Network resources management in a multi-agent system: A simulative approach

2010 .106(9-10):1-6

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Main Authors: Olajubu, Emmanuel, Aderounmu, Ganiyu A., Adagunodo, Emmanuel R.
Formato: Periódico
Idioma:inglês
Publicado em: 2023
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Acesso em linha:https://ir.oauife.edu.ng/123456789/5535
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author Olajubu, Emmanuel
Aderounmu, Ganiyu A.
Adagunodo, Emmanuel R.
author_facet Olajubu, Emmanuel
Aderounmu, Ganiyu A.
Adagunodo, Emmanuel R.
author_sort Olajubu, Emmanuel
collection DSpace
description 2010 .106(9-10):1-6
format Journal
id oai:ir.oauife.edu.ng:123456789-5535
institution My University
language English
publishDate 2023
record_format dspace
spelling oai:ir.oauife.edu.ng:123456789-55352023-05-13T17:55:01Z Network resources management in a multi-agent system: A simulative approach Olajubu, Emmanuel Aderounmu, Ganiyu A. Adagunodo, Emmanuel R. Multi-agent systems Internet distributed applications proposed systems 2010 .106(9-10):1-6 Multi-agent systems (i.e. systems comprising many agents) have been proposed for many Internet and distributed applications. The proposed systems have little or no consideration of the effects of this multi-agent approach on network resources. In this paper, we presented a simulation assessment of the effect of multi-agent systems on network resources. The routing scheme of the agents was formulated based on the travelling salesman problem. Lightweight agent (LWA) controller was modelled using a fuzzy logic toolbox in the MATLAB environment. The performance metrics of bandwidth usage, response time and throughput were used to compare the network resources usage by different groups of LWAs (10 LWAs, 40 LWAs, 100 LWAs, 150 LWAs) during their computational task on the network. Java programs were written for the implementation of lightweight agents in the simulation. The inputs to the system were realised by multiplicative pseudorandom number generation during the simulation. The simulation result analysis was carried out based on the performance metrics stated above for the four groups of agents. Increasing the number of LWAs in a simulated multi-agent system decreased the response time but increased the throughput and the bandwidth usage. All these performance measures should be considered for developing countries with bandwidth shortages, because having too many agents in a multi-agent system could result in bandwidth wastages. 2023-05-13T17:55:01Z 2023-05-13T17:55:01Z 2010-10 Journal Olajubu.E, Aderounmu G.A, Adagunodo E.R(2010)Network resources management in a multi-agent system: A simulative approach.South African Journal of Science. DOI: 10.4102/sajs.v106i9/10.322 https://ir.oauife.edu.ng/123456789/5535 en text/plain
spellingShingle Multi-agent systems
Internet
distributed
applications
proposed systems
Olajubu, Emmanuel
Aderounmu, Ganiyu A.
Adagunodo, Emmanuel R.
Network resources management in a multi-agent system: A simulative approach
title Network resources management in a multi-agent system: A simulative approach
title_full Network resources management in a multi-agent system: A simulative approach
title_fullStr Network resources management in a multi-agent system: A simulative approach
title_full_unstemmed Network resources management in a multi-agent system: A simulative approach
title_short Network resources management in a multi-agent system: A simulative approach
title_sort network resources management in a multi agent system a simulative approach
topic Multi-agent systems
Internet
distributed
applications
proposed systems
url https://ir.oauife.edu.ng/123456789/5535
work_keys_str_mv AT olajubuemmanuel networkresourcesmanagementinamultiagentsystemasimulativeapproach
AT aderounmuganiyua networkresourcesmanagementinamultiagentsystemasimulativeapproach
AT adagunodoemmanuelr networkresourcesmanagementinamultiagentsystemasimulativeapproach