Improving Efficiency of Map Reduce Paradigm with ANFIS for Big Data
Author(s):
Gor Vatsal H. , NarNarayan Shashtri Institute of Technology Jetalpur , Ahmedabad , India; Prof. Vatika Tayal, NarNarayan Shashtri Institute of Technology Jetalpur , Ahmedabad , India
Keywords:
Big Data, fuzzy Neural Network, ANFIS, Map Reduce, Hadoop
Abstract:
As all we know that map reduce paradigm is became synonyms for computing big data problems like processing, generating and/or deducing large scale of data sets. Hadoop is a well know framework for these types of problems. The problems for solving big data related problems are varies from their size , their nature either they are repetitive or not etc., so depending upon that various solutions or way have been suggested for different types of situations and problems. Here a hybrid approach is used which combines map reduce paradigm with anfis which is aimed to boost up such problems which are likely to repeat whole map reduce process multiple times.
Other Details:
| Manuscript Id | : | IJSTEV1I12055
|
| Published in | : | Volume : 1, Issue : 12
|
| Publication Date | : | 01/07/2015
|
| Page(s) | : | 72-75
|
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