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Tools for Declarative Performance Engineering

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Samuel KounevAuthors Info & Claims

ICPE '18: Companion of the 2018 ACM/SPEC International Conference on Performance Engineering

Pages 53 - 56

https://doi.org/10.1145/3185768.3185777

Published: 02 April 2018 Publication History

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Abstract

Performance is of particular relevance to software system design, operation, and evolution. However, the application of performance engineering approaches to solve a given user concern is challenging and requires expert knowledge. In this tutorial paper, we guide the reader step-by-step through the answering of performance concerns following the idea of declarative performance engineering. We explain tools available online, which can be used for automating huge parts of the software performance engineering process. In particular, we present a performance concern language, for which we provide automated answering and visualization referring to measurement-based and model-based analysis. We also detail how to derive performance models using automated extraction of architectural performance models and modeling of parametric dependencies.

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Cited By

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Mazkatli MMonschein DGrohmann JKoziolek A(2020)Incremental Calibration of Architectural Performance Models with Parametric Dependencies2020 IEEE International Conference on Software Architecture (ICSA)10.1109/ICSA47634.2020.00011(23-34)Online publication date: Mar-2020
https://doi.org/10.1109/ICSA47634.2020.00011
Barve YShekhar SKhare SBhattacharjee AGokhale A(2018)UPSARA: A Model-Driven Approach for Performance Analysis of Cloud-Hosted Applications2018 IEEE/ACM 11th International Conference on Utility and Cloud Computing (UCC)10.1109/UCC.2018.00009(1-10)Online publication date: Dec-2018
https://doi.org/10.1109/UCC.2018.00009

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Published In

ICPE '18: Companion of the 2018 ACM/SPEC International Conference on Performance Engineering

April 2018

212 pages

ISBN:9781450356299

DOI:10.1145/3185768

General Chairs:
Katinka Wolter
Free University of Berlin, Germany
,
Will Knottenbelt
Imperial College London, UK
,
Program Chairs:
André van Hoorn
University of Stuttgart, Germany
,
Manoj Nambiar
Tata Consultancy Services, India
,
Heiko Koziolek
ABB, Germany

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 April 2018

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Research-article

Funding Sources

German Research Foundation (DFG)

Conference

ICPE '18

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ICPE '18: ACM/SPEC International Conference on Performance Engineering

April 9 - 13, 2018

Berlin, Germany

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Overall Acceptance Rate 252 of 851 submissions, 30%

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Mazkatli MMonschein DGrohmann JKoziolek A(2020)Incremental Calibration of Architectural Performance Models with Parametric Dependencies2020 IEEE International Conference on Software Architecture (ICSA)10.1109/ICSA47634.2020.00011(23-34)Online publication date: Mar-2020
https://doi.org/10.1109/ICSA47634.2020.00011
Barve YShekhar SKhare SBhattacharjee AGokhale A(2018)UPSARA: A Model-Driven Approach for Performance Analysis of Cloud-Hosted Applications2018 IEEE/ACM 11th International Conference on Utility and Cloud Computing (UCC)10.1109/UCC.2018.00009(1-10)Online publication date: Dec-2018
https://doi.org/10.1109/UCC.2018.00009

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