Adaptive dual-criteria task group allocation for clustering-based multi-workflow scheduling on parallel computing platform


Workflow scheduling has long been an important research topic in the field of parallel computing. Clustering-based methods are one of the major types of workflow scheduling approaches which have been shown superior to other kinds of methods in many cases due to their advantage of minimizing inter-task communication costs. Most previous research dealt with… (More)
DOI: 10.1007/s11227-015-1469-x


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