Towards digital twins cloud platform: Microservices and computational workflows to rule a smart factory

K. Borodulin; L. Sokolinsky; G. Radchenko; A. Tchernykh; A. Shestakov; R. Prodan

doi:10.1145/3147213.3149234

Towards digital twins cloud platform: Microservices and computational workflows to rule a smart factory

K. Borodulin, L. Sokolinsky, G. Radchenko, A. Tchernykh, A. Shestakov, R. Prodan

Publikation: Konferenzbeitrag › Papier › Begutachtung

Abstract

The concept of “Industry 4.0” considers smart factories as data-driven and knowledge enabled enterprise intelligence. In such kind of factory, manufacturing processes and final products are accompanied by virtual models – Digital Twins. To support Digital Twins concept, a simulation model for each process or system should be implemented as independent computational service. The only way to implement an orchestration of a set of independent services and provide scalability for simulation is to use a cloud computing platform as a provider of the computing infrastructure. In this paper, we describe a Digital Twin-as-a-Service (DTaaS) model for simulation and prediction of industrial processes using Digital Twins. © 2017 Copyright held by the owner/author(s).

Originalsprache	Englisch
Seiten	205-206
Seitenumfang	2
DOIs	https://doi.org/10.1145/3147213.3149234
Publikationsstatus	Veröffentlicht - 2017
Veranstaltung	10th IEEE/ACM International Conference on Utility and Cloud Computing - Austin, USA/Vereinigte Staaten Dauer: 5 Dez. 2017 → 8 Dez. 2017

Konferenz

Konferenz	10th IEEE/ACM International Conference on Utility and Cloud Computing
Kurztitel	UCC 2017
Land/Gebiet	USA/Vereinigte Staaten
Ort	Austin
Zeitraum	5/12/17 → 8/12/17

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10.1145/3147213.3149234

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Borodulin, K., Sokolinsky, L., Radchenko, G., Tchernykh, A., Shestakov, A., & Prodan, R. (2017). Towards digital twins cloud platform: Microservices and computational workflows to rule a smart factory. 205-206. Beitrag in 10th IEEE/ACM International Conference on Utility and Cloud Computing, Austin, Texas, USA/Vereinigte Staaten. https://doi.org/10.1145/3147213.3149234

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title = "Towards digital twins cloud platform: Microservices and computational workflows to rule a smart factory",

abstract = "The concept of “Industry 4.0” considers smart factories as data-driven and knowledge enabled enterprise intelligence. In such kind of factory, manufacturing processes and final products are accompanied by virtual models – Digital Twins. To support Digital Twins concept, a simulation model for each process or system should be implemented as independent computational service. The only way to implement an orchestration of a set of independent services and provide scalability for simulation is to use a cloud computing platform as a provider of the computing infrastructure. In this paper, we describe a Digital Twin-as-a-Service (DTaaS) model for simulation and prediction of industrial processes using Digital Twins. {\textcopyright} 2017 Copyright held by the owner/author(s).",

keywords = "Cloud computing, Container-as-a-service, Digital Twin, Digital twin-as-a-service, Industry 4.0, Microservice, Platform-as-a-service, Smart manufacturing, Software-as-a-service, Workflow, Platform as a Service (PaaS), Software as a service (SaaS)",

author = "K. Borodulin and L. Sokolinsky and G. Radchenko and A. Tchernykh and A. Shestakov and R. Prodan",

note = "Conference code: 132591 Cited By :13 Export Date: 27 August 2021 Funding details: Russian Foundation for Basic Research, РФФИ, 15-29-07959 Funding details: {\"O}sterreichische Forschungsf{\"o}rderungsgesellschaft, FFG, 5077019 Funding text 1: The reported paper is supported by the RFBR research project No.: 15-29-07959, by Act 211 Government of the Russian Federation contract 02.A03.21.0011 and research project No.: 5077019, by Austrian Research Promotion Agency; 10th IEEE/ACM International Conference on Utility and Cloud Computing, UCC 2017 ; Conference date: 05-12-2017 Through 08-12-2017",

year = "2017",

doi = "10.1145/3147213.3149234",

language = "English",

pages = "205--206",

}

Borodulin, K, Sokolinsky, L, Radchenko, G, Tchernykh, A, Shestakov, A & Prodan, R 2017, 'Towards digital twins cloud platform: Microservices and computational workflows to rule a smart factory', Beitrag in 10th IEEE/ACM International Conference on Utility and Cloud Computing, Austin, USA/Vereinigte Staaten, 5/12/17 - 8/12/17 S. 205-206. https://doi.org/10.1145/3147213.3149234

TY - CONF

T1 - Towards digital twins cloud platform: Microservices and computational workflows to rule a smart factory

AU - Borodulin, K.

AU - Sokolinsky, L.

AU - Radchenko, G.

AU - Tchernykh, A.

AU - Shestakov, A.

AU - Prodan, R.

N1 - Conference code: 132591 Cited By :13 Export Date: 27 August 2021 Funding details: Russian Foundation for Basic Research, РФФИ, 15-29-07959 Funding details: Österreichische Forschungsförderungsgesellschaft, FFG, 5077019 Funding text 1: The reported paper is supported by the RFBR research project No.: 15-29-07959, by Act 211 Government of the Russian Federation contract 02.A03.21.0011 and research project No.: 5077019, by Austrian Research Promotion Agency

PY - 2017

Y1 - 2017

N2 - The concept of “Industry 4.0” considers smart factories as data-driven and knowledge enabled enterprise intelligence. In such kind of factory, manufacturing processes and final products are accompanied by virtual models – Digital Twins. To support Digital Twins concept, a simulation model for each process or system should be implemented as independent computational service. The only way to implement an orchestration of a set of independent services and provide scalability for simulation is to use a cloud computing platform as a provider of the computing infrastructure. In this paper, we describe a Digital Twin-as-a-Service (DTaaS) model for simulation and prediction of industrial processes using Digital Twins. © 2017 Copyright held by the owner/author(s).

AB - The concept of “Industry 4.0” considers smart factories as data-driven and knowledge enabled enterprise intelligence. In such kind of factory, manufacturing processes and final products are accompanied by virtual models – Digital Twins. To support Digital Twins concept, a simulation model for each process or system should be implemented as independent computational service. The only way to implement an orchestration of a set of independent services and provide scalability for simulation is to use a cloud computing platform as a provider of the computing infrastructure. In this paper, we describe a Digital Twin-as-a-Service (DTaaS) model for simulation and prediction of industrial processes using Digital Twins. © 2017 Copyright held by the owner/author(s).

KW - Cloud computing

KW - Container-as-a-service

KW - Digital Twin

KW - Digital twin-as-a-service

KW - Industry 4.0

KW - Microservice

KW - Platform-as-a-service

KW - Smart manufacturing

KW - Software-as-a-service

KW - Workflow

KW - Platform as a Service (PaaS)

KW - Software as a service (SaaS)

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DO - 10.1145/3147213.3149234

M3 - Paper

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EP - 206

T2 - 10th IEEE/ACM International Conference on Utility and Cloud Computing

Y2 - 5 December 2017 through 8 December 2017

ER -

Towards digital twins cloud platform: Microservices and computational workflows to rule a smart factory

Abstract

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