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A Study of Fog Computing Technology Serving Internet of Things (IoT)

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Smart Computing Paradigms: New Progresses and Challenges

Abstract

In some applications of IoT, it is imperative to hasten the processing of data in order to get real-time conclusions. With this objective, CISCO devised fog computing, a next-generation networking technology. It resembles to the cloud but in a miniature form, which serves the edge of the network from a closer geographic location. It has the ability to enhance the yields of ubiquitous smart networks and is a step forward toward a smarter world. In this paper, an effort has been made to expound the underlying concept of fog computing technology with a comparison with other similar technologies. The challenges of this technology highlighted along with recent work progress to address them are also discussed.

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References

  1. S. Madakam, R. Ramaswamy, S. Tripathi, Internet of things (IoT): a literature review. J. Comput. Commun. 3, 164–173 (2015)

    Article  Google Scholar 

  2. S. Sarkary, S. Chatterjee, S. Misra, Assessment of the suitability of Fog computing in the context of Internet of Things. IEEE Trans. Cloud Comput. https://doi.org/10.1109/TCC.2015.2485206

    Article  Google Scholar 

  3. F. Ramalho, A. Neto, K. Santos, J.B. Filho, N. Agoulmine, Enhancing eHealth smart applications: a Fog-enabled approach, in 2015 17th International Conference on E-health Networking, Application & Services (HealthCom) (Boston, MA, 2015), pp. 323–328

    Google Scholar 

  4. P. Gupta, S. Gupta, Mobile cloud computing: the future of cloud. Int. J. Adv. Res. Electr. Electron. Instrum. Eng. 1(3) (2012)

    Google Scholar 

  5. A.E.H.G. El-Barbary, L.A.A. El-Sayed, H.H. Aly, M.N. El-Derini, A cloudlet architecture using mobile devices, in 2015 IEEE/ACS 12th International Conference of Computer Systems and Applications (AICCSA) (Marrakech, 2015), pp. 1–8

    Google Scholar 

  6. M. Chen, Y. Hao, Y. Li, C.F. Lai, D. Wu, On the computation offloading at ad hoc cloudlet: architecture and service modes. IEEE Commun. Mag. 53(6), 18–24 (2015)

    Article  Google Scholar 

  7. F. Bonomi, R. Milito, J. Zhu, S. Addepalli, Fog computing and its role in the Internet of Things, in Proceedings of the First Edition of the MCC Workshop on Mobile Cloud Computing (MCC’12) (ACM, New York, NY, USA, 2012), pp. 13–16

    Google Scholar 

  8. http://www.thinnect.com/static/2016/08/cloud-fog-mist-computing-062216.pdf

  9. Y. Cao, S. Chen, P. Hou, D. Brown, FAST: a Fog computing assisted distributed analytics system to monitor fall for stroke mitigation, in 2015 IEEE International Conference on Networking, Architecture and Storage (NAS) (Boston, MA, 2015), pp. 2–11

    Google Scholar 

  10. D. Bruneo et al., Stack4Things as a fog computing platform for Smart City applications, in 2016 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (San Francisco, CA, 2016), pp. 848–853

    Google Scholar 

  11. X.-Q. Pham, E.-N. Huh, Towards task scheduling in a cloud-Fog computing system, in 2016 18th Asia-Pacific Network Operations and Management Symposium (APNOMS) (Kanazawa, 2016), pp. 1–4

    Google Scholar 

  12. H.J. Hong, P.H. Tsai, C.H. Hsu, Dynamic module deployment in a Fog computing platform, in 2016 18th Asia-Pacific Network Operations and Management Symposium (APNOMS) (Kanazawa, 2016), pp. 1–6

    Google Scholar 

  13. Y. Lin, H. Shen, Cloud Fog: towards high quality of experience in cloud gaming, in 2015 44th International Conference on Parallel Processing (Beijing, 2015), pp. 500–509

    Google Scholar 

  14. N. Chen, Y. Chen, Y. You, H. Ling, P. Liang, R. Zimmermann, Dynamic urban surveillance video stream processing using Fog computing, in 2016 IEEE Second International Conference on Multimedia Big Data (BigMM) (Taipei, 2016), pp. 105–112

    Google Scholar 

  15. D. Ye, M. Wu, S. Tang, R. Yu, Scalable Fog computing with service offloading in bus networks, in 2016 IEEE 3rd International Conference on Cyber Security and Cloud Computing (CSCloud) (Beijing, 2016), pp. 247–251

    Google Scholar 

  16. P. Hu, H. Ning, T. Qiu, Y. Zhang, X. Luo, Fog computing based face identification and resolution scheme in Internet of Things. IEEE Trans. Ind. Inform. 13(4), 1910–1920 (2017)

    Article  Google Scholar 

  17. S. Verma, A.K. Yadav, D. Motwani, R.S. Raw, H.K. Singh, An efficient data replication and load balancing technique for Fog computing environment, in 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom) (New Delhi, 2016), pp. 2888–2895

    Google Scholar 

  18. A. Monteiro, H. Dubey, L. Mahler, Q. Yang, K. Mankodiya, Fit: a Fog computing device for speech tele-treatments, in 2016 IEEE International Conference on Smart Computing (SMARTCOMP) (St. Louis, MO, 2016), pp. 1–3

    Google Scholar 

  19. F.Y. Okay, S. Ozdemir, A Fog computing based smart grid model, in 2016 International Symposium on Networks, Computers and Communications (ISNCC) (Yasmine Hammamet, 2016), pp. 1–6

    Google Scholar 

  20. J. Oueis, E.C. Strinati, S. Barbarossa, Distributed mobile cloud computing: a multi-user clustering solution, in 2016 IEEE International Conference on Communications (ICC) (Kuala Lumpur, 2016), pp. 1–6

    Google Scholar 

  21. C.F. Lai, D.Y. Song, R.H. Hwang, Y.X. Lai, A QoS-aware streaming service over fog computing infrastructures, in 2016 Digital Media Industry & Academic Forum (DMIAF) (Santorini, 2016), pp. 94–98

    Google Scholar 

  22. M. Peng, S. Yan, K. Zhang, C. Wang, Fog-computing-based radio access networks: issues and challenges. IEEE Netw. 30(4), 46–53 (2016)

    Article  Google Scholar 

  23. S Nagar, S Setia, A detail review on Fog computing security. IJIRCCE 4(6) (2016) https://doi.org/10.15680/IJIRCCE.2016.04063

  24. P. Kumar, N. Zaidi, T. Choudhury, Fog computing: common security issues and proposed countermeasures, in 2016 International Conference System Modeling & Advancement in Research Trends (SMART) (Moradabad, 2016), pp. 311–315

    Google Scholar 

  25. H. Kopetz, S. Poledna, In-vehicle real-time Fog computing, in 2016 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshop (DSN-W) (Toulouse, 2016), pp. 162–167

    Google Scholar 

  26. A.V. Dastjerdi, R. Buyya, Fog computing: helping the Internet of Things realize its potential. Computer 49(8), 112–116 (2016)

    Article  Google Scholar 

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Thanks to TEQIP-III for funding this paper.

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Correspondence to Sumanta Banerjee .

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Banerjee, S., Mukherjee, S., Purkayastha, B. (2020). A Study of Fog Computing Technology Serving Internet of Things (IoT). In: Elçi, A., Sa, P., Modi, C., Olague, G., Sahoo, M., Bakshi, S. (eds) Smart Computing Paradigms: New Progresses and Challenges. Advances in Intelligent Systems and Computing, vol 767. Springer, Singapore. https://doi.org/10.1007/978-981-13-9680-9_27

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