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Cluster Computing

, Volume 22, Issue 3, pp 661–677 | Cite as

SD-CPS: software-defined cyber-physical systems. Taming the challenges of CPS with workflows at the edge

  • Pradeeban KathiraveluEmail author
  • Peter Van Roy
  • Luís Veiga
Article

Abstract

A cyber-physical system (CPS) is a smart mechanical environment, developed by an amalgamation of computation, networking, and physical dimensions. Each CPS consists of a network of devices, often limited in computing, storage, or bandwidth resources. Moreover, the frequent small-scale communications between the various counterparts of CPS require data and computation of CPS to be deployed close to each other, with the ability to support micro-executions. Due to these operational requirements, CPS faces several inherent challenges, uncommon to a traditional computational environment. In this paper, we describe software-defined cyber-physical systems (SD-CPS), a CPS framework built by extending and adapting the design principles of software-defined networking (SDN) into CPS. We realize the support for CPS operation as a workflow of microservices, possibly in continuous or cyclic execution. SD-CPS coordinates each CPS execution step, performed by a microservice, through an extended SDN controller architecture. By creating, placing, deploying, migrating, and managing the computation processes of CPS as service workflows at the edge, SD-CPS orchestrates the entire lifecycle of the CPS effectively and efficiently. SD-CPS thus addresses the general challenges of CPS, concerning modeling, development, performance, management, communication and coordination, scalability, and fault-tolerance, through its software-defined approach. Our evaluations highlight the efficiency of the SD-CPS framework and the scalability of its SDN controller to manage the complex CPS environments.

Keywords

Cyber-physical system (CPS) Software-defined networking (SDN) Message-oriented middleware (MOM) Software-defined systems (SDS) 

Notes

Acknowledgements

This work was supported by national funds through Fundação para a Ciência e a Tecnologia with reference UID/CEC/50021/2013 and a Ph.D. grant offered by the Erasmus Mundus Joint Doctorate in Distributed Computing (EMJD-DC) under grant agreement 2012-0030.

References

  1. 1.
    Akyildiz, I.F., Lee, A., Wang, P., Luo, M., Chou, W.: A roadmap for traffic engineering in sdn-openflow networks. Comput. Netw. 71, 1–30 (2014)CrossRefGoogle Scholar
  2. 2.
    Al-Ayyoub, M., Jararweh, Y., Benkhelifa, E., Vouk, M., Rindos, A., et al.: Sdsecurity: a software defined security experimental framework. In: 2015 IEEE International Conference on Communication Workshop (ICCW), pp. 1871–1876. IEEE (2015)Google Scholar
  3. 3.
    Alheeti, K.M.A., Gruebler, A., McDonald-Maier, K.D., Fernando, A.: Prediction of dos attacks in external communication for self-driving vehicles using a fuzzy petri net model. In: 2016 IEEE International Conference on Consumer Electronics (ICCE), pp. 502–503. IEEE (2016)Google Scholar
  4. 4.
    Antonioli, D., Tippenhauer, N.O.: MiniCPS: a toolkit for security research on CPS networks. In: Proceedings of the First ACM Workshop on Cyber-Physical Systems-Security and/or PrivaCy, pp. 91–100. ACM (2015)Google Scholar
  5. 5.
    Batalle, J., Riera, J.F., Escalona, E., Garcia-Espin, J.A.: On the implementation of NFV over an OpenFlow infrastructure: routing function virtualization. In: 2013 IEEE SDN for Future Networks and Services (SDN4FNS), pp. 1–6. IEEE (2013)Google Scholar
  6. 6.
    Bonafiglia, R., Castellano, G., Cerrato, I., Risso, F.: End-to-end service orchestration across SDN and cloud computing domains. In: 2017 IEEE Conference on Network Softwarization (NetSoft), pp. 1–6. IEEE (2017)Google Scholar
  7. 7.
    Boyd, R.: Network Service Orchestration enabled by Tail-f. https://blogs.cisco.com/cin/tail-f (2015)
  8. 8.
    Calvaresi, D., Marinoni, M., Sturm, A., Schumacher, M., Buttazzo, G.: The challenge of real-time multi-agent systems for enabling IOT and CPS. In: Proceedings of the International Conference on Web Intelligence, pp. 356–364. ACM (2017)Google Scholar
  9. 9.
    Cardenas, A., Amin, S., Sinopoli, B., Giani, A., Perrig, A., Sastry, S.: Challenges for securing cyber physical systems. In: Workshop on Future Directions in Cyber-physical Systems Security, p. 5 (2009)Google Scholar
  10. 10.
    Collina, M., Corazza, G.E., Vanelli-Coralli, A.: Introducing the QEST broker: scaling the IoT by bridging MQTT and REST. In: 2012 IEEE 23rd International Symposium on Personal, Indoor and Mobile Radio Communications-(PIMRC), pp. 36–41. IEEE (2012)Google Scholar
  11. 11.
    Curry, E.: Message-oriented middleware. In: Middleware for Communications, pp. 1–28 (2004)Google Scholar
  12. 12.
    Darabseh, A., Al-Ayyoub, M., Jararweh, Y., Benkhelifa, E., Vouk, M., Rindos, A.: SDStorage: a software defined storage experimental framework. In: 2015 IEEE International Conference on Cloud Engineering (IC2E), pp. 341–346. IEEE (2015)Google Scholar
  13. 13.
    Dawson-Haggerty, S., Ortiz, J., Trager, J., Culler, D., Katz, R.H.: Energy savings and the “software-defined” building. IEEE Des. Test Comput. 29(4), 56–57 (2012)CrossRefGoogle Scholar
  14. 14.
    Derler, P., Lee, E.A., Vincentelli, A.S.: Modeling cyber-physical systems. Proc. IEEE 100(1), 13–28 (2012)CrossRefGoogle Scholar
  15. 15.
    Dey, K.C., Rayamajhi, A., Chowdhury, M., Bhavsar, P., Martin, J.: Vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication in a heterogeneous wireless network-performance evaluation. Transp. Res. C 68, 168–184 (2016)CrossRefGoogle Scholar
  16. 16.
    Dixon, C., Olshefski, D., Jain, V., DeCusatis, C., Felter, W., Carter, J., Banikazemi, M., Mann, V., Tracey, J.M., Recio, R.: Software defined networking to support the software defined environment. IBM J. Res. Dev. 58(2/3), 3:1–3:14 (2014)CrossRefGoogle Scholar
  17. 17.
    Dong, X., Lin, H., Tan, R., Iyer, R.K., Kalbarczyk, Z.: Software-defined networking for smart grid resilience: opportunities and challenges. In: Proceedings of the 1st ACM Workshop on Cyber-Physical System Security, pp. 61–68. ACM (2015)Google Scholar
  18. 18.
    Freris, N.M., et al.: A software defined architecture for cyberphysical systems. In: 2017 Fourth International Conference on Software Defined Systems (SDS), pp. 54–60. IEEE (2017)Google Scholar
  19. 19.
    Glancy, D.J.: Autonomous and automated and connected cars-oh my: first generation autonomous cars in the legal ecosystem. Minn. J. Law Sci. Technol. 16, 619 (2015)Google Scholar
  20. 20.
    Gurgen, L., Gunalp, O., Benazzouz, Y., Gallissot, M.: Self-aware cyber-physical systems and applications in smart buildings and cities. In: Proceedings of the Conference on Design, Automation and Test in Europe, pp. 1149–1154. EDA Consortium (2013)Google Scholar
  21. 21.
    Hunkeler, U., Truong, H.L., Stanford-Clark, A.: MQTT-S—a publish/subscribe protocol for wireless sensor networks. In: 3rd International Conference on Communication Systems Software and Middleware and Workshops, 2008 (COMSWARE 2008), pp. 791–798. IEEE (2008)Google Scholar
  22. 22.
    Jararweh, Y., Al-Ayyoub, M., Benkhelifa, E., Vouk, M., Rindos, A.: SDIoT: a software defined based internet of things framework. J. Ambient Intell. Humanized Comput. 6(4), 453–461 (2015)CrossRefGoogle Scholar
  23. 23.
    Jarschel, M., Zinner, T., Hoßfeld, T., Tran-Gia, P., Kellerer, W.: Interfaces, attributes, and use cases: a compass for SDN. IEEE Commun. Mag. 52(6), 210–217 (2014)CrossRefGoogle Scholar
  24. 24.
    Karnouskos, S.: Cyber-physical systems in the smartgrid. In: 2011 9th IEEE International Conference on Industrial Informatics (INDIN), pp. 20–23. IEEE (2011)Google Scholar
  25. 25.
    Kathiravelu, P., Veiga, L.: CHIEF: controller farm for clouds of software-defined community networks. In: 2016 IEEE International Conference on Cloud Engineering Workshop (IC2EW), pp. 1–6. IEEE (2016)Google Scholar
  26. 26.
    Kathiravelu, P., Veiga, L.: SD-CPS: taming the challenges of cyber-physical systems with a software-defined approach. In: 2017 Fourth International Conference on Software Defined Systems (SDS), pp. 6–13. IEEE (2017)Google Scholar
  27. 27.
    Lee, E.A.: Computing Foundations and Practice for Cyber-physical Systems: A Preliminary Report. Technical Report UCB/EECS-2007-72. University of California, Berkeley (2007)Google Scholar
  28. 28.
    Lee, E.A.: Cyber physical systems: design challenges. In: 2008 11th IEEE International Symposium on Object and Component-Oriented Real-Time Distributed Computing (ISORC), pp. 363–369. IEEE (2008)Google Scholar
  29. 29.
    Lee, E.A.: The past, present and future of cyber-physical systems: a focus on models. Sensors 15(3), 4837–4869 (2015)CrossRefGoogle Scholar
  30. 30.
    Lee, J., Bagheri, B., Kao, H.A.: A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manuf. Lett. 3, 18–23 (2015)CrossRefGoogle Scholar
  31. 31.
    Leners, J.B., Gupta, T., Aguilera, M.K., Walfish, M.: Taming uncertainty in distributed systems with help from the network. In: Proceedings of the Tenth European Conference on Computer Systems, p. 9. ACM (2015)Google Scholar
  32. 32.
    Li, C.S., Brech, B., Crowder, S., Dias, D., Franke, H., Hogstrom, M., Lindquist, D., Pacifici, G., Pappe, S., Rajaraman, B.: Software defined environments: an introduction. IBM J. Res. Dev. 58(2/3), 1:1–1:11 (2014)CrossRefGoogle Scholar
  33. 33.
    Liu, J., Li, Y., Chen, M., Dong, W., Jin, D.: Software-defined internet of things for smart urban sensing. IEEE Commun. Mag. 53(9), 55–63 (2015)CrossRefGoogle Scholar
  34. 34.
    Liu, K., Ng, J.K., Lee, V.C., Son, S.H., Stojmenovic, I.: Cooperative data scheduling in hybrid vehicular ad hoc networks: VANET as a software defined network. IEEE/ACM Trans. Netw. 24(3), 1759–1773 (2016)CrossRefGoogle Scholar
  35. 35.
    Liu, Y., Shou, G., Hu, Y., Guo, Z., Li, H., Seah, H.S.: Towards a smart campus: innovative applications with wicloud platform based on mobile edge computing. In: 2017 12th International Conference on Computer Science and Education (ICCSE), pp. 133–138. IEEE (2017)Google Scholar
  36. 36.
    Locke, D.: MQ Telemetry Transport (MQTT) v3.1 Protocol Specification. IBM developerWorks Technical Library. http://www.ibm.com/developerworks/webservices/library/ws-mqtt/index.html (2010)
  37. 37.
    Macker, J.: Mobile ad hoc networking (manet): routing protocol performance issues and evaluation considerations (1999)Google Scholar
  38. 38.
    Mahmood, A., Casetti, C., Chiasserini, C.F., Giaccone, P., Harri, J.: Mobility-aware edge caching for connected cars. In: 2016 12th Annual Conference on Wireless On-Demand Network Systems and Services (WONS), pp. 1–8. IEEE (2016)Google Scholar
  39. 39.
    McKeown, N., Anderson, T., Balakrishnan, H., Parulkar, G., Peterson, L., Rexford, J., Shenker, S., Turner, J.: OpenFlow: enabling innovation in campus networks. ACM SIGCOMM Comput. Commun. Rev. 38(2), 69–74 (2008)CrossRefGoogle Scholar
  40. 40.
    Medved, J., Varga, R., Tkacik, A., Gray, K.: Opendaylight: towards a model-driven SDN controller architecture. In: Proceeding of IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks 2014 (2014)Google Scholar
  41. 41.
    MEF: Lifecycle Service Orchestration|Third Network. https://www.mef.net/third-network/lifecycle-service-orchestration (2017)
  42. 42.
    Munir, S., Stankovic, J.A.: Depsys: dependency aware integration of cyber-physical systems for smart homes. In: 2014 ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS), pp. 127–138. IEEE (2014)Google Scholar
  43. 43.
    Nierbeck, A., Goodyear, J., Edstrom, J., Kesler, H.: Apache Karaf Cookbook. Packt Publishing Ltd., Birmingham (2014)Google Scholar
  44. 44.
    Pacheco, J., Tunc, C., Hariri, S.: Design and evaluation of resilient infrastructures systems for smart cities. In: 2016 IEEE International Smart Cities Conference (ISC2), pp. 1–6. IEEE (2016)Google Scholar
  45. 45.
    Pasha, M., Khan, K.U.R.: Architecture and channel aware task offloading in opportunistic vehicular edge networks. IJSSST 18(4), 15.1–15.7 (2015)Google Scholar
  46. 46.
    Patel, P., Ali, M.I., Sheth, A.: On using the intelligent edge for IoT analytics. IEEE Intell. Syst. 32(5), 64–69 (2017)CrossRefGoogle Scholar
  47. 47.
    Persson, M., Håkansson, A.: A communication protocol for different communication technologies in cyber-physical systems. Procedia Comput. Sci. 60, 1697–1706 (2015)CrossRefGoogle Scholar
  48. 48.
    Qin, Z., Denker, G., Giannelli, C., Bellavista, P., Venkatasubramanian, N.: A software defined networking architecture for the internet-of-things. In: 2014 IEEE Network Operations and Management Symposium (NOMS), pp. 1–9. IEEE (2014)Google Scholar
  49. 49.
    Qin, Z., Do, N., Denker, G., Venkatasubramanian, N.: Software-defined cyber-physical multinetworks. In: 2014 International Conference on Computing, Networking and Communications (ICNC), pp. 322–326. IEEE (2014)Google Scholar
  50. 50.
    Qin, Z., Iannario, L., Giannelli, C., Bellavista, P., Denker, G., Venkatasubramanian, N.: Mina: a reflective middleware for managing dynamic multinetwork environments. In: 2014 IEEE Network Operations and Management Symposium (NOMS), pp. 1–4. IEEE (2014)Google Scholar
  51. 51.
    Sampigethaya, K., Poovendran, R.: Cyber-physical system framework for future aircraft and air traffic control. In: 2012 IEEE Aerospace Conference, pp. 1–9. IEEE (2012)Google Scholar
  52. 52.
    Sgambelluri, A., Tusa, F., Gharbaoui, M., Maini, E., Toka, L., Perez, J., Paolucci, F., Martini, B., Poe, W., Hernandes, J.M., et al.: Orchestration of network services across multiple operators: the 5G exchange prototype. In: 2017 European Conference on Networks and Communications (EuCNC), pp. 1–5. IEEE (2017)Google Scholar
  53. 53.
    Siozios, K., Soudris, D., Kosmatopoulos, E.: Cyber-Physical Systems: Decision Making Mechanisms and Applications. River Publishers, Delft (2017)Google Scholar
  54. 54.
    Snyder, B., Bosnanac, D., Davies, R.: ActiveMQ in Action, vol. 47. Manning, Shelter Island (2011)Google Scholar
  55. 55.
    Srinivasan, R.: RPC: Remote procedure call protocol specification version 2 (1995)Google Scholar
  56. 56.
    Stantchev, V., Schröpfer, C.: Negotiating and enforcing QoS and SLAs in grid and cloud computing. In: International Conference on Grid and Pervasive Computing, pp. 25–35. Springer (2009)Google Scholar
  57. 57.
    Vegni, A.M., Biagi, M., Cusani, R.: Smart vehicles, technologies and main applications in vehicular ad hoc networks. In: Vehicular Technologies-Deployment and Applications. InTech (2013)Google Scholar
  58. 58.
    Vilalta, R., Mayoral, A., Pubill, D., Casellas, R., Martínez, R., Serra, J., Verikoukis, C., Muñoz, R.: End-to-end SDN orchestration of IoT services using an SDN/NFV-enabled edge node. In: Optical Fiber Communication Conference, W2A-42. Optical Society of America (2016)Google Scholar
  59. 59.
    Villari, M., Fazio, M., Dustdar, S., Rana, O., Chen, L., Ranjan, R.: Software defined membrane: policy-driven edge and internet of things security. IEEE Cloud Comput. 4(4), 92–99 (2017)CrossRefGoogle Scholar
  60. 60.
    Vinoski, S.: Advanced message queuing protocol. IEEE Internet Comput. 10(6), 87 (2006)CrossRefGoogle Scholar
  61. 61.
    Wan, J., Tang, S., Shu, Z., Li, D., Wang, S., Imran, M., Vasilakos, A.V.: Software-defined industrial internet of things in the context of industry 4.0. IEEE Sens. J. 16(20), 7373–7380 (2016)CrossRefGoogle Scholar
  62. 62.
    Wan, J., Zhang, D., Zhao, S., Yang, L., Lloret, J.: Context-aware vehicular cyber-physical systems with cloud support: architecture, challenges, and solutions. IEEE Commun. Mag. 52(8), 106–113 (2014)CrossRefGoogle Scholar
  63. 63.
    Wichtlhuber, M., Reinecke, R., Hausheer, D.: An sdn-based cdn/isp collaboration architecture for managing high-volume flows. IEEE Trans. Netw. Serv. Manag. 12(1), 48–60 (2015)CrossRefGoogle Scholar
  64. 64.
    Yousefi, S., Mousavi, M.S., Fathy, M.: Vehicular ad hoc networks (vanets): challenges and perspectives. In: 2006 6th International Conference on ITS Telecommunications Proceedings, pp. 761–766. IEEE (2006)Google Scholar

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Authors and Affiliations

  1. 1.Emory University School of MedicineAtlantaUSA
  2. 2.INESC-ID Lisboa/Instituto Superior TécnicoUniversidade de LisboaLisbonPortugal
  3. 3.Université catholique de LouvainLouvain-la-NeuveBelgium

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