Mashups are getting more complex with the addition of rich-media and real-time services. The new research challenges will be how to guarantee the quality of the aggregated services, and how to share them in a collaborative manner. This paper presents a metadata-based mashup framework in Next Generation Wireless Network (NGWN), which guarantees the quality and supports social interactions. In contrast to existing quality-assured approaches, the proposed mashup model addresses the quality management issue from a new perspective through defining the Quality of Service (QoS) metadata into two levels: fidelity (user perspective) and modality (application perspective). The quality is assured from quality-aware service selection and quality-adaptable service delivery. Furthermore, the mashup model is extended for users to annotate services collaboratively. The annotation occurs in two ways, social tagging (e.g., rating and comments) and QoS attributes (e.g., device type and access network, etc.). In order to apply this network-independent metadata model into NGWN architecture, we further introduce a new entity named Multimedia Mashup Engine (MME) which enables seamlessly access to the services and Adaptation Decision Taking (ADT). Finally, our prototype system and the simulation results demonstrate the performance of the proposed work.
International audienceService creation by composing existing services and/or network resources is considered by Telecom and Internet industries as the trend for service provisioning in Next Generation Networks. Related research work is being carried out for years, and various service composition approaches have been proposed by different standardization organizations and companies catering to different network requirements. However, the requirements of automaticity, flexibility and runtime adaptation are still open issues for operators and service providers in the actual service environment. This paper, relying on a SCIM (Service Capability Interaction Manager) based service composition model, attempts to extend the Policy concept and introduces two additional functional modules, Capability Policies Repository and Policies Comparator, for addressing some of the automatic service composition issues in service provisioning process. With these extended policy and functional modules, the SCIM based model is enhanced with attributes of intelligence, flexibility and runtime adaptability: it enables delivering competitive and revenue generating service at a more rapid pace; reducing service creation and maintenance costs; and optimizing service lifecycl
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