The QoS in Big Data

Authors

  • Masroof Amin Department of Computer Technology and Business Management, Maharishi Markandeshwar Deemed to be University, Mullana, Ambala, 133207, Haryana, India.
  • Munishwar Rai Department of Computer Technology and Business Management, Maharishi Markandeshwar Deemed to be University, Mullana, Ambala, 133207, Haryana, India.

DOI:

https://doi.org/10.9734/bpi/costr/v2/3513B

Keywords:

Exponential growth, Big Data, algorithms, bottleneck situations

Abstract

The data on the Internet is growing tremendously and this exponential growth is it self-becoming a challenge to access, process and display the proper information. As the information is growing so does, the technology and the algorithms to access the data is also growing. The rate at which information is growing on the Internet is far greater than the development of new algorithms that are accessing this data. As currently, growing data is of heterogeneous type which means it contains amalgam of text, audio, video, graphics which is creating a restricted access with reference to the technology in vogue. This large quantity of heterogeneous data is generally known as Big Data.

Published

2022-08-08

How to Cite

Masroof Amin, & Munishwar Rai. (2022). The QoS in Big Data. Current Overview on Science and Technology Research Vol. 2, 94–112. https://doi.org/10.9734/bpi/costr/v2/3513B