A Quantitative Model-based Selection of Web Service Reconfiguration

Web service reconfiguration plays a critical role in Service-Oriented Software (SOS), which provides a self-adaptation technique to ensure the business-critical application can be correctly worked when an SOS system is deployed in the uncertain Internet environment. To address this problem, the primary task is to select substitution services for handling the current failure service, such as the atomic service or composite service. In this paper, the service process of Web service is initially formalized in the form of a probabilistic timed model PTWSB at both of the behavior level and QoS level. Then it gives two model-based reconfigurations with different service selection demands, mainly the single-source service reconfiguration and multi-source service reconfiguration. Our approach has a good potential application prospect in Service-Oriented Software.