A holistic architecture for the Internet of Things, sensing services and big data

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dc.contributor.authorTracey, David
dc.contributor.authorSreenan, Cormac J.
dc.date.accessioned2020-02-17T12:30:22Z
dc.date.available2020-02-17T12:30:22Z
dc.date.issued2013-05
dc.date.updated2020-02-17T12:12:25Z
dc.description.abstractWireless Sensor Networks (WSNs) increasingly enable the interaction of the physical world with services, which may be located across the Internet from the sensing network. Cloud services and big data approaches may be used to store and analyse this data to improve scalability and availability, which will be required for the billions of devices envisaged in the Internet of Things (IoT). This potential of WSNs is limited by the relatively low number deployed and the difficulties imposed by their heterogeneous nature and limited (or proprietary) development environments and interfaces. This paper proposes a set of requirements for achieving a pervasive, integrated information system of WSNs and associated services. It also presents an architecture which provides a set of abstractions for the different types of sensors and services, enabling them to take advantage of Big Data and cloud technologies and which is termed holistic as it caters for the data flow from sensors through to services. The architecture has been designed for implementation on a resource constrained node and to be extensible to server environments, shown in this paper where we present a 'C' implementation of the core architecture, including services on Linux and Contiki (using the Constrained Application Protocol (CoAP)) and a Linux service to integrate with the Hadoop HBase data store.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationTracey, D. and Sreenan, C. (2013) 'A Holistic Architecture for the Internet of Things, Sensing Services and Big Data', 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, Delft, Netherlands, 13-16 May 2013, pp. 546-553. doi: 10.1109/CCGrid.2013.100en
dc.identifier.doi10.1109/CCGrid.2013.100en
dc.identifier.endpage553en
dc.identifier.startpage546en
dc.identifier.urihttps://hdl.handle.net/10468/9654
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.urihttps://ieeexplore.ieee.org/document/6546137
dc.rights© 2013 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
dc.subjectC languageen
dc.subjectCloud computingen
dc.subjectInformation systemsen
dc.subjectInternet of Thingsen
dc.subjectLinuxen
dc.subjectPublic domain softwareen
dc.subjectSoftware architectureen
dc.subjectWireless sensor networksen
dc.subjectCloud servicesen
dc.subjectBig-data approachen
dc.subjectData analysisen
dc.subjectData storageen
dc.subjectScalability improvementen
dc.subjectAvailability improvementen
dc.subjectIoTen
dc.subjectWSNen
dc.subjectPervasive-integrated information systemen
dc.subjectHolistic architectureen
dc.subjectData flowen
dc.subjectResource constrained nodeen
dc.subjectContikien
dc.subjectConstrained Application Protocolen
dc.subjectCoAPen
dc.subjectLinux serviceen
dc.subjectHadoop HBase datastoreen
dc.subjectPeer-to-peer computingen
dc.subjectData modelsen
dc.subjectComputer architectureen
dc.subjectProtocolsen
dc.subjectInstrumentsen
dc.subjectBig dataen
dc.subjectTuple Spaceen
dc.subjectInformation Modelen
dc.titleA holistic architecture for the Internet of Things, sensing services and big dataen
dc.typeArticle (peer-reviewed)en
dc.typeConference itemen
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