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@article{154577,
        author = {Sasidhar K and Dr Rajesh Kulkarni},
        title = {Study of big data frame work with various issues and challenges involving in data transfer},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {8},
        number = {11},
        pages = {633-641},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=154577},
        abstract = {The Hadoop work scheduler can be arranged concerning the accompanying viewpoints: climate, need, asset mindfulness, (for example, CPU time, free opening, circle space, I/O use), time, and systems. The primary thought behind planning is to limit upward, assets, and consummation time, and to amplify throughput by designating position to the processor. Here, the order of schedulers is done in light of the planning techniques, time, and assets.},
        keywords = {Big Data, Map Reduce, Hadoop.},
        month = {},
        }