Abstract The need for high availability (HA) and disaster recovery (DR) in IT environment is more stringent than most of the other sectors of enterprises. Many businesses require the availability of business-critical applications 24 hours a day, seven days a week, and can afford no data loss in the event of a disaster. It is vital that the IT infrastructure is resilient with regard to disruptio...

This thesis investigates the efficient analysis, especially the model checking, of bounded stochastic Petri nets (SPNs) which can be augmented with reward structures. An SPN induces a continuous-time Markov chain (CTMC). A reward structure associates a reward to each state of the CTMC and defines a Markov reward model (MRM). The Continuous Stochastic Reward Logic (CSRL) permits to define sophis...

We present Hybrid Stochastic Petri Nets (HSPNs) as a revision and extension of the Fluid Stochastic Petri Nets (FSPNs). HSPNs can be used for modeling dynamic systems that comprise both discrete and continuous quantities. Discrete state changes are assumed to be Markovian and continuous variables are assumed to be deterministic. HSPNs are designed to improve the clarity and consistency of the g...

Continuous Stochastic Logic (CSL) which lets to express real-time probabilistic properties on Continuous-Time Markov Chains (CTMC) has been augmented by reward structures to check also performability measures. Thus Continuous Stochastic Reward Logic (CSRL) defined on Markov Reward Models (MRM) provides a framework to verify performancerelated and as well as dependability-related measures. Proba...

We study the verification of a finite continuous-time Markov chain (CTMC) C against a linear real-time specification given as a deterministic timed automaton (DTA) A with finite or Muller acceptance conditions. The central question that we address is: what is the probability of the set of paths of C that are accepted by A, i.e., the likelihood that C satisfies A? It is shown that under finite a...

Web services providers often commit service-level agreements (SLAs) with their customers for guaranteeing the quality of the services. These SLAs are related not just to functional attributes of the services but to performance and reliability attributes as well. When combining several services into a composite service, it is non-trivial to determine, prior to service deployment, performance and...

In stochastic fluid models the drift at which the fluid level changes in the fluid buffer and the generator of the underlying process might depend on the discrete state of the system and on the fluid level itself. In this paper we analyze the stationary behaviour of finite buffer Markov fluid models in which the drift and the generator of the underlying continuous time Markov chain (CTMC) depen...

PEPA and its semantics have recently been extended to model biological systems. In order to cope with massive quantities of processes (as is usually the case when considering biological reactions) the model is interpreted in terms of a small set of coupled ordinary differential equations (ODEs) instead of a large state space continuous time Markov chain (CTMC). So far the relationship between t...

Abstract With the development of railway construction in China, computing demand train control system is increasing day by day. The application cloud technology on rail transit signal has become a research hotspot recent years. How to improve safety and availability computer platform environment key problem when applying operation system. Since an open network environment, facing many security ...

We consider a clustered wireless sensor network (WSN) under epidemic-malware propagation conditions and solve the problem of how to evaluate its reliability so as to ensure efficient, continuous, and dependable transmission of sensed data from sensor nodes to the sink. Facing the contradiction between malware intention and continuous-time Markov chain (CTMC) randomness, we introduce a strategic...