Economic Path Scheduling for Mobile Agent System on Computer Network

dc.date.accessioned2023-05-13T17:52:17Z
dc.date.available2023-05-13T17:52:17Z
dc.date.issued2010-03
dc.description.abstractMobile 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.en_US
dc.identifier.citationOlajubu 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, Dordrechten_US
dc.identifier.otherDOI: 10.1007/978-90-481-3660-5_64
dc.identifier.urihttps://ir.oauife.edu.ng/123456789/5519
dc.language.isoenen_US
dc.publisherSpringer Linken_US
dc.subjectTSP-Ordereden_US
dc.subjectAgent-Bandwidthen_US
dc.subjectUsage-Responseen_US
dc.subjecttime-Routingen_US
dc.subjectmodelen_US
dc.titleEconomic Path Scheduling for Mobile Agent System on Computer Networken_US
dc.typeConference paperen_US
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