ECCO: Edge-cloud chaining and orchestration framework for road context assessment

Vittorio Cozzolino, Jorg Ott, Aaron Yi DIng, Richard Mortier

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 5th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2020
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages223-230
ISBN (Electronic)9781728166025
DOIs
Publication statusPublished - 2020
Event5th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2020 - Sydney, Australia
Duration: 21 Apr 202024 Apr 2020

Conference

Conference5th ACM/IEEE Conference on Internet of Things Design and Implementation, IoTDI 2020
CountryAustralia
CitySydney
Period21/04/2024/04/20
OtherVirtual/online event due to COVID-19

Keywords

  • Distributed systems
  • Edge computing
  • Unikernels

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