Prediction of quality attributes such as throughput, resource utilization, or timing effects. Model-based performance prediction is a type of prediction that uses a model as input for the prediction.
Published in Chapter:
Performance Modeling for Quality of Service Prediction in Service-Oriented Systems
Christoph Rathfelder (FZI Research Center for Information Technology Karlsruhe, Germany), Benjamin Klatt (FZI Research Center for Information Technology Karlsruhe, Germany), Franz Brosch (FZI Research Center for Information Technology Karlsruhe, Germany), and Samuel Kounev (Karlsruhe Institute of Technology, Germany)
Copyright: © 2012
|Pages: 22
DOI: 10.4018/978-1-61350-432-1.ch011
Abstract
With the introduction of services, systems become more flexible as new services can easily be composed out of existing services. Services are increasingly used in mission-critical systems and applications, and therefore, considering Quality of Service (QoS) properties is an essential part of the service selection. Quality prediction techniques support the service provider in determining possible QoS levels that can be guaranteed to a customer or in deriving the operation costs induced by a certain QoS level. In this chapter, we present an overview on our work on modeling service-oriented systems for performance prediction using the Palladio Component Model. The prediction builds upon a model of a service-based system, and evaluates this model in order to determine the expected service quality. The presented techniques allow for early quality prediction, without the need for the system being already deployed and operating. We present the integration of our prediction approach into an SLA management framework. The emerging trend to combine event-based communication and Service-Oriented Architecture (SOA) into Event-based SOA (ESOA) induces new challenges to our approach, which are topic of a special subsection.