Standard
On developing smart transportation applications in fog computing paradigm. / Giang, Nam Ky; Leung, Victor C.M.
; Lea, Rodger.
DIVANet 2016 - Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, co-located with MSWiM 2016. New York: Association for Computing Machinery, Inc, 2016. p. 91-98 (DIVANet 2016 - Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, co-located with MSWiM 2016).
Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review
Harvard
Giang, NK, Leung, VCM
& Lea, R 2016,
On developing smart transportation applications in fog computing paradigm. in
DIVANet 2016 - Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, co-located with MSWiM 2016. DIVANet 2016 - Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, co-located with MSWiM 2016, Association for Computing Machinery, Inc, New York, pp. 91-98, 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, DIVANet 2016, Malta, Malta,
13/11/16.
https://doi.org/10.1145/2989275.2989286APA
Vancouver
Giang NK, Leung VCM
, Lea R.
On developing smart transportation applications in fog computing paradigm. In DIVANet 2016 - Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, co-located with MSWiM 2016. New York: Association for Computing Machinery, Inc. 2016. p. 91-98. (DIVANet 2016 - Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, co-located with MSWiM 2016). doi: 10.1145/2989275.2989286
Author
Giang, Nam Ky ; Leung, Victor C.M.
; Lea, Rodger. /
On developing smart transportation applications in fog computing paradigm. DIVANet 2016 - Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, co-located with MSWiM 2016. New York : Association for Computing Machinery, Inc, 2016. pp. 91-98 (DIVANet 2016 - Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, co-located with MSWiM 2016).
Bibtex
@inproceedings{36ca913394cb4bec9fbc6af294139085,
title = "On developing smart transportation applications in fog computing paradigm",
abstract = "Smart Transportation applications by nature are examples of Vehicular Ad-hoc Network (VANETs) applications where mobile vehicles, roadside units and transportation infrastructure interplay with one another to provide value added services. While there are abundant researches that focused on the communication aspect of such Mobile Ad-hoc Networks, there are few research bodies that target the development of VANET applications. Among the popular VANET applications, a dominant direction is to leverage Cloud infrastructure to execute and deliver applications and services. Recent studies showed that Cloud Computing is not sufi- cient for many VANET applications due to the mobility of vehicles and the latency sensitive requirements they impose. To this end, Fog Computing has been proposed to leverage computation infrastructure that is closer to the network edge to compliment Cloud Computing in providing latencysensitive applications and services. However, applications development in Fog environment is much more challenging than in the Cloud due to the distributed nature of Fog systems. In this paper, we investigate how Smart Transportation applications are developed following Fog Computing approach, their challenges and possible mitigation from the state of the arts.",
keywords = "Fog computing, Internet of things, Programming model, Smart transportation",
author = "Giang, {Nam Ky} and Leung, {Victor C.M.} and Rodger Lea",
note = "Publisher Copyright: {\textcopyright} 2016 ACM.; 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, DIVANet 2016 ; Conference date: 13-11-2016 Through 17-11-2016",
year = "2016",
month = nov,
day = "13",
doi = "10.1145/2989275.2989286",
language = "English",
series = "DIVANet 2016 - Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, co-located with MSWiM 2016",
publisher = "Association for Computing Machinery, Inc",
pages = "91--98",
booktitle = "DIVANet 2016 - Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, co-located with MSWiM 2016",
}
RIS
TY - GEN
T1 - On developing smart transportation applications in fog computing paradigm
AU - Giang, Nam Ky
AU - Leung, Victor C.M.
AU - Lea, Rodger
N1 - Publisher Copyright:
© 2016 ACM.
PY - 2016/11/13
Y1 - 2016/11/13
N2 - Smart Transportation applications by nature are examples of Vehicular Ad-hoc Network (VANETs) applications where mobile vehicles, roadside units and transportation infrastructure interplay with one another to provide value added services. While there are abundant researches that focused on the communication aspect of such Mobile Ad-hoc Networks, there are few research bodies that target the development of VANET applications. Among the popular VANET applications, a dominant direction is to leverage Cloud infrastructure to execute and deliver applications and services. Recent studies showed that Cloud Computing is not sufi- cient for many VANET applications due to the mobility of vehicles and the latency sensitive requirements they impose. To this end, Fog Computing has been proposed to leverage computation infrastructure that is closer to the network edge to compliment Cloud Computing in providing latencysensitive applications and services. However, applications development in Fog environment is much more challenging than in the Cloud due to the distributed nature of Fog systems. In this paper, we investigate how Smart Transportation applications are developed following Fog Computing approach, their challenges and possible mitigation from the state of the arts.
AB - Smart Transportation applications by nature are examples of Vehicular Ad-hoc Network (VANETs) applications where mobile vehicles, roadside units and transportation infrastructure interplay with one another to provide value added services. While there are abundant researches that focused on the communication aspect of such Mobile Ad-hoc Networks, there are few research bodies that target the development of VANET applications. Among the popular VANET applications, a dominant direction is to leverage Cloud infrastructure to execute and deliver applications and services. Recent studies showed that Cloud Computing is not sufi- cient for many VANET applications due to the mobility of vehicles and the latency sensitive requirements they impose. To this end, Fog Computing has been proposed to leverage computation infrastructure that is closer to the network edge to compliment Cloud Computing in providing latencysensitive applications and services. However, applications development in Fog environment is much more challenging than in the Cloud due to the distributed nature of Fog systems. In this paper, we investigate how Smart Transportation applications are developed following Fog Computing approach, their challenges and possible mitigation from the state of the arts.
KW - Fog computing
KW - Internet of things
KW - Programming model
KW - Smart transportation
U2 - 10.1145/2989275.2989286
DO - 10.1145/2989275.2989286
M3 - Conference contribution/Paper
AN - SCOPUS:85006968302
T3 - DIVANet 2016 - Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, co-located with MSWiM 2016
SP - 91
EP - 98
BT - DIVANet 2016 - Proceedings of the 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, co-located with MSWiM 2016
PB - Association for Computing Machinery, Inc
CY - New York
T2 - 6th ACM Symposium on Development and Analysis of Intelligent Vehicular Networks and Applications, DIVANet 2016
Y2 - 13 November 2016 through 17 November 2016
ER -
