LIMBO: A Tool For Modeling Variable Load Intensities
J. von Kistowski, N. Herbst, and S. Kounev. Proceedings of the 5th ACM/SPEC International Conference on Performance Engineering (ICPE 2014), page 225--226. New York, NY, USA, ACM, (March 2014)
Abstract
Modern software systems are expected to deliver reliable performance under highly variable load intensities while at the same time making efficient use of dynamically allocated resources. Conventional benchmarking frameworks provide limited support for emulating such highly variable and dynamic load profiles and workload scenarios. Industrial benchmarks typically use workloads with constant or stepwise increasing load intensity, or they simply replay recorded workload traces. In this paper, we present LIMBO - an Eclipse-based tool for modeling variable load intensity profiles based on the Descartes Load Intensity Model as an underlying modeling formalism.
%0 Conference Paper
%1 KiHeKo2014-ICPEDemo-LIMBO
%A von Kistowski, Jóakim
%A Herbst, Nikolas Roman
%A Kounev, Samuel
%B Proceedings of the 5th ACM/SPEC International Conference on Performance Engineering (ICPE 2014)
%C New York, NY, USA
%D 2014
%I ACM
%K LIMBO Metrics_and_benchmarking_methodologies Performance Automated_model_learning Resource_management Instrumentation_profiling_and_workload_characterization Meta-models Elasticity myown t_demo Tool descartes
%P 225--226
%T LIMBO: A Tool For Modeling Variable Load Intensities
%U http://doi.acm.org/10.1145/2568088.2576092
%X Modern software systems are expected to deliver reliable performance under highly variable load intensities while at the same time making efficient use of dynamically allocated resources. Conventional benchmarking frameworks provide limited support for emulating such highly variable and dynamic load profiles and workload scenarios. Industrial benchmarks typically use workloads with constant or stepwise increasing load intensity, or they simply replay recorded workload traces. In this paper, we present LIMBO - an Eclipse-based tool for modeling variable load intensity profiles based on the Descartes Load Intensity Model as an underlying modeling formalism.
@inproceedings{KiHeKo2014-ICPEDemo-LIMBO,
abstract = {{Modern software systems are expected to deliver reliable performance under highly variable load intensities while at the same time making efficient use of dynamically allocated resources. Conventional benchmarking frameworks provide limited support for emulating such highly variable and dynamic load profiles and workload scenarios. Industrial benchmarks typically use workloads with constant or stepwise increasing load intensity, or they simply replay recorded workload traces. In this paper, we present LIMBO - an Eclipse-based tool for modeling variable load intensity profiles based on the Descartes Load Intensity Model as an underlying modeling formalism.}},
added-at = {2020-04-05T23:07:52.000+0200},
address = {New York, NY, USA},
author = {von Kistowski, J{\'o}akim and Herbst, Nikolas Roman and Kounev, Samuel},
biburl = {https://www.bibsonomy.org/bibtex/22e84b6a85b198ac8c71af2313c516813/samuel.kounev},
booktitle = {Proceedings of the 5th ACM/SPEC International Conference on Performance Engineering (ICPE 2014)},
interhash = {b6ca1802c15e4680499e260c53ecee71},
intrahash = {2e84b6a85b198ac8c71af2313c516813},
keywords = {LIMBO Metrics_and_benchmarking_methodologies Performance Automated_model_learning Resource_management Instrumentation_profiling_and_workload_characterization Meta-models Elasticity myown t_demo Tool descartes},
month = {March},
pages = {225--226},
publisher = {ACM},
series = {ICPE '14},
timestamp = {2020-10-05T16:31:00.000+0200},
title = {{LIMBO: A Tool For Modeling Variable Load Intensities}},
url = {http://doi.acm.org/10.1145/2568088.2576092},
year = 2014
}