Abstract

This paper presents Q-CAD, a resource discovery framework that enables pervasive computing applications to discover and select the resource(s) best satisfying the user needs, taking the current execution context and quality-of-service (QoS) requirements into account. The available resources are first screened, so that only those suitable to the current execution context of the application would be considered; the shortlisted resources are then evaluated against the QoS needs of the application, and a binding is established to the best available.

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