Setting up an experimental evaluation for architecture-based Software Performance Engineering (SPE) approaches requires enormous efforts. This includes the selection and installation of representative applications, usage profiles, supporting tools, infrastructures, etc. Quantitative comparisons with related approaches are hardly possible due to limited repeatability of previous experiments by other researchers. This paper presents CASPA, a ready-to-use and extensible evaluation platform that already includes example applications and state-of-the-art SPE components, such as monitoring and model extraction. The platform explicitly provides interfaces to replace applications and components by custom(ized) components. The platform builds on state-of-the-art technologies such as container-based virtualization.
%0 Conference Paper
%1 DuHeHoPiWaWi2017-CASPA
%A Düllmann, Thomas F.
%A Heinrich, Robert
%A van Hoorn, Andre
%A Pitakrat, Teerat
%A Walter, Jürgen
%A Willnecker, Felix
%B Proceedings of the 2017 IEEE International Conference on Software Architecture (ICSA 2017)
%D 2017
%I IEEE
%K Application_quality_of_service_management Performance t_demo descartes PMX
%T CASPA: A Platform for Comparability of Architecture-based Software Performance Engineering Approaches
%U http://eprints.uni-kiel.de/37422/
%X Setting up an experimental evaluation for architecture-based Software Performance Engineering (SPE) approaches requires enormous efforts. This includes the selection and installation of representative applications, usage profiles, supporting tools, infrastructures, etc. Quantitative comparisons with related approaches are hardly possible due to limited repeatability of previous experiments by other researchers. This paper presents CASPA, a ready-to-use and extensible evaluation platform that already includes example applications and state-of-the-art SPE components, such as monitoring and model extraction. The platform explicitly provides interfaces to replace applications and components by custom(ized) components. The platform builds on state-of-the-art technologies such as container-based virtualization.
@inproceedings{DuHeHoPiWaWi2017-CASPA,
abstract = {Setting up an experimental evaluation for architecture-based Software Performance Engineering (SPE) approaches requires enormous efforts. This includes the selection and installation of representative applications, usage profiles, supporting tools, infrastructures, etc. Quantitative comparisons with related approaches are hardly possible due to limited repeatability of previous experiments by other researchers. This paper presents CASPA, a ready-to-use and extensible evaluation platform that already includes example applications and state-of-the-art SPE components, such as monitoring and model extraction. The platform explicitly provides interfaces to replace applications and components by custom(ized) components. The platform builds on state-of-the-art technologies such as container-based virtualization.},
added-at = {2020-04-05T23:16:25.000+0200},
author = {D{\"u}llmann, Thomas F. and Heinrich, Robert and van Hoorn, Andre and Pitakrat, Teerat and Walter, J{\"u}rgen and Willnecker, Felix},
biburl = {https://www.bibsonomy.org/bibtex/2a852cf8897df95cd02cec4e8c45c0ad9/se-group},
booktitle = {Proceedings of the 2017 IEEE International Conference on Software Architecture (ICSA 2017)},
interhash = {b653103b1b43db16cc20545ae6fa3af2},
intrahash = {a852cf8897df95cd02cec4e8c45c0ad9},
keywords = {Application_quality_of_service_management Performance t_demo descartes PMX},
publisher = {IEEE},
timestamp = {2020-10-05T16:27:08.000+0200},
title = {CASPA: A Platform for Comparability of Architecture-based Software Performance Engineering Approaches},
url = {http://eprints.uni-kiel.de/37422/},
year = 2017
}