DocumentCode
3283505
Title
Quality of Service Composition and Adaptability of Software Architectures
Author
Briones, Javier F. ; Miguel, M. ; Alonso, A. ; Silva, Juan Pedro
Author_Institution
Univ. Politec. de Madrid, Madrid, Spain
fYear
2009
fDate
17-20 March 2009
Firstpage
169
Lastpage
173
Abstract
Quality of service adaptability refers to the ability of components/services to adapt in run-time the quality exhibited. A composition study from a quality point of view would investigate how these adaptable elements could be combined to meet systempsilas quality requirements. Enclosing quality properties with architectural models has been typically used to improve system understanding. Nevertheless these properties along with some supplementary information about quality adaptation would allow us to carry out a composition study during the design phase and even to predict some features of the adaptability behavior of the system. Existing modeling languages and tools lack enough mechanisms to cope with adaptability, e.g. to describe system elements that may offer/require several quality levels. This paper shows how we reuse existing modeling languages and tools, combine them and create new ones to tackle the problem of quality of service adaptability and composition. The final goal of this work is to evaluate architectural models to predict systempsilas QoS behavior before it is implemented.
Keywords
simulation languages; software architecture; software quality; QoS behavior; modeling languages; quality adaptation; quality of service adaptability; quality of service composition; software architectures; system understanding; Adaptation model; Charge measurement; Current measurement; Distributed computing; Predictive models; Quality of service; Runtime; Software architecture; Streaming media; Teleconferencing;
fLanguage
English
Publisher
ieee
Conference_Titel
Object/Component/Service-Oriented Real-Time Distributed Computing, 2009. ISORC '09. IEEE International Symposium on
Conference_Location
Tokyo
ISSN
1555-0885
Print_ISBN
978-0-7695-3573-9
Type
conf
DOI
10.1109/ISORC.2009.45
Filename
5231986
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