Exponential gravitational search algorithm-based VM migration strategy for load balancing in cloud computing

作     者：Vijayakumar Polepally K.Shahu Chatrapati 

作者机构：Department of Computer Science and Engineering Kakatiya Institute of Technology and Science WarangalTelanganaIndia Department of Computer Science and Engineering JNTUH College of EngineeringManthani KarimnagarTelanganaIndia 

出 版 物：《International Journal of Modeling, Simulation, and Scientific Computing》 (建模、仿真和科学计算国际期刊（英文）)

年 卷 期：2018年第9卷第1期

页      面：96-124页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Cloud computing load balancing VM migration strategy exponential gravitational search algorithm exponential weighted moving average 

摘      要：With the advancement in the science and technology,cloud computing has become a recent trend in environment with immense requirement of infrastructure and *** balancing of cloud computing environments is an important matter of *** migration of the overloaded virtual machines(VMs)to the underloaded VM with optimized resource utilization is the effective way of the load *** this paper,a new VM migration algorithm for the load balancing in the cloud is *** migration algorithm proposed(EGSA-VMM)is based on exponential gravitational search algorithm which is the integration of gravitational search algorithm and exponential weighted moving average *** our approach,the migration is done based on the migration cost and *** experimentation of proposed EGSA-based VM migration algorithm is compared with ACO and *** simulation of experiments shows that the proposed EGSA-VMM algorithm achieves load balancing and reasonable resource utilization,which outperforms existing migration strategies in terms of number of VM migrations and number of SLA violations.