22nd International Conference on Data Engineering (ICDE'06) Inferring a Serialization Order for Distributed Transactions Atlanta, Georgia April 03-April 07 ISBN: 0-7695-2570-9
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICDE.2006.82
Data partitioning is often used to scale-up a database system. In a centralized database system, the serialization order of commited update transactions can be inferred from the database log. To achieve this in a shared-nothing distributed database, the serialization order of update transactions must be inferred from multiple database logs. We describe a technique to generate a single stream of updates from logs of multiple database systems. This single stream represents a valid serialization order of update transactions at the sites over which the database is partitioned.
Citation:
Khuzaima Daudjee, Kenneth Salem, "Inferring a Serialization Order for Distributed Transactions," icde, pp.154, 22nd International Conference on Data Engineering (ICDE'06), 2006 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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