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@article{177200,
        author = {Foram Patel and Dr. Mohit Bhadla},
        title = {Load Balancing Technique using Virtualization with WRR Algorithm in Cloud Computing},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {579-586},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=177200},
        abstract = {Cloud Computing still grapples with enormous challenges in efficiently managing resource allocation, with load balancing being a core issue affecting system performance, Quality of Service (QoS), and compliance with Service Level Agreements (SLAs). This study advances an innovative load balancing scheme that incorporates virtualization and dynamic task migration for efficient utilization of resources in cloud computing environments. Through the use of virtualization, the model dynamically generates and maintains virtual machine (VM) copies in order to avoid node overload and reduce execution latency. The designed methodology applies a Weighted Round Robin (WRR) technique for task allocation according to server capacities, which guarantees efficient and equitable load distribution. CloudSim simulation results reveal that the model registers significant enhancements in system response time, resource utilization, and operating cost savings. By strategically creating and destroying VM replicas according to individual module requirements, the framework promotes scalability, minimizes storage overhead, and provides guaranteed service availability at all times, providing a realistic and space-saving solution to the challenges of contemporary cloud infrastructures.},
        keywords = {Cloud computing, Load Balancing Algorithm, Virtualization, Virtual Machine, Weighted Round Robin, WRR.},
        month = {May},
        }