Load Balancing Algorithms in Distributed Service Architectures for Medical Applications

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.