29 August 2016 Deployment of vehicular edge clouds: lessons and challenges
Author Affiliations +
Proceedings Volume 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016); 1003303 (2016); doi: 10.1117/12.2245290
Event: Eighth International Conference on Digital Image Processing (ICDIP 2016), 2016, Chengu, China
Abstract
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.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Rita Tse, Giovanni Pau, "Deployment of vehicular edge clouds: lessons and challenges", Proc. SPIE 10033, Eighth International Conference on Digital Image Processing (ICDIP 2016), 1003303 (29 August 2016); doi: 10.1117/12.2245290; http://dx.doi.org/10.1117/12.2245290
PROCEEDINGS
6 PAGES


SHARE
KEYWORDS
Sensors

Clouds

Fiber optic gyroscopes

Sensing systems

Analytics

Power supplies

Visual analytics

Back to Top