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@article{208196,
        author = {Akshara Wagh and Dr. Sugandha Nandedkar and Dr. R.M Autee},
        title = {Improved Load Balancing in Content Delivery Networks},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {13},
        number = {4},
        pages = {904-910},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=208196},
        abstract = {Content delivery networks (CDNs) distribute requests across edge servers to reduce origin load and support responsive content access. This paper describes the Improvised Content Load Balancing System (ICLBS), a local request-redistribution approach that uses neighboring server load information. It reviews static, adaptive, and learning-based scheduling strategies and examines the reported local-distribution scenarios at 0.5 s and 1 s, together with a 1 s flash-crowd scenario. The recorded ICLBS redirection percentages are 0%, 0%, and 30%, respectively. Existing comparison values are tabulated and plotted separately by metric for transparency. Because the arrival and service metrics have inconsistent rate/time labels, the results support descriptive observations but do not establish latency, throughput, or statistical superiority. Recent research from 2025 and 2026 motivates cache-aware routing, adaptive control, and explicit measurement of coordination overhead. The paper identifies the additional implementation and experimental details needed for reproducible evaluation.},
        keywords = {Content delivery network, load balancing, request redirection, edge caching, flash crowd, distributed scheduling.},
        month = {September},
        }