期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2013
卷号：2
期号：3
页码：904-915
出版社：Shri Pannalal Research Institute of Technolgy
摘要：In this paper we compared and evaluated the scheduling performances of existing heuristic scheduling algorithms with our proposed Enhanced Ant Colony Optimization (EACO). We take the algorithms for comparison Modified Ant Colony Optimization (MACO), MAX- MIN and RASA scheduling algorithms. We also presented a new job scheduling algorithm based on Resource Aware Scheduling Algorithm (RASA). Our algorithm aims to improve the makespan of the job scheduling, avoiding starvation, proper resource selection and allocation according to the system and network performance in dynamic Grid Environment. We achieved our goal with the help of the proposed simulator Grid Network Listing Tool (GNLT). It performed simulation process in real time environment. Thus, the task scheduling can be performed more effectively by achieving lower makespan time than the existing scheduling algorithms.
关键词：Grid Scheduling; MACO ; Algorithm; MAX-MIN Algorithm; RASA ; Algorithm and EACO Algorithm
