An Improved Database Fragment Allocation Technique

Abstract

In recent time, different industries and organizations use distributed system for their day to day business transactions in different geographical zones. Issues relating to the complexity, maintenance, performance and communication cost of data in distributed data warehouse for processing of query, according to the request of end users from different zones have critically been observed. Distributed system enables the allocation of data as fragmented, duplicated and distributed over the Intranet or Internet within and crosswise an organization. In this work, we developed an improved database fragment allocation technique. Algorithm-genetic was deployed to allocate database fragments to individual sites haven collated these distributed systems to one central store. Object oriented analysis and design methodology (OOADM) was utilized in the methodical study and design of the system. To achieve this system, bootstrap, cascading Style Sheet (CSS) and JavaScript were employed. MongoDB database engine was introduced to obtain the database of the system. The obtained result is a system with external fragmented database that has capabilities of storing and saving to a central database. This system can be put into practice by every individual, organizations and establishments that have need to allocate fragments in a distributed system for a maximum reduction of process time, for easy access of data and complexity reduction