic task workload.

Keywords: Fog/cloud computing, resource scheduling, on-demand use, quality of service guarantee

DOI: 10.3233/JCM-226202

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 22, no. 6, pp. 2267-2278, 2022