Work place: Department of Computer Engineering, Germi branch, Islamic Azad University, Germi, Iran
E-mail: saeed_molaiy@yahoo.com
Website:
Research Interests: Computer systems and computational processes, Computer Architecture and Organization, Operating Systems, Computer Networks, Data Structures and Algorithms
Biography
Saeed Molaiy, born in 1989, He is MSc student in Islamic Azad University of Germi, Iran. His research interests include computer networks and operating systems.
By Saeed Molaiy Mehdi Effatparvar
DOI: https://doi.org/10.5815/ijcnis.2014.02.03, Pub. Date: 8 Jan. 2014
Task scheduling is an important factor that directly influences the performance and efficiency of the system. Grid computing utilizes the distributed heterogeneous resources in order to support complicated computing problems. Grid can be classified into two types: computing grid and data grid. Job scheduling in computing grid is a very important problem. To utilize grids efficiently, we need a good job scheduling algorithm to assign jobs to resources in grids. This paper presents a new algorithm based on ant colony optimization (ACO) metaheuristic for solving this problem. In this study, a proposed ACO algorithm for scheduling in Grid systems will be presented. Simulation results indicate our ACO algorithm optimizes total response time and also it increase utilization.
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