By the same authors

Scheduling of Smart Factories using Edge Computing and Clouds

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

Standard

Scheduling of Smart Factories using Edge Computing and Clouds. / Dziurzanski, Piotr; Swan, Jerry; Soares Indrusiak, Leandro.

1st International Workshop on Trustworthy and Real-time Edge Computing for Cyber-Physical Systems (TREC4CPS). 2018.

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

Harvard

Dziurzanski, P, Swan, J & Soares Indrusiak, L 2018, Scheduling of Smart Factories using Edge Computing and Clouds. in 1st International Workshop on Trustworthy and Real-time Edge Computing for Cyber-Physical Systems (TREC4CPS). International Workshop on Trustworthy and Real-time Edge Computing for Cyber-Physical Systems, Nashville, United States, 11/12/18.

APA

Dziurzanski, P., Swan, J., & Soares Indrusiak, L. (Accepted/In press). Scheduling of Smart Factories using Edge Computing and Clouds. In 1st International Workshop on Trustworthy and Real-time Edge Computing for Cyber-Physical Systems (TREC4CPS)

Vancouver

Dziurzanski P, Swan J, Soares Indrusiak L. Scheduling of Smart Factories using Edge Computing and Clouds. In 1st International Workshop on Trustworthy and Real-time Edge Computing for Cyber-Physical Systems (TREC4CPS). 2018

Author

Dziurzanski, Piotr ; Swan, Jerry ; Soares Indrusiak, Leandro. / Scheduling of Smart Factories using Edge Computing and Clouds. 1st International Workshop on Trustworthy and Real-time Edge Computing for Cyber-Physical Systems (TREC4CPS). 2018.

Bibtex - Download

@inproceedings{f8cdae8fba234743839c2a4bcf259bae,
title = "Scheduling of Smart Factories using Edge Computing and Clouds",
abstract = "Reconfiguration-as-a-Service is an emerging trend for dynamic smart factories. This approach exploits cloud-based services to continuously optimise the performance of manufacturing systems. The edge computing paradigm, on the contrary, aims at performing the whole computation at the edge of the network, close to the data sources. In this paper, a trade-off between these two possibilities is analysed. A value-based criterion is proposed for executing optimisation engine either in a cloud or at the edge. Experimental results determine the ranges for both the cloud computation cost and the edge computer's speed in which manufacturing scheduling leads to higher profits. ",
author = "Piotr Dziurzanski and Jerry Swan and {Soares Indrusiak}, Leandro",
year = "2018",
month = oct,
day = "20",
language = "English",
booktitle = "1st International Workshop on Trustworthy and Real-time Edge Computing for Cyber-Physical Systems (TREC4CPS)",
note = "International Workshop on Trustworthy and Real-time Edge Computing for Cyber-Physical Systems, TREC4CPS ; Conference date: 11-12-2018 Through 11-12-2018",
url = "https://cps-vo.org/group/TREC4CPS_conference/",

}

RIS (suitable for import to EndNote) - Download

TY - GEN

T1 - Scheduling of Smart Factories using Edge Computing and Clouds

AU - Dziurzanski, Piotr

AU - Swan, Jerry

AU - Soares Indrusiak, Leandro

N1 - Conference code: 1st

PY - 2018/10/20

Y1 - 2018/10/20

N2 - Reconfiguration-as-a-Service is an emerging trend for dynamic smart factories. This approach exploits cloud-based services to continuously optimise the performance of manufacturing systems. The edge computing paradigm, on the contrary, aims at performing the whole computation at the edge of the network, close to the data sources. In this paper, a trade-off between these two possibilities is analysed. A value-based criterion is proposed for executing optimisation engine either in a cloud or at the edge. Experimental results determine the ranges for both the cloud computation cost and the edge computer's speed in which manufacturing scheduling leads to higher profits.

AB - Reconfiguration-as-a-Service is an emerging trend for dynamic smart factories. This approach exploits cloud-based services to continuously optimise the performance of manufacturing systems. The edge computing paradigm, on the contrary, aims at performing the whole computation at the edge of the network, close to the data sources. In this paper, a trade-off between these two possibilities is analysed. A value-based criterion is proposed for executing optimisation engine either in a cloud or at the edge. Experimental results determine the ranges for both the cloud computation cost and the edge computer's speed in which manufacturing scheduling leads to higher profits.

M3 - Conference contribution

BT - 1st International Workshop on Trustworthy and Real-time Edge Computing for Cyber-Physical Systems (TREC4CPS)

T2 - International Workshop on Trustworthy and Real-time Edge Computing for Cyber-Physical Systems

Y2 - 11 December 2018 through 11 December 2018

ER -

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