Abstract
The expected expansion of the number of context-aware services makes service selection engines, which are able to automatically recommend the most relevant service to users, in high demand. Yet, current approach and practice on service selection remain inadequate to meet the requirement posed by the user-centric computing paradigm. In our approach we consider that functional aspects of a service are already met and we focus on non-functional and QoS-related aspects in service description, indeed, QoS-aware computing is expected to be a key enabler for customising the selection of fast-growing context-aware services. We propose in this paper a workflow-based algorithm allowing the inexact matching between context and services descriptions, the service description and request are compared using four similarities measures: syntactic, linguistic, structural and QoS semantic. In the last a discussion is opened about possible methods for service ranking, and a case study is presented to demonstrate the effectiveness of our approach.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: International Journal of Computer Applications in Technology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
