Towards Digital Twins Cloud Platform: Microservices and Computational Workflows to Rule a Smart Factory

K. Borodulin, G. Radchenko, A. Shestakov, L. Sokolinsky, A. Tchernykh, R. Prodan
{"title":"Towards Digital Twins Cloud Platform: Microservices and Computational Workflows to Rule a Smart Factory","authors":"K. Borodulin, G. Radchenko, A. Shestakov, L. Sokolinsky, A. Tchernykh, R. Prodan","doi":"10.1145/3147213.3149234","DOIUrl":null,"url":null,"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.","PeriodicalId":341011,"journal":{"name":"Proceedings of the10th International Conference on Utility and Cloud Computing","volume":"59 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"38","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the10th International Conference on Utility and Cloud Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3147213.3149234","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 38

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.
迈向数字孪生云平台:微服务和计算工作流来管理智能工厂
“工业4.0”的概念将智能工厂视为数据驱动和知识驱动的企业智能。在这样的工厂中,制造过程和最终产品都伴随着虚拟模型——数字双胞胎。为了支持数字孪生概念,应该将每个进程或系统的仿真模型实现为独立的计算服务。实现一组独立服务的编排并为模拟提供可伸缩性的唯一方法是使用云计算平台作为计算基础设施的提供者。在本文中,我们描述了一个数字孪生即服务(DTaaS)模型,用于使用数字孪生模拟和预测工业过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信