Model checking meets performance evaluation
ACM SIGMETRICS Performance Evaluation Review
A model-based semi-quantitative approach for evaluating security of enterprise networks
Proceedings of the 2008 ACM symposium on Applied computing
Using probabilistic model checking in systems biology
ACM SIGMETRICS Performance Evaluation Review
FORMATS '08 Proceedings of the 6th international conference on Formal Modeling and Analysis of Timed Systems
Performability assessment by model checking of Markov reward models
Formal Methods in System Design
The ins and outs of the probabilistic model checker MRMC
Performance Evaluation
HASL: an expressive language for statistical verification of stochastic models
Proceedings of the 5th International ICST Conference on Performance Evaluation Methodologies and Tools
Architecture-Driven reliability and energy optimization for complex embedded systems
QoSA'10 Proceedings of the 6th international conference on Quality of Software Architectures: research into Practice - Reality and Gaps
| Hi-index | 0.00 |
This paper considers model checking of Markov reward models (MRMs), continuous-time Markov chains with state rewards as well as impulse rewards. The reward extension of the logic CSL (Continuous Stochastic Logic) is interpreted over such MRMs, and two numerical algorithms are provided to check the reachability of a set of goal states under a time and an accumulated reward constraint. This extends existing model-checking techniques for MRMs with just state rewards, and improves the applicability to thousands of states. Our approach is illustrated by using rewards for energy consumption in the setting of dynamic power management.