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Computer Performance Engineering

16th European Workshop, EPEW 2019, Milan, Italy, November 28-29, 2019, Revised Selected Papers

Marco Gribaudo (Redaktør) ; Mauro Iacono (Redaktør) ; Tuan Phung-Duc (Redaktør) ; Rostislav Razumchik (Redaktør)

Serie: Programming and Software Engineering 12039

This book constitutes the refereed proceedings of the 16th European Workshop on Computer Performance Engineering, EPEW 2019, held in Milan, Italy, in November 2019.



The 10 papers presented in this volume together with one invited talk were carefully reviewed and selected from 13 submissions. Les mer
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Vår pris: 759,-

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Leveringstid: Sendes innen 21 dager
På grunn av Brexit-tilpasninger og tiltak for å begrense covid-19 kan det dessverre oppstå forsinket levering.

Om boka

This book constitutes the refereed proceedings of the 16th European Workshop on Computer Performance Engineering, EPEW 2019, held in Milan, Italy, in November 2019.



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.

Fakta

Innholdsfortegnelse

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.