DocumentCode
2662732
Title
A Simulation Study of Data Partitioning Algorithms for Multiple Clusters
Author
Yu, Chen ; Marinescu, Dan C. ; Siegel, Howard Jay ; Morrison, John P.
Author_Institution
Sch. of Eng. & Comput. Sci., Univ. of Central Florida, Orlando, FL
fYear
2007
fDate
14-17 May 2007
Firstpage
259
Lastpage
266
Abstract
Recently we proposed algorithms for concurrent execution on multiple clusters [11]. In this case, data partitioning is done at two levels; first, the data is distributed to a collection of heterogeneous parallel systems with different resources and startup time, then, on each system the data is evenly partitioned to the available nodes. In this paper, we report on a simulation study of the algorithms.
Keywords
data handling; parallel algorithms; workstation clusters; data partitioning algorithms; heterogeneous parallel systems; multiple clusters; simulation; single program multiple data; Biology computing; Clustering algorithms; Computational modeling; Computer science; Distributed computing; Grid computing; Large-scale systems; Partitioning algorithms; Processor scheduling; Scheduling algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Cluster Computing and the Grid, 2007. CCGRID 2007. Seventh IEEE International Symposium on
Conference_Location
Rio De Janeiro
Print_ISBN
0-7695-2833-3
Type
conf
DOI
10.1109/CCGRID.2007.13
Filename
4215389
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