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An Efficient Dynamic Load Balancing Scheme for Heterogenous Processing System

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2 Author(s)
Xiaonian Tong ; Coll. of Comput. Sci., South-Central Univ. for Nat., Wuhan, China ; Wanneng Shu

In order to balance loadings in heterogeneous parallel processing systems, a new task scheduling algorithm, weighted least connection genetic algorithm (WLGA), is proposed. WLGA algorithm uses the genetic algorithm to improve the weighted least connection algorithm (WLCA), it overcomes deficiencies of WLCA algorithms and provides functions of dynamic control to schedule tasks so that the distribution problem of N processors is solved effectively. The experimental result shows the improved algorithm WLGA is superior to basic genetic algorithm and WLCA algorithm.

Published in:

Computational Intelligence and Natural Computing, 2009. CINC '09. International Conference on  (Volume:2 )

Date of Conference:

6-7 June 2009

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