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Author/Affiliation: Moo Wan KimOpen AccessArticle
9 Pages, 546 KB 
On the Performance of a Clustering-based Task Scheduling in a Heterogeneous System
Abstract:
Recent task scheduling algorithms for a generalized workflow job in heterogeneous system adopt list-based scheduling. In those algorithms, the response time cannot be effectively reduced if the given workflow job is data-intensive. If the workflow job is computationally intensive, an attempt is made to assign tasks to many processors, which can lead to resource starvation.…
Read More(This article belongs to the SP3 (Special issue on Recent Advances in Engineering Systems 2017) & Section Information Systems in Computer Science (CIS))