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dc.contributor.authorZhao, Jianxin R
dc.contributor.authorTiplea, Tudor
dc.contributor.authorMortier, Richard
dc.contributor.authorCrowcroft, Jonathon
dc.contributor.authorWang, Liang
dc.contributor.editorOtt, J
dc.contributor.editorDressler, F
dc.contributor.editorSaroiu, S
dc.contributor.editorDutta, P
dc.date.accessioned2018-09-08T06:33:18Z
dc.date.available2018-09-08T06:33:18Z
dc.date.issued2018
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/279876
dc.description.abstractMachine Learning (ML) techniques have begun to dominate data analytics applications and services. Recommendation systems are the driving force of online service providers such as Amazon. Finance analytics has quickly adopted ML to harness large volume of data in such areas as fraud detection and risk-management. Deep Neural Network (DNN) is the technology behind voice-based personal assistance, self-driving cars [1], image processing [3], etc. Many popular data analytics are deployed on cloud computing infrastructures. However, they require aggregating users’ data at central server for processing. This architecture is prone to issues such as increased service response latency, communication cost, single point failure, and data privacy concerns.
dc.description.sponsorshipThiswork is funded in part by the EPSRC Databox project (EP/N028260/2), NaaS (EP/K031724/2) and Contrive (EP/N028422/1).
dc.publisherACM
dc.titleData Analytics Service Composition and Deployment on IoT Devices.
dc.typeConference Object
prism.endingPage504
prism.publicationDate2018
prism.publicationNameMobiSys
prism.startingPage502
dc.identifier.doi10.17863/CAM.27244
dcterms.dateAccepted2018-06-01
rioxxterms.versionofrecord10.1145/3210240.3223570
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018
dc.contributor.orcidMortier, Richard [0000-0001-5205-5992]
dc.contributor.orcidCrowcroft, Jonathon [0000-0002-7013-0121]
dc.publisher.urlhttps://doi.org/10.1145/3210240
rioxxterms.typeConference Paper/Proceeding/Abstract
pubs.funder-project-idEPSRC (via University of Warwick) (RESWM34910001 CONTRIVE)
pubs.funder-project-idEPSRC (via Queen Mary University of London (QMUL)) (ECSA1W3R)
dc.identifier.urlhttps://doi.org/10.1145/3210240
pubs.conference-nameMobiSys 2018: The 16th Annual International Conference on Mobile Systems, Applications, and Services
pubs.conference-start-date2018-06-10
pubs.conference-finish-date2018-06-15


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