Enhancing Urban Surveillance with Fog Computing, Mobile Cloud, and Big Data Analytics in 5G Networks

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Page Numbers: 327-339
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Published: Nov 3, 2024
Digital Object Identifier: 10.58578/ijemt.v2i3.4056
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Authors:
Emmanuel Asolo1, Jeremiah Henry Chijioke2, Neibo Augustine Olobo3, Isaac Adeolu Oluwagbemi4, Chukwuemeka Chukwuma Osaro5
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Emmanuel Asolo
Osun State University, Nigeria
Jeremiah Henry Chijioke
Imo State University, Nigeria
Neibo Augustine Olobo
Joseph Sarwuan Tarka University, Nigeria
Isaac Adeolu Oluwagbemi
Federal University of Technology, Akure, Nigeria
Chukwuemeka Chukwuma Osaro
University of Benin, Nigeria

Abstract

The new emerging applications in 5G network, in the context of the Internet of Everything (IoE), will introduce high mobility, high scalability, real-time, and low latency requirements that raise new challenges on the services being provided to the users. Fortunately, Fog Computing and Cloud Computing, with their service orchestration mechanisms offer virtually unlimited dynamic resources for computation, storage and service provision, that will effectively cope with the requirements of the forthcoming services. 5G will use the benefits of centralized high performance computing cloud centers, cloud and fog RANs and distributed peer-to-peer mobile cloud that will create opportunities for companies to deploy many new real-time services that cannot be delivered over current mobile and wireless networks. This paper evaluates a model for fog and cloud hybrid environment service orchestration mechanisms for 5G network in terms of energy efficiency per user for different payloads.

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Article Details

How to Cite
Asolo, E., Chijioke, J. H., Olobo, N. A., Oluwagbemi, I. A., & Osaro, C. C. (2024). Enhancing Urban Surveillance with Fog Computing, Mobile Cloud, and Big Data Analytics in 5G Networks. International Journal of Education, Management, and Technology, 2(3), 327-339. https://doi.org/10.58578/ijemt.v2i3.4056

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Maqsood, A., Al-Mamun, M. R., & Uddin, M. M. (2020). Security and privacy in fog computing: A survey. IEEE Internet of Things Journal, 7(7), 6441-6456. https://doi.org/10.1109/JIOT.2020.2978232
Zhang, K., Yang, Y., & Liu, F. (2019). A survey on edge computing in the IoT: Challenges and opportunities. IEEE Internet of Things Journal, 6(2), 2304-2317. https://doi.org/10.1109/JIOT.2019.2891460
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Armbrust, M., Fox, A., Griffith, R., Joseph, A. D., Katz, R. H., Konwinski, A., ... & Zaharia, M. (2010). A view of cloud computing. Communications of the ACM, 53(4), 50-58. https://doi.org/10.1145/1721654.1721672
Chen, M., Ma, Y., Li, Y., Wu, D., & Zhang, Y. (2019). A survey on fog computing: Architecture, key technologies, applications, and future directions. IEEE Access, 7, 19726-19758. https://doi.org/10.1109/ACCESS.2019.2892559
Maqsood, A., Al-Mamun, M. R., & Uddin, M. M. (2020). Security and privacy in fog computing: A survey. IEEE Internet of Things Journal, 7(7), 6441-6456. https://doi.org/10.1109/JIOT.2020.2978232
Zhao, Q., Yang, J., & Liu, W. (2020). Mobile cloud computing: A new computing model for the IoT. IEEE Transactions on Cloud Computing, 8(1), 103-116. https://doi.org/10.1109/TCC.2018.2874924

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