Observations on Effect of IPC in GA Based Scheduling on Computational Grid

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Author(s): Shiv Prakash (Jawaharlal Nehru University, India)and Deo P. Vidyarthi (Jawaharlal Nehru University, India)
Copyright: 2012
Volume: 4
Issue: 1
Pages: 14
Source title: International Journal of Grid and High Performance Computing (IJGHPC)
Editor(s)-in-Chief: Emmanuel Udoh (Sullivan University, USA)and Ching-Hsien Hsu (Asia University, Taiwan)
DOI: 10.4018/jghpc.2012010105

Keywords: Computer Science & IT / Engineering Science Reference / Grid & High Performance Computing / High Performance Computing

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Abstract

Computational Grid (CG) provides a wide distributed platform for high end compute intensive applications. Inter Process Communication (IPC) affects the performance of a scheduling algorithm drastically. Genetic Algorithms (GA), a search procedure based on the evolutionary computation, is able to solve a class of complex optimization problems. This paper proposes a GA based scheduling model observing the effect of IPC on the performance of scheduling in computational grid. The proposed model studies the effects of Inter Process Communication (IPC), processing rate () and arrival rate (). Simulation experiment, to evaluate the performance of the proposed algorithm is conducted and results reveal the effectiveness of the model.

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Observations on Effect of IPC in GA Based Scheduling on Computational Grid

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