This site uses cookies to deliver our services and to ensure you get the best experience. By continuing to use this site, you consent to our use of cookies and acknowledge that you have read and understand our Privacy Policy, Cookie Policy, and Terms
This paper provides an experimental study of the efficiency of simulation-based model-checking algorithms for continuous-time Markov chains by comparing: MRMC – the only tool t...
We extend the theory of labeled Markov processes with internal nondeterminism, a fundamental concept for the further development of a process theory with abstraction on nondetermi...
Abstract—ITPN-PerfBound is a graphical tool for the modeling and performance bound analysis of Interval Time Petri Nets (ITPN), that has been developed within the DrawNET modelin...
—Failure mode and effects analysis (FMEA) is a technique to reason about possible system hazards that result from system or system component failures. Traditionally, FMEA does no...
Husain Aljazzar, Manuel Fischer, Lars Grunske, Mat...
—Disk drives are a common performance bottleneck in modern storage systems. To alleviate this, disk manufacturers employ a variety of I/O request scheduling strategies which aim ...
Abigail S. Lebrecht, Nicholas J. Dingle, William J...
—Gossip protocols are designed to operate in very large, decentralised networks. A node in such a network bases its decision to interact (gossip) with another node on its partial...
Rena Bakhshi, Lucia Cloth, Wan Fokkink, Boudewijn ...
The Markov Reward Model Checker (MRMC) is a software tool for verifying properties over probabilistic models. It supports PCTL and CSL model checking, and their reward extensions....
Joost-Pieter Katoen, Ivan S. Zapreev, Ernst Moritz...