Computer Performance Engineering: 16th European Workshop, EPEW 2019, Milan, Italy, November 28–29, 2019, Revised Selected Papers: Lecture Notes in Computer Science, cartea 12039
Editat de Marco Gribaudo, Mauro Iacono, Tuan Phung-Duc, Rostislav Razumchiken Limba Engleză Paperback – 19 mar 2020
The 10 papers presented in this volume together with one invited talk were carefully reviewed and selected from 13 submissions. The papers presented at the workshop reflect the diversity of modern performance engineering, with topics ranging from modeling and analysis of network/control protocols and high performance/BigData information systems, analysis of scheduling, blockchain technology, analytical modeling and simulation of computer/network systems.
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Specificații
ISBN-13: 9783030444105
ISBN-10: 3030444104
Pagini: 161
Ilustrații: XIII, 161 p. 164 illus., 34 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.25 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Programming and Software Engineering
Locul publicării:Cham, Switzerland
ISBN-10: 3030444104
Pagini: 161
Ilustrații: XIII, 161 p. 164 illus., 34 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.25 kg
Ediția:1st ed. 2020
Editura: Springer International Publishing
Colecția Springer
Seriile Lecture Notes in Computer Science, Programming and Software Engineering
Locul publicării:Cham, Switzerland
Cuprins
Hybrid Petri Nets Featuring Multiple Random Variables.- Abandonment Attack on the LEACH Protocol.- Coherent Resolutions of Nondeterminism.- Emulating Self-adaptive Stochastic Petri Nets.- Design and Evaluation of an Edge Concurrency Control Protocol for Distributed Graph Databases.- A Novel Data-driven Algorithm for the Automated Detection of Unexpectedly High Traffic Flow in Uncongested Traffic States.- A Network Aware Resource Discovery Service.- EthExplorer: A Tool for Forensic Analysis of the Ethereum Blockchain.- A Queueing Model that Works Only on Biggest Jobs.- Performance Evaluation of Thermal-Constrained Scheduling Strategies in Multi-Core Systems.- Bounding the Rate of Convergence for One Class of Finite Capacity Time Varying Markov~Queues.