Mapping WSLA on Reward Constructs in Möbius

نویسندگان

  • Rouaa Yassin Kassab
  • Aad van Moorsel
چکیده

This paper provides an outline for generating Möbius reward constructs and a partial Stochastic Activity Network model from an existing Web Service Level Agreement (WSLA) document of a web service system. This is done by parsing the WSLA document to group its ‘Service Level Agreement parameter elements’ with their corresponding ‘metric elements’ using the Document Object Model parser. These groups then are represented by matching Stochastic Activity Network representations and reward C++ statements that can be integrated in the Möbius framework. Using this approach, service providers can visualize their system performance and predict SLA values by solving the produced model.

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تاریخ انتشار 2008