Logging and Recovery in a Highly Concurrent Database

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/6782

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DC Field	Value	Language
dc.creator	Keen, John S.	-
dc.date	2004-10-20T14:45:34Z	-
dc.date	2004-10-20T14:45:34Z	-
dc.date	1994-06-01	-
dc.date.accessioned	2013-10-09T02:46:51Z	-
dc.date.available	2013-10-09T02:46:51Z	-
dc.date.issued	2013-10-09	-
dc.identifier	AITR-1492	-
dc.identifier	http://hdl.handle.net/1721.1/6782	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/xmlui/handle/1721	-
dc.description	This report addresses the problem of fault tolerance to system failures for database systems that are to run on highly concurrent computers. It assumes that, in general, an application may have a wide distribution in the lifetimes of its transactions. Logging remains the method of choice for ensuring fault tolerance. Generational garbage collection techniques manage the limited disk space reserved for log information; this technique does not require periodic checkpoints and is well suited for applications with a broad range of transaction lifetimes. An arbitrarily large collection of parallel log streams provide the necessary disk bandwidth.	-
dc.format	183 p.	-
dc.format	737869 bytes	-
dc.format	2582967 bytes	-
dc.format	application/octet-stream	-
dc.format	application/pdf	-
dc.language	en_US	-
dc.relation	AITR-1492	-
dc.subject	databases	-
dc.subject	fault tolerance	-
dc.subject	transaction processing	-
dc.subject	sconcurrency	-
dc.subject	logging and recovery	-
dc.title	Logging and Recovery in a Highly Concurrent Database	-
Appears in Collections:	MIT Items

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