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Research Article | Open Access |

A Novel Framework for Enhancing QoS of Big Data

Author 1: Dar Masroof Amin Author 2: Munishwar Rai
International Journal of Advanced Computer Science and Applications (IJACSA) · Vol. 11, No. 4 · Published 2020

DOI: https://doi.org/10.14569/IJACSA.2020.0110447

Abstract

The dire increase in number of devices connected to the internet is making inherent growth in creation of data. The use of data science in research is creating opportunities for better business analytics and generation of future trends. The data is growing with ever increasing rate and the exponential growth of data is creating opportunities for utilizing the same in process of analysis. The techniques and technology in place is not able to cater the needs of growing data on the Internet. The research work presented here provides a novel framework for improving the performance and management of big data clusters. The research proposed provides a detailed aspect how big data can be handled in the respective domains. The prime aim of this research is to formulate and implement an algorithm by testing with different data sets which can make the process of mining and handling big data easy in the organizations. The framework provides optimized results as compared to traditional systems.

Keywords

How to Cite this Article

Amin, D. M., & Rai, M. (2020). A Novel Framework for Enhancing QoS of Big Data. International Journal of Advanced Computer Science and Applications, 11(4). https://doi.org/10.14569/IJACSA.2020.0110447

Amin, Dar Masroof, and Munishwar Rai. "A Novel Framework for Enhancing QoS of Big Data." International Journal of Advanced Computer Science and Applications, vol. 11, no. 4, 2020, https://doi.org/10.14569/IJACSA.2020.0110447.

@article{Amin2020,
  title     = {A Novel Framework for Enhancing QoS of Big Data},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {11},
  number    = {4},
  year      = {2020},
  publisher = {The Science and Information Organization},
  author    = {Dar Masroof Amin and Munishwar Rai},
  doi       = {10.14569/IJACSA.2020.0110447},
  url       = {https://doi.org/10.14569/IJACSA.2020.0110447}
}

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