2026-07-24T00:04:24Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:1692 2024-03-06T11:08:10Z ddc:004 open_access

Optimizing XML Compression in XQueC Arion, Andrei Bonifati, Angela Manolescu, Ioana Pugliese, Andrea XML compression We present our approach to the problem of optimizing compression choices in the context of the XQueC compressed XML database system. In XQueC, data items are aggregated into containers, which are further grouped to be compressed together. This way, XQueC is able to exploit data commonalities and to perform query evaluation in the compressed domain, with the aim of improving both compression and querying performance. However, different compression algorithms have different performance and support different sets of operations in the compressed domain. Therefore, choosing how to group containers and which compression algorithm to apply to each group is a challenging issue. We address this problem through an appropriate cost model and a suitable blend of heuristics which, based on a given query workload, are capable of driving appropriate compression choices. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Andrei Arion and Angela Bonifati and Ioana Manolescu and Andrea Pugliese 2008 Is Part Of Dagstuhl Seminar Proceedings, Volume 8261, Structure-Based Compression of Complex Massive Data (2008) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/DagSemProc.08261.9 urn:nbn:de:0030-drops-16924 https://drops.dagstuhl.de/entities/document/10.4230/DagSemProc.08261.9 eng https://creativecommons.org/licenses/by/4.0/legalcode