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dc.contributor.authorHan, Laipeng
dc.contributor.authorHuang, Lan
dc.contributor.authorYang, Xueyi
dc.contributor.authorPang, Wei
dc.contributor.authorWang, Kangping
dc.contributor.editorSun, X.
dc.contributor.editorLiu, A.
dc.contributor.editorChao, H.-C.
dc.contributor.editorBertino, E.
dc.date.accessioned2016-11-17T11:28:16Z
dc.date.available2016-11-17T11:28:16Z
dc.date.issued2016
dc.identifier72737673
dc.identifier1bc9f85b-2e47-4d2f-9dc5-d302e350755c
dc.identifier84997050495
dc.identifier.citationHan , L , Huang , L , Yang , X , Pang , W & Wang , K 2016 , A Novel Spatio-Temporal Data Storage and Index Method for ARM-Based Hadoop Server . in X Sun , A Liu , H-C Chao & E Bertino (eds) , Cloud Computing and Security : Second International Conference, ICCCS 2016. Lecture Notes in Computer Science . Information Systems and Applications, incl. Internet/Web, and HCI (Lecture Notes in Computer Science) , vol. 10039 , Springer , pp. 206-216 , Second International Conference, ICCCS 2016 , Nanjing , China , 29/07/16 . https://doi.org/10.1007/978-3-319-48671-0_19en
dc.identifier.citationconferenceen
dc.identifier.isbn978-3-319-48670-3
dc.identifier.isbn978-3-319-48671-0
dc.identifier.otherORCID: /0000-0002-1761-6659/work/59923337
dc.identifier.urihttp://hdl.handle.net/2164/7715
dc.descriptionThis project is supported by Science and Technology Development Plan of Jilin Province (20140204010SF) and Chinese National Natural Science Foundation (61472159). WP is supported by the PECE bursary from The Scottish Informatics and Computer Science Alliance (SICSA).en
dc.format.extent11
dc.format.extent319560
dc.language.isoeng
dc.publisherSpringer
dc.relation.ispartofCloud Computing and Securityen
dc.relation.ispartofseriesInformation Systems and Applications, incl. Internet/Web, and HCI (Lecture Notes in Computer Science)en
dc.subjectQA75 Electronic computers. Computer scienceen
dc.subject.lccQA75en
dc.titleA Novel Spatio-Temporal Data Storage and Index Method for ARM-Based Hadoop Serveren
dc.typeConference itemen
dc.contributor.institutionUniversity of Aberdeen.Computing Scienceen
dc.identifier.doi10.1007/978-3-319-48671-0_19


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