Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)

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Future Directions in Fog Computing: A Comparative Study of Resource Allocation Strategies

Authors
Aakriti Mair1, Chanchal Ahlawat1, *, Garima Dua1, Kartikey Sharma1
1School of Computer Science Engineering and Technology, Bennett University, Greater Noida, India
*Corresponding author. Email: Chanchal.Ahlawat@bennett.edu.in
Corresponding Author
Chanchal Ahlawat
Available Online 4 November 2025.
DOI
10.2991/978-94-6463-858-5_199How to use a DOI?
Keywords
Internet of Things (IoT); Healthcare Monitoring; Smart Grid Systems; Fog Computing; Resource Allocation; Reduced Latency
Abstract

Fog computing acts as a vital link between cloud and edge devices, providing low-latency, high-bandwidth, and context-aware services. As the demand for real-time processing increases in IoT, 5G, and AI-enhanced applications, it responds to the drawbacks of centralized cloud models. This document presents a comparative analysis of current fog architectures, emphasizing their benefits, obstacles, and performance across different scenarios. Key factors such as resource allocation, energy efficiency, and scalability are analyzed to comprehend fog computing’s significance in upcoming distributed systems. Furthermore, the research investigates hybrid fog- edge strategies to optimize resource use and ensure dependable service delivery. Through case studies and performance evaluations, emerging trends like AI- driven orchestration, multi-tiered fog networks, and next-generation wireless integration are recognized. The conclusions enhance the development of fog computing frameworks, providing meaningful insights for researchers and industry experts. This study supports the creation of efficient, scalable, and latency-sensitive applications, contributing to the future of interconnected systems.

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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Volume Title
Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
Series
Advances in Computer Science Research
Publication Date
4 November 2025
ISBN
978-94-6463-858-5
ISSN
2352-538X
DOI
10.2991/978-94-6463-858-5_199How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - Aakriti Mair
AU  - Chanchal Ahlawat
AU  - Garima Dua
AU  - Kartikey Sharma
PY  - 2025
DA  - 2025/11/04
TI  - Future Directions in Fog Computing: A Comparative Study of Resource Allocation Strategies
BT  - Proceedings of International Conference on Computer Science and Communication Engineering (ICCSCE 2025)
PB  - Atlantis Press
SP  - 2382
EP  - 2395
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-858-5_199
DO  - 10.2991/978-94-6463-858-5_199
ID  - Mair2025
ER  -