The paper studies the efficiency of nine state-of-the-art algorithms for scheduling of workflow applications in heterogeneous computing systems (HCS). The comparison of algorithms is performed on the base of discrete-event simulation for a wide range of workflow and system configurations. The developed open source simulation framework based on SimGrid toolkit allowed us to perform a large number of experiments in a reasonable amount of time and to ensure reproducible results. The accuracy of the used network model helped to reveal drawbacks of simpler models commonly used for studying scheduling algorithms.
CITATION STYLE
Nazarenko, A., & Sukhoroslov, O. (2017). An experimental study of workflow scheduling algorithms for heterogeneous systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10421 LNCS, pp. 327–341). Springer Verlag. https://doi.org/10.1007/978-3-319-62932-2_32
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