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A Genetic Algorithm based Load Balancing Technique (GALBT) for application processing in Cloud


Article Information

Title: A Genetic Algorithm based Load Balancing Technique (GALBT) for application processing in Cloud

Authors: J. janet, G. Sreelatha, A. B. Manju

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2016

Volume: 11

Issue: 17

Language: English

Categories

Abstract

The applications of Cloud computing has penetrated all services recently. Enormous data processing in cloud is done by distributing the data among the virtual machines. The virtual machines load capacities are dynamically changing based on the request sent by the client. Genetic Algorithm based Load Balancing Technique (GALBT) has been proposed to equally distribute the load among the virtual machines and for rapid processing. Virtual machine scheduler (Vm scheduler) has been designed to estimate the time and resource requirements of the task processing. Based on estimation, the task is forwarded to virtual machines for processing. This project is developed using cloud simulator and results have been compared with round robin and throttled algorithms to show our strategy performs better for application processing.


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