Show simple item record

dc.contributor.authorJouini, Khaled
dc.contributor.authorJomier, Geneviève
dc.date.accessioned2010-05-12T10:37:35Z
dc.date.available2010-05-12T10:37:35Z
dc.date.issued2007
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/4161
dc.language.isoenen
dc.subjectcomparisonen
dc.subjectperformance analysisen
dc.subjectbranched and multiversion dataen
dc.subjectIndex structuresen
dc.subject.ddc005.7en
dc.titleIndexing Multiversion Databasesen
dc.typeCommunication / Conférence
dc.description.abstractenAn efficient management of multiversion data with branched evolution is crucial for many applications. It requires database designers aware of tradeoffs among index structures and policies. This paper defines a framework and an analysis method for understanding the behavior of different indexing policies. Given data and query characteristics the analysis allows determining the most suitable index structure. The analysis is validated by an experimental study.en
dc.identifier.citationpages915-918en
dc.relation.ispartoftitleProceedings of the sixteenth ACM Conference on information and knowledge managementen
dc.relation.ispartofpublnameACMen
dc.relation.ispartofpublcityNew Yorken
dc.relation.ispartofdate2007
dc.description.sponsorshipprivateouien
dc.subject.ddclabelOrganisation des donnéesen
dc.relation.ispartofisbn978-1-59593-803-9en
dc.relation.conftitleACM 16th Conference on Information and Knowledge Management (CIKM'07)en
dc.relation.confdate2007-11
dc.relation.confcityLisbonneen
dc.relation.confcountryPortugalen
dc.identifier.doihttp://dx.doi.org/10.1145/1321440.1321574


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record