A Task Scheduling Method after Clustering for Data Intensive Jobs in Heterogeneous Distributed Systems

Several task clustering heuristics are proposed for allocating tasks in heterogeneous systems to achieve a good response time in data intensive jobs. However, one of the challenging problems is the process in task scheduling after task allocation by task clustering. We propose a task scheduling meth...

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Veröffentlicht in:	Journal of computing science and engineering : JCSE 2016, Vol.10 (1), p.9-20
Hauptverfasser:	Hajikano, Kazuo, Kanemitsu, Hidehiro, Kim, Moo Wan, Kim, Hee-Dong
Format:	Artikel
Sprache:	kor
Online-Zugang:	Volltext
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