Abstract HTML Views: 308 PDF Downloads: 190 Total Views/Downloads: 498
Abstract HTML Views: 191 PDF Downloads: 147 Total Views/Downloads: 338
In view of Min-Min algorithm prefers scheduling small tasks and Max-Min algorithm prefers scheduling big
tasks led to the problem of load imbalance in cloud computing, a new algorithm named Min-Max is proposed. Min-Max
makes good use of time of greedy strategy, small tasks and big tasks are put together for scheduling in order to solve the
problem of load imbalance. Experimental results show that the Min-Max improves the utilization rate of the entire system
and saves 9% of the overall execution time compared with Min-Min. As compared to Max-Min, Min-Max improves the
utilization rate of the entire system and the total completion time and average response time are saved by 7% and 9%, respectively.