TY  - JOUR
TI  - Data Reduction Using LZW Algorithm in FOG Computing
AU  - Veena. R
AU  -  Jyothsna. R
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2019/10/12
PY  - 2019
DO  - https://doi.org/10.32628/IJSRCSEIT
UR  - https://ijsrcseit.com/CSEIT194721
VL  - 4
IS  - 7
SP  - 118	
EP  - 120
AB  - 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.