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In a distributed service environment, service discovery is a core functionality to locate the desired services. We propose an integrated semantic service discovery approach based on ontology, which provides matching of functional and non-functional properties. Functional properties are described in terms of operations, inputs, outputs, preconditions and effects, while non-functional properties are specified as business policies, QoS properties and context policies. Ontological inference and rulebased reasoning are applied for automatic and accurate discovery.

This paper presents an architecture specified within the project "Plug-and-play for Network and Teleservice Components" supported by The Norwegian Research Council. The hardware and software parts, as well as complete network elements that constitute a communication system, shall have the ability to configure themselves when installed into a network and then to provide services according to their own capabilities, the service repertoire and the operating policies of the system.Plug-and-play components and functional objects are defined. A theatre analogy is chosen for the specification of the needed PaP support functionality. Plays define the functionality of the system. PaP components are realised by actors playing roles defined by manuscripts. An actor's capabilities define his possibilities for playing various roles.

Abstract. This paper presents a policy-supported architecture for adaptable service systems based on the combination of Reasoning Machines and Extended Finite State Machines. Policies are introduced to obtain flexibility with respect to specification and execution of adaptation mechanisms. The presented architecture covers two aspects: service system framework and adaptation mechanisms. The service system framework is a general framework for capability management. Adaptation mechanisms are needed for autonomous adaptation. The adaptation mechanisms can be based on static or dynamic policy systems. Capability management for of a simple music video-on demand service system with runtime simulation results based on the proposed architecture is presented.