Research of Agent Based Multiple-Granularity Load Balancing Middleware for Service-Oriented Computing
With the rapid development of computer technology, the distributed applications scale up increasingly. Web service becomes more useful, and more software systems begin to make use of service-oriented architecture SOA. To improve the dependability and scalability of SOA, one effective way is to provide service replicas and balance loads among the replicas via adaptive load balancing service based on the middleware. By using middleware, we can satisfy the urgent demands of performance, scalability and availability in current distributed service-oriented applications. However, most of the current load-balancing middleware adopt the per-replica load monitoring granularity, and if multiple kinds of service groups are deployed to the same host problems will arise such as redundant load monitoring and weak scalability. To solve these problems, we design and imple-ment a multiple-granularity load balancing middleware model by using agents. In this paper, we will present the architecture of our model with the simulation results.
KeywordsLoad Balance Average Response Time Load Information Client Request Multiple Kind
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