In this thesis, I show how network storage servers can infer useful information about the requests they are likely to see in the future by analyzing the history of requests they have observed in the past. I also show that this information can be used to improve future decisions about disk block allocation and read-ahead and thereby increase network storage server performance without any change to its clients or the applications running on its clients.

The use of Non-Distributed Operating Systems is very common and old. Many researchers feel that this field of research is outmoded, and therefore put their efforts into Distributed Operating Systems. Advanced Operating Systems courses generally include an overview of the topical issues of research in the Operating System field. Many instructors prefer using Distributed Operating Systems subjects in order to give their students the contemporary research atmosphere. This encourages graduate students to research Distributed Operating Systems topics. We suggest that Non-Distributed Operating Systems is still an important field worthy of being expanded in graduate courses. An example for such a course is given. This course has been successfully taught in Bar-Ilan University during 2004. 1.