Data Reduction Using LZW Algorithm in FOG Computing

Authors

  • Veena. R  Associate Professor, Department of Computer Science, Seshadripuram College, Bangalore, Karnataka, India
  • Jyothsna. R  Department of Computer Science, Seshadripuram College, Bangalore, Karnataka, India

Keywords:

Lempel - Ziv - Welch , fog , compression , latency and transmission.

Abstract

Fog Computing is related to the computational architectures located in the network edge. Fog computing is beneficial since it deals with low latency, real-time analytics, improved security and use of wireless access. There is a need to improve the fog services for faster transmission of data , thereby implementation of data reduction techniques will be beneficial for faster transmission of data. In this paper there is a depiction of data compression algorithm called Lempel- Ziv -Welch. With the incorporation of this algorithm data can be compressed and thereby sufficient data can be passed faster in the fog computing network.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2019-10-12

Issue

Volume 4, Issue 7, September-October-2019

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Veena. R, Jyothsna. R, " Data Reduction Using LZW Algorithm in FOG Computing, IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 4, Issue 7, pp.118-120, September-October-2019.