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@article{189991,
        author = {Kapil Tarey},
        title = {Fuzzy Inference–Based Scheduling Framework for Optimized Cloud Resource Utilization},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {8},
        pages = {2539-2546},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=189991},
        abstract = {The increasing demand for cloud computing resources has created a need for efficient resource allocation strategies to manage available resources effectively. The proposed approach utilizes fuzzy logic control to prioritize the allocation of resources based on the specific requirements of each task or application. The system considers various factors, such as task priority, resource availability, and workload balance, to determine the optimal allocation of resources. The experimental results demonstrate that the fuzzy logic control approach can effectively improve the efficiency of resource allocation in cloud infrastructures, leading to improved system performance and reduced resource waste. This research paper provides valuable insights into the practical implementation of fuzzy logic control in cloud infrastructures and its potential to enhance resource allocation strategies.},
        keywords = {Cloud infrastructure, Fuzzy logic, Performance Enhancement, Resources, VMs, Member function.},
        month = {January},
        }