Model-Based Performance Prediction for Event-Driven Systems
C. Rathfelder, and S. Kounev. Proceedings of the Third ACM International Conference on Distributed Event-Based Systems (DEBS 2009), page 33:1--33:2. New York, NY, USA, ACM, (July 2009)
Abstract
The event-driven communication paradigm provides a number of advantages for building loosely coupled distributed systems. However, the loose coupling of components in such systems makes it hard for developers to estimate their behavior and performance under load. Most existing performance prediction techniques for systems using event-driven communication require specialized knowledge to build the necessary prediction models. In this paper, we propose an extension of the Palladio Component Model (PCM) that provides natural support for modeling event-based communication and supports different performance prediction techniques.
%0 Conference Paper
%1 rathfelder2009
%A Rathfelder, Christoph
%A Kounev, Samuel
%B Proceedings of the Third ACM International Conference on Distributed Event-Based Systems (DEBS 2009)
%C New York, NY, USA
%D 2009
%I ACM
%K Analytical_and_simulation-based_analysis Prediction Performance descartes Meta-models Application_quality_of_service_management Formal_architecture_modeling Event-based myown Simulation t_extendedabstract Design_of_software_and_systems
%P 33:1--33:2
%T Model-Based Performance Prediction for Event-Driven Systems
%U http://doi.acm.org/10.1145/1619258.1619300
%X The event-driven communication paradigm provides a number of advantages for building loosely coupled distributed systems. However, the loose coupling of components in such systems makes it hard for developers to estimate their behavior and performance under load. Most existing performance prediction techniques for systems using event-driven communication require specialized knowledge to build the necessary prediction models. In this paper, we propose an extension of the Palladio Component Model (PCM) that provides natural support for modeling event-based communication and supports different performance prediction techniques.
@inproceedings{rathfelder2009,
abstract = {The event-driven communication paradigm provides a number of advantages for building loosely coupled distributed systems. However, the loose coupling of components in such systems makes it hard for developers to estimate their behavior and performance under load. Most existing performance prediction techniques for systems using event-driven communication require specialized knowledge to build the necessary prediction models. In this paper, we propose an extension of the Palladio Component Model (PCM) that provides natural support for modeling event-based communication and supports different performance prediction techniques.},
added-at = {2020-04-05T23:09:04.000+0200},
address = {New York, NY, USA},
author = {Rathfelder, Christoph and Kounev, Samuel},
biburl = {https://www.bibsonomy.org/bibtex/29cc8fdd65b4e3e5d13a03eebc2a13317/samuel.kounev},
booktitle = {Proceedings of the Third ACM International Conference on Distributed Event-Based Systems (DEBS 2009)},
interhash = {e6050f7f706b1083fee12a163d593a61},
intrahash = {9cc8fdd65b4e3e5d13a03eebc2a13317},
keywords = {Analytical_and_simulation-based_analysis Prediction Performance descartes Meta-models Application_quality_of_service_management Formal_architecture_modeling Event-based myown Simulation t_extendedabstract Design_of_software_and_systems},
month = {July},
pages = {33:1--33:2},
publisher = {ACM},
timestamp = {2020-10-05T16:31:16.000+0200},
title = {{Model-Based Performance Prediction for Event-Driven Systems}},
url = {http://doi.acm.org/10.1145/1619258.1619300},
year = 2009
}