Current perspective of symbiotic organisms search technique in cloud computing environment: a review

Zubair, Ajoze Abdulraheem and Abd. Razak, Shukor and Ngadi, Md. Asri and Ahmed, Aliyu (2021) Current perspective of symbiotic organisms search technique in cloud computing environment: a review. International Journal of Advanced Computer Science and Applications, 12 (6). pp. 446-453. ISSN 2158-107X

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Official URL: http://dx.doi.org/10.14569/IJACSA.2021.0120650

Abstract

Nature-inspired algorithms in computer science and engineering are algorithms that take their inspiration from living things and imitate their actions in order to construct functional models. The SOS algorithm (symbiotic organisms search) is a new promising metaheuristic algorithm. It is based on the symbiotic relationship that exists between different species in an ecosystem. Organisms develop symbiotic bonds like mutualism, commensalism, and parasitism to survive in their environment. Standard SOS has since been modified several times, either by hybridization or as better versions of the original algorithm. Most of these modifications came from engineering construction works and other discipline like medicine and finance. However, little improvement on the standard SOS has been noticed on its application in cloud computing environment, especially cloud task scheduling. As a result, this paper provides an overview of SOS applications in task scheduling problem and suggest a new enhanced method for better performance of the technique in terms of fast convergence speed.

Item Type:Article
Uncontrolled Keywords:cloud task scheduling, convergence speed, entrapment, symbiotic organisms search
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computing
ID Code:95888
Deposited By: Yanti Mohd Shah
Deposited On:22 Jun 2022 14:50
Last Modified:22 Jun 2022 14:50

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