Economic Path Scheduling for Mobile Agent System on Computer Network
Mobile agent technology has a lot of gains to offer network-centric applications. The technology promises to be very suitable for narrow-bandwidth networks by reducing network latency and allowing transparent per-to-per computing. Multi-agent technology had been proposed for many network-centric app...
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2023
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| Urunga tuihono: | https://ir.oauife.edu.ng/123456789/5519 |
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| description | Mobile agent technology has a lot of gains to offer network-centric applications. The technology promises to be very suitable for narrow-bandwidth networks by reducing network latency and allowing transparent per-to-per computing. Multi-agent technology had been proposed for many network-centric applications with little or no path scheduling algorithms. This paper describes the need for path scheduling algorithms for agents in multi-agent systems. Traveling salesman problem (TSP) scheme is used to model ordered agents and the unordered agents schedule their path based on random distribution. The two types of agents were modeled and simulated based on bandwidth usage and response time as performance metrics. Our simulation results shows that ordered agents have superior performance against unordered agents. The ordered agents exhibit lower bandwidth usage and higher response time. KeywordsTSP-Ordered Agent-Bandwidth Usage-Response time-Routing model. |
| format | Conference paper |
| id | oai:ir.oauife.edu.ng:123456789-5519 |
| institution | My University |
| language | English |
| publishDate | 2023 |
| publisher | Springer Link |
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| spelling | oai:ir.oauife.edu.ng:123456789-55192023-05-13T17:52:17Z Economic Path Scheduling for Mobile Agent System on Computer Network TSP-Ordered Agent-Bandwidth Usage-Response time-Routing model Mobile agent technology has a lot of gains to offer network-centric applications. The technology promises to be very suitable for narrow-bandwidth networks by reducing network latency and allowing transparent per-to-per computing. Multi-agent technology had been proposed for many network-centric applications with little or no path scheduling algorithms. This paper describes the need for path scheduling algorithms for agents in multi-agent systems. Traveling salesman problem (TSP) scheme is used to model ordered agents and the unordered agents schedule their path based on random distribution. The two types of agents were modeled and simulated based on bandwidth usage and response time as performance metrics. Our simulation results shows that ordered agents have superior performance against unordered agents. The ordered agents exhibit lower bandwidth usage and higher response time. KeywordsTSP-Ordered Agent-Bandwidth Usage-Response time-Routing model. 2023-05-13T17:52:17Z 2023-05-13T17:52:17Z 2010-03 Conference paper Olajubu E.A. (2010) Economic Path Scheduling for Mobile Agent System on Computer Network. In: Elleithy K. (eds) Advanced Techniques in Computing Sciences and Software Engineering. Springer, Dordrecht DOI: 10.1007/978-90-481-3660-5_64 https://ir.oauife.edu.ng/123456789/5519 en text/plain Springer Link |
| spellingShingle | TSP-Ordered Agent-Bandwidth Usage-Response time-Routing model Economic Path Scheduling for Mobile Agent System on Computer Network |
| title | Economic Path Scheduling for Mobile Agent System on Computer Network |
| title_full | Economic Path Scheduling for Mobile Agent System on Computer Network |
| title_fullStr | Economic Path Scheduling for Mobile Agent System on Computer Network |
| title_full_unstemmed | Economic Path Scheduling for Mobile Agent System on Computer Network |
| title_short | Economic Path Scheduling for Mobile Agent System on Computer Network |
| title_sort | economic path scheduling for mobile agent system on computer network |
| topic | TSP-Ordered Agent-Bandwidth Usage-Response time-Routing model |
| url | https://ir.oauife.edu.ng/123456789/5519 |