Architecture for Cloud-Based Industrial Automation
Cloud computing has recently emerged as a new computing paradigm in many application areas comprising office and enterprise systems. It offers various solutions to provide a dynamic and flexible infrastructure to host computing resources and deliver them as a service on demand. Since industrial automation systems of the future have to be active and adaptable, cloud computing can be considered as a promising solution for this area. In this paper, the aim is to introduce an initial framework for applying cloud computing solutions to industrial automation systems. Our work is based on translating our experience in networked control systems (NCS), industrial control theory and computing theory to propose an architecture for cloud-based industrial automation systems. Albeit this architecture proposal is initial and limited to abstract models for wide class of practical systems, this work aims to analyze related issues and assess possible avenues towards continuing cloud-based control system design.
KeywordsNetworked control systems Industrial control theory Computing theory Cloud-based control system
This work is supported by the deanship of scientific research (DSR) at KFUPM through research project No. IN-141048.
- 1.Danielson K (2010) Distinguishing cloud computing from utility computing. http://www.ebizq.net/blogs/saasweek/2008/03/distinguishing_cloud_computing/, Ebizq.net
- 2.Vuyyuru M, Annapurna P, Babu KG, Ratnam ASK (2012) An overview of cloud computing technology. Int J Soft Comput Eng 2Google Scholar
- 3.Badger L, Grance T, Patt-Corner R, Voas J (2012) Cloud computing synopsis and recommendations. National Institute of Standards and Technology (NIST), U.S. Dept. of Commerce, Gaithersburg, MD, USA, NIST Special Publication, pp 800–146, May 2012. [Online]. Available: http://csrc.nist.gov/publications/nistpubs/800-146/sp800-146.pdf
- 4.Mithani MF, Salsburg M, Rao S (2010) A decision support system for moving workloads to public clouds. In: Proceedings of the annual international conference. CCV, Singapore, pp 3–9Google Scholar
- 7.Ren L, Zhang Y, Luo Y, Zhang L (2010) A virtualization approach for distributed resources security in network manufacturing. In: Proceedings of IEEE international conference on industrial engineering and engineering management (IEEM), pp 1524–1528Google Scholar
- 12.Xia Y (2002) From networked control systems to cloud control systems. In: Proceedings of the 31st Chinese control conference, July 25–27, 2002, Hefei, China, pp. 5878–5883Google Scholar
- 13.Mahmoud MS (2016) Approaches to remote control systems. In: Proceedings of the (2016) IEEE industrial electronics conference, 23–27 Oct 2016, Florence, Italy, pp 1–5Google Scholar
- 15.Padala P, Shin KG, Zhu X, Uysal M, Wang Z, Singhal S, Merchant A, Salem K (2007) Adaptive control of virtualized resources in utility computing environments. In: Proceedings of EuroSysGoogle Scholar
- 16.Parekh S, Gandhi N, Hellerstein J, Tilbury D, Jayram T, Bigus J (2002) Using control theory to achieve service level objectives in performance management. In: Proceedings of IMGoogle Scholar