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

机译:无纸化医疗机构分布式服务架构中用于负载均衡的节点状态算法

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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.
机译:服务架构对于在电信网络(包括医疗机构中的网络)中提供增值服务至关重要。服务逻辑和控制与实际呼叫交换的分离是这些服务体系结构的主要思想,示例包括智能网络(IN),电信信息网络体系结构(TINA)和开放服务访问(OSA)。在分布式服务体系结构(DSA)中,相同对象类型的实例可以放置在不同的物理节点上。因此,可以通过引入负载平衡算法来有效地在对象实例之间分配流量,从而提高网络性能,从而可以优化总体吞吐量和网络性能。在本文中,我们为适用于电子医疗机构的DSA基础架构提出了一种称为“节点状态算法”的新负载平衡算法。仿真结果表明,该算法能够胜过基准负载均衡算法(随机算法和最短队列算法),特别是在中,重负载网络条件下,这是无纸化医院和医院日益增长的带宽利用率和处理要求的典型表现远程医疗环境。

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