Bharath Siva Kumar Tati

1paper

1 Paper

SYAug 2, 2016
Rate Reduction for State-labelled Markov Chains with Upper Time-bounded CSL Requirements

Bharath Siva Kumar Tati, Markus Siegle

This paper presents algorithms for identifying and reducing a dedicated set of controllable transition rates of a state-labelled continuous-time Markov chain model. The purpose of the reduction is to make states to satisfy a given requirement, specified as a CSL upper time-bounded Until formula. We distinguish two different cases, depending on the type of probability bound. A natural partitioning of the state space allows us to develop possible solutions, leading to simple algorithms for both cases.