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@article{169938,
        author = {Archika Jain and Pankaj Dadheech},
        title = {Exploring Load Balancing in Cloud Computing},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {6},
        pages = {3165-3169},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=169938},
        abstract = {The efficiency and performance of computer resources are hampered by the load unbalancing problem, a complicated one with many variables and limitations. Unwanted circumstances like overloading and under loading are frequently caused by this imbalance and are lessened by load balancing solutions. To the best of our knowledge, there isn't a thorough, organized, and hierarchical taxonomy of the load balancing solutions that are now in use, which diminishes their significance. Furthermore, the root causes of load unbalancing are not sufficiently examined or addressed in the literature currently in publication. This paper addresses important issues to direct the creation of future load balancing algorithms that are more successful while highlighting the benefits and drawbacks of current strategies. It also offers fresh perspectives on load balancing in cloud computing settings.},
        keywords = {Load balancing, Cloud computing, Static, Dynamic.},
        month = {November},
        }