Simulation and analysis of performance prediction in Distributed Database design using OO approach

Abstract

Distributed databases have become necessity in the organizations, as applications are require data locally rather than remote locations. It is important to place data where the applications are required to process data. Data fragmentation and placement becomes a critical performance issue in Distributed Database design that has to be placed at different sites based on the usage of data. The performance of the application would become assessed and improved if it is properly fragment and allocate data during early design stages. In this paper, we proposed an algorithm by performing vertical fragmentation technique for the Distributed Database design for assessing the performance during early design stages. We simulated the algorithm with the case study. We used the proposed algorithm, Attribute Usage Matrix, and Random Number Generation technique for generating the values of Request Query, Arrival of Request, and Query generation. The Simulation results which helps the DBA to assess the performance of the proposed Distributed Database Design. The tool which helps the DBA to select the optimum design.