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dc.contributor.convenorRui Zhang
dc.contributor.authorTerry, J
dc.contributor.authorStantic, B
dc.contributor.authorSattar, A
dc.contributor.editorRui Zhang, Yanchun Zhang
dc.date.accessioned2018-02-22T12:00:10Z
dc.date.available2018-02-22T12:00:10Z
dc.date.issued2012
dc.date.modified2013-06-12T23:24:09Z
dc.identifier.isbn9781921770050
dc.identifier.issn1445-1336
dc.identifier.refurihttp://crpit.com/Vol124.html
dc.identifier.urihttp://hdl.handle.net/10072/49192
dc.description.abstractExisting methods for the management of multidimensional data typically do not scale well with an increased number of dimensions or require the unsupported augmentation of the kernel. However, the use of multidimensional data continues to grow in modern database applications, specifically in spatio-temporal databases. These systems produce vast volumes of multidimensional data, and as such, data is stored in commercial RDBMS. Therefore, the efficient management of such multidimensional data is crucial. Despite it being applicable to any multidimensional vector data, we consider Radio Frequency Identifications (RFID) systems in this work. Due to RFID's acceptance and rapid growth into new and complex applications, together with the fact that, as with commercial applications, its data is stored within commercial RDBMS, we have chosen RFID as a pertinent testbed. We show that its data can be represented as vectors in multidimensional space and that the VG-curve combined with Multidimensional Dynamic Clustering Primary Index, which can be integrated into commercial RDBMS, can be used to efficiently access such data. In an empirical study conducted on three, five and nine dimensional RFID data we show that the presented concept outperforms available off-the-shelf options with a fraction of the required space.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.format.extent290959 bytes
dc.format.mimetypeapplication/pdf
dc.languageEnglish
dc.language.isoeng
dc.publisherAustralian Computer Society
dc.publisher.placeAustralia
dc.publisher.urihttp://crpit.com/abstracts/CRPITV124Terry.html
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofconferencenameADC 2012
dc.relation.ispartofconferencetitleConferences in Research and Practice in Information Technology Series
dc.relation.ispartofdatefrom2012-01-31
dc.relation.ispartofdateto2012-02-03
dc.relation.ispartoflocationMelbourne, Australia
dc.relation.ispartofpagefrom117
dc.relation.ispartofpageto126
dc.relation.ispartofvolume124
dc.rights.retentionY
dc.subject.fieldofresearchData Structures
dc.subject.fieldofresearchcode080403
dc.titleIndexing RFID data using the VG-curve
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.rights.copyright© 2012 Australian Computer Society Inc. The attached file is reproduced here in accordance with the copyright policy of the publisher. Please refer to the conference's website for access to the definitive, published version.
gro.date.issued2012
gro.hasfulltextFull Text
gro.griffith.authorStantic, Bela
gro.griffith.authorSattar, Abdul
gro.griffith.authorTerry, Justin L.


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    Contains papers delivered by Griffith authors at national and international conferences.

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