EdgeDrive: Supporting Advanced Driver Assistance Systems using Mobile Edge Clouds Networks

Sumit Maheshwari, Wuyang Zhang, Ivan Seskar, Yanyong Zhang, Dipankar Raychaudhuri

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

In this paper, we present EdgeDrive, a networked edge cloud services framework which can support low-latency applications during mobility taking into account needs of the driver, nature of the required service and key network features. We implement head-mounted device (HMD) based Augmented Reality (AR) ADAS applications such as navigation, weather notification and annotation based assistance to drive the evaluation. These services are then coupled with the Mobile Edge Clouds (MECs) wherein the container based service migration is enabled based upon migration cost and required Quality of Experience (QoE) to support mobility. An emulator based evaluation is carried out on the ORBIT testbed using realistic San Francisco taxicab traces running over nine edge cloud nodes and AR HMD being used by drivers. The experiments show that the EdgeDrive can support low-latency ADAS applications with an average system latency less than 100 ms for the applications under consideration.

Original languageEnglish (US)
Title of host publicationINFOCOM 2019 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages484-489
Number of pages6
ISBN (Electronic)9781728118789
DOIs
StatePublished - Apr 2019
Externally publishedYes
Event2019 INFOCOM IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019 - Paris, France
Duration: Apr 29 2019May 2 2019

Publication series

NameINFOCOM 2019 - IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019

Conference

Conference2019 INFOCOM IEEE Conference on Computer Communications Workshops, INFOCOM WKSHPS 2019
CountryFrance
CityParis
Period4/29/195/2/19

All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Signal Processing
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications

Keywords

  • ADAS
  • Augmented Reality
  • Cloud computing
  • Mobile Edge Cloud Computing
  • Service Migration
  • self-driving

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