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.
CITATION STYLE
M.Elzeki, O., Z. Reshad, M., & A. Elsoud, M. (2012). Improved Max-Min Algorithm in Cloud Computing. International Journal of Computer Applications, 50(12), 22–27. https://doi.org/10.5120/7823-1009
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