Fuzzy Logic Based Replica Management Infrastructure for Balanced Resource Allocation and Efficient Overload Control of the Complex Service-Oriented Applications

Abstract

For the complex service-oriented applications, the applications may be integrated by using the services across Internet, thus we should balance the load for the applications to enhance the resource’s utility and increase the throughput. To overcome the problem, one effective way is to make use of load balancing. Kinds of load balancing middleware have already been applied successfully in distributed computing. However, they don’t take the services types into consideration and for different services requested by clients the workload would be different out of sight. Furthermore, traditional load balancing middleware uses the fixed and static replica management and uses the load migration to relieve overload. However, for many complex service-oriented applications, the hosts may be heterogeneous and decentralized at all and load migration is not efficient for the existence of the delay. Furthermore, due to the global state uncertainty, there is no suitable mathematical model to characterize network behavior to predict the accurate task placement decision. Thus, we employ a fuzzy logic based autonomic replica management infrastructure to support fast response, hot-spot control and balanced resource allocation among different services. Corresponding simulation tests are implemented and their result s indicated that this model and its supplementary mechanisms are suitable to complex service-oriented applications.

This work was funded by the National Grand Fundamental Research 973 Program of China under Grant No.2005cb321804, the National High-Tech Research and Development Plan of China under Grant No.2004AA112020.