They can be classified as: mathematical-based models or Artificial
Intelligence-based models (Gray & MacDonell, 1997; Martin-Albo, Bertoa, Calero, Vallecillo,
Cechich, & Piattini, 2003; Norman, Fenton, & Pfleeger, 1997). In the context of Web
services, considerable attention was brought to the QoS support by Web services. Therefore,
a number of works were proposed to categorize, specify, measure, and evaluate QoS for
Web services (Li, Ding, Chen, Liu, & Li, 2003; Mani & Nagarajan, 2002; Menasc?©, 2002;
Shuping, 2003).
Modeling QoS for Web services is in general similar to modeling quality for software products.
According to Salamon and Wallace (1994), there are two approaches to model product
quality: fixed model and define-your-own model. The existing fixed model for software or
component quality evaluation, such as the approaches referred to in Trendowicz and Punter
(2003), provides a fixed set of quality characteristics. In the second approach, the model
A Scalable QoS-Aware Web Serv ces Management Arch tecture (QoSMA)
Copyright ?© 2007, Idea Group Inc. Copying or distributing in print or electronic forms without written permission
of Idea Group Inc. is prohibited.
reflects the organization context and the QoS perceived by the quality model developers.
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