ThinGs in a Fog: System Illustration with Connected Vehicles

Anjan Rayamajhi; Mizanur Rahman; Manveen Kaur; Jianwei Liu; Mashrur Chowdhury; Hongxin Hu; Jerome McClendon; Kuang Ching Wang; Abhimanyu Gosain; Jim Martin

doi:10.1109/VTCSpring.2017.8108558

ThinGs in a Fog: System Illustration with Connected Vehicles

Anjan Rayamajhi
, Mizanur Rahman
, Manveen Kaur
, Jianwei Liu
, Mashrur Chowdhury
, Hongxin Hu
, Jerome McClendon
, Kuang Ching Wang
, Abhimanyu Gosain
, Jim Martin

Department of Computer Science and Engineering

BBN Technologies
Clemson University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

6 Scopus citations

Abstract

This paper presents ThinGs In a Fog (TGIF)- a system designed to support interdisciplinary research that fall under the broad context of the Internet of Things. The framework is based on an Edge Computing system design that distributes application processing to system compute nodes leveraging geographic compute location diversity of a Cloud-to-the-edge to support machine-to- machine interactions that potentially have real- time constraints. To provide further insight, we focus on Connected Vehicle as an exemplar application domain. This paper provides a summary of work-to-date, including results from a small prototype of the system deployed at Clemson University. We illustrate the system be presenting work-to-date on the design, implementation and evaluation of a Queue Warning which is an application that has been studied thoroughly by the transportation community. This particular application is nicely suited for illustrating the additional benefits and complexities associated with implementing well understood applications in emerging distributed computing environments expected to be supported by the IoT.

Original language	English
Title of host publication	2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509059324
DOIs	https://doi.org/10.1109/VTCSpring.2017.8108558
State	Published - Nov 14 2017
Event	85th IEEE Vehicular Technology Conference, VTC Spring 2017 - Sydney, Australia Duration: Jun 4 2017 → Jun 7 2017

Publication series

Name	IEEE Vehicular Technology Conference
Volume	2017-June
ISSN (Print)	1550-2252

Conference

Conference	85th IEEE Vehicular Technology Conference, VTC Spring 2017
Country/Territory	Australia
City	Sydney
Period	06/4/17 → 06/7/17

Keywords

Connected Vehicles
Data Semantics and Common Ontologies
Edge Computing
Fog Computing
Internet of Things
Wireless Sensing Networks

Access to Document

10.1109/VTCSpring.2017.8108558

Cite this

Rayamajhi, A., Rahman, M., Kaur, M., Liu, J., Chowdhury, M., Hu, H., McClendon, J., Wang, K. C., Gosain, A., & Martin, J. (2017). ThinGs in a Fog: System Illustration with Connected Vehicles. In 2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings Article 8108558 (IEEE Vehicular Technology Conference; Vol. 2017-June). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/VTCSpring.2017.8108558

@inproceedings{d0bff94056b041619c24595fba3de419,

title = "ThinGs in a Fog: System Illustration with Connected Vehicles",

abstract = "This paper presents ThinGs In a Fog (TGIF)- a system designed to support interdisciplinary research that fall under the broad context of the Internet of Things. The framework is based on an Edge Computing system design that distributes application processing to system compute nodes leveraging geographic compute location diversity of a Cloud-to-the-edge to support machine-to- machine interactions that potentially have real- time constraints. To provide further insight, we focus on Connected Vehicle as an exemplar application domain. This paper provides a summary of work-to-date, including results from a small prototype of the system deployed at Clemson University. We illustrate the system be presenting work-to-date on the design, implementation and evaluation of a Queue Warning which is an application that has been studied thoroughly by the transportation community. This particular application is nicely suited for illustrating the additional benefits and complexities associated with implementing well understood applications in emerging distributed computing environments expected to be supported by the IoT.",

keywords = "Connected Vehicles, Data Semantics and Common Ontologies, Edge Computing, Fog Computing, Internet of Things, Wireless Sensing Networks",

author = "Anjan Rayamajhi and Mizanur Rahman and Manveen Kaur and Jianwei Liu and Mashrur Chowdhury and Hongxin Hu and Jerome McClendon and Wang, \{Kuang Ching\} and Abhimanyu Gosain and Jim Martin",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 85th IEEE Vehicular Technology Conference, VTC Spring 2017 ; Conference date: 04-06-2017 Through 07-06-2017",

year = "2017",

month = nov,

day = "14",

doi = "10.1109/VTCSpring.2017.8108558",

language = "English",

series = "IEEE Vehicular Technology Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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}

Rayamajhi, A, Rahman, M, Kaur, M, Liu, J, Chowdhury, M, Hu, H, McClendon, J, Wang, KC, Gosain, A & Martin, J 2017, ThinGs in a Fog: System Illustration with Connected Vehicles. in 2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings., 8108558, IEEE Vehicular Technology Conference, vol. 2017-June, Institute of Electrical and Electronics Engineers Inc., 85th IEEE Vehicular Technology Conference, VTC Spring 2017, Sydney, Australia, 06/4/17. https://doi.org/10.1109/VTCSpring.2017.8108558

ThinGs in a Fog: System Illustration with Connected Vehicles. / Rayamajhi, Anjan; Rahman, Mizanur; Kaur, Manveen et al.
2017 IEEE 85th Vehicular Technology Conference, VTC Spring 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2017. 8108558 (IEEE Vehicular Technology Conference; Vol. 2017-June).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Rayamajhi, Anjan

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AU - Kaur, Manveen

AU - Liu, Jianwei

AU - Chowdhury, Mashrur

AU - Hu, Hongxin

AU - McClendon, Jerome

AU - Wang, Kuang Ching

AU - Gosain, Abhimanyu

AU - Martin, Jim

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N2 - This paper presents ThinGs In a Fog (TGIF)- a system designed to support interdisciplinary research that fall under the broad context of the Internet of Things. The framework is based on an Edge Computing system design that distributes application processing to system compute nodes leveraging geographic compute location diversity of a Cloud-to-the-edge to support machine-to- machine interactions that potentially have real- time constraints. To provide further insight, we focus on Connected Vehicle as an exemplar application domain. This paper provides a summary of work-to-date, including results from a small prototype of the system deployed at Clemson University. We illustrate the system be presenting work-to-date on the design, implementation and evaluation of a Queue Warning which is an application that has been studied thoroughly by the transportation community. This particular application is nicely suited for illustrating the additional benefits and complexities associated with implementing well understood applications in emerging distributed computing environments expected to be supported by the IoT.

AB - This paper presents ThinGs In a Fog (TGIF)- a system designed to support interdisciplinary research that fall under the broad context of the Internet of Things. The framework is based on an Edge Computing system design that distributes application processing to system compute nodes leveraging geographic compute location diversity of a Cloud-to-the-edge to support machine-to- machine interactions that potentially have real- time constraints. To provide further insight, we focus on Connected Vehicle as an exemplar application domain. This paper provides a summary of work-to-date, including results from a small prototype of the system deployed at Clemson University. We illustrate the system be presenting work-to-date on the design, implementation and evaluation of a Queue Warning which is an application that has been studied thoroughly by the transportation community. This particular application is nicely suited for illustrating the additional benefits and complexities associated with implementing well understood applications in emerging distributed computing environments expected to be supported by the IoT.

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PB - Institute of Electrical and Electronics Engineers Inc.

Y2 - 4 June 2017 through 7 June 2017

ER -

ThinGs in a Fog: System Illustration with Connected Vehicles

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Keywords

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