This document discusses using Hidden Markov Model (HMM) forward chaining techniques for prefetching in distributed file systems (DFS) for cloud computing. It begins by introducing DFS for cloud storage and issues like load balancing. It then discusses using HMM to analyze client I/O and predict future requests to prefetch relevant data. The HMM forward algorithm would be used to prefetch data from storage servers to clients proactively. This could improve performance by reducing client wait times for requested data in DFS for cloud applications.