Reducing Response Time with Dynamic Load Balancing and Agent Pool in Multi-Agent System

Reducing Response Time with Dynamic Load Balancing and Agent Pool in Multi-Agent System

Recently, the ubiquitous computing paradigm rapidly evolves and the agent technology attracts lots of researchers applying it to various applications. In the ubiquitous environment, the multiple agent system is able to provide customized service to the users by effectively utilizing the distributed...

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Hauptverfasser: Hyung Do Lee, Sung Soo Moon, Suk Jung Yong, Hee Yong Youn
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Sprache:eng
Schlagworte:
Accuracy
Cloning
Collaboration
Load management
Mobile agents
Time factors
Tin
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creator Hyung Do Lee
Sung Soo Moon
Suk Jung Yong
Hee Yong Youn
description Recently, the ubiquitous computing paradigm rapidly evolves and the agent technology attracts lots of researchers applying it to various applications. In the ubiquitous environment, the multiple agent system is able to provide customized service to the users by effectively utilizing the distributed system resource. In this paper we propose a dynamic prediction-based approach for both load balancing and agent pool management. It can reduce the response time for service request by avoiding unnecessary agent migration and creation of agents. The experiments reveal that the proposed scheme significantly reduces the response time compared with the existing scheme.
doi_str_mv 10.1109/CSE.2011.91
format Conference Proceeding
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subjects Accuracy
Cloning
Collaboration
Load management
Mobile agents
Time factors
Tin
title Reducing Response Time with Dynamic Load Balancing and Agent Pool in Multi-Agent System
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