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A Novel Strategy for Load Balancing of Distributed Medical Applications

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Abstract

Current trends in medicine, specifically in the electronic handling of medical applications, ranging from digital imaging, paperless hospital administration and electronic medical records, telemedicine, to computer-aided diagnosis, creates a burden on the network. Distributed Service Architectures, such as Intelligent Network (IN), Telecommunication Information Networking Architecture (TINA) and Open Service Access (OSA), are able to meet this new challenge. Distribution enables computational tasks to be spread among multiple processors; hence, performance is an important issue. This paper proposes a novel approach in load balancing, the Random Sender Initiated Algorithm, for distribution of tasks among several nodes sharing the same computational object (CO) instances in Distributed Service Architectures. Simulations illustrate that the proposed algorithm produces better network performance than the benchmark load balancing algorithms—the Random Node Selection Algorithm and the Shortest Queue Algorithm, especially under medium and heavily loaded conditions.

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Acknowledgement

The authors would like to acknowledge the following persons for their contributions towards this work: Maria Kihl and Niklas Widell of Lund Institute of Technology (Sweden). This work was supported financially through a grant by the TINA Consortium.

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Authors and Affiliations

  1. Faculty of Engineering, Multimedia University, 63100, Cyberjaya, Malaysia

    Rajasvaran Logeswaran & Li-Choo Chen

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  1. Rajasvaran Logeswaran
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  2. Li-Choo Chen
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Correspondence to Rajasvaran Logeswaran.

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Logeswaran, R., Chen, LC. A Novel Strategy for Load Balancing of Distributed Medical Applications. J Med Syst 36, 483–490 (2012). https://doi.org/10.1007/s10916-010-9493-0

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  • DOI: https://doi.org/10.1007/s10916-010-9493-0

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