Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/62026
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dc.contributor.authorCheema, Muhammad Aamiren
dc.contributor.authorBrankovic, Ljiljanaen
dc.contributor.authorLin, Xueminen
dc.contributor.authorZhang, Wenjieen
dc.contributor.authorWang, Weien
dc.date.accessioned2024-08-08T03:00:42Z-
dc.date.available2024-08-08T03:00:42Z-
dc.date.issued2010-
dc.identifier.citationProceedings - International Conference on Data Engineering, p. 189-200en
dc.identifier.urihttps://hdl.handle.net/1959.11/62026-
dc.description.abstract<p>Given a positive value r, a circular range query returns the objects that lie within the distance r of the query location. In this paper, we study the circular range queries that continuously change their locations. We present an efficient and effective technique to monitor such moving range queries by utilising the concept of a safe zone. The safe zone of a query is the area with a property that while the query remains inside it, the results of the query remain unchanged. Hence, the query does not need to be re-evaluated unless it leaves the safe zone. The shape of the safe zone is defined by the so-called guard objects. The cost of checking whether a query lies in the safe zone takes k distance computations, where k is the number of the guard objects. Our contributions are as follows. 1) We propose a technique based on powerful pruning rules and a unique access order which efficiently computes the safe zone and minimizes the I/O cost. 2) To show the effectiveness of the safe zone, we theoretically evaluate the probability that a query leaves the safe zone within one time unit and the expected distance a query moves before it leaves the safe zone. Additionally, for the queries that have diameter of the safe zone less than its expected value multiplied by a constant, we also give an upper bound on the expected number of guard objects. This upper bound turns out to be a constant, that is, it does not depend either on the radius r of the query or the density of the objects. The theoretical analysis is verified by extensive experiments. 3) Our thorough experimental study demonstrates that our proposed approach is close to optimal and is an order of magnitude faster than a nai¿ve algorithm.</p>en
dc.languageenen
dc.publisherIEEEen
dc.relation.ispartofProceedings - International Conference on Data Engineeringen
dc.titleMulti-guarded safe zone: An effective technique to monitor moving circular range queriesen
dc.typeConference Publicationen
dc.relation.conferenceICDE 2010: 26th IEEE International Conference on Data Engineering (ICDE)en
dc.identifier.doi10.1109/ICDE.2010.5447864en
local.contributor.firstnameMuhammad Aamiren
local.contributor.firstnameLjiljanaen
local.contributor.firstnameXueminen
local.contributor.firstnameWenjieen
local.contributor.firstnameWeien
local.profile.schoolSchool of Science and Technologyen
local.profile.emaillbrankov@une.edu.auen
local.output.categoryE1en
local.record.placeauen
local.record.institutionUniversity of New Englanden
local.date.conference1st to 6th of March, 2010en
local.conference.placeLong Beach, CA, USAen
local.publisher.placeUnited States of Americaen
local.format.startpage189en
local.format.endpage200en
local.peerreviewedYesen
local.title.subtitleAn effective technique to monitor moving circular range queriesen
local.contributor.lastnameCheemaen
local.contributor.lastnameBrankovicen
local.contributor.lastnameLinen
local.contributor.lastnameZhangen
local.contributor.lastnameWangen
dc.identifier.staffune-id:lbrankoven
local.profile.orcid0000-0002-5056-4627en
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.profile.roleauthoren
local.identifier.unepublicationidune:1959.11/62026en
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
dc.identifier.academiclevelAcademicen
local.title.maintitleMulti-guarded safe zoneen
local.output.categorydescriptionE1 Refereed Scholarly Conference Publicationen
local.conference.detailsICDE 2010: 26th IEEE International Conference on Data Engineering (ICDE), Long Beach, CA, USA, 1st to 6th of March, 2010en
local.search.authorCheema, Muhammad Aamiren
local.search.authorBrankovic, Ljiljanaen
local.search.authorLin, Xueminen
local.search.authorZhang, Wenjieen
local.search.authorWang, Weien
local.uneassociationNoen
local.atsiresearchNoen
local.sensitive.culturalNoen
local.year.published2010en
local.subject.for2020460501 Data engineering and data scienceen
local.subject.for2020461305 Data structures and algorithmsen
local.subject.seo2020220499 Information systems, technologies and services not elsewhere classifieden
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
local.profile.affiliationtypeExternal Affiliationen
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School of Science and Technology
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