Cluster Computing and the Grid, IEEE International Symposium on (2007)
Rio De Janeiro, Brazil
May 14, 2007 to May 17, 2007
Chen Yu , University of Central Florida
Dan C. Marinescu , University of Central Florida
Howard Jay Siegel , Colorado State University, Fort Collins, CO
John P. Morrison , University College of Cork, Ireland
Recently we proposed algorithms for concurrent execution on multiple clusters . 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.
C. Yu, J. P. Morrison, D. C. Marinescu and H. J. Siegel, "A Simulation Study of Data Partitioning Algorithms for Multiple Clusters," Cluster Computing and the Grid, IEEE International Symposium on(CCGRID), Rio De Janeiro, Brazil, 2007, pp. 259-266.