IIC Journal of Innovation 12th Edition | Page 83

Digital Twin Architecture and Standards increase the timeliness of analytics. 8 One approach is to establish a compromise between data duplication and the performance cost of update and select queries. 9 D IGITAL T WIN S TANDARDS We encourage industry to support these formal activities and to develop inputs for standardization. Our work identifies six architectural interactions for digital twins to support the common operations proposed in the Introduction above, as conceptualized by the central diagram in Figure 2 below. The International Organization for Standardization (ISO) covers industrial data in TC 184 SC 4. 10 The standard for a Digital Twin Manufacturing Network is currently under development. 11 For the Joint Technical Committee (JTC 1) that includes ISO and the International Electrotechnical Commission (IEC), an established Joint Advisory Group (JAG) on Emerging Technology and Innovation (JETI) published their Technology Trend Report 12 and identified Digital Twin as one of four top emerging technologies out of fifteen. The report has led to formation of the Digital Twin Advisory Group (AG 11) who provide recommendations to JTC 1. For example, standards could define Application Programming Interfaces (APIs) for digital twin data access to securely and reliably store, manage and retrieve records. The digital twin architecture context delineates a security domain to control access and restrict operations to authorized clients. Clients must authenticate using security best practices, perhaps facilitated by federated identity. Authorized clients exchange key-value pairs with a digital twin using CRUD (Create, Read, Update and Delete). Values can be simple or structured (object) types. Some implementations may restrict updates and deletes to support data consistency goals. 8 Pu, Q., Ananthanarayanan, G., Bodik, P., Kandula, S., Akella, A., Bahl, P. and Stoica, 2015. Low Latency Geo-Distributed Data Analytics. In Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication (London, August 17 – 21, 2015). SIGCOMM ‘15. ACM, New York, NY, 421-434. DOI= http://dx.doi.org/10.1145/2785956.2787505. 9 Hassen, F. and Touzi, A.G. 2015. Towards a New Architecture for the Description and Manipulation of Large Distributed Data. Big Data in Complex Systems, DOI= http://dx.doi.org/10.1007/978-3-319-11056-1_17. 10 Industrial Data: https://www.iso.org/committee/54158.html 11 Digital Twin Manufacturing Framework: https://www.iso.org/standard/75066.html 12 JETI: https://jtc1info.org/technology/jeti/ - 78 - November 2019