DC Field | Value | Language |
---|---|---|
dc.contributor.author | Woo, SK | ko |
dc.contributor.author | Kim, Myoung Ho | ko |
dc.contributor.author | Lee, Yoon Joon | ko |
dc.date.accessioned | 2007-11-19T05:04:59Z | - |
dc.date.available | 2007-11-19T05:04:59Z | - |
dc.date.created | 2012-02-06 | - |
dc.date.issued | 2000-02 | - |
dc.identifier.citation | INFORMATION AND SOFTWARE TECHNOLOGY, v.42, no.3, pp.185 - 196 | - |
dc.identifier.issn | 0950-5849 | - |
dc.identifier.uri | http://hdl.handle.net/10203/2017 | - |
dc.description.abstract | In main memory databases, fuzzy checkpointing gives less transaction overhead due to its asynchronous backup feature. However, till now, fuzzy checkpointing has considered only physical logging schemes. The size of the physical log records is very large, and hence it incurs space and recovery processing overhead. In this paper, we propose a recovery method based on a hybrid logging scheme, which permits logical logging under fuzzy checkpointing. The proposed method significantly reduces the size of log data, and hence offers faster recovery processing than other conventional fuzzy checkpointing with physical logging. (C) 2000 Elsevier Science B.V. All rights reserved. | - |
dc.language | English | - |
dc.language.iso | en_US | en |
dc.publisher | ELSEVIER SCIENCE BV | - |
dc.subject | SYSTEMS | - |
dc.subject | PERFORMANCE | - |
dc.title | An effective recovery under fuzzy checkpointing in main memory databases | - |
dc.type | Article | - |
dc.identifier.wosid | 000085869600003 | - |
dc.identifier.scopusid | 2-s2.0-0033874777 | - |
dc.type.rims | ART | - |
dc.citation.volume | 42 | - |
dc.citation.issue | 3 | - |
dc.citation.beginningpage | 185 | - |
dc.citation.endingpage | 196 | - |
dc.citation.publicationname | INFORMATION AND SOFTWARE TECHNOLOGY | - |
dc.embargo.liftdate | 9999-12-31 | - |
dc.embargo.terms | 9999-12-31 | - |
dc.contributor.localauthor | Kim, Myoung Ho | - |
dc.contributor.localauthor | Lee, Yoon Joon | - |
dc.contributor.nonIdAuthor | Woo, SK | - |
dc.type.journalArticle | Article | - |
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