QoS-based approach for context-aware service selection with fuzzy preferences handling Online publication date: Mon, 02-Dec-2013
by Mohcine Madkour; Driss ElGhanami; Abdelilah Maach
International Journal of Computer Applications in Technology (IJCAT), Vol. 47, No. 4, 2013
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.
Online publication date: Mon, 02-Dec-2013
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