Quantifying and Predicting the Influence of Execution Platform on Software Component Performance
Quantifying and Predicting the Influence of Execution Platform on Software Component Performance

Author: Michael Kuperberg

Publisher: KIT Scientific Publishing

Published: 2014-09

Total Pages: 442

ISBN-13: 3866447418

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The performance of software components depends on several factors, including the execution platform on which the software components run. To simplify cross-platform performance prediction in relocation and sizing scenarios, a novel approach is introduced in this thesis which separates the application performance profile from the platform performance profile. The approach is evaluated using transparent instrumentation of Java applications and with automated benchmarks for Java Virtual Machines.

Automated Experiments for Deriving Performance-relevant Properties of Software Execution Environments
Automated Experiments for Deriving Performance-relevant Properties of Software Execution Environments

Author: Hauck, Michael

Publisher: KIT Scientific Publishing

Published: 2014-02-11

Total Pages: 346

ISBN-13: 3731501384

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The software execution environment can play a crucial role when analyzing the performance of a software system. In this book, a novel approach for the automated detection of performance-relevant properties of the execution environment is presented. The properties are detected using predefined experiments and integrated into performance prediction tools. The approach is applied to experiments for detecting different CPU, OS, and virtualization properties, and validated in different case studies.

Certifying Software Component Performance Specifications
Certifying Software Component Performance Specifications

Author: Groenda, Henning

Publisher: KIT Scientific Publishing

Published: 2014-07-30

Total Pages: 502

ISBN-13: 3731500809

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In component-based software engineering, performance prediction approaches support the design of business information systems on the architectural level. They are based on behavior specifications of components. This work presents a round-trip approach for using, assessing, and certifying the accuracy of parameterized, probabilistic, deterministic, and concurrent performance specifications. Its applicability and effectiveness are demonstrated using the CoCoME benchmark.

Model-Based Performance Prediction for Concurrent Software on Multicore Architectures---A Simulation-Based Approach
Model-Based Performance Prediction for Concurrent Software on Multicore Architectures---A Simulation-Based Approach

Author: Frank, Markus Kilian

Publisher: KIT Scientific Publishing

Published: 2022-07-18

Total Pages: 400

ISBN-13: 3731511460

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Die modellbasierte Performancevorhersage ist ein bekanntes Konzept zur Gewährleistung der Softwarequalität. Derzeitige Ansätze basieren auf einem Modell mit einer Metrik, was zu ungenauen Vorhersagen für moderne Architekturen führt. In dieser Arbeit wird ein Multi-Strategie-Ansatz zur Erweiterung von Performancevorhersagemodellen zur Unterstützung von Multicore-Architekturen vorgestellt, in Palladio implementiert und dadurch die Genauigkeit der Vorhersage deutlich verbessert. - Model-based performance prediction is a well-known concept to ensure the quality of software. Current approaches are based on a single-metric model, which leads to inaccurate predictions for modern architectures. This thesis presents a multi-strategies approach to extend performance prediction models to support multicore architectures. We implemented the strategies into Palladio and significantly increased the performance prediction power.

Modeling and Prediction of I/O Performance in Virtualized Environments
Modeling and Prediction of I/O Performance in Virtualized Environments

Author: Noorshams, Omar-Qais

Publisher: KIT Scientific Publishing

Published: 2017-03-10

Total Pages: 312

ISBN-13: 373150359X

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We present a novel performance modeling approach tailored to I/O performance prediction in virtualized environments. The main idea is to identify important performance-influencing factors and to develop storage-level I/O performance models. To increase the practical applicability of these models, we combine the low-level I/O performance models with high-level software architecture models. Our approach is validated in a variety of case studies in state-of-the-art, real-world environments.

Computer Performance Engineering
Computer Performance Engineering

Author: Maria Simonetta Balsamo

Publisher: Springer

Published: 2013-08-19

Total Pages: 360

ISBN-13: 3642407250

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This book constitutes the refereed post-proceedings of the 10th European Performance Engineering Workshop, EPEW 2013, held in Venice, Italy, in September 2013. The 16 regular papers presented together with 8 short papers and 2 invited talks were carefully reviewed and selected from 33 submissions. The Workshop aims to gather academic and industrial researchers working on all aspects of performance engineering. Original papers related to theoretical and methodological issues as well as case studies and automated tool support are solicited in the following areas: performance modeling and evaluation, system and network performance engineering, and software performance engineering.

Performance Problem Diagnostics by Systematic Experimentation
Performance Problem Diagnostics by Systematic Experimentation

Author: Wert, Alexander

Publisher: KIT Scientific Publishing

Published: 2018-03-29

Total Pages: 486

ISBN-13: 3731506777

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In this book, we introduce an automatic, experiment-based approach for performance problem diagnostics in enterprise software systems. The proposed approach systematically searches for root causes of detected performance problems by executing series of systematic performance tests. The presented approach is evaluated by various case studies showing that the presented approach is applicable to a wide range of contexts.

An Approach for Guiding Developers to Performance and Scalability Solutions
An Approach for Guiding Developers to Performance and Scalability Solutions

Author: Heger, Christoph

Publisher: KIT Scientific Publishing

Published: 2018-09-05

Total Pages: 390

ISBN-13: 373150698X

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The quality of enterprise software applications plays a crucial role for the satisfaction of the users and the economic success of the enterprises. Software applications with unsatisfying performance and scalability are perceived by its users as low in quality, as less interesting and less attractive, and cause frustration when preventing the users from attaining their goals. This book proposes an approach for a recommendation system that enables developers who are novices in software perform.