research-article

Edge Chaining Framework for Black Ice Road Fingerprinting

Authors:

Vittorio Cozzolino,

Jörg OttAuthors Info & Claims

EdgeSys '19: Proceedings of the 2nd International Workshop on Edge Systems, Analytics and Networking

Pages 42 - 47

https://doi.org/10.1145/3301418.3313944

Published: 25 March 2019 Publication History

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.

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Cited By

Kumar VSingh RGehlot AAkram SThakur AAseer RPriyadarshi NTwala B(2024)Various computational methods for highway health monitoring in terms of detection of black ice: a sustainable approach in Indian contextDiscover Sustainability10.1007/s43621-024-00466-15:1Online publication date: 5-Sep-2024
https://doi.org/10.1007/s43621-024-00466-1
Gropengießer ULiphardt JMatthe MMühlhäuser MSha KBanerjee SChen J(2023)Poster: (Re)-Configuration Framework for Mission-Critical Applications in Edge EnvironmentsProceedings of the Eighth ACM/IEEE Symposium on Edge Computing10.1145/3583740.3626628(264-266)Online publication date: 6-Dec-2023
https://dl.acm.org/doi/10.1145/3583740.3626628
Gropengießer UBrandherm FMühlhäuser MSha KBanerjee SChen J(2023)Poster: Processing of Latency- and Deadline-aware Big Data Approaches at the EdgeProceedings of the Eighth ACM/IEEE Symposium on Edge Computing10.1145/3583740.3626623(255-257)Online publication date: 6-Dec-2023
https://dl.acm.org/doi/10.1145/3583740.3626623
Show More Cited By

Index Terms

Edge Chaining Framework for Black Ice Road Fingerprinting
1. Computer systems organization
  1. Architectures
    1. Distributed architectures
  2. Embedded and cyber-physical systems

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cover image ACM Conferences

EdgeSys '19: Proceedings of the 2nd International Workshop on Edge Systems, Analytics and Networking

March 2019

71 pages

ISBN:9781450362757

DOI:10.1145/3301418

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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SIGOPS: ACM Special Interest Group on Operating Systems

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 25 March 2019

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EuroSys '19

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SIGOPS

EuroSys '19: Fourteenth EuroSys Conference 2019

March 25, 2019

Dresden, Germany

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Overall Acceptance Rate 10 of 23 submissions, 43%

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EuroSys '25

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Twentieth European Conference on Computer Systems

March 30 - April 3, 2025

Rotterdam , Netherlands

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Cited By

Kumar VSingh RGehlot AAkram SThakur AAseer RPriyadarshi NTwala B(2024)Various computational methods for highway health monitoring in terms of detection of black ice: a sustainable approach in Indian contextDiscover Sustainability10.1007/s43621-024-00466-15:1Online publication date: 5-Sep-2024
https://doi.org/10.1007/s43621-024-00466-1
Gropengießer ULiphardt JMatthe MMühlhäuser MSha KBanerjee SChen J(2023)Poster: (Re)-Configuration Framework for Mission-Critical Applications in Edge EnvironmentsProceedings of the Eighth ACM/IEEE Symposium on Edge Computing10.1145/3583740.3626628(264-266)Online publication date: 6-Dec-2023
https://dl.acm.org/doi/10.1145/3583740.3626628
Gropengießer UBrandherm FMühlhäuser MSha KBanerjee SChen J(2023)Poster: Processing of Latency- and Deadline-aware Big Data Approaches at the EdgeProceedings of the Eighth ACM/IEEE Symposium on Edge Computing10.1145/3583740.3626623(255-257)Online publication date: 6-Dec-2023
https://dl.acm.org/doi/10.1145/3583740.3626623
Brandherm FGedeon JAbboud OMuhlhauser M(2022)BigMEC: Scalable Service Migration for Mobile Edge Computing2022 IEEE/ACM 7th Symposium on Edge Computing (SEC)10.1109/SEC54971.2022.00018(136-148)Online publication date: Dec-2022
https://doi.org/10.1109/SEC54971.2022.00018
Watanabe HSato TKondo TTeraoka F(2021)AFC: A Mechanism for Distributed Data Processing in Edge/Fog Computing2021 IEEE Global Communications Conference (GLOBECOM)10.1109/GLOBECOM46510.2021.9685467(01-07)Online publication date: Dec-2021
https://doi.org/10.1109/GLOBECOM46510.2021.9685467
Gedeon JBrandherm FEgert RGrube TMuhlhauser M(2019)What the Fog? Edge Computing Revisited: Promises, Applications and Future ChallengesIEEE Access10.1109/ACCESS.2019.2948399(1-1)Online publication date: 2019
https://doi.org/10.1109/ACCESS.2019.2948399

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