Titlebook: Quantitative Evaluation of Systems; 20th International C Nils Jansen,Mirco Tribastone Conference proceedings 2023 The Editor(s) (if applica

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,Analysis of an Epoch Commit Protocol for Distributed Processing Systems, system involving two queues served alternatively with preemptions is analysed in the steady-state under Markovian assumptions. An exact and easily implementable solution is derived and is used in order to determine performance measures such as average occupancy or average latency. The optimal lengt

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Causal Reversibility Implies Time Reversibility, all of its consequences have been undone already, thereby making it possible to bring a system back to a past consistent state. On the other hand, time reversibility stipulates that the stochastic behavior of a system remains the same when the direction of time is reversed, which supports efficient

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,A Bounded Model Checking Technique for Discrete-Time Nonlinear Systems,inear systems. We apply the proposed technique to controller synthesis problems: determining a design for a simple nonlinear control system, and finding an appropriate dosage to prescribe for drug administration.

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,Modeling Uncertain Biomass Composition in Genome-Scale Metabolic Models with Flexible Nets,ch can lead to poor predictions. In order to model uncertain biomass composition, a particular class of Flexible Nets (FNs), called ENDI, is proposed. The impact of uncertain biomass composition on the growth rate of the organism can be assessed straightforwardly by a linear programming problem.

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,Analysis of an Epoch Commit Protocol for Distributed Processing Systems,h of the operative interval is evaluated numerically. A non-preemptive policy is simulated and is shown to be considerably less efficient than the preemptive one analysed here. A generalization to non-Markovian operative intervals is outlined.

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,STAMINA in C++: Modernizing an Infinite-State Probabilistic Model Checker, improvements are demonstrated on multiple challenging benchmark examples, including hazard analysis of infinite-state combinational genetic circuits, over the previous . implementation. Additionally, its design allows for future customizations and optimizations to the . algorithm.

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