• 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