Overview
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes in Computer Science (LNCS, volume 10497)
Part of the book sub series: Programming and Software Engineering (LNPSE)
Included in the following conference series:
Conference proceedings info: EPEW 2017.
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Table of contents (18 papers)
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Advances in Markov Models
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Performance, Energy and Security
Other volumes
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Computer Performance Engineering
Keywords
- performance modeling and evaluation
- Markov Process
- Model Checking
- Software performance Engineering
- System Performance Engineering
- Network performance Engineering
- Software and application security
- Energy and Power Consumption modeling and evaluation
- Reliability Analysis
- Probability
- Software engineering
- Learning systems
- wireless sensor networks
About this book
Germany, in September 2017.
The 18 papers presented together with the abstracts of two invited talks in this volumeÂ
were carefully reviewed and selected from 30 submissions.Â
The papers presented at the workshop reflect the diversity of modern performance
engineering, with topics ranging from advances in Markov models; advances in quantitative analysis;Â
model checking; and cyber-physical systems to performance, energy and security.
Editors and Affiliations
Bibliographic Information
Book Title: Computer Performance Engineering
Book Subtitle: 14th European Workshop, EPEW 2017, Berlin, Germany, September 7-8, 2017, Proceedings
Editors: Philipp Reinecke, Antinisca Di Marco
Series Title: Lecture Notes in Computer Science
DOI: https://doi.org/10.1007/978-3-319-66583-2
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer International Publishing AG 2017
Softcover ISBN: 978-3-319-66582-5Published: 15 August 2017
eBook ISBN: 978-3-319-66583-2Published: 31 August 2017
Series ISSN: 0302-9743
Series E-ISSN: 1611-3349
Edition Number: 1
Number of Pages: XVI, 299
Number of Illustrations: 103 b/w illustrations
Topics: System Performance and Evaluation, Probability and Statistics in Computer Science, Logics and Meanings of Programs, Software Engineering, Simulation and Modeling, Artificial Intelligence