Heterogeneous Computing Workshop (2000)
May 1, 2000 to May 1, 2000
Gary Shao , University of California at San Diego
Francine Berman , University of California at San Diego
Rich Wolski , University of Tennessee
Resource selection is fundamental to the performance of master/slave applications. In this paper, we address the problem of promoting performance for distributed master/slave applications targeted to distributed, heterogeneous “Grid” resources. We present a work-rate-based model of master/slave application performance which utilizes both system and application characteristics to select potentially performance-efficient hosts for both the master and slave processes. Using a Grid allocation strategy based on this performance model, we demonstrate a performance improvement over other selection options for a representative set of Master/Slave applications in both simulated and actual Grid environments.
Grid computing, master/slave computing, flow-rate performance model, resource selection, performance simulation
F. Berman, R. Wolski and G. Shao, "Master/Slave Computing on the Grid," Heterogeneous Computing Workshop(HCW), Cancun, Mexico, 2000, pp. 3.