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A Novel Approach of Load Balancing and Task Scheduling Using Ant Colony Optimization Algorithm

A Novel Approach of Load Balancing and Task Scheduling Using Ant Colony Optimization Algorithm

Selvakumar A., Gunasekaran G.
Copyright: © 2019 |Volume: 7 |Issue: 2 |Pages: 12
ISSN: 2166-7160|EISSN: 2166-7179|EISBN13: 9781522568278|DOI: 10.4018/IJSI.2019040102
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MLA

A., Selvakumar, and Gunasekaran G. "A Novel Approach of Load Balancing and Task Scheduling Using Ant Colony Optimization Algorithm." IJSI vol.7, no.2 2019: pp.9-20. http://doi.org/10.4018/IJSI.2019040102

APA

A., S. & Gunasekaran G. (2019). A Novel Approach of Load Balancing and Task Scheduling Using Ant Colony Optimization Algorithm. International Journal of Software Innovation (IJSI), 7(2), 9-20. http://doi.org/10.4018/IJSI.2019040102

Chicago

A., Selvakumar, and Gunasekaran G. "A Novel Approach of Load Balancing and Task Scheduling Using Ant Colony Optimization Algorithm," International Journal of Software Innovation (IJSI) 7, no.2: 9-20. http://doi.org/10.4018/IJSI.2019040102

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Abstract

Cloud computing is a model for conveying data innovation benefits in which assets are recovered from the web through online devices and applications, instead of an immediate association with a server. Clients can set up and boot the required assets and they need to pay just for the required assets. Subsequently, later on giving a component to a productive asset administration and the task will be a vital target of Cloud computing. Load balancing is one of the major concerns in cloud computing, and the main purpose of it is to satisfy the requirements of users by distributing the load evenly among all servers in the cloud to maximize the utilization of resources, to increase throughput, provide good response time and to reduce energy consumption. To optimize resource allocation and ensure the quality of service, this article proposes a novel approach for load-balancing based on the enhanced ant colony optimization.

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