Intelligent Network Communications for Distributed Database Systems

Abstract

Customizing network sites have become an increasingly important issue in distributed database systems. This will improve the network system performance by reducing the number of communications required for query processing in terms of retrieval and update transactions. This paper presents an intelligent clustering method for distributed database system that provides a structure for organizing large number of network sites into a set of useful clusters to minimize transactions processing communications. It has been designed to divide the database network sites into a set of disjoint clusters based on a high performance clustering technique. This can reduce the amount of redundant data to be accessed and transferred among different sites, definitely increase the transaction performance, significantly improve database system response time, and result in better distributed network decision support. Experimental validations on real database applications at different networks connectivity are performed and the results demonstrate that the proposed method leads to precise solutions for the problems of data communication, allocation, and redundancy.