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Deployment of vehicular edge clouds: Lessons and challenges

研究成果: Conference contribution同行評審

摘要

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.

原文English
主出版物標題Eighth International Conference on Digital Image Processing, ICDIP 2016
編輯Xudong Jiang, Charles M. Falco
發行者SPIE
ISBN(電子)9781510605039
DOIs
出版狀態Published - 2016
事件8th International Conference on Digital Image Processing, ICDIP 2016 - Chengu, China
持續時間: 20 5月 201623 5月 2016

出版系列

名字Proceedings of SPIE - The International Society for Optical Engineering
10033
ISSN(列印)0277-786X
ISSN(電子)1996-756X

Conference

Conference8th International Conference on Digital Image Processing, ICDIP 2016
國家/地區China
城市Chengu
期間20/05/1623/05/16

UN SDG

此研究成果有助於以下永續發展目標

  1. Sustainable cities and communities
    Sustainable cities and communities

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