Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/96220
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dc.contributorDepartment of Computing-
dc.creatorLiao, Ben_US
dc.creatorU, LHen_US
dc.creatorYiu, MLen_US
dc.creatorGong, Zen_US
dc.date.accessioned2022-11-14T04:06:58Z-
dc.date.available2022-11-14T04:06:58Z-
dc.identifier.issn1041-4347en_US
dc.identifier.urihttp://hdl.handle.net/10397/96220-
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineersen_US
dc.rights© 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en_US
dc.rightsThe following publication B. Liao, L. H. U, M. L. Yiu and Z. Gong, "Beyond Millisecond Latency $k$ NN Search on Commodity Machine," in IEEE Transactions on Knowledge and Data Engineering, vol. 27, no. 10, pp. 2618-2631, 1 Oct. 2015 is available at https://doi.org/10.1109/TKDE.2015.2426702.en_US
dc.subjectNearest neighbor searchesen_US
dc.subjectOverlay networksen_US
dc.subjectSpatial databasesen_US
dc.titleBeyond millisecond latency kNN search on commodity machineen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage2618en_US
dc.identifier.epage2631en_US
dc.identifier.volume27en_US
dc.identifier.issue10en_US
dc.identifier.doi10.1109/TKDE.2015.2426702en_US
dcterms.abstractThe k nearest neighbor (k NN) search on road networks is an important function in web mapping services. These services are now dealing with rapidly arriving queries, that are issued by a massive amount of users. While overlay graph-based indices can answer shortest path queries efficiently, there have been no studies on utilizing such indices to answer k NN queries efficiently. In this paper, we fill this research gap and present two efficient k NN search solutions on overlay graph-based indices. Experimental results show that our solutions offer very low query latency (0.1 ms) and require only small index sizes, even for 10-million-node networks.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationIEEE transactions on knowledge and data engineering, 1 Oct. 2015, v. 27, no. 10, 2426702, p. 2618-2631en_US
dcterms.isPartOfIEEE transactions on knowledge and data engineeringen_US
dcterms.issued2015-10-01-
dc.identifier.scopus2-s2.0-84941367984-
dc.identifier.eissn1558-2191en_US
dc.identifier.artn2426702en_US
dc.description.validate202211 bcww-
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberRGC-B3-0792-
dc.description.fundingSourceRGCen_US
dc.description.pubStatusPublisheden_US
dc.description.oaCategoryGreen (AAM)en_US
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