A Hybrid MinMin & Round Robin Approach for Task Scheduling in Cloud Computing

Abstract

Cloud computing refers to the ability of using and sharing remote system resources over the internet. Task scheduling can be considered as one of major challenges of QoS which tries to distribute tasks to Virtual Machines (VMs) in an efficient manner. This paper offers a Hybrid Min-Min and Round Robin (RR) scheduling algorithm (HMMRR) of traditional algorithms for improving resource utilization and system performance through minimizing makespan (execution time) of all VMs and reducing average of response time (starvation) as well as waiting time of the system. The proposed algorithm has been compared with other existing algorithms such as RR, Min-Min and Max-Min where the experimental results show that the HMMRR algorithm outperforms others.