A knowledge-based operating system
The Computer Journal
Long term file migration: development and evaluation of algorithms
Communications of the ACM
An intelligent remote file server (network, unix, marsupial)
An intelligent remote file server (network, unix, marsupial)
Locality of Reference in Hierarchical Database Systems
IEEE Transactions on Software Engineering
Analysis of Long Term File Reference Patterns for Application to File Migration Algorithms
IEEE Transactions on Software Engineering
| Hi-index | 0.00 |
In this paper, we demonstrate how significantly domain-dependent predictors contribute to determining file importance. A predictor is a piece of information associated with the file under consideration collected and used to determine file importance. Using the approach described in Rawlings (1988), domain-dependent predictors seem to contribute more significantly than those domain-independent predictors. This has been manifested by the observation that those predictors dominant in the canonical models (e.g. linear weighting model) may no longer be so once the domain-dependent predictors are included in the models. The observation suggests that the domain-dependent approach may be more favorably adopted by the subjects in this study than the canonical approach in determining file importance.