Title
Increasing predictive accuracy by prefetching multiple program and user specific files
Abstract
Recent increases in CPU performance have outpaced increases in hard drive performance. As a result, disk operations have become more expensive in terms of CPU cycles spent waiting for disk operations to complete. File prediction can mitigate this problem by prefetching files into cache before they are accessed However, incorrect prediction is to a certain degree both unavoidable and costly. We present the Program-based and User-based Last n Successors (PULnS) file prediction model that identifies relationships between files through the names of the programs and the users accessing them. Our simulation results show that, in the worst case, PULnS makes at least 20% fewer incorrect predictions and roughly the same number of correct predictions as the last-successor model.
Year
DOI
Venue
2002
10.1109/HPCSA.2002.1019129
HPCS
Keywords
Field
DocType
prefetching,user specific files,prefetching multiple program,cpu performance,storage management,file prediction model,file prefetching,hard drive performance,predictive accuracy,pulns,performance evaluation,predictive models,cache memory,bandwidth,system performance,operating systems,prediction model,computer science,accuracy
Computer performance,Cache,CPU cache,Computer science,Parallel computing,Bandwidth (signal processing),Storage management,Operating system,Instruction cycle
Conference
ISBN
Citations 
PageRank 
0-7695-1626-2
5
0.63
References 
Authors
18
3
Name
Order
Citations
PageRank
Tsozen Yeh1277.45
Darrell D. E. Long23111536.40
Scott A. Brandt3166394.81