Описание: Includes the refereed proceedings of the 15th International GI/ITG Conference on `Measurement, Modelling and Evaluation of Computing Systems` and `Dependability and Fault Tolerance`, held in Essen, Germany, in March 2010.
DDoS 3.0 - How terrorists bring down the Internet.- SGsim: Co-Simulation Framework for ICT-Enabled Power Distribution Grids.- Improving Cross-Traffic Bounds in Feed-Forward Networks -- There is a Job for Everyone.- Stochastic analysis of energy consumption in pool depletion systems.- Moving queue on a network.- A Multi-commodity Simulation Tool Based on TRIANA.- Performance and Precision of Web Caching Simulations for Zipf Request Pattern.- PSTeC: A Location-time Driven Modelling Formalism for Probabilistic Real-time Systems.- Analysis of Hierarchical Semi-Markov Processes with Parallel Regions.- Combining Mobility Models with Arrival Processes.- Product Line Fault Tree Analysis by Means of Multi-valued Decision Diagrams.- Resolving Contention for Networks-on-Chips: Combining Time-triggered Application Scheduling with Dynamic Budgeting of Memory Bus Use.- The Weak Convergence of TCP Bandwidth Sharing.- Analysis of Mitigation Measures for Timing Attacks in Mobile Offloading Systems.- Capabilities of Raspberry Pi 2 for Big Data and Video Streaming Applications in Data Centres.- Ensemble-Based Uncertainty Quantification for Smart Grid Co-Simulation.
Автор: Bradley Efron and Trevor Hastie Название: Computer Age Statistical Inference ISBN: 1107149894 ISBN-13(EAN): 9781107149892 Издательство: Cambridge Academ Рейтинг: Цена: 9029.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The twenty-first century has seen a breathtaking expansion of statistical methodology, both in scope and in influence. 'Big data', 'data science', and 'machine learning' have become familiar terms in the news, as statistical methods are brought to bear upon the enormous data sets of modern science and commerce. How did we get here? And where are we going? This book takes us on an exhilarating journey through the revolution in data analysis following the introduction of electronic computation in the 1950s. Beginning with classical inferential theories - Bayesian, frequentist, Fisherian - individual chapters take up a series of influential topics: survival analysis, logistic regression, empirical Bayes, the jackknife and bootstrap, random forests, neural networks, Markov chain Monte Carlo, inference after model selection, and dozens more. The distinctly modern approach integrates methodology and algorithms with statistical inference. The book ends with speculation on the future direction of statistics and data science.
Автор: Katinka Wolter; Alberto Avritzer; Marco Vieira; Aa Название: Resilience Assessment and Evaluation of Computing Systems ISBN: 3642436749 ISBN-13(EAN): 9783642436741 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book explores resilience assessment of computer systems, offering modeling techniques, model-driven prediction, measurement and metrics, testing, case studies and more. Includes modeling, benchmarking, testing, performance evaluation and dependability.
Автор: Boudewijn R. Haverkort; Henrik C. Bohnenkamp; Conn Название: Computer Performance Evaluation. Modelling Techniques and Tools ISBN: 3540672605 ISBN-13(EAN): 9783540672609 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This title presented 21 papers organized in topical sections on queueing network models, optimization in mobile networks, stochastic Petri nets, simulation, formal methods and performance evaluation, and measurement tools and applications.
Автор: Da Ruan; Mario Fedrizzi Название: Soft Computing for Risk Evaluation and Management ISBN: 3662003481 ISBN-13(EAN): 9783662003480 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The primary goal of this book is the specification, design and testing of an inertially stabilized camera platform for assistance systems with the focus on adaptive inertial measurement.
Описание: This book presents the basics of the Laser Assisted Oxygen (LASOX) cutting process, its development, advantages and shortcomings, together with detailed information on the research work carried out to date regarding the modelling and optimization of the process. It introduces two integrated soft computing-based models consisting of Artificial Neural Networks (ANN-GA and ANN SA) for the modelling and optimization of LASOX cutting. It also includes an in-depth discussion on the basic working algorithms of soft computing tools such as Artificial Neural Networks, Genetic Algorithms, Simulated Annealing etc. The book not only provides an approach to optimizing LASOX by means of soft computing-based integrated models, but also illustrates the practical implementation of the proposed models.
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