期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2017
卷号：6
期号：8
页码：1229-1233
出版社：Shri Pannalal Research Institute of Technolgy
摘要：In cloud computing, the applications and services are provided over the internet. The various users send requests for accessing resources and applications. Such large number of requests increase the load on the cloud. For balancing the load, an Improved Genetic Algorithm (IGA) has been introduced in this paper for allocating the user’s tasks to the virtual machines (VMs). The aim of this proposed algorithm is to maximize resource utilization and to minimize the task execution cost and energy consumption. All the tasks are assigned to the available VMs in such a way that load is balanced by distributing the dynamic workload across multiple virtual machines to ensure that no single VM is either over utilized or underutilized. The proposed algorithm is simulated using CloudSim toolkit.
关键词：Cloud computing; Load Balancing; Improved Genetic Algorithm; VM allocation.
