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@article{162735,
        author = {Shivam Arora and Dhruv Aswal },
        title = {Optimizing Data Center Efficiency: Algorithmic Approaches and Simulation Tools for Performance Enhancement },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {10},
        number = {10},
        pages = {898-906},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=162735},
        abstract = {The increasing demand for cloud computing services has raised concerns about its environmental impact due to high energy consumption. This project explores green computing strategies in cloud data centers to reduce environmental impact while maintaining quality of service. It begins with a comprehensive literature review, focusing on power consumption patterns, hardware performance, virtualization, and workload optimization. The study evaluates energy-efficient technologies, including dynamic resource allocation, power management policies, energy-aware load-balancing Green Algorithms, and advanced cooling. Through simulations and case studies, it measures their impact on energy reduction and operational costs. The study addresses challenges and trade-offs, offering recommendations for sustainable cloud solutions in various scenarios. The results contribute to the field of green cloud computing, promoting an eco-friendly approach to meet computing demands while upholding service standards. we investigate the optimization of data center efficiency through advanced algorithms, leveraging state-of-the-art simulation tools such as OpenDC to analyze and enhance performance metrics."},
        keywords = {Green Cloud Computing, Data Centers, Energy Efficiency, Sustainability},
        month = {},
        }