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DOI: 10.14569/IJACSA.2021.0120655
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An HC-CSO Algorithm for Workflow Scheduling in Heterogeneous Cloud Computing System

Author 1: Jai Bhagwan
Author 2: Sanjeev Kumar

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 6, 2021.

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Abstract: Many scientists are using meta-heuristic techniques for dynamic workflow task scheduling in the area of cloud computing systems to get optimum solutions. Many swarm intelligent algorithms have been designed so far which are having many limitations as some get trapped in local optima, a few are having low convergence speed, some are having poor global search facilities, etc. Still, there is a requirement of designing a new algorithm or modification of existing algorithms to overcome the limitations of the existing techniques. A new Hybrid Cat Swarm Optimization algorithm named H-CSO was designed inspired by the HEFT algorithm and the initialization problem of the Cat Swarm Optimization was overcome. Still, that algorithm has a limitation of getting stuck in local minima. To overcome this algorithm a part of the Crow Search Algorithm has been integrated into H-CSO and described in this paper. After simulation, it was found that the new hybrid algorithm named HC-CSO outperforms CSO and H-CSO.

Keywords: Cloud computing; Crow Search Algorithm (CSA); Cat Swarm Optimization (CSO); H-CSO; HC-CSO; HEFT; Self-Motivated Inertia Weight (SMIW); Virtual Machines (VMs)

Jai Bhagwan and Sanjeev Kumar, “An HC-CSO Algorithm for Workflow Scheduling in Heterogeneous Cloud Computing System” International Journal of Advanced Computer Science and Applications(IJACSA), 12(6), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120655

@article{Bhagwan2021,
title = {An HC-CSO Algorithm for Workflow Scheduling in Heterogeneous Cloud Computing System},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120655},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120655},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {6},
author = {Jai Bhagwan and Sanjeev Kumar}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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