2016 IEEE/ACM Symposium on Edge Computing (SEC) (2016)
Washington, DC, USA
Oct. 27, 2016 to Oct. 28, 2016
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/SEC.2016.24
This paper presents the architecture of GENI edge cloud computing network in the form of compute and storage resources, a mobile 4G cellular edge and a high speed campus network connecting these components. This deployment is available across fifty campuses in the US, all interconnected via a nationwide Layer-2 network. We present these capabilities in the context of vehicular sensing and control applications running on police patrol cars on the Wayne State University campus allowing end–users and researchers to collect rich datasets for public safety surveillance, vehicle internal-state sensing and modeling, and emulating next generation connected vehicle technologies. In particular, the paper provides insights about the usefulness of local edge computing cloud infrastructure for novel connected vehicle applications with high sensitivity to latency and bandwidth.
Topology, Vehicles, Network topology, Mobile communication, Wireless communication, Software
A. Gosain et al., "Enabling Campus Edge Computing Using GENI Racks and Mobile Resources," 2016 IEEE/ACM Symposium on Edge Computing (SEC), Washington, DC, USA, 2016, pp. 41-50.