Enhanced Ant Colony Optimization Algorithm for Optimizing Load Balancing in Cloud Computing Platform - Computational Intelligence in Data Science Access content directly
Conference Papers Year : 2021

Enhanced Ant Colony Optimization Algorithm for Optimizing Load Balancing in Cloud Computing Platform

A. Daniel
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  • PersonId : 1162766
N. Partheeban
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  • PersonId : 1162767
Srinivasan Sriramulu
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  • PersonId : 1162768

Abstract

Load balancing among virtual machines (VMs) is significant for conveying the cloud services in advanced manner with least cost paid and all-out time procured to convey the services. In this research work, the different research holes for load balancing optimization in the past writing have been exhibited, which should be tended to for taking care of the load balancing issue in cloud environment. In present work, Hybrid methodology-based asset provisioning and load balancing framework for work processes execution has been proposed to enhance the usage of VMs with uniform load conveyance. The proposed framework depends on binary ant colony optimization algorithm and the results proved the superiority of them over the compared methods.
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hal-03772927 , version 1 (08-09-2022)

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A. Daniel, N. Partheeban, Srinivasan Sriramulu. Enhanced Ant Colony Optimization Algorithm for Optimizing Load Balancing in Cloud Computing Platform. 4th International Conference on Computational Intelligence in Data Science (ICCIDS), Mar 2021, Chennai, India. pp.64-70, ⟨10.1007/978-3-030-92600-7_6⟩. ⟨hal-03772927⟩
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