Research on Resource Scheduling Based on Optimized Particle Swarm Optimization Algorithm in Cloud Computing Environment

2018 3rd International Conference on Insulating Materials, Material Application and Electrical Engineering

材料科学;无线电电子学;电工学

Qian, Lin^1 ; Wang, Lin^1 ; Xu, Mingjie^1 ; Yu, Jun^1 ; Zhu, Guangxin^1 ; Ling, Yang^1

State Grid Electric Power Research Institute (SGEPRI), Nanjing, China^1

关键词: Cloud computing environments;    Cloud computing platforms;    Multiple optimizations;    Particle swarm optimization algorithm;    Reducing energy consumption;    Resource distribution;    Resource utilizations;    Simulation framework;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/452/3/032136/pdf
DOI  :  10.1088/1757-899X/452/3/032136

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

Aiming at uneven resource distribution in cloud computing and bad distribution effect this paper proposes a resource scheduling strategy of cloud based on dynamic migration of virtual machine technology During the migration process, it firstly selected the virtual machine by considering the effect of migration and migration speed then determined the hotspots based on index smooth forecasting with window thinking It used the particle swarm optimization annealing thinking and long-term optimization goals in the process of migration to search optimal position By Clouds simulation framework the experiment simulated the appearances of the SLA violation rate, the rate of surplus resources energy and migration times The simulation results show that this method can achieve good results in multiple optimization goals of improving service quality, improving resource utilization and reducing energy consumption, and effectively improving the performance of cloud computing platform.