A Solution for the Security Barrier of the Intelligent Manufacturing with Cloud Computing

Subject Areas :

Ashidsha  Jaleel ¹ (Department of Production Engineering, University of Calicut, Thrissur, Kerala, India)
T.K.  Rajendran ² (Department of Production Engineering, University of Calicut, Thrissur, Kerala, India)
Lijohn P.  George ³ (Department of Production Engineering, University of Calicut, Thrissur, Kerala, India)

Received: 2021-09-18 Accepted : 2021-12-11 Published : 2021-11-01

Keywords: Cloud Manufacturing, Networked Manufacturing, Medium Enterprises, Security Barrier,

Abstract :

The cloud manufacturing method is one of the most innovative key enabling technologies for modern manufacturing industry and is claiming increasing attention in manufacturing research. The existing manufacturing models are improved using cloud computing, the Internet of things (IoT), virtualization, service-oriented technologies, and advanced high-speed computing. Cloud manufacturing (CM) aims at a flexible, self-adaptive manufacturing foundation that is capable of dynamically exploiting manufacturing resources and services distributed across the network. As cloud computing is the major enabler for the manufacturing industry, it can transform traditional manufacturing business models into product innovation business models with the help of intelligent factory networks. The service provided by cloud computing for cloud manufacturing, layers, the flow of production service, the layout of production service, and key features is discussed and investigated. Flow criteria in a production service for a typical small, medium enterprise (SME) is introduced. A solution for the security barrier of the CM network is introduced with the help of recent computing technology in this paper.

References:

[1] Foster, I., Zhao, Y., Raicu, I. and Lu, S. 2008. Cloud Computing and Grid Computing 360-Degree Compared. Grid Computing Environments Conference.

[2]  Djurdjanovic, D., Yan, J., Qiu, H. and Lee, J. 2003. Web-enabled remote spindle monitoring and prognostics. Proc. of 2nd International CIRP Conference on Reconfigurable Systems.

[3] Li, B., Zhang, L. and Cai, X. 2010. Introduction of Cloud Manufacturing. Zhongxing Communications Technology. 4(16):5-8.

[4] Meier, M. Seidelmann, J. and Mezgár, I. 2010. ManuCloud: The Next-Generation Manufacturing as a Service Environment, ERCIM. (83): 33-34.

[5] Jadeja, Y. and Modi, K. 2012. Cloud Computing - Concepts, architecture and Challenges. International Conference on Computing, Electronics and Electrical Technologies. INSPEC Accession Number: 12762123.

[6] Pallis, G. 2010. Cloud computing: the new frontier of internet computing. IEEE Internet Computing.14 (5): 70 - 73.

[7] Tao, F., Zhang, L., Venkatesh, V., Luo,Y. and  Cheng, Y. 2011. Cloud manufacturing: a computing and service-oriented manufacturing model. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture. 225(10):1969-1976.

[8] Ning, F., Zhou, W. Zhang, F., Yin, Q. and Ni, X. 2011.The architecture of cloud manufacturing and its key technologies research. IEEE International Conference on Cloud Computing and Intelligence Systems. INSPEC Accession Number: 12305891.

[9] Yunhao Liu, Y. Introduction of the Internet of Things. 2010. The Science Press, Beijing.

[10] Wu, D., Greer, M. J. Rosen, D. W. and Schaefer, D. 2013. Cloud Manufacturing: Drivers, Current Status, and Future Trends. ASME International Manufacturing Science and Engineering Conference.

[11] Subashini, S. and Kavitha, V. A survey on security issues in service delivery models of cloud computing. Journal of Network and Computer Applications. 34(1):1–11.

[12] Wan, C.  Zheng, H., Guo, L., Xu, X., Zhong, R.Y. and Yan, F. 2020. Cloud manufacturing in China: a review. International Journal of Computer Integrated Manufacturing. 33(3): 229-251.