Publication:
Real-Time Big Data: the JUNIPER Approach

Simple item page
dc.affiliation.dptoUC3M. Departamento de Ingeniería Telemáticaes
dc.affiliation.grupoinvUC3M. Grupo de Investigación: Aplicaciones y Servicios Telemáticos (GAST)es
dc.contributor.authorAudsley, N. C.
dc.contributor.authorChan, Y.
dc.contributor.authorGray, I.
dc.contributor.authorWellings, A. J.
dc.contributor.editorCucinotta, Tommaso
dc.contributor.editorPautet, Laurent
dc.contributor.editorGarcía Valls, Marisol
dc.date.accessioned2014-11-13T11:03:54Z
dc.date.available2014-11-13T11:03:54Z
dc.date.issued2014-11
dc.descriptionREACTION 2014. 3rd International Workshop on Real-time and Distributed Computing in Emerging Applications. Rome, Italy. December 2nd, 2014.es
dc.description.abstractCloud computing offers the possibility for Cyber-Physical Systems (CPS) to offload computation and utilise large stored data sets in order to increase the overall system utility. However, for cloud platforms and applications to be effective for CPS, they need to exhibit real-time behaviour so that some level of performance can be guaranteed to the CPS. This paper considers the infrastructure developed by the EU JUNIPER project for enabling real-time big data systems to be built so that appropriate guarantees can be given to the CPS components. The technologies developed include a real-time Java programming approach, hardware acceleration to provide performance, and operating system resource manage-ment (time and disk) based upon resource reservation in order to enhance timeliness.es
dc.description.sponsorshipThis work is partially funded by the European Union’s Seventh Framework Programme under grant agreement FP7-ICT-611731en
dc.description.statusPublicadoes
dc.format.extent6es
dc.format.mimetypeapplication/pdf
dc.identifier.bibliographicCitationGarcía Valls, M. et al. (eds.) (2014). 3rd IEEE International Workshop on Real-time and distributed computing in emerging applications. (Co-located with 35th IEEE RTSS). Rome, Italy. December 2nd, 2014. Universidad Carlos III de Madrid, 9-14.es
dc.identifier.isbn978-84-697-1736-3
dc.identifier.publicationfirstpage9es
dc.identifier.publicationlastpage14es
dc.identifier.publicationtitleInternational Workshop on Real-Time and Distributed Computing in Emerging Applications (REACTION 2014)es
dc.identifier.urihttps://hdl.handle.net/10016/19686
dc.languageeng
dc.language.isoenges
dc.publisherUniversidad Carlos III de Madrides
dc.relation.eventdateDecember 2nd, 2014es
dc.relation.eventnumber3
dc.relation.eventplaceRome, Italyes
dc.relation.eventtitleInternational Workshop on Real-Time and Distributed Computing in Emerging Applications (REACTION)es
dc.rights© Copyright by the Authorses
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.rights.accessRightsopen accesses
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subject.ecienciaTelecomunicacioneses
dc.subject.otherSistemas en tiempo reales
dc.subject.otherSistemas distribuidoses
dc.subject.othercloud computinges
dc.subject.otherdistributed systemses
dc.subject.otherReal-time computinges
dc.titleReal-Time Big Data: the JUNIPER Approaches
dc.typeconference proceedings*
dc.type.hasVersionVoR*
dspace.entity.typePublication
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
real_REACTION_2014.pdf
Size:
664.27 KB
Format:
Adobe Portable Document Format
Download
Collections
REACTION 2014. Third IEEE International Workshop on Real-time and distributed computing in emerging applications