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@article{196971,
        author = {Pooja Yadav and Neha and Muskan and Anshika Parshar and Aman Raghav},
        title = {An Empirical Performance Evaluation of Edge vs Cloud Computing in Modern Web System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {5360-5368},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196971},
        abstract = {The increasing demand for responsive and scalable web applications has highlighted the limitations of traditional cloud-centric architectures, particularly in latency-sensitive environments. Edge computing has emerged as a complementary paradigm that brings computation closer to end-users, thereby reducing communication delays and improving performance. This study presents an empirical evaluation of edge computing and cloud computing within modern web systems. The research investigates key performance indicators, including latency, response time, bandwidth consumption, and system throughput, under varying network conditions. A controlled experimental setup is designed to simulate both centralized cloud processing and distributed edge-based processing environments.
The findings reveal that edge computing significantly reduces latency and enhances response time in real-time scenarios, while cloud computing demonstrates superior scalability and resource management capabilities. The study concludes that a hybrid architecture integrating both paradigms offer an optimal solution for modern web applications.},
        keywords = {},
        month = {April},
        }