Show simple item record

dc.contributor.authorCozzolino, Ven
dc.contributor.authorOtt, Jen
dc.contributor.authorDIng, AYen
dc.contributor.authorMortier, Richarden
dc.date.accessioned2020-06-22T23:31:10Z
dc.date.available2020-06-22T23:31:10Z
dc.date.issued2020-05-21en
dc.identifier.isbn9781728166025en
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/307088
dc.description.abstract© 2020 IEEE. For road safety, detecting and reacting efficiently to road hazards is crucial and yet challenging due to practical restrictions such as limited data availability, which relies on network support. Moreover, from a system perspective we lack a computational model capable of providing to vehicles reliable and real-time assessment of the road context. As autonomous vehicles become widespread, the safety issues are further aggravated by the gap between cloud, roadside infrastructure and road users in terms of communication latency, software-hardware compatibility and data interoperability. To tackle this, we present ECCO: an orchestration framework that enables edge-cloud collaborative computing for road context assessment. ECCO can create on-demand task execution pipelines spanning multiple, potentially resource-constrained edge-nodes with the smart IoT infrastructure support. Our prototype lays the groundwork to support new services, which can use more efficiently the road infrastructure and deliver safety-critical applications for road users.
dc.publisherIEEE
dc.rightsAll rights reserved
dc.titleECCO: Edge-cloud chaining and orchestration framework for road context assessmenten
dc.typeConference Object
prism.endingPage230
prism.publicationDate2020en
prism.publicationNameProceedings - 5th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2020en
prism.startingPage223
dc.identifier.doi10.17863/CAM.54181
dcterms.dateAccepted2020-01-15en
rioxxterms.versionofrecord10.1109/IoTDI49375.2020.00029en
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserveden
rioxxterms.licenseref.startdate2020-05-21en
dc.contributor.orcidMortier, Richard [0000-0001-5205-5992]
rioxxterms.typeConference Paper/Proceeding/Abstracten
pubs.funder-project-idEPSRC (via University of Nottingham) (EP/M02315X/1)
pubs.funder-project-idEPSRC (via University of Nottingham) (EP/R03351X/1)
pubs.conference-name2020 IEEE/ACM Fifth International Conference on Internet-of-Things Design and Implementation (IoTDI)en
pubs.conference-start-date2020-04-21en
cam.orpheus.successThu Nov 05 11:52:07 GMT 2020 - Embargo updated*
rioxxterms.freetoread.startdate2021-05-21


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record