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Load Balancing Algorithms in Distributed Service Architectures for Medical Applications

机译:医疗应用分布式服务体系结构中的负载平衡算法

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This paper investigates the performance of two proposed load balancing algorithms for Object-Oriented Distributed Service Architectures (DSA) that are open and flexible, enabling rapid and easy development of new applications on various kinds of software and hardware platforms, catering for telecommunications and distributed medical applications. The proposed algorithms, namely, Node Status Algorithm and Random Sender Initiated Algorithm, have been developed as solutions to the performance problems faced by the DSA. The performance of the proposed algorithms have been tested and compared with baseline load balancing algorithms, namely the Random Algorithm and Shortest Queue Algorithm. Simulation results show that both the proposed algorithms perform better than the baseline algorithms, especially in heavily loaded conditions. This paper discusses the mechanisms of the algorithms and reports on the investigations that have been carried out in comparing the load balancing algorithms implemented on a DSA-based network, which is useful for the distributed computing requirements of the medical field.
机译:本文研究了两种建议的面向对象的分布式服务体系结构(DSA)的负载均衡算法的性能,这些算法开放且灵活,可在各种软件和硬件平台上快速轻松地开发新应用程序,以满足电信和分布式医疗的需求应用程序。已经提出了所提出的算法,即节点状态算法和随机发送者发起的算法,以解决DSA面临的性能问题。测试了所提算法的性能,并与基准负载均衡算法(即随机算法和最短队列算法)进行了比较。仿真结果表明,所提出的两种算法都比基准算法性能更好,特别是在重载条件下。本文讨论了算法的机制,并报告了在比较基于DSA的网络上实现的负载平衡算法时所进行的研究,这对于医疗领域的分布式计算需求很有用。

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