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All Journal Indonesian Journal of Electrical Engineering and Computer Science
Badlishah R Ahmad
University Sultan Zainal Abidin (UniSZA)

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An approach to building energy clusters using particle swarm optimization algorithm for allocating the tasks in computational grid Rashedul Islam; Md Nasim Akhtar; Badlishah R Ahmad; Utpal Kanti Das; Mostafijur Rahman; Zahereel Ishwar Abdul Khalib
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 2: May 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v14.i2.pp826-833

Abstract

The proper mapping in case of allocation of available tasks among particles is a challenging job to accomplish. It requires proper procedural approach and effectual algorithm or strategy. The deterministic polynomial time for task allocation problem is relative. The existence of proper and exact approach for allocation problem is void. However, for the survival of the grid and executing the assigned tasks, the reserved tasks need to be allocated equally among the particles of the grid space. At the same time, the applied model for task allocation must not consume unnecessary time and memory. We applied Particle Swarm Optimization (PSO) for allocating the task. Additionally, the particles will be divided into three clusters based on their energy level. Each cluster will have its own cluster header. Cluster headers will be used to search the task into space. In a single cluster, particles member will be of same energy level status such as full energy, half energy, and no energy level. As a result, the system will use the limited time for searching task for the remaining tasks in it if a particular task requires allocating half task to a particle.
Co-Authors Md Nasim Akhtar Mostafijur Rahman Rashedul Islam Utpal Kanti Das Zahereel Ishwar Abdul Khalib