Predicting knowledge in an ontology stream
Freddy Lécué, Jeff Z. Pan
IJCAI 2013
The topic of this paper is a probabilistic analysis of demand paging algorithms for storage hierarchies. Two aspects of algorithm performance are studied under the assumption that the sequence of page requests is statistically independent: the page fault probability for a fixed memory size and the variation of performance with memory. Performance bounds are obtained which are independent of the page request probabilities. It is shown that simple algorithms exist which yield fault probabilities close to optimal with only a modest increase in memory. © 1974, ACM. All rights reserved.
Freddy Lécué, Jeff Z. Pan
IJCAI 2013
Guojing Cong, David A. Bader
Journal of Parallel and Distributed Computing
Barry K. Rosen
SWAT 1972
Masami Akamine, Jitendra Ajmera
IEICE Trans Inf Syst