Neural GDFS: Neural Network Guided DFS for Progressive Cluster Performance on Large Data Set

Neural GDFS: Neural Network Guided DFS for Progressive Cluster Performance on Large Data Set

Article ID

CSTIT8AKM7

Neural GDFS: Neural Network Guided DFS for Progressive Cluster Performance on Large Data Set

Suyog Dixit

Dr. Pankaj Dashore

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Abstract

GlusterFS is the most advanced Distributed File System. GlusterFS uses Devis Meyer’s Hashing algorithm as a one way hashing function to save file across the cluster network. Based on GlusterFS, we introduce a new kind of DFS known as NeuralGDFS. NeuralGDFS will incorporate the probabilistic neural network to identify the most probable Brick in which requested file might be located. We also studied GlusterFS performance in virtual cloud environment.

Neural GDFS: Neural Network Guided DFS for Progressive Cluster Performance on Large Data Set

Authors

Suyog Dixit

Dr. Pankaj Dashore

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References

How to Cite

Suyog Dixit. 2015. “. Global Journal of Computer Science and Technology – H: Information & Technology GJCST-H Volume 15 (GJCST Volume 15 Issue H1): .

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

GJCST Volume 15 Issue H1
Pg. 7- 12

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Classification

GJCST-H Classification: C.2.4 , C.2.5

Submission Received December 14, 2014
Accepted January 1, 2015
Published January 15, 2015

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Article Matrices

Total Score: 107

Country: India

Subject: Global Journal of Computer Science and Technology - H: Information & Technology

Authors: Suyog Dixit, Dr. Pankaj Dashore (PhD/Dr. count: 1)

View Count (all-time): 208

Total Views (Real + Logic): 8153

Total Downloads (simulated): 2175

Publish Date: 2015 06, Tue

Monthly Totals (Real + Logic):

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Total Views: 8153

Total Downloads: 2175

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