A Simulation Model of Task Cluster Scheduling in Distributed Systems

F
FTDCS
1999
The Seventh IEEE Workshop on Future Trends of Distributed Computing Systems
Abstract - A Simulation Model of Task Cluster Scheduling in Distributed Systems

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	Similar Articles Articles by Helen D. Karatza

The Seventh IEEE Workshop on Future Trends of Distributed Computing Systems

Tunisia, South Africa

December 20-December 20

ISBN: 0-7695-0468-X

	ASCII Text	x
	Helen D. Karatza, "A Simulation Model of Task Cluster Scheduling in Distributed Systems," Future Trends of Distributed Computing Systems, IEEE International Workshop, pp. 163, The Seventh IEEE Workshop on Future Trends of Distributed Computing Systems, 1999.

	BibTex	x
	@article{ 10.1109/FTDCS.1999.818800, author = {Helen D. Karatza}, title = {A Simulation Model of Task Cluster Scheduling in Distributed Systems}, journal ={Future Trends of Distributed Computing Systems, IEEE International Workshop}, volume = {0}, year = {1999}, issn = {1071-0485}, pages = {163}, doi = {http://doi.ieeecomputersociety.org/10.1109/FTDCS.1999.818800}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }

	RefWorks Procite/RefMan/Endnote	x
	TY - CONF JO - Future Trends of Distributed Computing Systems, IEEE International Workshop TI - A Simulation Model of Task Cluster Scheduling in Distributed Systems SN - 1071-0485 SP EP A1 - Helen D. Karatza, PY - 1999 KW - Distributed Systems KW - Scheduling KW - Simulation Modeling VL - 0 JA - Future Trends of Distributed Computing Systems, IEEE International Workshop ER -

Helen D. Karatza, Aristotle University of Thessaloniki

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FTDCS.1999.818800

This paper addresses issues of task clustering-the coalition of several fine grain tasks into single coarser grain tasks called task clusters-and task cluster scheduling on distributed processors. The performance of various scheduling schemes is studied and compared for a variety of workloads. Simulation results indicate that the scheduling policy that gives priority to the cluster with the smallest cumulative service demand of all its tasks performs better than the other policies examined.

Index Terms:

Distributed Systems, Scheduling, Simulation Modeling

Citation:

Helen D. Karatza, "A Simulation Model of Task Cluster Scheduling in Distributed Systems," ftdcs, pp.163, The Seventh IEEE Workshop on Future Trends of Distributed Computing Systems, 1999

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