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Buch, Englisch, Band 9629, 203 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 347 g
18th International GI/ITG Conference, MMB & DFT 2016, Münster, Germany, April 4-6, 2016, Proceedings
Buch, Englisch, Band 9629, 203 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 347 g
Reihe: Lecture Notes in Computer Science
ISBN: 978-3-319-31558-4
Verlag: Springer
This book constitutes the proceedings of the 18th International GI/ITG Conference on Measurement, Modelling and Evaluation of Computing Systems and Dependability and Fault Tolerance, MMB & DFT 2016, held in Münster, Germany, in April 2016.
The 12 full papers and 3 short papers included in this volume were carefully reviewed and selected from 23 submissions. The papers deal with the fields of performance evaluation, dependability, and fault-tolerance of computer and communication systems. A relatively new topic of smart grids is also covered.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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.




