Edge And Fog Computing in Distributed Systems: Architectural Insights and Challenges

  • Unique Paper ID: 195172
  • Volume: 12
  • Issue: 10
  • PageNo: 7583-7585
  • Abstract:
  • The rapid growth of latency-sensitive applications has revealed the limitations of traditional cloud computing. Edge and fog computing address these issues by processing data closer to end devices, reducing latency, network congestion, and improving data privacy. These technologies are particularly useful in areas such as Internet of Things (IoT), smart cities, and real-time analytics. This paper discusses the relationship between edge, fog, and cloud computing in distributed systems and highlights key challenges including resource management, scalability, and security. It also explores emerging trends such as AI integration and 5G connectivity, emphasizing the importance of decentralized computing in improving system responsiveness and efficiency.

Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{195172,
        author = {Dr. N. Menaga and Ms.G. Aanezen and Ms.PL. Karpagavall and Mr. S. Arun},
        title = {Edge And Fog Computing in Distributed Systems: Architectural Insights and Challenges},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {7583-7585},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=195172},
        abstract = {The rapid growth of latency-sensitive applications has revealed the limitations of traditional cloud computing. Edge and fog computing address these issues by processing data closer to end devices, reducing latency, network congestion, and improving data privacy. These technologies are particularly useful in areas such as Internet of Things (IoT), smart cities, and real-time analytics. This paper discusses the relationship between edge, fog, and cloud computing in distributed systems and highlights key challenges including resource management, scalability, and security. It also explores emerging trends such as AI integration and 5G connectivity, emphasizing the importance of decentralized computing in improving system responsiveness and efficiency.},
        keywords = {Edge Computing, Fog Computing, Cloud Computing, Distributed Systems, IoT, Network Latency, Cybersecurity.},
        month = {March},
        }

Cite This Article

Menaga, D. N., & Aanezen, M., & Karpagavall, M., & Arun, M. S. (2026). Edge And Fog Computing in Distributed Systems: Architectural Insights and Challenges. International Journal of Innovative Research in Technology (IJIRT), 12(10), 7583–7585.

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