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Quantitative Evaluation of Systems de Alessandro Abate

Quantitative Evaluation of Systems: Lecture Notes in Computer Science, cartea 12846

Editat de Alessandro Abate, Andrea Marin
en Limba Engleză Paperback – 12 aug 2021
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.
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Specificații

ISBN-13: 9783030851712
ISBN-10: 3030851710
Pagini: 488
Ilustrații: XV, 469 p. 127 illus., 75 illus. in color.
Dimensiuni: 155 x 235 x 27 mm
Greutate: 0.73 kg
Ediția:1st edition 2021
Editura: Springer
Colecția Lecture Notes in Computer Science
Seria Lecture Notes in Computer Science

Locul publicării:Cham, Switzerland

Cuprins

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.