Learned models of behavior have the disadvantage that they must be retrained after any change in system configuration. Autonomic management methods based upon learned models lose ...
In a recent paper, we presented proactive resilience as a new approach to proactive recovery, based on architectural hybridization. We showed that, with appropriate assumptions ab...
Paulo Sousa, Nuno Ferreira Neves, Paulo Verí...
The use of Application Specific Instruction-set Processors (ASIP) is a solution to the problem of increasing complexity in embedded systems design. One of the major challenges in...
Alessandro G. Di Nuovo, Maurizio Palesi, Davide Pa...
We propose a two-state Markov chain model of degraded document images. The model generates random and burst noise to simulate isolated pixel reversal as well as blurring of a larg...
As disk arrays become widely used, tools for understanding and analyzing their performance become increasingly important. In particular, performance models can be invaluable in bo...