Frequency : 12 issues per year
Subject : Computer Applications and Technology
ISSN : 2319–8656 (Online)
IJCATR Volume 8 Issue 5
Data Replication for the Distributed Database Using Decision Support Systems
P.Elango, Dr.K.Kuppusamy, N.Prabhu, Dr.N.M.Mallika
10.7753/IJCATR0805.1001
keywords : Cloud computing, Data mining, Data replication, Partial replication, cascades replication.
Replication is a subject of enthusiasm for the conveyed figuring, disseminated frameworks, and database networks. Choice emotionally supportive networks ended up pragmatic with the advancement of minicomputer, timeshare working frameworks and appropriated figuring. Reproduced information may get lacking because of framework disappointment, adaptation to internal failure, and unwavering quality. A halfway replication is quantized in the replication framework will expand the non repeated framework. Adaptation to internal failure is the property that empowers a framework (regularly PC based) to keep working legitimately. Exchange Processing Replication (TP-R) and Decision-bolster replication diagram (DDS-R) will clear the non copy and it is utilized to clear the server issues and framework blunder. This procedure is top notch in disseminated frameworks and it doesn't neglect to distinguish the framework blunders when different accesses are multiplexed.
@artical{p852019ijcatr08051001,
Title = "Data Replication for the Distributed Database Using Decision Support Systems",
Journal ="International Journal of Computer Applications Technology and Research(IJCATR)",
Volume = "8",
Issue ="5",
Pages ="149 - 152",
Year = "2019",
Authors ="P.Elango, Dr.K.Kuppusamy, N.Prabhu, Dr.N.M.Mallika"}
.