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Towards Seamless Resynchronization i...

Gao, Xiang.

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Towards Seamless Resynchronization in Active-Active Database Clustering.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Towards Seamless Resynchronization in Active-Active Database Clustering./
Author:	Gao, Xiang.
Description:	25 p.
Notes:	Source: Masters Abstracts International, Volume: 52-01.
Contained By:	Masters Abstracts International52-01(E).
Subject:	Computer science. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=1540722
ISBN:	9781303211089

Towards Seamless Resynchronization in Active-Active Database Clustering.
Gao, Xiang.

Towards Seamless Resynchronization in Active-Active Database Clustering. - 25 p.

Source: Masters Abstracts International, Volume: 52-01.

Thesis (M.S.)--State University of New York at Stony Brook, 2013.

Database clustering is a well-established technology to improve the availability and scalability of a database service. Query replication and log replication are two popular methods for propagating database updates across a cluster of database servers. An important issue that received relatively scant attention is how to add a new server to an active-active database cluster with minimum performance impacts on the clients. While log replication allows attaching a new database server without stopping the cluster's service, its asynchronous nature is incompatible with active-active clusters, where every cluster node could serve read queries. In contrast, query replication is synchronous and thus could readily support active-active clustering, but it needs to halt a cluster's service when attaching a new server. In this paper, we present a database re-synchronization scheme that leverages log replication to minimize the service disruption time of adding new servers to query-replication-based systems.

ISBN: 9781303211089Subjects--Topical Terms:

523869
Computer science.

Towards Seamless Resynchronization in Active-Active Database Clustering.
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500 $a Source: Masters Abstracts International, Volume: 52-01.
500 $a Adviser: Tzi-cker Chiueh.
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520 $a Database clustering is a well-established technology to improve the availability and scalability of a database service. Query replication and log replication are two popular methods for propagating database updates across a cluster of database servers. An important issue that received relatively scant attention is how to add a new server to an active-active database cluster with minimum performance impacts on the clients. While log replication allows attaching a new database server without stopping the cluster's service, its asynchronous nature is incompatible with active-active clusters, where every cluster node could serve read queries. In contrast, query replication is synchronous and thus could readily support active-active clustering, but it needs to halt a cluster's service when attaching a new server. In this paper, we present a database re-synchronization scheme that leverages log replication to minimize the service disruption time of adding new servers to query-replication-based systems.
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