Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/SEC.2016.24 | 2016 IEEE/ACM Symposium on Edge Computing (SEC) |
Keywords | Field | DocType |
GENI Racks,Distributed Testbeds,Network Slicing,Mobile Edge Computing,Virtual Basestation,4G small cell,Vehicular Networks,Connected Automated Vehicles (CAV) | Edge computing,Software deployment,Computer science,Computer security,Campus network,Computer network,Network topology,Mobile edge computing,Vehicular ad hoc network,Mobile telephony,Cloud computing | Conference |
ISBN | Citations | PageRank |
978-1-5090-3323-2 | 2 | 0.35 |
References | Authors | |
0 | 9 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Abhimanyu Gosain | 1 | 9 | 3.10 |
| Mark E. Berman | 2 | 347 | 19.64 |
| Marshall Brinn | 3 | 52 | 6.26 |
| Thomas Mitchell | 4 | 16 | 3.81 |
| Chuan Li | 5 | 2 | 0.35 |
| Yuehua Wang | 6 | 2 | 0.68 |
| Hai Jin | 7 | 10 | 1.50 |
| Jing Hua | 8 | 649 | 44.86 |
| Hongwei Zhang | 9 | 935 | 67.71 |