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@article{174738,
        author = {Aishwarya G P and A Madhumitha and B P Swathi and Govinda Raju M and B Vanaja},
        title = {A Comprehensive Review On Edge Computing - Architecture, Algorithm, and Devices},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {545-553},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=174738},
        abstract = {Traditional cloud-based solutions face issues such as excessive latency, network congestion, and security flaws, making edge computing an essential option for latency-sensitive applications. This study investigates current improvements in edge computing architectures, algorithms, and hardware plat- forms designed specifically for embedded systems. We investigate significant architectural concepts such as Fog Computing, Mobile Edge Computing (MEC), and Cloudlet Computing, emphasizing their importance in boosting processing efficiency and network performance. In addition, we look at developing edge computing strategies that include dynamic service placement, resource allocation, and redundancy management, which improve compu- tational efficiency and adaptability. The article also explores edge computing’s various applications, including video surveillance, gearbox condition monitoring, and bedside healthcare systems, demonstrating its usefulness in real-time data processing.},
        keywords = {Edge computing, Edge devices, Cloud computing, Fog computing, Cloud edge collaboration},
        month = {March},
        }