Deployment of vehicular edge clouds: Lessons and challenges

Rita Tse, Giovanni Pau

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


The notion of edge computing has gained much attraction in recent years as an enabling technology for smart city and internet of things applications. In this paper we report the system challenges and solutions encountered when designing and deploying the Macao Polytechnic Institute Smart City sensing system. A small fleet that serves as proof-of-concept for a country wide urban sensing system in Macao, S.A.R. We focus our attention on how a careful system design can ensure smooth operations and mitigate the natural tension between fleet owners and smart city operators. The first are keen to maximize the fleet operations and reduce the downtime, the later are interested in using the fleets to harvest high-quality and fine granularity sensor data. In designing the Macao Polytechnic Institute vehicular cloud we approached the design constraints and proposed system solutions to minimize the impact of the sensing platform on the fleet operations.

Original languageEnglish
Title of host publicationEighth International Conference on Digital Image Processing, ICDIP 2016
EditorsXudong Jiang, Charles M. Falco
ISBN (Electronic)9781510605039
Publication statusPublished - 2016
Event8th International Conference on Digital Image Processing, ICDIP 2016 - Chengu, China
Duration: 20 May 201623 May 2016

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X


Conference8th International Conference on Digital Image Processing, ICDIP 2016


  • Edge Cloud Computing
  • Fog Computing
  • Human Centric Computing.
  • Pervasive Computing
  • Urban Sensing
  • Vehicular Networks


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