Resource Allocation Analysis in Smart Cities and Fog Computing Addressing Multiple Periods and Services
Abstract
The Internet of Things (IoT) and Fog Computing (FC) technologies, when integrated, enable the development of smart urban systems and efficient processing of large volumes of data. This study presents a mathematical model for integrating these technologies and allocating resources to serve multiple network services in Smart Cities environments. In this context, multi-period service provision is justified in planning and scheduling the response to IoT sensor demands, minimizing fog and cloud nodes activation costs. The computational results show the limitations of an exact approach to solve the problem, and show future avenues concerning solution methods improvement based on heuristics.References
Bonomi, F., Milito, R., Zhu, J., and Addepalli, S. (2012). Fog computing and its role in the internet of things. In Proceedings of the first edition of the MCC workshop on Mobile cloud computing, pages 13–15.
Moreira, M. C. O., Araújo, S. M. A., and Mateus, G. R. (2024). Sensor, fog and cloud generator: new test instances based on the city of antwerp. [link]. Accessed on March 22, 2024.
Queiroz, T. A. d., Canali, C., Iori, M., and Lancellotti, R. (2022). An Optimization View to the Design of Edge Computing Infrastructures for IoT Applications, pages 1–30. Springer International Publishing, Cham.
Santos, J., Wauters, T., Volckaert, B., and De Turck, F. (2021). Towards end-to-end resource provisioning in fog computing over low power wide area networks. Journal of Network and Computer Applications, 175:102915.
Srirama, S. N. (2024). A decade of research in fog computing: Relevance, challenges, and future directions. Software: Practice and Experience, 54(1):3–23.
Zhou, Y., Yu, F. R., Chen, J., and Kuo, Y. (2020). Cyber-physical-social systems: A state-of-the-art survey, challenges and opportunities. IEEE Communications Surveys and Tutorials, 22:389–425.
Moreira, M. C. O., Araújo, S. M. A., and Mateus, G. R. (2024). Sensor, fog and cloud generator: new test instances based on the city of antwerp. [link]. Accessed on March 22, 2024.
Queiroz, T. A. d., Canali, C., Iori, M., and Lancellotti, R. (2022). An Optimization View to the Design of Edge Computing Infrastructures for IoT Applications, pages 1–30. Springer International Publishing, Cham.
Santos, J., Wauters, T., Volckaert, B., and De Turck, F. (2021). Towards end-to-end resource provisioning in fog computing over low power wide area networks. Journal of Network and Computer Applications, 175:102915.
Srirama, S. N. (2024). A decade of research in fog computing: Relevance, challenges, and future directions. Software: Practice and Experience, 54(1):3–23.
Zhou, Y., Yu, F. R., Chen, J., and Kuo, Y. (2020). Cyber-physical-social systems: A state-of-the-art survey, challenges and opportunities. IEEE Communications Surveys and Tutorials, 22:389–425.
Published
2024-07-21
How to Cite
MOREIRA, Mayron C. O.; ARAÚJO, Samuel M. A.; MATEUS, Geraldo R..
Resource Allocation Analysis in Smart Cities and Fog Computing Addressing Multiple Periods and Services. In: PROCEEDINGS OF THE THEORY OF COMPUTATION MEETING (ETC), 9. , 2024, Brasília/DF.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 53-57.
ISSN 2595-6116.
DOI: https://doi.org/10.5753/etc.2024.2432.
