Improving Cloud Computing Performance Using Task Scheduling Method Based on VMs Grouping

Abstract

The incredible rise of virtualization technology in cloud environments results the fostering workload which needs services provided by cloud resources. Task scheduling and Load balancing amongst the VMs and minimizing the makespan of the tasks are stimulating research concerns. In this paper, a method was introduced for scheduling workload based on VM grouping in cloud environments. The aim of the proposed method is improving cloud computing performance by reducing makespan and response time, and also through increasing VMs utilization. We evaluated the proposed algorithm with existing methods using various performance metrics. Evaluation results show that our proposed algorithm outperforms similar methods.