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.

References

  1. “Md. Rubaiyat Hasan”, “Data Compression using Huffman based LZW Encoding Technique”, IJSR, Nov 2011.
  2. “A. Alarabeyyat, S. Al-Hashemi, T. Khdou, M. Hjouj Bus, S. Bani-Ahmad, R. Al- Hashemi”, “Lossless Image Compression Technique Using Combination Methods”, IJSE , Mar.2012.
  3. “S. Renugadevi and P.S Nithya Darsini”, "Huffman and Lempel-Ziv Based Data Compression Algorithm for Wireless Sensor Networks", IEEE (PRIME) February 21-22 2013.
  4. “B. Nivedha, M. Priyadharshini, E. Thendral, T. Deenadayalan”, "Lossless Image Compression in Cloud Computing"2017 International Conference on Technical Advancements in Computers and Communications.
  5. “Weisong Shi, Fellow IEEE,Jie Cao,Student Member, IEEE, Quan Zhang Student Member, IEEE, Youhuizi Li, and Lanyu Xu “.”Edge Computing: Vision and Challenges” IEEE INTERNET OF THINGS JOURNAL, VOL. 3, NO. 5, OCTOBER 2016 637.
  6. “Hind Bangui 1,2,3,* , Said Rakrak 3 , Said Raghay 3 and Barbora Buhnova 1,2”.“Moving to the Edge-Cloud-of-Things: Recent Advances and Future Research Directions” Electronics 2018, 7, 309; doi:10.3390/electronics7110309.
  7. “Alireza Yazdanpanah and Mahmoud Reza Hashemi”, "A New Compression Ratio Prediction Algorithm for Hardware Implementation of LZW Data Compression ", IEEE Computer Society 2010.
  8. Ibrahim M. El-Hasnony , Hazem M. El Bakry and Ahmed A. Saleh,Comparative Study among Data Reduction Techniques over Classification Accuracy, International Journal of Computer Applications (0975 - 8887) Volume 122 - No.2, July 2015.
  9. "Simrandeep kaur and V.Sulochana Verma" , Design and Implementation of LZW Data Compression Algorithm, International Journal of Information Sciences and Techniques (IJIST) .
  10. "ADBULLAH A. , MAO ZHIGANG HUSSAIN", "Study on LZW algorithm for Embedded Instruction Memory", Proceedings of the 5th WSEAS Int. Conf. on Instrumentation, Measurement, Circuits and Systems, Hangzhou, China, April 16-18, 2006 (pp235-239).
  11. "Shyni K, Manoj Kumar KV","Lossless LZW Data Compression Algorithm on CUDA","IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278-0661, p- ISSN: 2278-8727Volume 13, Issue 1 (Jul. - Aug. 2013), PP 122-127."

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

Downloads

Published

2019-10-12

Issue

Volume 4, Issue 7, September-October-2019

Section

Research Articles

License

Copyright (c) IJSRCSEIT

Creative Commons License

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" 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.