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DOI: 10.14569/IJACSA.2020.0110447
PDF

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), Volume 11 Issue 4, 2020.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

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: IoT (internet of things); big data; DSDSS (Domain Specific Data Distribution Algorithm); AI (Artificial Intelligence); ML (Machine Learning)

Dar Masroof Amin and Munishwar Rai, “A Novel Framework for Enhancing QoS of Big Data” International Journal of Advanced Computer Science and Applications(IJACSA), 11(4), 2020. http://dx.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},
doi = {10.14569/IJACSA.2020.0110447},
url = {http://dx.doi.org/10.14569/IJACSA.2020.0110447},
year = {2020},
publisher = {The Science and Information Organization},
volume = {11},
number = {4},
author = {Dar Masroof Amin and Munishwar Rai}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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