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Towards Decentralized Fog Computing: A Comprehensive Review of Models, Architectures, and Services

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Data Science and Applications (ICDSA 2023)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 818))

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Abstract

Cloud computing, in general terms, is a multi-tenant architecture that serves as a virtual platform and storage solution. Such solutions offer various services such as static audio/video storage, video streaming on-demand, that requires constant push–pull of resources to-and-fro the client network and cloud, leading to bandwidth bottleneck and network latency. In an evolution to optimize the network usage metrics, a novel decentralized architecture ‘Fog Computing’ has emerged. It is an extension to cloud and enables the deployment of computing resources at the network edge, providing low-latency, high-bandwidth services to end-users. This paper presents arguments to deploy fog network for resource constraint systems using Software-defined models and styles—hierarchical, flat, and understand the network usage improvements per style. For resource-demanding systems, the paper proposes to opt-in for HWP and FNP style, and HNP, FWP on the other hand for latency-agnostic ones. It also covers architectural dimension analysis and a decision matrix for the researchers, to implement an operational model for various applications, smart cities, health care, vehicular networks, IOT, etc. An additional distinguishing artefact that this paper unfolds is the literary contributions around device dimension, which is a key dimension in designing Fog networks. In summary, the paper suggests leveraging the benefits of fog paradigm and understanding the architectural patterns to set up a fog network for application-specific needs.

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References

  1. Sabireen, H., & Neelanarayanan, V. (2021). A review on fog computing: Architecture, fog with IoT, algorithms and research challenges. ICT Express, 7(2), 162–176. https://doi.org/10.1016/j.icte.2021.05.004

    Article  Google Scholar 

  2. Alharbi, S., Alzahrani, B., & Alrajeh, N. (2020). A fog computing architecture for the Internet of Things. Journal of Ambient Intelligence and Humanized Computing, 11(2), 677–688.

    Google Scholar 

  3. Taleb, A., Ksentini, A., & Jammal, M. (2017). Multi-access edge computing: A survey of the state-of-the-art. IEEE Communications Surveys and Tutorials, 19(3), 1657–1681.

    Article  Google Scholar 

  4. Gao, W., Xu, W., Zhao, W., & Mao, S. (2019). A survey of fog computing: Concepts, applications, and issues. Proceedings of the IEEE, 107(9), 1717–1741. Clerk Maxwell, J. (1892). A treatise on electricity and magnetism, 3rd ed. (Vol. 2, pp. 68–73). Clarendon

    Google Scholar 

  5. Wang, J., Cao, G., Liang, J., & Liu, X. (2018). Fog computing: Focusing on mobile users at the edge. In Proceedings of the 2018 IEEE international conference on communications (ICC), Kansas City, MO, USA (pp. 1–6). https://doi.org/10.1109/ICC.2018.8422391.

  6. Mouradian, C., Naboulsi, D., Yangui, S., Glitho, R., Morrow, M., & Polakos, P. (2017). A comprehensive survey on fog computing: State-of-the-art and research challenges. IEEE Communications Surveys and Tutorials, 20, 416–464. https://doi.org/10.1109/COMST.2017.2771153

    Article  Google Scholar 

  7. Nobre, J. C., de Souza, A. M., Rosário, D., Both, C., Villas, L. A., Cerqueira, E., Braun, T., & Gerla, M. (2019). Vehicular software defined networking and fog computing: Integration and design principles. Ad Hoc Networks, 82, 172–181.

    Article  Google Scholar 

  8. Shaheen, Q., Shiraz, M., Hashmi, M. U., Mahmood, D., Zhiyu, Z., & Akhtar, R. (2020). A lightweight location-aware fog framework (LAFF) for QoS in Internet of Things paradigm. Mobile Information Systems, 2020, 15. https://doi.org/10.1155/2020/8871976

    Article  Google Scholar 

  9. Ribeiro, F., Prati, R., Bianchi, R., Kamienski, C. (2020). A nearest neighbors based data filter for fog computing in IoT smart agriculture

    Google Scholar 

  10. Aazam, M. (2017). Fog computing: A taxonomy, survey and future directions. Journal of Network and Computer Applications, 98, 27–53. https://doi.org/10.1016/j.jnca.2017.09.022

    Article  Google Scholar 

  11. Wang, J., Cao, G., Liang, J., & Liu, X. (2018). Fog computing: Focusing on mobile users at the edge. In Proceedings of the 2018 IEEE international conference on communications (ICC), Kansas City, MO (pp. 1–6). https://doi.org/10.1109/ICC.2018.8422391

  12. Azam, K. M., Aazam, M., & Ahmed, S. H. (2017). A comparative study of fog and cloud computing for IoT applications. In Proceedings of the 2017 6th international conference on industrial technology and management (ICITM), Tehran (pp. 1–6). https://doi.org/10.1109/ICITM.2017.7912134

  13. Karagiannis, V., & Schulte, S. (2020). Comparison of alternative architectures in fog computing. In Proceedings of the 2020 IEEE 4th international conference on fog and edge computing (ICFEC), Melbourne, VIC (pp. 19–28). https://doi.org/10.1109/ICFEC50348.2020.00010.

  14. Kruchten, P. (1995). Architectural blueprints—the “4+1” view model of software architecture. IEEE software, 12(6), 42–50.

    Article  Google Scholar 

  15. Vaquero, L. M., Rodero-Merino, L., & Caceres, J. (2014). A break in the clouds: Towards a cloud definition. ACM SIGCOMM Computer Communication Review, 39(1), 50–55.

    Article  Google Scholar 

  16. Mann, Z. Á. (2021). Notions of architecture in fog computing. Computing, 103, 51–73. https://doi.org/10.1007/s00607-020-00848-z

    Article  MathSciNet  Google Scholar 

  17. OpenFog Consortium. (2018). IEEE standard for adoption of OpenFog reference architecture for fog computing. IEEE Std 1934-2018, 2, 1-176. https://doi.org/10.1109/IEEESTD.2018.8423800

  18. Satyanarayanan, M. (2017). The emergence of edge computing. Computer, 50(1), 30–39.

    Article  Google Scholar 

  19. ETSI GS MEC 003 V2.1.1 (2019-01). (2023). Multi-access edge computing (MEC). In Framework and reference architecture. https://www.etsi.org/deliver/etsi_gs/mec/001_099/003/02.01.01_60/gs_mec003v020101p.pdf. Accessed 05 May 2023

  20. Mach, P., & Becvar, Z. (2017). Mobile edge computing: A survey on architecture and computation offloading. IEEE Communication Survey Tutor, 19(3), 1628–1656.

    Article  Google Scholar 

  21. Becvar, Z., Rohlik, M., Mach, P., Vondra, M., Vanek, T., Puente, M. A., & Lobillo, F. (2017). Distributed architecture of 5G mobile networks for efficient computation management in mobile edge computing. In H. Venkataraman, & R. Trestian (Eds.), Chapter in 5G radio access network (RAN): Centralized RAN, cloud-RAN and virtualization of small cells. Taylor and Francis Group

    Google Scholar 

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Correspondence to Rushikesh Rajendra Nikam .

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Nikam, R.R., Motwani, D. (2024). Towards Decentralized Fog Computing: A Comprehensive Review of Models, Architectures, and Services. In: Nanda, S.J., Yadav, R.P., Gandomi, A.H., Saraswat, M. (eds) Data Science and Applications. ICDSA 2023. Lecture Notes in Networks and Systems, vol 818. Springer, Singapore. https://doi.org/10.1007/978-981-99-7862-5_11

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