THE FUTURE OF FOG COMPUTING IN KENYA

Authors

  • Rebeccah Ndungi
  • Dr Bambang Sugiantoro

DOI:

https://doi.org/10.47672/ajce.857
Abstract views: 204
PDF downloads: 281

Keywords:

Fog computing, real-time systems, IoT, edge computing, technology.

Abstract

The study, titled "The Future of Fog Computing in Kenya," discusses fog computing, computing evolution, and the Internet of Things. It has layers ideal for fog networks. The architecture depicts the functions performed by each layer, the protocols, devices, and their functionality at various layers. Fog computing extends cloud computing and helps mitigate its difficulties. The study also goes forth to explain the various sectors where fog-computing technology is applied and the various merits associated with it. In order to improve present technology, this article will greatly help researchers in Kenya and beyond by giving ideas and suggestions as a way to focus on the COUNTRY’S VISION 2030.

Downloads

Download data is not yet available.

Author Biographies

Rebeccah Ndungi

Department of Informatics Engineering, UIN Sunan Kalijaga Yogyakarta, Indonesia

Dr Bambang Sugiantoro

Department of Informatics Engineering, UIN Sunan Kalijaga Yogyakarta, Indonesia

References

Ministry of State for Planning, National Development and Vision 2030 (10 June 2008). "Launching Of Kenya Vision 2030 Speech by His Excellency Hon. Mwai Kibaki, CGH, MP". Ministry of State for Planning, National Development and Vision 2030.

"Vision 2030 - Vision". Government of Kenya. Retrieved 7 November 2021. http://vision2030.go.ke/vision-2030-collaboration-with-central-planning-and-projects-monitoring-units/.

Russell Shackelford & Andrew McGettrick & Robert Sloan & Heikki Topi & Gordon Davies & Reza Kamali & James Cross & John Impagliazzo & Richard Leblanc & Barry Lunt (2006). Computing Curricula 2005: A Survey. 38. 456-457. 10.1145/1121341.1121482.

Fog Orchestrator as an Enabler for Security in Fog Computing: A Review », 2019 International Multidisciplinary Information Technology and Engineering Conference (IMITEC), pp. 1-6, doi: 10.1109/IMITEC45504.2019.9015896.

Aazam, M., S. Zeadally, et al (2018b). Offloading in IoT fog computing: Review, enablers, and research. 87.

J. Garca-Almiana, A. Jukan, G.-J. Ren, J. Zhu Do we all understand a fog node? Open definitions are now trending. 109, 117–130 (2017). https://doi.org/10.1016/j.comcom.2017.05.013

X. Tang, Y. Li, R. Ren and W. Cai, "On First Fit Bin Packing for Online Cloud Server Allocation," 2016 IEEE International Parallel and Distributed Processing Symposium (IPDPS), Chicago, IL, 2016, pp. 323-332, doi: 10.1109/IPDPS.2016.42.

Atlam, Hany & Walters, Robert & Wills, Gary ”Fog Computing and the Internet of Things: A Review” Big Data and Cognitive Computing., 2018, 2. 10.3390/bdcc2020010

A V. Dastjerdi, H. Gupta, R. N. Calheiros, S. K. Ghosh, and R. Buyya, “Fog computing: Principles, architectures, and applications,” in Internet of Things: Principle & Paradigms, M. Kaufmann, Ed., USA, 2016

J. K. Zao, T. T. Gan, C. K. You, S. J. R. Méndez, C. E. Chung, Y. TeWang, T. Mullen, and T. P. Jung, “Augmented brain computer interaction based on fog computing and linked data,” in Proceeding of the International Conference on Intelligent Environments (IE). IEEE, 2014, pp. 374–377.

S. Khan, S. Parkinson, and Y. Qin, “Fog computing security: a review of current applications and security solutions,” J. Cloud Compute., vol. 6, no. 1, 2017

Z. Samani, N. Saurabh and R. Prodan, "Multilayer Resource-aware Partitioning for Fog Application Placement," in 2021 IEEE 5th International Conference on Fog and Edge Computing (ICFEC), Melbourne, Australia, 2021 pp. 9-18. doi: 10.1109/ICFEC51620.2021.00010.

Mukherjee, M.; Shu, L.; Wang, D. Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges. IEEE Commun. Surv. Tutor. 2018, PP

Aazam, M.; Huh, E.N. Fog computing and smart gateway based communication for cloud of things. In Proceedings of the 2014 International Conference on Future Internet of Things Cloud, FiCloud 2014, Barcelona, Spain, 27–29 August 2014; pp. 464–470

Aazam, M.; Huh, E.N. Fog computing micro datacenter based dynamic resource estimation and pricing model for IoT. Proc. Int. Conf. Adv. Inf. Netw. Appl. AINA 2015, 2015, 687–694

Muntjir, M.; Rahul, M.; Alhumyani, H.A. An Analysis of Internet of Things (IoT): Novel Architectures, Modern Applications, Security Aspects and Future Scope with Latest Case Studies. Int. J. Eng. Res. Technol. 2017, 6, 422–447.

Liu, Y., Zhang, J. & Zhan, J. Privacy protection for fog computing and the internet of things data based on blockchain. Cluster Comput 24, 1331–1345 (2021). https://doi.org/10.1007/s10586-020-03190-3

A. Seitz, D. Buchinger, and B. Bruegge, ‘‘The conjunction of fog computing and the industrial Internet of Things—An applied approach,’’ in Proc. IEEE Int. Conf. Pervas. Comput. Commun. Workshops (PerCom Workshops), Athens, Greece, Mar. 2018, pp. 812–817, doi: 10.1109/PERCOMW.2018.8480288.

D. Amendola, N. Cordeschi, and E. Baccarelli, ‘‘Bandwidth management VMs live migration in wireless fog computing for 5G networks,’’ in Proc. 5th IEEE Int. Conf. Cloud Netw. (Cloudnet), Pisa, Italy, Oct. 2016, pp. 21–26, doi: 10.1109/CloudNet.2016.36

T. N. Gia, M. Jiang, A.-M. Rahmani, T. Westerlund, P. Liljeberg, and H. Tenhunen, ‘‘Fog computing in healthcare Internet of Things: A case study on ECG feature extraction,’’ in Proc. IEEE Int. Conf. Comput. Inf. Technol., Ubiquitous Comput. Commun, Dependable, Autonomic Secure Comput., Pervas. Intell. Comput., Liverpool, U.K., Oct. 2015, pp. 356–363, doi: 10.1109/CIT/IUCC/DASC/PICOM.2015.51

E. Baccarelli, P. G. V. Naranjo, M. Scarpiniti, M. Shojafar, and J. H. Abawajy, ‘‘Fog of everything: Energy-efficient networked computing architectures, research challenges, and a case study,’’ IEEE Access, vol. 5, pp. 9882–9910, 2017.

L. F. Bittencourt, J. Diaz-Montes, R. Buyya, O. F. Rana, and M. Parashar, ‘‘Mobility-aware application scheduling in fog computing,’’ IEEE Cloud Comput., vol. 4, no. 2, pp. 26–35, Mar. 2017

] T.-A.-N. Abdali, R. Hassan, R. C. Muniyandi, A. H. M. Aman, Q. N. Nguyen, and A. S. Al-Khaleefa, ‘‘Optimized particle swarm optimization algorithm for the realization of an enhanced energy-aware location-aided routing protocol in MANET,’’ Information, vol. 11, no. 11, p. 529, Nov. 2020.

I. Butun, A. Sari, and P. Osterberg, ‘‘Security implications of fog computing on the Internet of Things,’’ in Proc. IEEE Int. Conf. Consum. Electron. (ICCE), Las Vegas, NV, USA, Jan. 2019, pp. 1–6, doi: 10.1109/ICCE.2019.8661909.

L. Zhang and J. Li, ‘‘Enabling robust and privacy-preserving resource allocation in fog computing,’’ IEEE Access, vol. 6, pp. 50384–50393, 2018.

] Y. Wang, T. Uehara, and R. Sasaki, ‘‘Fog computing: Issues and challenges in security and forensics,’’ in Proc. IEEE 39th Annu. Comput. Softw. Appl. Conf., Taichung, Taiwan, Jul. 2015, pp. 53–59, doi: 10.1109/COMPSAC.2015.173

J. Wu, M. Dong, K. Ota, J. Li, and Z. Guan, ‘‘FCSS: Fog-computing-based content-aware filtering for security services in information-centric social networks,’’ IEEE Trans. Emerg. Topics Comput., vol. 7, no. 4, pp. 553–564, Oct. 2019.

M. Altayeb and S. M. Sharif, ‘‘The design and implementation of fog computing cluster for high-speed computation intensive real-time wireless sensor network,’’ in Proc. Int. Conf. Comput., Control, Electr., Electron. Eng. (ICCCEEE), Khartoum, Sudan, Aug. 2018, pp. 1–6, doi: 10.1109/ICCCEEE.2018.8515768

F. A. Kraemer, A. E. Braten, N. Tamkittikhun, and D. Palma, ‘‘Fog computing in healthcare—A review and discussion,’’ IEEE Access, vol. 5, pp. 9206–9222, 2017.

L. Zhang and J. Li, ‘‘Enabling robust and privacy-preserving resource allocation in fog computing,’’ IEEE Access, vol. 6, pp. 50384–50393, 2018.

A. Yousefpour, G. Ishigaki, and J. P. Jue, ‘‘Fog computing: Towards minimizing delay in the Internet of Things,’’ in Proc. IEEE Int. Conf. Edge Comput. (EDGE), Honolulu, HI, USA, Jun. 2017, pp. 17–24, doi: 10.1109/IEEE.EDGE.2017.12

F. Jalali, K. Hinton, R. Ayre, T. Alpcan, and R. S. Tucker, ‘‘Fog computing may help to save energy in cloud computing,’’ IEEE J. Sel. Areas Commun., vol. 34, no. 5, pp. 1728–1739, May 2016.

M. Bousselham, N. Benamar, and A. Addaim, ‘‘A new security mechanism for vehicular cloud computing using fog computing system,’’ in Proc. Int. Conf. Wireless Technol., Embedded Intell. Syst. (WITS), Fez, Morocco, Apr. 2019, pp. 1–4, doi: 10.1109/WITS.2019.8723723

Chakraborty, Moonmoon. (2019). Fog Computing Vs. Cloud Computing. 10.6084/m9.figshare.7886126.

Downloads

Published

2021-11-26

How to Cite

Ndungi, R. ., & Sugiantoro, B. . (2021). THE FUTURE OF FOG COMPUTING IN KENYA. American Journal of Computing and Engineering, 4(2), 1 - 9. https://doi.org/10.47672/ajce.857

Issue

Section

Articles