Stochastic Analysis of Hierarchical Publish/Subscribe Systems

2011 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011)

Evans

2011

Self Cite

Event-based communication is used in different domains including telecommunications, transportation, and business information systems to build scalable distributed systems. The loose coupling of components in such systems makes it easy to vary the deployment. At the same time, the complexity to estimate the behavior and performance of the whole system is increased, which complicates capacity planning. In this paper, we present an automated performance prediction method supporting capacity planning for event-based systems. The performance prediction is based on an extended version of the Palladio Component Model -a performance meta-model for componentbased systems. We apply this method on a real-world case study of a traffic monitoring system. In addition to the application of our performance prediction techniques for capacity planning, we evaluate the prediction results against measurements in the context of the case study. The results demonstrate the practicality and effectiveness of the proposed approach.

Section: Related Workmentioning

confidence: 99%

Capacity planning for event-based systems using automated performance predictions

2011 26th IEEE/ACM International Conference on Automated Software Engineering (ASE 2011)

Evans

2011

Self Cite

“…This has led to a wide range of approaches to analyze the characteristics of event-based communications. However, most of them (e.g., [20] or [6]) are focused on analytical models for the event distribution infrastructure and do not consider the entire system architecture.…”

Section: Related Workmentioning

confidence: 99%

“…However, most general-purpose performance meta-models for component-based systems provide limited support for modeling event-based communication. Furthermore, existing performance prediction techniques specialized for event-based systems (e.g., [20]) are focused on modeling the routing of events in the system as opposed to modeling the interactions and message flows between the communicating components.…”

Section: Introductionmentioning

confidence: 99%

Integration of event-based communication in the palladio software quality prediction framework

Klatt

Proceedings of the Joint ACM SIGSOFT Conference -- QoSA and ACM SIGSOFT Symposium -- ISARCS on Quality of Software Architecture

2011

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Today, software engineering is challenged to handle more and more large-scale distributed systems with guaranteed quality-of-service. Component-based architectures have been established to build such systems in a more structured and manageable way. Modern architectures often utilize eventbased communication which enables loosely-coupled interactions between components and leads to improved system scalability. However, the loose coupling of components makes it challenging to model such architectures in order to predict their quality properties, e.g., performance and reliability, at system design time. In this paper, we present an extension of the Palladio Component Model (PCM) and the Palladio software quality prediction framework, enabling the modeling of event-based communication in component-based architectures. The contributions include: i) a meta-model extension supporting events as first class entities, ii) a modeto-model transformation from the extended to the original PCM, iii) an integration of the transformation into the Palladio tool chain allowing to use existing model solution techniques, and iv) a detailed evaluation of the reduction of the modeling effort enabled by the transformation in the context of a real-world case study.

“…The proposed modeling approach, however, does not provide means to predict the event delivery latency and it suffers from a number of restrictive assumptions. Many of these assumptions are relaxed in [21] where a generalization of the model is proposed, however, the generalized model is still limited to systems based on hierarchical identity-based routing. In [8], an analytical model of pub/sub systems based on subscription forwarding is proposed.…”

Section: Related Workmentioning

confidence: 99%

Modeling event-driven service-oriented systems using the palladio component model

Proceedings of the 1st International Workshop on Quality of Service-Oriented Software Systems

2009

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The use of event-based communication within a ServiceOriented Architecture promises several benefits including more loosely-coupled services and better scalability. However, the loose coupling of services makes it difficult for system developers to estimate the behavior and performance of systems composed of multiple services. Most existing performance prediction techniques for systems using event-based communication require specialized knowledge to build the necessary prediction models. Furthermore, general purpose design-oriented performance models for component-based systems provide limited support for modeling event-based communication. In this paper, we propose an extension of the Palladio Component Model (PCM) that provides natural support for modeling event-based communication. We show how this extension can be exploited to model event-driven service-oriented systems with the aim to evaluate their performance and scalability.