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A study of Causally-Consistent Lazy Model for a Data-Centric Distributed Application

http://hdl.handle.net/20.500.12678/0000005008
db3328c7-b9a1-491a-ae57-9b3d646510de
f0014ea6-b3c1-4af3-8616-fab60966ae32
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psc2010paper psc2010paper (158).pdf (120 Kb)
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Article
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Title
Title A study of Causally-Consistent Lazy Model for a Data-Centric Distributed Application
Language en
Publication date 2010-12-16
Authors
Win, Me Me
Zaw, Win Win
Description
In distributed database system, replicateddatabases are composed of many copies of databasesdistributed across different sites. Distributedapplications frequently use replications to achievehigher level of performance, reliability andavailability. The main challenge of databasereplication is to keep the data copies to be consistentin the presence of updates. In this paper, we studyhow the replicated databases can be preventedinconsistent data among users who access thereplicated database simultaneously. Since, causalconsistency perform operations that are causallyrelated must be seen in causal order by all processes.Our study is focused on causally-consistent lazymodel for a data-centric distributed application. Forcase study, we consider on Sale Ordering System.
Keywords
Replicated Database, Lazy Master Replication, Causally-Consistent, Data-Centric consistency model
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/904
Journal articles
Fifth Local Conference on Parallel and Soft Computing
Conference papers
Books/reports/chapters
Thesis/dissertations
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