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Adapting a partitioning-based heuristic load-balancing algorithm to heterogeneous computing environments

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1 Author(s)
Petcu, D. ; Dept. of Comput. Sci., Western Univ. of Timisoara, Romania

A graph partitioning-based heuristic load-balancing algorithm known as the largest-task-first-with-minimum-finish-time-and-available-communication-costs from EVAH package by M.J. Djomehri, et. al. (2003) is modified in order to be dynamically adapted to heterogeneous computing environments like a grid. An example is given to show the improvement.

Published in:

Symbolic and Numeric Algorithms for Scientific Computing, 2005. SYNASC 2005. Seventh International Symposium on

Date of Conference:

25-29 Sept. 2005