Quantitative evaluation of systems : 18th International Conference, QEST 2021, Paris, France, August 23–27, 2021, proceedings
著者
書誌事項
Quantitative evaluation of systems : 18th International Conference, QEST 2021, Paris, France, August 23–27, 2021, proceedings
（Lecture notes in computer science, 12846 . LNCS sublibrary ; SL 1 . Theoretical computer science and general issues）
Springer, c2021
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注記
Includes bibliographical references and author index
"QEST 2021 was hosted within QONFEST 2021, and held virtually during August 23-27, 2021."--Pref
内容説明・目次
内容説明
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.
目次
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.
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