A Methodology for Performance Modeling of Distributed Event-Based Systems
S. Kounev, K. Sachs, J. Bacon, und A. Buchmann. Proceedings of the 11th IEEE International Symposium on Object Oriented Real-Time Distributed Computing (ISORC 2008), Orlando, Florida, USA, May 5-7, 2008, Seite 13--22. Washington, DC, USA, IEEE Computer Society, (2008)Acceptance Rate (Full Paper): 30\%, <b>Best-Paper-Award-Nomination</b>.
Zusammenfassung
Distributed event-based systems (DEBS) are gaining increasing attention in new application areas such as transport information monitoring, event-driven supply-chain management and ubiquitous sensor-rich environments. However, as DEBS increasingly enter the enterprise and commercial domains, performance and quality of service issues are becoming a major concern. While numerous approaches to performance modeling and evaluation of conventional request/reply-based distributed systems are available in the literature, no general approach exists for DEBS. This paper is the first to provide a comprehensive methodology for workload characterization and performance modeling of DEBS. A workload model of a generic DEBS is developed and operational analysis techniques are used to characterize the system traffic and derive an approximation for the mean event delivery latency. Following this, a modeling technique is presented that can be used for accurate performance prediction. The paper is concluded with a case study of a real life system demonstrating the effectiveness and practicality of the proposed approach.
Proceedings of the 11th IEEE International Symposium on Object Oriented Real-Time Distributed Computing (ISORC 2008), Orlando, Florida, USA, May 5-7, 2008
%0 Conference Paper
%1 KoSaBaBu2008-ISORC-ModelingDEBS
%A Kounev, Samuel
%A Sachs, Kai
%A Bacon, Jean
%A Buchmann, Alejandro
%B Proceedings of the 11th IEEE International Symposium on Object Oriented Real-Time Distributed Computing (ISORC 2008), Orlando, Florida, USA, May 5-7, 2008
%C Washington, DC, USA
%D 2008
%I IEEE Computer Society
%K QPN Event-based t_full Simulation Performance Application_quality_of_service_management descartes Formal_architecture_modeling Prediction Analytical_and_simulation-based_analysis Award QPME_Bibliography
%P 13--22
%T A Methodology for Performance Modeling of Distributed Event-Based Systems
%X Distributed event-based systems (DEBS) are gaining increasing attention in new application areas such as transport information monitoring, event-driven supply-chain management and ubiquitous sensor-rich environments. However, as DEBS increasingly enter the enterprise and commercial domains, performance and quality of service issues are becoming a major concern. While numerous approaches to performance modeling and evaluation of conventional request/reply-based distributed systems are available in the literature, no general approach exists for DEBS. This paper is the first to provide a comprehensive methodology for workload characterization and performance modeling of DEBS. A workload model of a generic DEBS is developed and operational analysis techniques are used to characterize the system traffic and derive an approximation for the mean event delivery latency. Following this, a modeling technique is presented that can be used for accurate performance prediction. The paper is concluded with a case study of a real life system demonstrating the effectiveness and practicality of the proposed approach.
@inproceedings{KoSaBaBu2008-ISORC-ModelingDEBS,
abstract = {Distributed event-based systems (DEBS) are gaining increasing attention in new application areas such as transport information monitoring, event-driven supply-chain management and ubiquitous sensor-rich environments. However, as DEBS increasingly enter the enterprise and commercial domains, performance and quality of service issues are becoming a major concern. While numerous approaches to performance modeling and evaluation of conventional request/reply-based distributed systems are available in the literature, no general approach exists for DEBS. This paper is the first to provide a comprehensive methodology for workload characterization and performance modeling of DEBS. A workload model of a generic DEBS is developed and operational analysis techniques are used to characterize the system traffic and derive an approximation for the mean event delivery latency. Following this, a modeling technique is presented that can be used for accurate performance prediction. The paper is concluded with a case study of a real life system demonstrating the effectiveness and practicality of the proposed approach.},
added-at = {2020-04-06T11:21:15.000+0200},
address = {Washington, DC, USA},
author = {Kounev, Samuel and Sachs, Kai and Bacon, Jean and Buchmann, Alejandro},
biburl = {https://www.bibsonomy.org/bibtex/2aa0731e14f54c1df205312114530f085/se-group},
booktitle = {Proceedings of the 11th IEEE International Symposium on Object Oriented Real-Time Distributed Computing (ISORC 2008), Orlando, Florida, USA, May 5-7, 2008},
interhash = {dca884de972d418c7dbb6c3d1bf97791},
intrahash = {aa0731e14f54c1df205312114530f085},
keywords = {QPN Event-based t_full Simulation Performance Application_quality_of_service_management descartes Formal_architecture_modeling Prediction Analytical_and_simulation-based_analysis Award QPME_Bibliography},
note = {Acceptance Rate (Full Paper): 30\%, <b>Best-Paper-Award-Nomination</b>},
pages = {13--22},
publisher = {IEEE Computer Society},
timestamp = {2020-10-05T16:26:55.000+0200},
title = {{A Methodology for Performance Modeling of Distributed Event-Based Systems}},
year = 2008
}