Towards edge-cloud computing

Huaglory Tianfield

doi:10.1109/BigData.2018.8622052

Towards edge-cloud computing

Huaglory Tianfield

Computing

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

21 Citations (Scopus)

444 Downloads (Pure)

Abstract

In this paper, we propose edge-cloud computing as a new framework for organizing the data pipeline functions, i.e., acquisition, processing and analytics, in the Internet of Things systems. Edge-cloud computing consists of three layers, namely smart edge devices, fog computing layer and cloud computing layer. Being an intrinsically hierarchical framework, edge-cloud computing is able to tackle the complexities of Internet of Things systems more fundamentally. In particular, we discuss the main roles of orchestration and intermediary that fog computing undertakes for microservices and cloud services, and the fundamental underpinning function – automated service provisioning in fog computing.

Original language	English
Title of host publication	2018 IEEE International Conference on Big Data
Editors	Naoki Abe, Huan Liu, Calton Pu, Xiaohua Hu, Nesreen Ahmed, Mu Qiao, Yang Song, Donald Kossmann, Bing Liu, Kisung Lee, Jiliang Tang, Jingrui He, Jeffrey Saltz
Publisher	IEEE
Pages	4883-4885
Number of pages	3
ISBN (Electronic)	9781538650356
ISBN (Print)	9781538650356
DOIs	https://doi.org/10.1109/BigData.2018.8622052
Publication status	Published - 24 Jan 2019
Event	2018 IEEE International Conference on Big Data - Westin Seattle, Seattle, United States Duration: 10 Dec 2018 → 13 Dec 2018 http://cci.drexel.edu/bigdata/bigdata2018/index.html

Publication series

Name	Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018

Conference

Conference	2018 IEEE International Conference on Big Data
Abbreviated title	IEEE BigData'2018
Country/Territory	United States
City	Seattle
Period	10/12/18 → 13/12/18
Internet address	http://cci.drexel.edu/bigdata/bigdata2018/index.html

Keywords

cyber-physical cloud computing
fog computing
Internet of Things
service provisioning
service orchestration

ASJC Scopus subject areas

Information Systems
Computer Science Applications

Documents and Links

10.1109/BigData.2018.8622052

Tianfield, H. (2019) Towards edge-cloud computing
Copyright © 2019 IEEE. This is the a post-peer review, pre-copy edited version of the article published in 2018 IEEE International Conference on Big Data and may differ slightly from the final published version of the work. This work is made available in line with the publisher policy. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, 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 components of this work in other works.
Author accepted manuscript, 323 KB

Cite this

Tianfield, H. (2019). Towards edge-cloud computing. In N. Abe, H. Liu, C. Pu, X. Hu, N. Ahmed, M. Qiao, Y. Song, D. Kossmann, B. Liu, K. Lee, J. Tang, J. He, & J. Saltz (Eds.), 2018 IEEE International Conference on Big Data (pp. 4883-4885). (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018). IEEE. https://doi.org/10.1109/BigData.2018.8622052

Tianfield, Huaglory. / Towards edge-cloud computing. 2018 IEEE International Conference on Big Data. editor / Naoki Abe ; Huan Liu ; Calton Pu ; Xiaohua Hu ; Nesreen Ahmed ; Mu Qiao ; Yang Song ; Donald Kossmann ; Bing Liu ; Kisung Lee ; Jiliang Tang ; Jingrui He ; Jeffrey Saltz. IEEE, 2019. pp. 4883-4885 (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

@inproceedings{d39fc34b2f5844d5ad6204eea273f4b6,

title = "Towards edge-cloud computing",

abstract = "In this paper, we propose edge-cloud computing as a new framework for organizing the data pipeline functions, i.e., acquisition, processing and analytics, in the Internet of Things systems. Edge-cloud computing consists of three layers, namely smart edge devices, fog computing layer and cloud computing layer. Being an intrinsically hierarchical framework, edge-cloud computing is able to tackle the complexities of Internet of Things systems more fundamentally. In particular, we discuss the main roles of orchestration and intermediary that fog computing undertakes for microservices and cloud services, and the fundamental underpinning function – automated service provisioning in fog computing.",

keywords = "cyber-physical cloud computing, fog computing, Internet of Things, service provisioning, service orchestration",

author = "Huaglory Tianfield",

note = "Acceptance in SAN Author confirmed formal conf proc; yet to show on IEEE digital database. 10/01/19 DC. Paper not easy to find - paper title and proceedings title both not indexed via search engine, instead author confirmed need to go into IEEE Xplore > advanced search (see email 2/5/19). Caused delay in publication status change. ET 2/5/19 ; 2018 IEEE International Conference on Big Data , IEEE BigData'2018 ; Conference date: 10-12-2018 Through 13-12-2018",

year = "2019",

month = jan,

day = "24",

doi = "10.1109/BigData.2018.8622052",

language = "English",

isbn = "9781538650356",

series = "Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018",

publisher = "IEEE",

pages = "4883--4885",

editor = "Naoki Abe and Huan Liu and Calton Pu and Xiaohua Hu and Nesreen Ahmed and Mu Qiao and Yang Song and Donald Kossmann and Bing Liu and Kisung Lee and Jiliang Tang and Jingrui He and Jeffrey Saltz",

booktitle = "2018 IEEE International Conference on Big Data",

address = "United States",

url = "http://cci.drexel.edu/bigdata/bigdata2018/index.html",

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Tianfield, H 2019, Towards edge-cloud computing. in N Abe, H Liu, C Pu, X Hu, N Ahmed, M Qiao, Y Song, D Kossmann, B Liu, K Lee, J Tang, J He & J Saltz (eds), 2018 IEEE International Conference on Big Data. Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018, IEEE, pp. 4883-4885, 2018 IEEE International Conference on Big Data , Seattle, Washington, United States, 10/12/18. https://doi.org/10.1109/BigData.2018.8622052

Towards edge-cloud computing. / Tianfield, Huaglory.
2018 IEEE International Conference on Big Data. ed. / Naoki Abe; Huan Liu; Calton Pu; Xiaohua Hu; Nesreen Ahmed; Mu Qiao; Yang Song; Donald Kossmann; Bing Liu; Kisung Lee; Jiliang Tang; Jingrui He; Jeffrey Saltz. IEEE, 2019. p. 4883-4885 (Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018).

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

TY - GEN

T1 - Towards edge-cloud computing

AU - Tianfield, Huaglory

N1 - Acceptance in SAN Author confirmed formal conf proc; yet to show on IEEE digital database. 10/01/19 DC. Paper not easy to find - paper title and proceedings title both not indexed via search engine, instead author confirmed need to go into IEEE Xplore > advanced search (see email 2/5/19). Caused delay in publication status change. ET 2/5/19

PY - 2019/1/24

Y1 - 2019/1/24

N2 - In this paper, we propose edge-cloud computing as a new framework for organizing the data pipeline functions, i.e., acquisition, processing and analytics, in the Internet of Things systems. Edge-cloud computing consists of three layers, namely smart edge devices, fog computing layer and cloud computing layer. Being an intrinsically hierarchical framework, edge-cloud computing is able to tackle the complexities of Internet of Things systems more fundamentally. In particular, we discuss the main roles of orchestration and intermediary that fog computing undertakes for microservices and cloud services, and the fundamental underpinning function – automated service provisioning in fog computing.

AB - In this paper, we propose edge-cloud computing as a new framework for organizing the data pipeline functions, i.e., acquisition, processing and analytics, in the Internet of Things systems. Edge-cloud computing consists of three layers, namely smart edge devices, fog computing layer and cloud computing layer. Being an intrinsically hierarchical framework, edge-cloud computing is able to tackle the complexities of Internet of Things systems more fundamentally. In particular, we discuss the main roles of orchestration and intermediary that fog computing undertakes for microservices and cloud services, and the fundamental underpinning function – automated service provisioning in fog computing.

KW - cyber-physical cloud computing

KW - fog computing

KW - Internet of Things

KW - service provisioning

KW - service orchestration

U2 - 10.1109/BigData.2018.8622052

DO - 10.1109/BigData.2018.8622052

M3 - Conference contribution

SN - 9781538650356

T3 - Proceedings - 2018 IEEE International Conference on Big Data, Big Data 2018

SP - 4883

EP - 4885

BT - 2018 IEEE International Conference on Big Data

A2 - Abe, Naoki

A2 - Liu, Huan

A2 - Pu, Calton

A2 - Hu, Xiaohua

A2 - Ahmed, Nesreen

A2 - Qiao, Mu

A2 - Song, Yang

A2 - Kossmann, Donald

A2 - Liu, Bing

A2 - Lee, Kisung

A2 - Tang, Jiliang

A2 - He, Jingrui

A2 - Saltz, Jeffrey

PB - IEEE

T2 - 2018 IEEE International Conference on Big Data

Y2 - 10 December 2018 through 13 December 2018

ER -

Towards edge-cloud computing

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Documents and Links

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