Open AccessComparison Of Replication Strategies On Distributed Database Systems
Author(s) -
Nur Azizah,
Veranda Hartajaya,
Sandi Riady
Publication year - 2022
Publication title -
international journal of cyber and it service management/international journal of cyber and it service management
Language(s) - English
Resource type - Journals
eISSN - 2808-554X
pISSN - 2797-1325
DOI - 10.34306/ijcitsm.v2i1.70
Subject(s) - computer science , distributed database , database server , replication (statistics) , database , server , inefficiency , centralized database , database tuning , view , database testing , architecture , client–server model , distributed computing , database design , world wide web , art , statistics , mathematics , economics , visual arts , microeconomics
Today's computer applications have ever-increasing database system capabilities and performance. The growing amount of data that has to be processed in a business company makes centralized data processing ineffective. This inefficiency shows itself as a long reaction time. This is in direct opposition to the purpose of utilizing databases in data processing, which is to reduce the amount of time it takes to process data. Another database design is required to tackle this problem. Distributed database technology refers to an architecture in which several servers are linked together, and each one may process and fulfill local queries. Each participating server is responsible for serving one or more requests. In a multi-master replication scenario, all sites are main sites, and all main sites communicate with one another. The distributed database system comprises numerous linked computers that work together as a single system.