Multi-Objective Task Scheduling in Cloud Computing Using an Imperialist Competitive Algorithm
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2016, Vol 7, Issue 5
Abstract
Cloud computing is being welcomed as a new basis to manage and provide services on the internet. One of the reasons for increased efficiency of this environment is the appropriate structure of the tasks scheduler. Since the tasks scheduling in the cloud computing environment and distributed systems is an NP-hard problem, in most cases to optimize the scheduling issues, the meta-heuristic methods inspired by nature are used rather than traditional or greedy methods. One of the most powerful meta-heuristic methods of optimization in the complex problems is an Imperialist Competitive Algorithm (ICA). Thus, in this paper, a meta-heuristic method based on ICA is provided to optimize the scheduling issue in the cloud environment. Simulation results in MATLAB environment show the amount of 0.7 percent improvement in execution time compared with a Genetic Algorithm(GA).
Authors and Affiliations
Majid Habibi, Nima Navimipour
Keywords
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- EP ID EP154297
- DOI 10.14569/IJACSA.2016.070540
- Views 84
- Downloads 0
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