2008
DOI: 10.1007/978-3-540-89652-4_34
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TCP − Compose  ⋆  – A TCP-Net Based Algorithm for Efficient Composition of Web Services Using Qualitative Preferences

Abstract: Abstract. In many practical applications, trade-offs involving non-functional attributes e.g., availability, performance play an important role in selecting component services in assembling a feasible composition, i.e., a composite service that achieves the desired functionality. We present TCP-Compose , an algorithm for service composition that identifies, from a set of candidate solutions that achieve the desired functionality, a set of composite services that are non-dominated by any other candidate with re… Show more

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Cited by 19 publications
(15 citation statements)
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“…Given a set of candidate services offering the desired functionalities, the TCPCompose* algorithm [33] identifies the set of composite services that best fit the user-specified qualitative preferences over non-functional attributes. CHOReOSynt could exploit this research to extend the discovery process to enable more flexible selection of services from the registry.…”
Section: Related Workmentioning
confidence: 99%
“…Given a set of candidate services offering the desired functionalities, the TCPCompose* algorithm [33] identifies the set of composite services that best fit the user-specified qualitative preferences over non-functional attributes. CHOReOSynt could exploit this research to extend the discovery process to enable more flexible selection of services from the registry.…”
Section: Related Workmentioning
confidence: 99%
“…Given the user-preferences and trade-offs over nonfunctional attributes in the form of a TCP-net, we can define the preference valuation [17] of a service as follows.…”
Section: Definition 2 (Web Service Substitution) Given An Existing Comentioning
confidence: 99%
“…The modeling of non-functional properties by *CP-nets has been proposed in [17] and [18] but in the context of a static composition of services and without considering qualitative preferences nor continuous value domains.…”
Section: Fuzzy Linguistic Approach and *Cp-netsmentioning
confidence: 99%