Accelerating Linux/Windows File Systems by Predicting Access Frequency

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%)