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

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dc.contributor.author Win, Me Me
dc.contributor.author Zaw, Win Win
dc.date.accessioned 2019-07-15T08:14:00Z
dc.date.available 2019-07-15T08:14:00Z
dc.date.issued 2010-12-16
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/904
dc.description.abstract In distributed database system, replicated databases are composed of many copies of databases distributed across different sites. Distributed applications frequently use replications to achieve higher level of performance, reliability and availability. The main challenge of database replication is to keep the data copies to be consistent in the presence of updates. In this paper, we study how the replicated databases can be prevented inconsistent data among users who access the replicated database simultaneously. Since, causal consistency perform operations that are causally related must be seen in causal order by all processes. Our study is focused on causally-consistent lazy model for a data-centric distributed application. For case study, we consider on Sale Ordering System. en_US
dc.language.iso en en_US
dc.publisher Fifth Local Conference on Parallel and Soft Computing en_US
dc.subject Replicated Database en_US
dc.subject Lazy Master Replication en_US
dc.subject Causally-Consistent en_US
dc.subject Data-Centric consistency model en_US
dc.title A study of Causally-Consistent Lazy Model for a Data-Centric Distributed Application en_US
dc.type Article en_US

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