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Experimental study of load balancing on software defined network using ant-colony optimization


Article Information

Title: Experimental study of load balancing on software defined network using ant-colony optimization

Authors: Faizal Mulya, Tito Waluyo Purboyo, Roswan Latuconsina

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: 2019

Volume: 14

Issue: 17

Language: English

Categories

Abstract

The development of technology on internet networks is rapidly continues to grow. This development also had an impact on the server because the server had difficulty in distributing request. To meet internet needs, the technique that can be used is load balancing. Load balancing is a technique to use two or more internet connection lines and balance the request between the two internet connection lines. In this research, the main problem to be discussed is a load balancing simulation using ant colony optimization mechanism. Our experiment show that throughput value by using the ant colony optimization algorithm has a greater throughput value than the round-robin algorithm. Also, we found that ant colony optimization algorithm is more balanced because it has a difference CPU utilization lower than Round-Robin.


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