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Base Paper Details :
Selection of Web Services with Imprecise QoS Constraints
Martine De Cock
Dept. of Applied Mathematics and Computer Science
Krijgslaan 281 (S9), 9000 Gent, Belgium
IEEE Paper Abstract :
When several functionally equivalent web services are available to perform the same task, their Quality of Service (QoS) characteristics such as performance and reliability become important in the selection process. Consumers that specify their QoS requirements too strictly however, risk not finding any web services meeting their demands. Therefore, in this paper we allow QoS constraints to be described im-precisely as fuzzy sets. We compare the effectiveness of an intelligent web service selection algorithm that takes these imprecise QoS constraints into account with a baseline algorithm acting on precise QoS values.
Base paper Introduction:
Web services are loosely coupled software components that can be invoked across the web, providing a mechanism for integrating various applications . For example, a system for booking airline tickets may rely on different web services for ticket browsing, price comparison, currency rate conversion, credit card validation, and payment. In a service oriented architecture, a provider publishes a description of the service that it offers to a broker.
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A consumer then looks for a suitable service by querying the broker. If no suitable service is available, a further search might lead to a composed service, i.e. a chain of web services that can be invoked successively to obtain the desired result. Web service selection and composition are currently among the most addressed issues in service oriented computing. The expectation that the number of available web services will grow significantly in the years to come, motivates a growing interest in automated mechanisms to perform these tasks.
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This research topic has recently been studied from different perspectives. Web services can be described by terms that are syntactically different but still carry a similar meaning. Many efforts therefore focus on semantic matchmaking.
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