With the goal of addressing open and dynamic scenarios like the Web, in this paper we introduce a semantic-oriented extension of the tuple space model. In our model, each tuple space is equipped with the ontological description of the coordination domain (e.g. expressed in W3C's OWL language). Tuples represent individuals of the domain along with their properties, and retrieval templates correspond to queries used to check whether an individual is the instance of an ontological concept (as typical in Description Logics, the logic of semantic reasoning). Differently from existing approaches in literature, we obtain a model that is fully expressive -compared to OWL -with a smooth extension of the standard syntactic setting of tuple spaces, namely, by an intuitive extension of the language for tuples and tuple templates. We discuss an incarnation of this model in the TuCSoN coordination model and infrastructure.

Here we present the overall objectives and approach of the SAPERE (“Self-aware Pervasive Service Ecosystems”) project, focussed on the development of a highly-innovative nature-inspired framework, suited for the decentralized deployment, execution, and management, of self-aware and adaptive pervasive services in future network scenarios

Technology evolution is providing new pervasive service scenarios characterised by a huge number of distributed and dynamic devices. Accordingly, a new generation of services and infrastructures are emerging which support situatedness, adaptivity and diversity. In this paper we model the overall world of services, data and devices, as a distributed computational ecosystem. As such, each entity will be modelled as an autonomous, spatially-situated individual of the ecosystem, whose existence and state is reified by an LSA (Live Semantic Annotation). Ecosystem behaviour is controlled by coordination rules called eco-laws, which are chemical-like reactions evolving the population of LSAs. We describe an architecture supporting this vision along with a model of eco-laws, and show their usefulness in a scenario of adaptive pervasive displays.

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Extending tuple spaces with Description Logic provides a coordination model particularly suitable for open and dynamic application domains like pervasive systems, Internet applications and service-based applications. However, description logic per se is not powerful enough to represent vague/fuzzy knowledge so often required by real-world application scenarios. Hence, in this paper we extend the model of Description Logic tuple spaces (Description Spaces, or DS, in short) with fuzziness in order to support fuzzy semantic coordination.