Network resources management in a multi-agent system: A simulative approach
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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Academy of Science of South Africa
2010-08-01
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| Series: | South African Journal of Science |
| Subjects: | |
| Online Access: | https://www.sajs.co.za/article/view/10113 |
| _version_ | 1818857305833209856 |
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| author | Emmanuel Olajubu Ganiyu Aderounmu Emmanuel Adagunodo |
| author_facet | Emmanuel Olajubu Ganiyu Aderounmu Emmanuel Adagunodo |
| author_sort | Emmanuel Olajubu |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-19T08:38:17Z |
| format | Article |
| id | doaj.art-d89b5248d9154276b8833765c40cd54f |
| institution | Directory Open Access Journal |
| issn | 1996-7489 |
| language | English |
| last_indexed | 2024-12-19T08:38:17Z |
| publishDate | 2010-08-01 |
| publisher | Academy of Science of South Africa |
| record_format | Article |
| series | South African Journal of Science |
| spelling | doaj.art-d89b5248d9154276b8833765c40cd54f2022-12-21T20:29:00ZengAcademy of Science of South AfricaSouth African Journal of Science1996-74892010-08-011069/10Network resources management in a multi-agent system: A simulative approachEmmanuel Olajubu0Ganiyu Aderounmu1Emmanuel Adagunodo2Obafemi Awolowo UniversityObafemi Awolowo UniversityObafemi Awolowo UniversityMulti-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.https://www.sajs.co.za/article/view/10113bandwidth usageBernoulli random variablelightweight agentsmulti-agentthroughput |
| spellingShingle | Emmanuel Olajubu Ganiyu Aderounmu Emmanuel Adagunodo Network resources management in a multi-agent system: A simulative approach South African Journal of Science bandwidth usage Bernoulli random variable lightweight agents multi-agent throughput |
| 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 | bandwidth usage Bernoulli random variable lightweight agents multi-agent throughput |
| url | https://www.sajs.co.za/article/view/10113 |
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