Please use this identifier to cite or link to this item: http://repository.unizik.edu.ng/handle/123456789/579
Title: An Improved Database Fragment Allocation Technique
Authors: Ezeugbor, I.C
Okolo, C.C
Ogbunude, F.O
Asogwa, D.C
Keywords: Improved Model
Fragment Allocation
Distributed System
Genetic Technique
Communication
Issue Date: Dec-2021
Publisher: International Journal of Research Publication and Reviews
Citation: International Journal of Research Publication and Reviews, Vol 2, no 12, pp 712-720
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
Description: Scholarly Work
URI: www.ijrpr.com
http://repository.unizik.edu.ng/handle/123456789/579
ISSN: 2582-7421
Appears in Collections:Scholarly Works

Files in This Item:
File Description SizeFormat 
An Improved Database Fragment Allocation Technique Dec 2021.pdf492.01 kBAdobe PDFView/Open


Items in UnizikSpace are protected by copyright, with all rights reserved, unless otherwise indicated.