© 2015. Suyog Dixit & Dr. Pankaj Dashore. This is a research/review paper, distributed under the terms of the Creative Commons Attribution-Noncommercial 3.0 Unported License http://creativecommons.org/licenses/by-nc/3.0/), permitting all non-commercial use, distribution, and reproduction inany medium, provided the original work is properly cited. Global Journal of Computer Science and Technology: H Information & Technology Volume 15 Issue 1 Version 1.0 Year 2015 Type: Double Blind Peer Reviewed International Research Journal Publisher: Global Journals Inc. (USA) Online ISSN: 0975-4172 & Print ISSN: 0975-4350 NeuralGDFS: Neural Network Guided DFS for Progressive Cluster Performance on Large Data Set By Suyog Dixit & Dr. Pankaj Dashore Medi-Caps Institute of Technology & Management, India 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. GJCST-H Classification: C.2.4, C.2.5 NeuralGDFSNeuralNetworkGuidedDFSforProgressiveClusterPerformanceonLargeDataSet Strictly as per the compliance and regulations of: