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Optimizing urban resource management through cloud and fog computing in smart cities.

Authors :
Singh, Kiran Deep
Singh, Prabh Deep
Verma, Rohan
Maurya, Sudhanshu
Source :
AIP Conference Proceedings. 2024, Vol. 3121 Issue 1, p1-8. 8p.
Publication Year :
2024

Abstract

The implementation of smart cities is necessary in order to enhance the management of urban resources through the use of cloud and fog computing, owing to a multitude of pressing concerns and evolving urban dynamics. In this paper, the incorporation of cloud and fog computing with a Cyber-Physical System (CPS) is presented to enhance the efficiency of urban resource management in the context of smart cities. As the process of urbanization intensifies, cities are confronted with unparalleled obstacles in their pursuit of sustainability, optimal resource allocation, and enhanced well-being for their inhabitants. Smart cities, which are constructed based on the concepts of technology-driven efficiency and sustainability, provide novel resolutions to these intricate urban challenges. The integration of cloud and fog computing technologies is the fundamental basis for the development of CPS. A CPS-based framework is presented that serves as a bridge between the physical and digital realms. An algorithm for task placement for urban resource management is proposed that reduces the latency and network consumption to facilitate the seamless integration of real-time data monitoring, analysis, and control mechanisms for essential resources. In the simulation, the iFogSim toolkit is used for performing the experiments. The results show the effectiveness of the proposed framework. Through the utilization of these technologies, smart cities have the potential to establish a foundation for urban environments that are characterized by enhanced sustainability, efficiency, and livability. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
0094243X
Volume :
3121
Issue :
1
Database :
Academic Search Index
Journal :
AIP Conference Proceedings
Publication Type :
Conference
Accession number :
178404563
Full Text :
https://doi.org/10.1063/5.0222009