Quantitative Evaluation of Systems

18th International Conference, QEST 2021, Paris, France, August 23–27, 2021, Proceedings

AvAlessandro Abate,Andrea Marin

Häftad, Engelska, 2021

Del 12846 i serien Lecture Notes in Computer Science

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Beskrivning

This book constitutes the proceedings of the 18th International Conference on Quantitative Evaluation Systems, QEST 2021, held in Paris, France, in August 2021.The 21 full papers and 2 short papers presented together with 2 keynote papers were carefully reviewed and selected from 47 submissions. The papers are organized in the following topics: probabilistic model checking; quantitative models and metamodels: analysis and validation; queueing systems; learning and verification; simulation; performance evaluation; abstractions and aggregations; and stochastic models.

Produktinformation

Utgivningsdatum:2021-08-12
Mått:155 x 235 x 27 mm
Vikt:733 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Computer Science
Antal sidor:469
Förlag:Springer Nature Switzerland AG
ISBN:9783030851712

Utforska kategorier

Systemvetenskap och AI inom Data och IT
Matematisk statistik inom Naturvetenskap och teknik
Artificiell intelligens inom Data och IT

Innehållsförteckning

Keynote Speaker.- Performance Evaluation: Model-Driven or Problem-Driven?.- Probabilistic Model Checking.- A Modest Approach to Dynamic Heuristic Search in Probabilistic Model Checking.- Tweaking the Odds in Probabilistic Timed Automata.- Quantifying Software Reliability via Model-Counting.- Quantitative Models and Metamodels: Analysis and Validation.- Compositional safe approximation of response time distribution of complex workflows.- Transient Analysis of Hierarchical Semi-Markov Process Models with Tool Support in Stateflow.- Evaluating the Effectiveness of Metamodels in Emulating Quantitative Models.- Queueing Systems.- Network Calculus for Bounding Delays in Feedforward Networks of FIFO Queueing Systems.- SEH: Size Estimate Hedging for Single-Server Queues.- An Approximate Bribe Queueing Model for Bid Advising in Cloud Spot Markets.- Learning and Verification.- DSMC Evaluation Stages: Fostering Robust and Safe Behavior in Deep Reinforcement Learning.- Active and sparse methods in smoothed model checking.- Safe Learning for Near-Optimal Scheduling.- Simulation.- Symbolic Simulation of Railway Timetables under Consideration of Stochastic Dependencies.- Simulation of n-dimensional second-order fluid models with different absorbing, reflecting and mixed barriers.- Performance Evaluation.- Queue Response Times with Server Speed Controlled by Measured Utilizations.- Service Demand Distribution Estimation for Microservices Using Markovian Arrival Processes.- Performance analysis of work stealing strategies in large scale multi-threaded computing.- Abstractions and Aggregations.- Stationary Distribution Approximations of Markovian Population Models using Aggregation.- Reasoning about Proportional Lumpability.- Lumpability for Uncertain Continuous-Time Markov Chains.- Stochastic Models.- Accurate Approximate Diagnosis of (Controllable) Stochastic Systems.- Optimizing reachability probabilities for a restricted class of Stochastic Hybrid Automata via Flowpipe-Construction.- Attack Trees vs. Fault Trees: two sides of the same coin from different currencies.