• Journal of Internet Computing and Services
    ISSN 2287 - 1136(Online) / ISSN 1598 - 0170 (Print)
    http://jics.or.kr/

Balanced Clustering based on Mobile Agents for the Ubiquitous Healthcare Systems


Romeo Mark A. Mateo, Jae-Wan Lee, Mal-Rey Lee, Journal of Internet Computing and Services, Vol. 11, No. 3, pp. 65-74, Jun. 2010
Full Text:
Keywords: clustering, load balancing, ubiquitous healthcare, Mobile Agents

Abstract

In the ubiquitous healthcare, automated diagnosis is commonly achieved by an agent system to provide intelligent decision support and fast diagnosis result. Mobile agent technology is used for efficient load distribution by migrating processes to a less loaded node which is considered in our design of a ubiquitous healthcare system. This paper presents a framework for ubiquitous healthcare technologies which mainly focuses on mobile agents that serve the on-demand processes of an automated diagnosis support system. Considering the efficient utilization of resources, a balanced clustering for the load distribution of processes within nodes is proposed. The proposed algorithm selects overloaded nodes to migrate processes to near nodes until the load variance of the system is minimized. Our proposed balanced clustering efficiently distributes processes to all nodes considering message overheads by performing the migration to the near nodes.


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Cite this article
[APA Style]
Romeo Mark A. Mateo, Jae-Wan Lee, & Mal-Rey Lee (2010). Balanced Clustering based on Mobile Agents for the Ubiquitous Healthcare Systems. Journal of Internet Computing and Services, 11(3), 65-74.

[IEEE Style]
R. M. A. Mateo, J. Lee and M. Lee, "Balanced Clustering based on Mobile Agents for the Ubiquitous Healthcare Systems," Journal of Internet Computing and Services, vol. 11, no. 3, pp. 65-74, 2010.

[ACM Style]
Romeo Mark A. Mateo, Jae-Wan Lee, and Mal-Rey Lee. 2010. Balanced Clustering based on Mobile Agents for the Ubiquitous Healthcare Systems. Journal of Internet Computing and Services, 11, 3, (2010), 65-74.