Self-organizing Service Structures for Cyber-physical Control Models with Applications in Dynamic Factory Automation - A Fog/Edge-based Solution Pattern Towards Service-Oriented Process Automation

Maximilian Engelsberger, Thomas Greiner

2017

Abstract

The convergence of information technology and operational technology is a strong force in fabric automation. Service-oriented architectures and cloud computing technologies expand into next generation production systems. Those technologies enable a lot of new possibilities; such as high agility, global connectivity and high computing capacities. However, they also bring huge challenges regarding flexibility and reliability through increasing system dynamics, complexity and heterogenity. New solution patterns are needed to conquer those challenges. This paper proposes a new fog-oriented approach, which shows how future production systems, that are often called cyber-physical production systems, can deal with dynamically changing services and infrastructure elements. The goal is to provide an adequate degree of flexibility and reliability across the whole production lifecycle. Therefore, an event property model (“bubble model”), a multi-criterial evaluation metric and extensions to Kuhn-Munkres and Add algorithm are described. The overall concept is evaluated by an application example from the field of process engineering. With the help of practical case studies and dynamic system simulations, qualitative results are gained.

References

  1. Alur, R. (2015). Principles of Cyber-Physical Systems. MIT Press.
  2. Bosman, J., van den Berg, H., and van der Mei, R. (2015). Real-Time QoS Control for Service Orchestration. IEEE 27th International Teletraffic Congress.
  3. Broy, M. (2010). Cyber-Physical Systems (acatec DISKUTIERT). Springer.
  4. Buyya, R. (2010). Cloud Computing: Principles and Paradigms. John Wiley & Sons.
  5. De Meer, H., Sterbenz, J., and EuroNGI. (2006). SelfOrganizing Systems: First International Workshop, IWSOS 2006 and Third International Workshop on New Trends in Network Architectures and Services, EuroNGI 2006, Passau, Germany, September 18-20, 2006, Proceedings. Computer Communication Networks and Telecommunications. Springer.
  6. Domschke, W. and Drexl, A. (1996). Logistik: Standorte. Oldenbourgs Lehr- und Handbücher der Wirtschaftsu. Sozialwissenschaften. De Gruyter.
  7. Dubois, D. J., Valetto, G., Lucia, D., and Nitto, E. D. (2016). Mycocloud: Elasticity through Self-Organized Service Placement in Decentralized Clouds. IEEE 8th International Conference on Cloud Computing (CLOUD).
  8. Engelsberger, M. and Greiner, T. (2016). Applicationindependent Approach for the Dynamic Management of IT-Resources in Cyber-Physical Systems.
  9. Engelsberger, M. and Greiner, T. (2017). Handling Strategy of Dynamic Resource Events in Cyber-Physical Production Systems by a Multi-Criterial and MultiOperational Approach. Industrial Technology (ICIT), 2017 IEEE International Conference on.
  10. Jain, P., Datt, A., Goel, A., and Gupta, S. C. (2016). Cloud service orchestration based architecture of OpenStack Nova and Swift. Advances in Computing, Communications and Informatics (ICACCI), 2016 International Conference on.
  11. Kowalewski, S. (2015). Cyber-Physical Systems - A UMIC Perspective. Technical report, RWTH AACHEN UNIVERSITY.
  12. Krishna, P. (2014). Challenges, Opportunities, and Dimensions of Cyber-Physical Systems. Advances in Systems Analysis, Software Engineering, and High Performance Computing.
  13. Laporte, G., Nickel, S., and da Gama, F. (2015). Location Science. Springer International Publishing.
  14. Mor, N., Zhang, B., Kolb, J., Chan, D. S., Goyal, N., Sun, N., and Lutz, K. (2016). Toward a Global Data Infrastructure. IEEE Internet Computing, 20(3).
  15. Oueis, J., Strinati, E. C., and Barbarossa, S. (2015). The Fog Balancing - Load Distribution for Small cell Cloud Computing. Vehicular Technology Conference (VTC Spring), 81:1-6.
  16. Ruggerie, M., Malaguti, G., Dariz, L., and Selvatici, M. (2016). In-Tractor Cloud: A Vision of ServiceOriented System Design - Enabled by High-Speed InVehicle Networks for a Safer Task- and Machine Management. SAE Technical Papers scopus(scholar).
  17. Taherkordi, A. and Eliassen, F. (2014). Models@run.time for Creating in-Cloud Dynamic Cyber-Physical Ecosystems. volume 6. IEEE.
  18. Teschl, G. and Teschl, S. (2006). Mathematik für Informatiker. Springer.
  19. Thulasiraman, K., Arumugam, S., Brandstädt, A., and Nishizeki, T. (2016). Handbook of Graph Theory, Combinatorial Optimization, and Algorithms. CRC Press.
  20. Wang, S., Urgaonkar, R., Zafer, M., He, T., Chan, K., and Leung, K. K. (2015). Dynamic Service Migration in Mobile Edge-Clouds.
  21. Zhang, Y. and Cai, W.-d. (2010). Criticality-Driven QoS Adaptive Dynamic Resource Management for Distributed and Embedded Safety and Mission Critical Systems. International Conference on New Trends in Information Science and Service Science (NISS), 4.
Download


Paper Citation


in Harvard Style

Engelsberger M. and Greiner T. (2017). Self-organizing Service Structures for Cyber-physical Control Models with Applications in Dynamic Factory Automation - A Fog/Edge-based Solution Pattern Towards Service-Oriented Process Automation . In Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-243-1, pages 266-274. DOI: 10.5220/0006365502660274


in Bibtex Style

@conference{closer17,
author={Maximilian Engelsberger and Thomas Greiner},
title={Self-organizing Service Structures for Cyber-physical Control Models with Applications in Dynamic Factory Automation - A Fog/Edge-based Solution Pattern Towards Service-Oriented Process Automation},
booktitle={Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2017},
pages={266-274},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006365502660274},
isbn={978-989-758-243-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Self-organizing Service Structures for Cyber-physical Control Models with Applications in Dynamic Factory Automation - A Fog/Edge-based Solution Pattern Towards Service-Oriented Process Automation
SN - 978-989-758-243-1
AU - Engelsberger M.
AU - Greiner T.
PY - 2017
SP - 266
EP - 274
DO - 10.5220/0006365502660274