International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 50 - Number 12 |
Year of Publication: 2012 |
Authors: O. M. Elzeki, M. Z. Reshad, M. A. Elsoud |
10.5120/7823-1009 |
O. M. Elzeki, M. Z. Reshad, M. A. Elsoud . Improved Max-Min Algorithm in Cloud Computing. International Journal of Computer Applications. 50, 12 ( July 2012), 22-27. DOI=10.5120/7823-1009
In this paper, a unique modification of Max-min algorithm is proposed. The algorithm is built based on comprehensive study of the impact of RASA algorithm in scheduling tasks and the atom concept of Max-min strategy. An Improved version of Max-min algorithm is proposed to outperform scheduling map at least similar to RASA map in total complete time for submitted jobs. Improved Max-min is based on the expected execution time instead of complete time as a selection basis. Experimental results show availability of load balance in small cloud computing environment and total small makespan in large-scale distributed system; cloud computing. In turn scheduling tasks within cloud computing using Improved Max-min demonstrates achieving schedules with comparable lower makespan rather than RASA and original Max-min.