Scheduling of Smart Factories using Edge Computing and Clouds

Piotr Dziurzanski; Jerry Swan; Leandro Soares Indrusiak

Scheduling of Smart Factories using Edge Computing and Clouds

Piotr Dziurzanski, Jerry Swan, Leandro Soares Indrusiak

Computer Science

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

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.

Original language	English
Title of host publication	1st International Workshop on Trustworthy and Real-time Edge Computing for Cyber-Physical Systems (TREC4CPS)
Number of pages	4
Publication status	Accepted/In press - 20 Oct 2018
Event	International Workshop on Trustworthy and Real-time Edge Computing for Cyber-Physical Systems - Nashville, United States Duration: 11 Dec 2018 → 11 Dec 2018 Conference number: 1st https://cps-vo.org/group/TREC4CPS_conference/

Workshop

Workshop	International Workshop on Trustworthy and Real-time Edge Computing for Cyber-Physical Systems
Abbreviated title	TREC4CPS
Country/Territory	United States
City	Nashville
Period	11/12/18 → 11/12/18
Internet address	https://cps-vo.org/group/TREC4CPS_conference/

Access to Document

smart-factories-scheduling_CRAccepted author manuscript, 1.08 MB

Cite this

@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/",

}

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 -