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A Dynamic Replication for Periodic Transactions in Weather Forecast Data Distribution by ORDER-RS

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dc.contributor.author Khaing, Ei Ei
dc.date.accessioned 2019-09-23T04:27:23Z
dc.date.available 2019-09-23T04:27:23Z
dc.date.issued 2019-01
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/2237
dc.description.abstract Both scientific and business applications today are generating large amount of data, typical applications, produce a lot of data per year. In many cases, data may be produced, or required to be accessed/shared, at geographically distributed sites. Sharing of data in a distributed environment gives rise to many design issues e.g. access permissions, consistency issues, security. Thus, effective measures for easy storage and access of such distributed data are necessary. One of the effective measures to access data effectively in a geographically distributed environment is replication.Many real-time applications need data services in distributed environments. Replication can help distributed real-time database systems meet the stringent time requirements of application transactions.By replicating temporal data items, instead of initiating remote data access requests, transactions that need to read remote data can now access the locally available replicas. In this system presents a dynamic replication control algorithm, On-demand Real-time Decentralized Replication with Replica Sharing (ORDER-RS), designed for distributed real- time database systems.the algorithm decides where and how often the replicas are updated. In the propose system, the weather forecast data replicas are dynamically created upon the requests by the incoming transactions and their update frequencies are determined by the data freshness requirements of these transactions.This system is implemented using by C# programming language with Microsoft Access 2010 database. en_US
dc.language.iso en_US en_US
dc.title A Dynamic Replication for Periodic Transactions in Weather Forecast Data Distribution by ORDER-RS en_US
dc.type Thesis en_US


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