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An Integrated Approach to Recovery and High Availability in an Updatable, Distributed Data Warehouse

Tags:
high availability

Overview Any highly available data warehouse will use some form of data replication to tolerate machine failures. This paper demonstrates that one can leverage this data redundancy to build an integrated approach to recovery and high availability. This approach, called HARBOR, revives a crashed site by querying remote, online sites for missing updates and uses timestamps to determine which tuples need to be copied or updated. HARBOR does not require a stable log, recovers without quiescing the system, allows replicated data to be stored non-identically, and is simpler than a log-based recovery algorithm. It compares the runtime overhead and recovery performance of HARBOR to those of two-phase commit and ARIES, the gold standard for log-based recovery, on a three-node distributed database system.

Further White Paper Details
Publisher	Association for Computing Machinery	File Format	PDF
Date Published	September 2006
Format	White Papers
Topics	High Availability, Business Intelligence - Data Warehousing

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