Real-Time Cost Minimization of Fog Computing in Mobile-Base-Station Networked Disaster Areas

DOI

10.2991/978-94-6463-718-2_145How to use a DOI?

Keywords

Fog Computing; Cost Minimization; Disaster Recovery; Mobile Base Stations; Real-Time Optimization; Cloud-Fog Hybrid; Network Resilience; Scalability; Resource Allocation; Dynamic Network Conditions

Abstract

In such disaster-stricken areas, administrators proactively prioritize efficient communication with the local community and resource management in the disaster region, for enabling rapid recovery and minimizing operational expenses as much as possible. To summarize, the content of this paper is a general solution of minimizing costs in real-time upon a fog computing system widely accepted in mobile base stations for disaster recovery services rendered. The developed framework highlights the importance of real-time resource optimization, cross-layer management, and hybrid cloud-fog integration, thus addressing challenges posed by factors like dynamic network conditions, heterogeneous devices, and the demand for scalable solutions. This research demonstrates how fog computing’s decentralized architecture offers reliability and resilience compared to previous works relying on cloud-computing in geographically diverse and large-scale disaster landscape settings. A combination of low-latency, communication, efficiency of data processing, and scaling based on severity of disaster make it a robust and cost-effective network architecture. In addition, fog nodes are well orchestrated with the support of cloud computing for intensive computing but always costly. The results set a cornerstone for optimizing future discovery systems for disaster response, achieving the right trade-off between speed, scale and throughput in challenging environments.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - E. Nandhini
AU  - E. Baby Anitha
AU  - D. Sathiya
AU  - V. PraveenKumar
AU  - V. L. Vasanthaprabu
AU  - P. Vijay
PY  - 2025
DA  - 2025/05/23
TI  - Real-Time Cost Minimization of Fog Computing in Mobile-Base-Station Networked Disaster Areas
BT  - Proceedings of the International Conference on Sustainability Innovation in Computing and Engineering (ICSICE 2024)
PB  - Atlantis Press
SP  - 1745
EP  - 1761
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-718-2_145
DO  - 10.2991/978-94-6463-718-2_145
ID  - Nandhini2025
ER  -