Adaptive Scheduling Based on Quality of Service in Heterogeneous Environments

With the emergence of grid and cloud technologies, the problem of scheduling tasks in heterogeneous distributed systems has been arousing attention. In this paper, we present two scheduling techniques for optimizing overall execution time and minimizing resource usage cost. To evaluate the effectiveness of the proposed techniques, we have implemented both techniques along with the QoS Min-Min scheduling algorithm. The experimental results show that the proposed techniques provide noticeable improvements.