Abstract
Workflow scheduling has been Traditionally Targeted To map The execution of set of Tasks onto a set of resources for makespan minimization. With The increasing popularity of Cloud computing systems, The financial cost entailed for executing These Tasks plays also an important role. Existing works have however combined both, makespan and cost, on a single function and no analysis of The Tradeoff between both criteria has been produced. In addition, no work in The context a real commercial cloud system exists. This paper includes a comparison of Two real multi-objective workflow scheduling, MOHEFT and SPEA2*, in The context of Amazon EC2. The carried experiments show That MOHEFT outperforms SPEA2*, and That The analysis of The Tradeoff solutions can help in selecting good scheduling solutions. © 2014 Springer-Verlag Berlin Heidelberg.
Cite
CITATION STYLE
Durillo, J. J., Prodan, R., & Huang, W. (2014). Workflow scheduling in Amazon EC2. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8374 LNCS, pp. 374–383). Springer Verlag. https://doi.org/10.1007/978-3-642-54420-0_37
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