Zafril Rizal M. Azmi

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Recent advancement in meta-heuristics grid scheduling studies have applied various techniques such as Particle Swarm Optimization (PSO), Genetic Algorithm (GA) and Ant Colony Optimization (ACO) to solve the grid scheduling problem. All of these technique requires an initial scheduler in order to initiate the scheduling process and the priority rule(More)
Over the past decade, scheduling in grid computing system has been an active research. However, it is still difficult to find an optimal scheduling algorithm in order to achieve load balancing. Gap filling or backfilling is one of the techniques used to optimize First Come First Serve (FCFS) and have been used widely in scheduling area. This paper(More)
Over the past decade, scheduling in grid computing system has been an active research. However, it is still difficult to find an optimal scheduling algorithm to achieve load balancing. Most of the researchers have focus on schedule-based algorithms such as genetic algorithm and particle swarm optimization to solve this problem and us e priority rules(More)
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