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Paper ID: 2804

Accelerating Linux/Windows File Systems by Predicting Access Frequency
Frank,Wang C,Liao N,Helian Chris,Thompson S,Wu Y,Deng V,Khare A,Parker

Appeared in: Proceedings of the UK e-Science All Hands Conference 2007 website: http://www.allhands.org.uk/2007/
Page Numbers:
Publisher: National e-Science Centre
Year: 2007
ISBN/ISSN: 978-0-9553988-3-4
Contributing Organisation(s):
Field of Science: e-Science

URL: http://www.allhands.org.uk/2007/proceedings/papers/810.pdf

Abstract: Network File System (NFS, de facto in Linux) or Common Internet File System (CIFS, de facto in Windows) is used for applications to move files across networks/grids. We prove that once a file is created with a set of attributes, such as name, type, permission mode, owner and owner group, its future access frequency is predictable. A decision-tree-based predictive model is established with an integrated fuzzy logic facility to further calculate the degree to which a file may be frequently accessed. By consulting with the rules generated from the predictive model over diverse real-system NFS traces, it can predict a newly created file’s future access frequency with a sufficient accuracy (greater than 90%).

Keywords: e-Science, AHM 2007


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