Data Reduction Using LZW Algorithm in FOG Computing

Authors(2) :-Veena. R, Jyothsna. R

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.

Authors and Affiliations

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

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

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Publication Details

Published in : Volume 4 | Issue 7 | September-October 2019
Date of Publication : 2019-10-12
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 118-120
Manuscript Number : CSEIT194721
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Veena. R, Jyothsna. R, "Data Reduction Using LZW Algorithm in FOG Computing", International 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. |          | BibTeX | RIS | CSV

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