Node Status Algorithm for Load Balancing in Distributed Service Architectures at Paperless Medical Institutions

Logeswaran, Rajasvaran and Chen, Li-Choo (2008) Node Status Algorithm for Load Balancing in Distributed Service Architectures at Paperless Medical Institutions. Journal of Medical Systems, 32 (6). pp. 453-461. ISSN 0148-5598

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Official URL: http://dx.doi.org/10.1007/s10916-008-9151-y

Abstract

Service architectures are necessary for providing value-added services in telecommunications networks, including those in medical institutions. Separation of service logic and control from the actual call switching is the main idea of these service architectures, examples include Intelligent Network (IN), Telecommunications Information Network Architectures (TINA), and Open Service Access (OSA). In the Distributed Service Architectures (DSA), instances of the same object type can be placed on different physical nodes. Hence, the network performance can be enhanced by introducing load balancing algorithms to efficiently distribute the traffic between object instances, such that the overall throughput and network performance can be optimised. In this paper, we propose a new load balancing algorithm called "Node Status Algorithm" for DSA infrastructure applicable to electronic-based medical institutions. The simulation results illustrate that this proposed algorithm is able to outperform the benchmark load balancing algorithms-Random Algorithm and Shortest Queue Algorithm, especially under medium and heavily loaded network conditions, which are typical of the increasing bandwidth utilization and processing requirements at paperless hospitals and in the telemedicine environment.

Item Type: Article
Subjects: T Technology > T Technology (General)
R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Ms Suzilawati Abu Samah
Date Deposited: 10 Aug 2011 06:50
Last Modified: 10 Aug 2011 06:50
URI: http://shdl.mmu.edu.my/id/eprint/2035

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