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.
