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- W62642616 abstract "Information systems have evolved from small servers to complex architectures that enable these systemsto operate most of the time as possible (high availability) and provide service to a number ofcustomers that increases everyday (scalability). That is translated into offering a 24x7 service (24hours a day, 7 days a week).Databases are a widely used solution for efficient data storage. However, a database by itself doesnot provide high availability since it is a single point of failure. Database replication provides highavailability. Having more than one data copies (replicas) at different nodes, if one or more nodes fail,the rest continue offering the service. Moreover, a replicated database can provide also scalability ifit can exploit the processing capacity of all nodes. This Ph.D. Thesis focuses on high performanceand high available replicated databases.Traditional solutions to database replication deal with full replication (each node stores a copy ofall data). Full replication offers limited scalability, even from a theoretical point of view [JPAK03].The limits come from maintaining consistency between replicas. That is, when a data is modified, itmust be done in all its replicas. This thesis has made a theoretical study of the potential scalability ofpartially replicated databases, where each node stores only part of the data and compares it against thescalability of full replication. It has been been also proposed, implemented and empirically evaluateddifferent partial replication protocols.Using partial replication it might happen that given a query, there could be no node able to executeit since the query accesses data that is not stored together. If that happens, the query is executedin multiple nodes and the execution time is increased because nodes executing it need to exchangemessages. This thesis proposes the use of optimization techniques to reduce the message exchangeratio. Specifically, it presents, implements and evaluates an autonomic reconfiguration mechanismthat determines the data distribution minimizing the query execution across multiple nodes.Finally, this thesis proposes and evaluates a recovery protocol [BHG87] for partially replicateddatabases that allows to reincorporate failed nodes. Traditionally, recovery implies to stop the systemin order to transfer data to the node that rejoins the system. This inactivity period does not fulfills therequirements of high availability. Therefore, this thesis has proposes an online recovery protocol, i.e.,without stopping the replicated database." @default.
- W62642616 created "2016-06-24" @default.
- W62642616 creator A5017652287 @default.
- W62642616 date "2010-01-01" @default.
- W62642616 modified "2023-09-27" @default.
- W62642616 title "High performance and high available database replication" @default.
- W62642616 hasPublicationYear "2010" @default.
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