DSQGG: An optimized genetic-based algorithm for scheduling in distributed grid
Arash Ghorbannia Delavar, Mostafa Rahmany, Ayden Halaakouie, Reza Sookhtsaraei · 2010
In this paper, a novel scheduling algorithm has been presented that is more efficient and has more reliability comparing similar algorithms. DSQGG is a novel algorithm that by defining new parameters and metrics, has decreased the delay and also response time of job. Also it satisfies the satisfaction level of servers. Several simulation results show that by using this new algorithm, a better makespan in total task process and a better performance of distributed system are being achieved. This way, quality of service in different levels of distributed processors is being increased and finally acknowledge delay of processes is being decreased significantly.