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@article{197158,
        author = {Mohit Khairnar and Shubham Jadhav and Deep Kale},
        title = {Performance Analysis of Edge Computing versus Cloud Computing for Real-Time IoT Applications},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {8306-8312},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=197158},
        abstract = {The resulting proliferation of Internet of Things (IoT) devices has created massive data streams, thus frustrating traditional cloud-based processing models. This paper analyzes performance trade-offs of the edge and cloud computing in real-time IoT applications. Latency, bandwidth utilisation, scalability, energy consumption and cost are the key metrics that are discussed and an explanation is given on how each paradigm solves these aspects. As an example, edge computing provides processing of data adjacent to the source, and is associated with truncating round-trip latencies and network traffic, whereas cloud computing resources are virtually unlimited and are centrally managed. The practical use (e.g. smart healthcare, autonomous vehicles, industrial IoT) is analyzed to show how these paradigms are applied; the problem of resource limits and security are addressed, and the perspectives of the future are presented (e.g. TinyML, 5G, and hybrid models). The results point to the fact that edge and cloud are not always the best options; instead, a combination of these strategies that more or less combine the advantages of the two slowly prevails.},
        keywords = {},
        month = {April},
        }