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A simulation of load balancing in software defined network (SDN) based on Artificial Neural Networks method


Article Information

Title: A simulation of load balancing in software defined network (SDN) based on Artificial Neural Networks method

Authors: Andika Malraherawan Pradana, 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: 2020

Volume: 15

Issue: 6

Language: English

Categories

Abstract

In the development of network technology, where development makes it easier for us to monitor and build computer networks. The Increased use of the internet will also result in improved service quality. It's not enough just to be able to connect to the internet, the performance also become a concern. Load balancing is one of the behaviors to divide the load into several servers. The purpose of load balancing is to allocate resources, maximize throughput, minimize response time, and avoid charging resources. This Final Project discusses the analysis of the Network Defined Network (SDN) network for enhancement and optimization applied using the Load Balancing technique. Parameters that are taken through the response time that goes to one server and to several clients that will be monitored by controlling the Mininet. This system is designed with the queue method and path determinant, namely ANN (Artificial Neural Network) that is able to create data and channel input data into certain categories or predetermined paths with the main role in load balancing in the Software Defined Network network to determine and cost Which means the ability to process input data without having to have an optimization target.


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