The major concerns in state-of-the-art model reduction algorithms are: achieving accurate models of sufficiently small size, numerically stable and efficient generation of the mod...
Joel R. Phillips, Luca Daniel, Luis Miguel Silveir...
Analytical and simulative modeling for dependability and performance evaluation has been proven to be a useful and versatile approach in all the phases of the system life cycle. I...
Stefano Porcarelli, Felicita Di Giandomenico, Paol...
In this paper, we propose an effective automatic generation approach for a Cycle-Count Accurate Memory Model (CCAMM) from the Clocked Finite State Machine (CFSM) of the Cycle Accu...
We investigate dynamical models of human motion that can
support both synthesis and analysis tasks. Unlike coarser
discriminative models that work well when action classes are ...
A number of web cache-related algorithms, such as replacement and prefetching policies, rely on specific characteristics present in the sequence of requests for efficient performa...
Konstantinos Psounis, An Zhu, Balaji Prabhakar, Ra...