Abstract
Advancements in Cyber-Physical Systems, IoT, Data-driven methods, and networking prepare the adequate infrastructure for constructing new organizations, where everything is connected and interact with each other. A Digital Twin of the Organization (DTO) exploits these infrastructures to provide an accurate digital representation of the organization. Beyond the usual representation of devices, machines and physical assets supplied by Digital Twins, a DTO also include processes, services, people, roles, and all other relevant elements for the operation of organizations. Therefore, DTO can play a key role in realizing and analyzing aspects of organizations, assisting managers on the knowledge of the organization status, and foreseeing possible effects of potential changes in the organization. However, due to the dynamic, open, and ever-changing environment of organizations, an established DTO will soon degrade or even lose all its utility. Therefore, a DTO needs to evolve to recover its utility when the organization changes. The development of flexible, resilient, and easy to evolve DTO has not been well-addressed yet. Most of the existing proposals are context-dependent, system-specific, or focus on providing solutions in high-level abstraction. This work leverages Enterprise Architecture to propose an architectural pattern to serve as a blueprint toward the development of resilient DTO.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Alam, K.M., El Saddik, A.: C2PS: a digital twin architecture reference model for the cloud-based cyber-physical systems. IEEE Access 5, 2050–2062 (2017)
Andersson, J., Caporuscio, M.: Aligning architectures for sustainability. In: Proceedings of the 10th European Conference on Software Architecture Workshops, ECSAW 2016 (2016)
Andersson, J., Grassi, V., Mirandola, R., Perez-Palacin, D.: A distilled characterization of resilience and its embraced properties based on state-spaces. In: Calinescu, R., Di Giandomenico, F. (eds.) SERENE 2019. LNCS, vol. 11732, pp. 11–25. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-30856-8_2
Andersson, J., Grassi, V., Mirandola, R., Perez-Palacin, D.: A conceptual framework for resilience: fundamental definitions, strategies and metrics. Computing 103(4), 559–588 (2020). https://doi.org/10.1007/s00607-020-00874-x
Caporuscio, M., Edrisi, F., Hallberg, M., Johannesson, A., Kopf, C., Perez-Palacin, D.: Architectural concerns for digital twin of the organization. In: Jansen, A., Malavolta, I., Muccini, H., Ozkaya, I., Zimmermann, O. (eds.) ECSA 2020. LNCS, vol. 12292, pp. 265–280. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-58923-3_18
Josifovska, K., Yigitbas, E., Engels, G.: Reference framework for digital twins within cyber-physical systems. In: 2019 IEEE/ACM 5th International Workshop on Software Engineering for Smart Cyber-Physical Systems, pp. 25–31 (2019)
Laprie, J.C.: From dependability to resilience. In: DSN 2008 (2008)
Lu, Y., Liu, C., Wang, K.I.K., Huang, H., Xu, X.: Digital twin-driven smart manufacturing: connotation, reference model, applications and research issues. Robot. Comput.-Integr. Manuf. 61, 101837 (2020)
Malakuti, S., Schmitt, J., Platenius-Mohr, M., Grüner, S., Gitzel, R., Bihani, P.: A four-layer architecture pattern for constructing and managing digital twins. In: Bures, T., Duchien, L., Inverardi, P. (eds.) ECSA 2019. LNCS, vol. 11681, pp. 231–246. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-29983-5_16
Martin, R.C.: Agile Software Development: Principles, Patterns, and Practices. Prentice Hall PTR, Hoboken (2003)
Modonia, G.E., Caldarolaa, E.G., Saccob, M., Terkajb, W.: Synchronizing physical and digital factory: benefits and technical challenges. Procedia CIRP 79, 472–477 (2019)
Redelinghuys, A.J.H., Basson, A.H., Kruger, K.: A six-layer architecture for the digital twin: a manufacturing case study implementation. J. Intell. Manuf. 31(6), 1383–1402 (2019). https://doi.org/10.1007/s10845-019-01516-6
Richards, M.: Software Architecture Patterns. O’Reilly Media Inc., Sebastopol (2015)
Rosen, R., von Wichert, G., Lo, G., Bettenhausen, K.D.: About the importance of autonomy and digital twins for the future of manufacturing. IFAC-PapersOnLine 48(3), 567–572 (2015). 15th IFAC Symposium on Information Control Problems in Manufacturing
Saad, A., Faddel, S., Youssef, T., Mohammed, O.A.: On the implementation of IoT-based digital twin for networked microgrids resiliency against cyber attacks. IEEE Trans. Smart Grid 11(6), 5138–5150 (2020)
Schmeck, H., Müller-Schloer, C., Çakar, E., Mnif, M., Richter, U.: Adaptivity and self-organization in organic computing systems. ACM Trans. Auton. Adapt. Syst. 5(3), 10:1–10:32 (2010)
Sousa, P., Caetano, A., Vasconcelos, A., Pereira, C., Tribolet, J.: Enterprise architecture modeling with the unified modeling language. In: Rittgen, P. (ed.) Enterprise Modeling and Computing with UML, pp. 67–94. IGI Global (2007)
Talkhestani, B.A., et al.: An architecture of an intelligent digital twin in a cyber-physical production system. at - Automatisierungstechnik 67(9), 762–782 (2019)
Tao, F., Zhang, M., Nee, A.: Five-dimension digital twin modeling and its key technologies. In: Digital Twin Driven Smart Manufacturing, pp. 63–81. Academic Press (2019)
Watts, S.: Digital twins and the digital twin of an organization (DTO). https://www.bmc.com/blogs/digital-twins
Woods, D.D.: Four concepts for resilience and the implications for the future of resilience engineering. Reliab. Eng. Syst. Saf. 141, 5–9 (2015)
Acknowledgements
This research is funded by the Swedish Knowledge Foundation, Grant No. 20200117: ALADINO – ALigning Architectures for DIgital twiN of the Organization.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this paper
Cite this paper
Edrisi, F. et al. (2021). EA Blueprint: An Architectural Pattern for Resilient Digital Twin of the Organization. In: Adler, R., et al. Dependable Computing - EDCC 2021 Workshops. EDCC 2021. Communications in Computer and Information Science, vol 1462. Springer, Cham. https://doi.org/10.1007/978-3-030-86507-8_12
Download citation
DOI: https://doi.org/10.1007/978-3-030-86507-8_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-86506-1
Online ISBN: 978-3-030-86507-8
eBook Packages: Computer ScienceComputer Science (R0)