Analysis of possible SDN use in the rapid prototyping processas part of the Industry 4.0

• Autorzy: Mazur D. , Paszkiewicz A. , Bolanowski M. , Budzik G. , Oleksy M.

Identyfikatory

DOI

10.24425/bpas.2019.127334

• Języki publikacji: EN

Abstrakty

EN

The article refers to the idea of using the software defined network (SDN) as an effective hardware and software platform enabling the creation and dynamic management of distributed ICT infrastructure supporting the rapid prototyping process. The authors proposed a new layered reference model remote distributed rapid prototyping that allows the development of heterogeneous, open systems of rapid prototyping in a distributed environment. Next, the implementation of this model was presented in which the functioning of the bottom layers of the model is based on the SDN architecture. Laboratory tests were carried out for this implementation which allowed to verify the proposed model in the real environment, as well as determine its potential and possibilities for further development. Thus, the approach described in the paper may contribute to the development and improvement of the efficiency of rapid prototyping processes which individual components are located in remote industrial, research and development units. Thanks to this, it will be possible to better integrate production processes as well as optimize the costs associated with prototyping. The proposed solution is also a response in this regard to the needs of industry 4.0 in the area of creating scalable, controllable and reliable platforms.

Słowa kluczowe

EN

rapid prototyping; software defined networking; Industry 4.0; computer networks

PL

szybkie prototypowanie; Przemysł 4.0; sieć komputerowa; SDN

• Wydawca: Polska Akademia Nauk, Wydział IV Nauk Technicznych
• Czasopismo: Bulletin of the Polish Academy of Sciences. Technical Sciences
• Rocznik: 2019
• Tom: Vol. 67, nr 1
• Strony: 21--30
• Opis fizyczny: Bibliogr. 29 poz., rys., wykr.

Twórcy

autor

Mazur D.

• Department of Electrical and Computer Engineering Fundamentals, The Faculty of Electrical and Computer Engineering, Rzeszow University of Technology, al. Powstańców Warszawy 12, 35-959 Rzeszów, Poland

autor

Paszkiewicz A.

• Department of Complex Systems, The Faculty of Electrical and Computer Engineering, Rzeszow University of Technology, al. Powstańców Warszawy 12, 35-959 Rzeszów, Poland

autor

Bolanowski M.

• Department of Complex Systems, The Faculty of Electrical and Computer Engineering, Rzeszow University of Technology, al. Powstańców Warszawy 12, 35-959 Rzeszów, Poland

autor

Budzik G.

• Department of Machine Design, The Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, al. Powstańców Warszawy 12, 35-959 Rzeszów, Poland

autor

Oleksy M.

• Department of Polymer Composites, The Faculty of Chemistry, Rzeszow University of Technology, al. Powstańców Warszawy 12, 35-959 Rzeszów, Poland

Bibliografia

• [1] H. Lasi, P. Fettke, H.G. Kemper, T. Feld, and M. Hoffmann, “Industry 4.0”, Business & Information Systems Engineering, vol. 6, issue 4, 239–242 (2014).
• [2] R. Strange and A. Zucchella, “Industry 4.0, global value chains and international business”, Multinational Business Review, vol. 25, issue 3, 174‒184 (2017).
• [3] W. Bożejko, P. Rajba, and M. Wodecki, “Stable scheduling of single machine with probabilistic parameters”, Bull. Pol. Ac.: Tech., vol. 65, Issue 2, 219–231, DOI: https://doi.org/10.1515/bpasts-2017‒0026, (2017).
• [4] Z. Kuś, “Analysis of dynamical properties of object tracking system elements”, Bull. Pol. Ac.: Tech., vol. 64, Issue 3, 479–489, DOI: https://doi.org/10.1515/bpasts-2016‒0053, (2016).
• [5] J. Kroll, B.J. da Silva Estácio, J.L.N. Audy, and R. Prikladnicki, “An Initial Framework for Researching Follow-the-Sun Software Development”, Global Software Engineering (ICGSE), 2014 IEEE 9th International Conference on, 2014.
• [6] Y. Fu, Y. Liu, and D. Liu, “An environment-based RBAC model for internal network”, Computer Communication and the Internet (ICCCI), 2016 IEEE International Conference on, DOI: 10.1109/CCI.2016.7778884, (2016).
• [7] J. Klamka, “Controllability of dynamical systems. A survey”, Bull. Pol. Ac.: Tech., vol. 61, Issue 2, 335–342, DOI: https://doi.org/10.2478/bpasts-2013‒0031, (2013).
• [8] T. Kaczorek, “Stability of fractional positive continuous-time linear systems with state matrices in integer and rational powers”, Bull. Pol. Ac.: Tech., vol. 65, Issue 3, 305–311, DOI: https://doi.org/10.1515/bpasts-2017‒0034, (2017).
• [9] T. Kaczorek and K. Borawski, “Stability of positive nonlinear systems”, Methods and Models in Automation and Robotics (MMAR), 2017 22nd International Conference on, 564‒569, DOI:10.1109/MMAR.2017.8046890, (2017).
• [10] S.H. Choi and S. Samavedam, “Modeling and optimization of Rapid Prototyping”, Computers in industry, vol. 47, issue 1, 39‒53 (2002).
• [11] M. Sobolak and G. Budzik, “Experimental method of tooth contact analysis (TCA) with rapid prototyping (RP) use”, Rapid Prototyping Journal, vol. 14, issue 4, 197‒201 (2008).
• [12] P. Rokicki, G. Budzik, K. Kubiak, J. Bernaczek, T. Dziubek, M. Magniszewski, A. Nowotnik, J. Sieniawski, H. Matysiak, R. Cygan, and A. Trojan, “Rapid prototyping in manufacturing of coremodels of aircraft engine blades”, Aircraft Engineering and Aerospace Technology, 86(4), (2014).
• [13] D. Pham and S.S. Dimov, Rapid Manufacturing: The Technologies and Applications of Rapid Prototyping and Rapid Tooling, Springer-Verlag London, DOI: 10.1007/978‒1-4471‒0703‒3, 2001.
• [14] S. Singh and R.K. Jha, “A Survey on Software Defined Networking: Architecture for Next Generation Network”, Journal of Network and Systems Management, vol. 25, issue 2, 321‒374, DOI:10.1007/s10922‒016‒9393‒9, (2017).
• [15] D. Kreutz, F.M.V. Ramos, P.E. Veríssimo, Ch.E. Rothenberg, S. Azodolmolky, and S. Uhlig, “Software-Defined Networking: A Comprehensive Survey”, Proceedings of the IEEE, vol. 103, issue 1, DOI: 10.1109/JPROC.2014.2371999, (2015).
• [16] H. Kim and N. Feamster, “Improving network management with software defined networking”, IEEE Communications Magazine, vol. 51, issue 2, 114‒119, DOI: 10.1109/MCOM.2013.6461195, (2013).
• [17] N. McKeown, T. Anderson, H. Balakrishnan, G. Parulkar, L. Peterson, J. Rexford, S. Shenker, and J. Turner, “OpenFlow: enabling innovation in campus networks”, ACM SIGCOMM Computer Communication Review, vol. 38, issue 2, 69‒74 (2008).
• [18] G. Faraci, A. Lombardo, and G. Schembra, “A building block to model an SDN/NFV network”, Communications (ICC), 2017 IEEE International Conference on, 114‒119, DOI: 10.1109/ICC.2017.7997430, (2017).
• [19] ISO/IEC 7498‒4:1989, “Information technology – Open Systems Interconnection – Basic Reference Model: Naming and addressing”, International Organization for Standardization, (1989).
• [20] I.Z. Bholebawa and U.D. Dalal, “Performance Analysis of SDN/OpenFlow Controllers: POX Versus Floodlight”, Wireless Personal Communications, vol. 98, issue 2, 1679–1699 (2018).
• [21] M. Bolanowski and A. Paszkiewicz, “Methods and Means of Creation Application to Control a Complex Network Environment”, Software Engineering Research for the Practice, Polish Information Processing Society, 151‒160 (2017).
• [22] J.A.C. Ladyman, J. Lambert, and K. Wiesner, “What is a complex system?”, European Journal for Philosophy of Science, vol. 3, issue 1, 33–67 (2013).
• [23] F. Grabowski, “Nonextensive model of self-organizing systems”, Complexity, vol. 18, issue 5, 28‒36 (2013).
• [24] F. Grabowski, A. Paszkiewicz, and M. Bolanowski, “Computer Networks as Complex Systems in Nonextensive Approach”, Journal of Applied Computer Science, vol. 21, No. 2, 31‒44 (2013).
• [25] A. Paszkiewicz and M. Bolanowski, “Software Development for Modeling and Simulation of Computer Networks: Complex Systems Approach”, Towards a Synergistic Combination of Research and Practice in Software Engineering, Springer International Publishing, 193‒206 (2017).
• [26] Z. Michalewicz and C.Z. Janikow, “Genetic algorithms for numerical optimization”, Statistics and Computing, vol. 1, Issue 2, 75‒91, DOI: https://doi.org/10.1007/BF01889983, (1991).
• [27] M. Bolanowski and A. Paszkiewicz “The use of statistical signatures to detect anomalies in computer network”, Lecture Notes in Electrical Engineering,vol. 324, Springer International Publishing, 251‒260, DOI: 10.1007/978‒3-319‒11248‒0_19, (2017).
• [28] P.Y. Sevilla-Camacho, J.B. Robles-Ocampo, J. Muñiz-Soria, and F. Lee-Orantes, “Tool failure detection method for high-speed milling using vibration signal and reconfigurable bandpass digital filtering”, The International Journal of Advanced Manufacturing Technology, vol. 81, Issue 5‒8, 1187‒1194, DOI: 10.1007/978‒3-319‒11248‒0_19, (2015).
• [29] Z. Gomolka, B. Twarog, and J. Bartman, “Improvement of image processing by using homogeneous neural networks with fractional derivatives theorem”, Discrete and Continuous Dynamical Systems – Series A, vol. 31, 505‒514, (2011).

Uwagi

PL

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).