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@article{142842,
        author = {SMRUTI PHADKE and K.K. Joshi },
        title = {Survey of Energy-Efficient  Load-Balancing Scheduling Algorithms in Data Center},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {2},
        number = {7},
        pages = {160-167},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=142842},
        abstract = {Nowadays, in order to save operational costs, IT companies are getting their data intensive jobs serviced by a third party platform, i.e. a cloud computing data center. These data centers house huge amounts of equipment to service these jobs, resulting in increased energy consumption. More energy consumption results in an increase in the heat generated by these data centers. In order to minimize these problems, several energy-efficient and power-aware resource allocation algorithms, also known as Green Schedulers, have been devised. This paper surveys some of the most significant Green Schedulers, explores their approaches and analyses their performance. This paper also concludes which Green Scheduler is best suited for different cloud computing data center architectures.},
        keywords = {Data center, Energy-efficient, Green Cloud, Load-balancing, Power-aware, Resource-allocation },
        month = {},
        }