Enhancing the Traditional File System to HDFS: A Big Data Solution

  • Saraswat H
  • Sharma N
  • Rai A
N/ACitations
Citations of this article
5Readers
Mendeley users who have this article in their library.

Abstract

We are in the twenty-first centuries also known as the digital era, where each and every thing generates a data whether it's a mobile phone, signals, day to day purchasing and many more. This rapidly increases in amount of data; Big data has become a current and future frontier for researchers. In big data analysis, the computation is done on massive heap of data sets to extract intelligent, knowledgeable and meaningful data and at the same time the storage is also readily available to support the concurrent computation process. The Hadoop is designed to meet these complex but meaningful work. The HDFS (Hadoop Distributed File System) is highly fault-safe and is designed to be deployed on low cost hardware. This paper gives out the benefits of HDFS given to the large data set; HDFS architecture and its role in Hadoop.

Cite

CITATION STYLE

APA

Saraswat, H., Sharma, N., & Rai, A. (2017). Enhancing the Traditional File System to HDFS: A Big Data Solution. International Journal of Computer Applications, 167(9), 12–14. https://doi.org/10.5120/ijca2017914367

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free