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

Suyog Dixit; Dr. Pankaj Dashore

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

Suyog Dixit * §

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Dr. Pankaj Dashore

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§ Medi-Caps Institute of Technology & Management (Aff....

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

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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.

References

6 Cites in Article

Reference Format

Gluster (2011). Cloud Storage for the Modern Data Center.
F Ancona,A Colla,S Rovetta,R Zunino,E (1998). Implementing probabilistic neural networks The PNN model.
Shiguo Lian,Jinsheng Sun,Zhiquan Wang (2007). Secure hash function based on neural network.
G Dahl,T Mcavinney,Newhall (2008). Parallelizing neural network training for cluster systems.
(2015). Kernel Density Estimator -File Exchange -MATLAB Central.
J Julian DHT misses are expensive.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Suyog Dixit, Dr. Pankaj Dashore. 2015. "Neural GDFS: Neural Network Guided DFS for Progressive Cluster Performance on Large Data Set". Global Journal of Computer Science and Technology - H: Information & Technology GJCST-H Volume 15 (GJCST Volume 15 Issue H1).

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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

Keywords

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Classification

GJCST-H Classification C.2.4

C.2.5

Submission ReceivedDecember 14, 2014
Peer Review Double Blind
Handling Editor
Accepted January 1, 2015
Published January 15, 2015

Version of record

v1.2

Issue date

June 23, 2015

Language

English

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Article Matrices

Total Score: 147

Country: India

Subject: Global Journal of Computer Science and Technology

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

View Count (all-time): 376

Total Views (Real + Logic): 3243

Total Downloads (simulated): 218

Publish Date: 2015 01, Thu

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Total Views: 3.2K

Total Downloads: 218

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