Intelligent Edge–Cloud Collaboration for Next-Generation Smart Applications

  • Authors

    • H. N. Mahabala Computer Scientist, Tata Institute of Fundamental Research, India. Author

    DOI:

    https://doi.org/10.67228/30715636/IJETMR-2025PI8M2Q

    Published 02-03-2025

  • Edge Computing, Cloud Computing, Edge–Cloud Collaboration, Artificial Intelligence, Internet of Things, Smart Applications, Resource Allocation, Intelligent Task Scheduling, Distributed Computing, 5G Networks, Edge Intelligence, Federated Learning

    Issue

    Vol. 8 No. 1 (2025)

    Section

    Articles

    How to Cite

    [1]
    M. H. N, “Intelligent Edge–Cloud Collaboration for Next-Generation Smart Applications”, IJETMR, vol. 8, no. 1, pp. 01–18, Feb. 2025, doi: 10.67228/30715636/IJETMR-2025PI8M2Q.

  • Abstract

    The rapid growth of IoT, 5G, AI, and cyber-physical systems has accelerated the development of smart applications that require low-latency, reliable, and intelligent computing. Traditional cloud computing faces challenges in meeting these demands due to latency, bandwidth, and privacy limitations. Intelligent Edge–Cloud collaboration addresses these issues by combining edge computing with cloud resources for efficient workload distribution, AI-driven resource management, and adaptive service orchestration. This paper reviews recent advances in collaborative architectures, distributed AI, intelligent orchestration, and resource optimization. It also highlights key challenges, including interoperability, security, heterogeneous resource management, and sustainable computing, while demonstrating the potential of Edge–Cloud collaboration to improve computational efficiency, response time, energy efficiency, scalability, and privacy for next-generation smart applications.

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