¹Assist Professor. Roheed Khaliqyar,²Associate Prof. Amir Kror Shahidzay,³Assistant. Prof Sebghatullah Aslamza

¹Faculty of computer science, Department of software engineering, Kabul University

²Lecturer & Dean of Computer Science Faculty, Kabul University

³Lecturer & Deputy Dean of Computer Science Faculty, Kabul University

With the proliferation of Internet of Things (IoT) devices, there is an increasing demand for real-time data processing and analysis. However, the traditional cloud computing architecture is not well-suited for IoT applications due to its inherent limitations such as high latency, limited bandwidth, and high-power consumption. Fog computing has emerged as a promising solution that brings computation and storage capabilities closer to the edge of the network. This paper explores the transition from IoT to Cloud of Things (CoT) using Fog computing. We discuss the benefits and challenges of Fog computing and analyse its architecture and components. Additionally, we examine various use cases of Fog computing and discuss their advantages and limitations. We conclude by highlighting the potential of Fog computing to enable the transition from IoT to CoT

Internet of thing, cloud of thing, fog computing, connected cars, smart grids, fog application

1) Bonomi, F., Milito, R., Zhu, J., Addepalli, S.: Fog computing and its role in the internet of things. In: Proceedings of the 1st edn. of the MCC workshop on Mobile cloud computing (2012)

2) Pao, L., Johnson, K.: A tutorial on the dynamics and control of wind turbines and wind farms. In: American Control Conference (2009)

3) Botterud, A., Wang, J.: Wind power forecasting and electricity market operations. In: International Conference of 32nd International Association for Energy Economics (IAEE), San Francisco, CA (2009)

4) Cristea, V., Dobre, C., Pop, F.: Context-aware environ internet of things. Internet of Things and Inter-cooperative Computational Technologies for Collective Intelligence Studies in Computational Intelligence, vol. 460, pp. 25–49 (2013)

5) Haak, D.: Achieving high performance in smart grid data management. White paper from Accenture (2010).

6) S. Agarwal, J. Dunagan, N. Jain, S. Saroiu, A. Wolman, and H. Bhogan. Volley: Automated data placement for geodistributed cloud services. In NSDI, 2010.

7) A. Basta, W. Kellerer, M. Hoffmann, H. J. Morper, and K. Hoffmann. Applying nfv and sdn to lte mobile core gateways, the functions placement problem. In workshop on All things cellular. ACM, 2014.

8) F. Bonomi, R. Milito, J. Zhu, and S. Addepalli. Fog computing and its role in the internet of things. In workshop on Mobile cloud computing. ACM, 2012.

9) N. Cao, C. Wang, M. Li, K. Ren, and W. Lou. Privacy-preserving multi-keyword ranked search over encrypted cloud data. TPDS, 2014.

10) C. Chen, H. Raj, S. Saroiu, and A. Wolman. ctpm: a cloud tpm for cross-device trusted applications. In NSDI, 2014.

11) B.-G. Chun, S. Ihm, P. Maniatis, M. Naik, and A. Patti. Clonecloud: elastic execution between mobile device and cloud. In Eurosys. ACM, 2011.

12) Cisco. Iox overview. http://goo.gl/n2mfiw, 2014.

13) E. Cuervo, A. Balasubramanian, D.-k. Cho, A. Wolman, S. Saroiu, R. Chandra, and P. Bahl. Maui: making smartphones last longer with code offload. In Mobisys. ACM, 2010.

14) H. T. Dinh, C. Lee, D. Niyato, and P. Wang. A survey of mobile cloud computing: architecture, applications, and approaches. WCMC, 2013.

15) C. Dsouza, G.-J. Ahn, and M. Taguinod. Policy-driven security management for fog computing: Preliminary framework and a case study. In IRI. IEEE, 2014.

16) C. Dwork. Differential privacy. In Encyclopedia of Cryptography and Security. 2011.

17) N. I. M. Enzai and M. Tang. A taxonomy of computation offloading in mobile cloud computing. In MobileCloud. IEEE, 2014.

18) ETSI. Mobile-edge computing. http://goo.gl/7NwTLE, 2014.

19) Gil Press. Idc: Top 10 technolog

VOLUME 06 ISSUE 04 APRIL 2023

There is an Open Access article, distributed under the term of the Creative Commons Attribution – Non Commercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting and building upon the work for non-commercial use, provided the original work is properly cited.