Challenges and Opportunities in Edge Computing

Blesson Varghese; Nan Wang; Sakil Barbhuiya; Peter Kilpatrick; Dimitrios S. Nikolopoulos

doi:10.1109/SmartCloud.2016.18

Challenges and Opportunities in Edge Computing

Blesson Varghese, Nan Wang, Sakil Barbhuiya, Peter Kilpatrick, Dimitrios S. Nikolopoulos

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

175 Citations (Scopus)

3623 Downloads (Pure)

Abstract

Many cloud-based applications employ a data centre as a central server to process data that is generated by edge devices, such as smartphones, tablets and wearables. This model places ever increasing demands on communication and computational infrastructure with inevitable adverse effect on Quality-of-Service and Experience. The concept of Edge Computing is predicated on moving some of this computational load towards the edge of the network to harness computational capabilities that are currently untapped in edge nodes, such as base stations, routers and switches. This position paper considers the challenges and opportunities that arise out of this new direction in the computing landscape.

Original language	English
Title of host publication	Proceedings of the IEEE International Conference on Smart Cloud (IEEE SmartCloud), 2016.
Publisher	IEEE
Number of pages	6
DOIs	https://doi.org/10.1109/SmartCloud.2016.18
Publication status	Published - 26 Dec 2016
Event	IEEE International Conference on Smart Cloud (IEEE SmartCloud), 2016 - New York, United States Duration: 18 Nov 2016 → 20 Nov 2016 http://csis.pace.edu/CSCloud/sc2016/index.html

Conference

Conference	IEEE International Conference on Smart Cloud (IEEE SmartCloud), 2016
Country/Territory	United States
City	New York
Period	18/11/2016 → 20/11/2016
Internet address	http://csis.pace.edu/CSCloud/sc2016/index.html

Bibliographical note

Acceptance Rate: 29%

Access to Document

10.1109/SmartCloud.2016.18Licence: Unspecified

Challenges and Opportunities in Edge Computing
© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Accepted author manuscript, 1.47 MBLicence: Unspecified

2 Active

R6529CSC: A Universal Micro-Server Ecosystem by Exceeding the Energy and Performance Scaling Boundaries
Karakonstantis, G., Nikolopoulos, D., O'Neill, M. & Vandierendonck, H.
17/12/2015 → …
Project: Research
R6410CSC: NanoStreams: A Hardware and Software Stack for Real-Time Analytics on Fast Data Streams
Nikolopoulos, D., Spence, I. & Woods, R.
01/08/2013 → …
Project: Research

Resource management for Edge computing systems
Author: Wang, N., Jul 2020
Supervisor: Varghese, B. (Supervisor), Nikolopoulos, D. (Supervisor) & Matthaiou, M. (Supervisor)
Student thesis: Doctoral Thesis › Doctor of Philosophy

File

Cite this

@inproceedings{0fcdd6a4f34540a9a5d9a9940f3ef108,

title = "Challenges and Opportunities in Edge Computing",

abstract = "Many cloud-based applications employ a data centre as a central server to process data that is generated by edge devices, such as smartphones, tablets and wearables. This model places ever increasing demands on communication and computational infrastructure with inevitable adverse effect on Quality-of-Service and Experience. The concept of Edge Computing is predicated on moving some of this computational load towards the edge of the network to harness computational capabilities that are currently untapped in edge nodes, such as base stations, routers and switches. This position paper considers the challenges and opportunities that arise out of this new direction in the computing landscape.",

author = "Blesson Varghese and Nan Wang and Sakil Barbhuiya and Peter Kilpatrick and Nikolopoulos, {Dimitrios S.}",

note = "Acceptance Rate: 29%; IEEE International Conference on Smart Cloud (IEEE SmartCloud), 2016 ; Conference date: 18-11-2016 Through 20-11-2016",

year = "2016",

month = dec,

day = "26",

doi = "10.1109/SmartCloud.2016.18",

language = "English",

booktitle = "Proceedings of the IEEE International Conference on Smart Cloud (IEEE SmartCloud), 2016.",

publisher = " IEEE ",

url = "http://csis.pace.edu/CSCloud/sc2016/index.html",

}

Varghese, B, Wang, N, Barbhuiya, S, Kilpatrick, P & Nikolopoulos, DS 2016, Challenges and Opportunities in Edge Computing. in Proceedings of the IEEE International Conference on Smart Cloud (IEEE SmartCloud), 2016. . IEEE , IEEE International Conference on Smart Cloud (IEEE SmartCloud), 2016, New York, United States, 18/11/2016. https://doi.org/10.1109/SmartCloud.2016.18

TY - GEN

T1 - Challenges and Opportunities in Edge Computing

AU - Varghese, Blesson

AU - Wang, Nan

AU - Barbhuiya, Sakil

AU - Kilpatrick, Peter

AU - Nikolopoulos, Dimitrios S.

N1 - Acceptance Rate: 29%

PY - 2016/12/26

Y1 - 2016/12/26

N2 - Many cloud-based applications employ a data centre as a central server to process data that is generated by edge devices, such as smartphones, tablets and wearables. This model places ever increasing demands on communication and computational infrastructure with inevitable adverse effect on Quality-of-Service and Experience. The concept of Edge Computing is predicated on moving some of this computational load towards the edge of the network to harness computational capabilities that are currently untapped in edge nodes, such as base stations, routers and switches. This position paper considers the challenges and opportunities that arise out of this new direction in the computing landscape.

AB - Many cloud-based applications employ a data centre as a central server to process data that is generated by edge devices, such as smartphones, tablets and wearables. This model places ever increasing demands on communication and computational infrastructure with inevitable adverse effect on Quality-of-Service and Experience. The concept of Edge Computing is predicated on moving some of this computational load towards the edge of the network to harness computational capabilities that are currently untapped in edge nodes, such as base stations, routers and switches. This position paper considers the challenges and opportunities that arise out of this new direction in the computing landscape.

U2 - 10.1109/SmartCloud.2016.18

DO - 10.1109/SmartCloud.2016.18

M3 - Conference contribution

BT - Proceedings of the IEEE International Conference on Smart Cloud (IEEE SmartCloud), 2016.

PB - IEEE

T2 - IEEE International Conference on Smart Cloud (IEEE SmartCloud), 2016

Y2 - 18 November 2016 through 20 November 2016

ER -

Challenges and Opportunities in Edge Computing

Abstract

Conference

Bibliographical note

Access to Document

Fingerprint

Projects

R6529CSC: A Universal Micro-Server Ecosystem by Exceeding the Energy and Performance Scaling Boundaries

R6410CSC: NanoStreams: A Hardware and Software Stack for Real-Time Analytics on Fast Data Streams

Student Theses

Resource management for Edge computing systems

Cite this