Edge chaining framework for black ice road fingerprinting

Vittorio Cozzolino, Aaron Yi Ding, Jörg Ott

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

2 Citations (Scopus)
117 Downloads (Pure)

Abstract

Detecting and reacting efficiently to road condition hazards are challenging given practical restrictions such as limited data availability and lack of infrastructure support. In this paper, we present an edge-cloud chaining solution that bridges the cloud and road infrastructures to enhance road safety. We exploit the roadside infrastructure (e.g., smart lampposts) to form a processing chain at the edge nodes and transmit the essential context to approaching vehicles providing what we refer as road fingerprinting. We approach the problem from two angles: first we focus on semantically defining how an execution pipeline spanning edge and cloud is composed, then we design, implement and evaluate a working prototype based on our assumptions. In addition, we present experimental insights and outline open challenges for next steps.

Original languageEnglish
Title of host publicationProceedings of the 2nd ACM International Workshop on Edge Systems, Analytics and Networking, Part of EuroSys 2019
Subtitle of host publicationEdgeSys 2019
EditorsAaron Yi Ding, Richard Mortier
Place of PublicationNew York, NY, USA
PublisherAssociation for Computing Machinery (ACM)
Pages42-47
Number of pages6
ISBN (Electronic)978-1-4503-6275-7
DOIs
Publication statusPublished - 2019
Event2nd ACM International Workshop on Edge Systems, Analytics and Networking, EdgeSys 2019, Part of EuroSys 2019 - Dresden, Germany
Duration: 25 Mar 201925 Mar 2019

Conference

Conference2nd ACM International Workshop on Edge Systems, Analytics and Networking, EdgeSys 2019, Part of EuroSys 2019
CountryGermany
CityDresden
Period25/03/1925/03/19

Keywords

  • Distributed systems
  • Edge computing
  • IoT

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  • Cite this

    Cozzolino, V., Ding, A. Y., & Ott, J. (2019). Edge chaining framework for black ice road fingerprinting. In A. Y. Ding, & R. Mortier (Eds.), Proceedings of the 2nd ACM International Workshop on Edge Systems, Analytics and Networking, Part of EuroSys 2019: EdgeSys 2019 (pp. 42-47). Association for Computing Machinery (ACM). https://doi.org/10.1145/3301418.3313944