Abstract
JARVIS is a Research & Development project, jointly developed by industrial SME partners and by the University of Florence, aimed at development of a hardware/software framework supporting integration among physical IoT devices, data analytic software agents, and human operators involved in operation and maintenance of resilient Industry 4.0 systems. At the heart of the JARVIS architecture, a suite of software digital twins deployed in a Java EE environment supports runtime monitoring and control of the hierarchy of hardware configuration items of the system, capturing their composition and representing their failure modes through a reflection architectural pattern enabling agile adaptation to the evolution of configurations. Besides, analytic modules can be deployed as micro-services leveraging both the knowledge base provided by digital twins and the data flowing from the ingestion layer. This enables agile development of advanced monitoring and control services supporting maintainability and resilience. We describe the JARVIS architecture, outlining responsibilities and collaborations among its modules, and we provide details on the structure of representation of digital twins, showing how this is exploited in a data analytic agent providing an executable representation of fault trees associated with failure modes of configuration items.
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References
Abreu, D.P., Velasquez, K., Curado, M., Monteiro, E.: A resilient internet of things architecture for smart cities. Ann. Telecommun. 72(1–2), 19–30 (2017)
Chappell, D.A.: Enterprise Service Bus. O’Reilly Media Inc., Sebastopol (2004)
Curry, E.: Message-oriented middleware. In: Middleware for Communications, pp. 1–28 (2004)
Department of Defense: MIL-STD-1629A - Procedures for performing a failure mode, effects and criticality analysis. Military Standard, Washington, DC (1980)
Di Prospero, A., Norouzi, N., Fokaefs, M., Litoiu, M.: Chatbots as assistants: an architectural framework. In: Proceedings of the 27th Annual International Conference on Computer Science and Software Engineering, pp. 76–86. IBM Corp. (2017)
Dragoni, N., et al.: Microservices: yesterday, today, and tomorrow. Present and Ulterior Software Engineering, pp. 195–216. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-67425-4_12
Ericson, C.A.: Fault tree analysis. Syst. Saf. Conf. Orlando, Florida 1, 1–9 (1999)
Evans, E.: Domain-Driven Design: Tackling Complexity in the Heart of Software. Addison-Wesley, Boston (2004)
Forsberg, K., Mooz, H.: The relationship of system engineering to the project cycle. In: INCOSE International Symposium, vol. 1, pp. 57–65. Wiley Online Library (1991)
Friedenthal, S., Moore, A., Steiner, R.: A Practical Guide to SysML: The Systems Modeling Language. Morgan Kaufmann, Burlington (2014)
Gamma, E.: Design Patterns: Elements of Reusable Object-Oriented Software. Pearson Education India, New Delhi (1995)
Han, J., Haihong, E., Le, G., Du, J.: Survey on NoSQL database. In: 2011 6th International Conference on Pervasive Computing and Applications, pp. 363–366. IEEE (2011)
Hohpe, G., Woolf, B.: Enterprise Integration Patterns: Designing, Building, and Deploying Messaging Solutions. Addison-Wesley Professional, Boston (2004)
Khan, R., Khan, S.U., Zaheer, R., Khan, S.: Future internet: the internet of things architecture, possible applications and key challenges. In: 2012 10th International Conference on Frontiers of Information Technology, pp. 257–260. IEEE (2012)
Linthicum, D.S.: Enterprise Application Integration. Addison-Wesley Professional, Boston (2000)
Montesi, F., Weber, J.: Circuit breakers, discovery, and API gateways in microservices. arXiv preprint arXiv:1609.05830 (2016)
Paolieri, M., Biagi, M., Carnevali, L., Vicario, E.: The ORIS tool: quantitative evaluation of non-markovian systems. In: IEEE Transactions on Software Engineering (2019)
Parri, J., Sampietro, S., Vicario, E.: Deploying digital twins in a lambda architecture for industry 4.0. ERCIM News 115, 30–31 (2018)
Pradhan, S., Dubey, A., Gokhale, A.: Designing a resilient deployment and reconfiguration infrastructure for remotely managed cyber-physical systems. In: Crnkovic, I., Troubitsyna, E. (eds.) SERENE 2016. LNCS, vol. 9823, pp. 88–104. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-45892-2_7
Radatz, J., Olson, M., Campbell, S.: Mil-std-498. Crosstalk J. Defense Softw. Eng. 8(2), 2–5 (1995)
Salfner, F., Lenk, M., Malek, M.: A survey of online failure prediction methods. ACM Comput. Surv. (CSUR) 42(3), 10 (2010)
Schmidt, D.C., Stal, M., Rohnert, H., Buschmann, F.: Pattern-Oriented Software Architecture, Patterns for Concurrent and Networked Objects, vol. 2. Wiley, Hoboken (2013)
Shrouf, F., Ordieres, J., Miragliotta, G.: Smart factories in industry 4.0: a review of the concept and of energy management approached in production based on the internet of things paradigm. In: 2014 IEEE International Conference on Industrial Engineering and Engineering Management, pp. 697–701. IEEE (2014)
Suciu, G., Vulpe, A., Halunga, S., Fratu, O., Todoran, G., Suciu, V.: Smart cities built on resilient cloud computing and secure internet of things. In: 2013 19th international conference on control systems and computer science. pp. 513–518. IEEE (2013)
Weippl, E.R., Sanderse, B.: Digital twins - introduction to the special theme. ERCIM News 2018(115), 6–7 (2018)
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Parri, J., Patara, F., Sampietro, S., Vicario, E. (2019). JARVIS, A Hardware/Software Framework for Resilient Industry 4.0 Systems. In: Calinescu, R., Di Giandomenico, F. (eds) Software Engineering for Resilient Systems. SERENE 2019. Lecture Notes in Computer Science(), vol 11732. Springer, Cham. https://doi.org/10.1007/978-3-030-30856-8_6
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DOI: https://doi.org/10.1007/978-3-030-30856-8_6
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