Link-contention-aware genetic scheduling using task duplication in grid environments

Abstract

In this paper, we consider the problem of scheduling precedence-constrained tasks as well as communications in the grid environment where computers and links are heterogeneous and time-sharing. Herein, we propose a novel genetic scheduling algorithm for grid computing. The new algorithm adopts a special chromosome encoding scheme in order to make better use of task duplication. Moreover, knowledge based genetic operators are developed to improve the performance of the algorithm. We perform comparison studies in a simulated grid environment. Experimental results show the effectiveness of the enhanced genetic scheduling algorithm. © Springer-Verlag 2004.