A novel cloud-fog computing network architecture for big-data applications in smart factory environments

Dae Jun Ahn; Jongpil Jeong; Sunpyo Lee

doi:10.1007/978-3-319-95174-4_41

A novel cloud-fog computing network architecture for big-data applications in smart factory environments

Dae Jun Ahn
, Jongpil Jeong
, Sunpyo Lee

Research & Business Foundation

Sungkyunkwan University
Hoseo Graduate School of Management of Technology

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

4 Scopus citations

Abstract

Research on the cloud system is increasing among the various ways to deal with the data generated by the smart factory. In this paper, we propose cloud-based fog computing network architecture that can be efficiently used to store, analyze, and utilize the accumulated data in smart factories. We build and evaluate system modeling and testbed based on the proposed architecture. As a result, the cloud developed in the OpenStack can be used for smart factory operation, analyzing various types of data, and checking the status of real-time processing through a dashboard, making it the most suitable structure for a smart factory environment require processing.

Original language	English
Title of host publication	Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings
Editors	Sanjay Misra, Ana Maria Rocha, David Taniar, Osvaldo Gervasi, Beniamino Murgante, Elena Stankova, Carmelo M. Torre, Yeonseung Ryu, Bernady O. Apduhan, Eufemia Tarantino
Publisher	Springer Verlag
Pages	520-530
Number of pages	11
ISBN (Print)	9783319951737
DOIs	https://doi.org/10.1007/978-3-319-95174-4_41
State	Published - 2018
Event	18th International Conference on Computational Science and Its Applications, ICCSA 2018 - Melbourne, Australia Duration: 2 Jul 2018 → 5 Jul 2018

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	10964 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	18th International Conference on Computational Science and Its Applications, ICCSA 2018
Country/Territory	Australia
City	Melbourne
Period	2/07/18 → 5/07/18

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Big-data
Cloud computing
Cloud-fog computing
OpenStack
Smart factory

Access to Document

10.1007/978-3-319-95174-4_41

Cite this

Ahn, D. J., Jeong, J., & Lee, S. (2018). A novel cloud-fog computing network architecture for big-data applications in smart factory environments. In S. Misra, A. M. Rocha, D. Taniar, O. Gervasi, B. Murgante, E. Stankova, C. M. Torre, Y. Ryu, B. O. Apduhan, & E. Tarantino (Eds.), Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings (pp. 520-530). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10964 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-95174-4_41

Ahn, Dae Jun ; Jeong, Jongpil ; Lee, Sunpyo. / A novel cloud-fog computing network architecture for big-data applications in smart factory environments. Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings. editor / Sanjay Misra ; Ana Maria Rocha ; David Taniar ; Osvaldo Gervasi ; Beniamino Murgante ; Elena Stankova ; Carmelo M. Torre ; Yeonseung Ryu ; Bernady O. Apduhan ; Eufemia Tarantino. Springer Verlag, 2018. pp. 520-530 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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title = "A novel cloud-fog computing network architecture for big-data applications in smart factory environments",

abstract = "Research on the cloud system is increasing among the various ways to deal with the data generated by the smart factory. In this paper, we propose cloud-based fog computing network architecture that can be efficiently used to store, analyze, and utilize the accumulated data in smart factories. We build and evaluate system modeling and testbed based on the proposed architecture. As a result, the cloud developed in the OpenStack can be used for smart factory operation, analyzing various types of data, and checking the status of real-time processing through a dashboard, making it the most suitable structure for a smart factory environment require processing.",

keywords = "Big-data, Cloud computing, Cloud-fog computing, OpenStack, Smart factory",

author = "Ahn, \{Dae Jun\} and Jongpil Jeong and Sunpyo Lee",

note = "Publisher Copyright: {\textcopyright} Springer International Publishing AG, part of Springer Nature 2018.; 18th International Conference on Computational Science and Its Applications, ICCSA 2018 ; Conference date: 02-07-2018 Through 05-07-2018",

year = "2018",

doi = "10.1007/978-3-319-95174-4\_41",

language = "English",

isbn = "9783319951737",

series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

publisher = "Springer Verlag",

pages = "520--530",

editor = "Sanjay Misra and Rocha, \{Ana Maria\} and David Taniar and Osvaldo Gervasi and Beniamino Murgante and Elena Stankova and Torre, \{Carmelo M.\} and Yeonseung Ryu and Apduhan, \{Bernady O.\} and Eufemia Tarantino",

booktitle = "Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings",

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Ahn, DJ, Jeong, J & Lee, S 2018, A novel cloud-fog computing network architecture for big-data applications in smart factory environments. in S Misra, AM Rocha, D Taniar, O Gervasi, B Murgante, E Stankova, CM Torre, Y Ryu, BO Apduhan & E Tarantino (eds), Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 10964 LNCS, Springer Verlag, pp. 520-530, 18th International Conference on Computational Science and Its Applications, ICCSA 2018, Melbourne, Australia, 2/07/18. https://doi.org/10.1007/978-3-319-95174-4_41

A novel cloud-fog computing network architecture for big-data applications in smart factory environments. / Ahn, Dae Jun; Jeong, Jongpil; Lee, Sunpyo.
Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings. ed. / Sanjay Misra; Ana Maria Rocha; David Taniar; Osvaldo Gervasi; Beniamino Murgante; Elena Stankova; Carmelo M. Torre; Yeonseung Ryu; Bernady O. Apduhan; Eufemia Tarantino. Springer Verlag, 2018. p. 520-530 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10964 LNCS).

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

TY - GEN

T1 - A novel cloud-fog computing network architecture for big-data applications in smart factory environments

AU - Ahn, Dae Jun

AU - Jeong, Jongpil

AU - Lee, Sunpyo

N1 - Publisher Copyright: © Springer International Publishing AG, part of Springer Nature 2018.

PY - 2018

Y1 - 2018

N2 - Research on the cloud system is increasing among the various ways to deal with the data generated by the smart factory. In this paper, we propose cloud-based fog computing network architecture that can be efficiently used to store, analyze, and utilize the accumulated data in smart factories. We build and evaluate system modeling and testbed based on the proposed architecture. As a result, the cloud developed in the OpenStack can be used for smart factory operation, analyzing various types of data, and checking the status of real-time processing through a dashboard, making it the most suitable structure for a smart factory environment require processing.

AB - Research on the cloud system is increasing among the various ways to deal with the data generated by the smart factory. In this paper, we propose cloud-based fog computing network architecture that can be efficiently used to store, analyze, and utilize the accumulated data in smart factories. We build and evaluate system modeling and testbed based on the proposed architecture. As a result, the cloud developed in the OpenStack can be used for smart factory operation, analyzing various types of data, and checking the status of real-time processing through a dashboard, making it the most suitable structure for a smart factory environment require processing.

KW - Big-data

KW - Cloud computing

KW - Cloud-fog computing

KW - OpenStack

KW - Smart factory

UR - https://www.scopus.com/pages/publications/85049988389

U2 - 10.1007/978-3-319-95174-4_41

DO - 10.1007/978-3-319-95174-4_41

M3 - Conference contribution

AN - SCOPUS:85049988389

SN - 9783319951737

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 520

EP - 530

BT - Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings

A2 - Misra, Sanjay

A2 - Rocha, Ana Maria

A2 - Taniar, David

A2 - Gervasi, Osvaldo

A2 - Murgante, Beniamino

A2 - Stankova, Elena

A2 - Torre, Carmelo M.

A2 - Ryu, Yeonseung

A2 - Apduhan, Bernady O.

A2 - Tarantino, Eufemia

PB - Springer Verlag

T2 - 18th International Conference on Computational Science and Its Applications, ICCSA 2018

Y2 - 2 July 2018 through 5 July 2018

ER -

Ahn DJ, Jeong J, Lee S. A novel cloud-fog computing network architecture for big-data applications in smart factory environments. In Misra S, Rocha AM, Taniar D, Gervasi O, Murgante B, Stankova E, Torre CM, Ryu Y, Apduhan BO, Tarantino E, editors, Computational Science and Its Applications – ICCSA 2018 - 18th International Conference, 2018, Proceedings. Springer Verlag. 2018. p. 520-530. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-319-95174-4_41

A novel cloud-fog computing network architecture for big-data applications in smart factory environments

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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