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Quantitative Evaluation of Systems : 18th International Conference, QEST 2021, Paris, France, August 23-27, 2021, Proceedings / edited by Alessandro Abate, Andrea Marin.
- Format:
- Book
- Series:
- Computer Science (SpringerNature-11645)
- LNCS sublibrary. Theoretical computer science and general issues 2512-2029 ; SL 1, 12846
- Theoretical Computer Science and General Issues, 2512-2029 ; 12846
- Language:
- English
- Subjects (All):
- Computer science.
- Computer science-Mathematics.
- Mathematical statistics.
- Artificial intelligence.
- Software engineering.
- Algorithms.
- Machine theory.
- Theory of Computation.
- Probability and Statistics in Computer Science.
- Artificial Intelligence.
- Software Engineering.
- Formal Languages and Automata Theory.
- Local Subjects:
- Theory of Computation.
- Probability and Statistics in Computer Science.
- Artificial Intelligence.
- Software Engineering.
- Algorithms.
- Formal Languages and Automata Theory.
- Physical Description:
- 1 online resource (XV, 469 pages) : 127 illustrations, 75 illustrations in color.
- Edition:
- 1st ed. 2021.
- Contained In:
- Springer Nature eBook
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Springer, 2021.
- System Details:
- text file PDF
- Summary:
- 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.
- Contents:
- 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.
- Other Format:
- Printed edition:
- ISBN:
- 978-3-030-85172-9
- 9783030851729
- Access Restriction:
- Restricted for use by site license.
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