A P2P Network of Space Containers for Efficient Management of Spatial-Temporal Data in Intelligent Transportation Scenarios

The effectiveness of Intelligent Transportation Systems (ITS) depends on their ability to collect contextual data from various sources and appropriately generate and transport comprehensible, reliable and timely content to users. In such applications, the exchanged content is structured in space and time. Peer-to-peer (P2P) networks are the natural choice these applications due to their fault-tolerance, self-organization and scalability properties. However, a closer analysis of the available Distributed Hash Tables (DHT) protocols shows that the structure of the data gets lost and its short liveness leads to high signalling traffic. In this work we propose a novel overlay network of so called Space Containers for storing, accessing, manipulating and structuring dynamic geo-located content. The benefits of combining Space Containers and DHT are: clean applica-tion programming logic and efficient content retrieval while preserving the properties of DHTs. We describe the system architecture applied to a trans-portation scenario and show preliminary evaluation results. 1

An extensible Space-Based coordination approach for modeling complex patterns in large systems

Abstract. Coordination is frequently associated with shared data spaces employing Linda coordination. But in practice, communication between parallel and distributed processes is carried out with message exchange patterns. What, actually, do shared data spaces contribute beyond these? In this paper we present a formal representation for a definition of shared spaces by introducing an "extensible tuple model", based on existing research on Linda coordination, some Linda extensions, and virtual shared memory. The main enhancements of the extensible tuple model comprise: means for structuring of spaces, Internet-compatible addressing of resources, more powerful coordination capabilities, a clear separation of user data and coordination information, support of symmetric peer application architectures, and extensibility through programmable aspects. The advantages of the extensible tuple model (XTM) are that it allows for a specification of complex coordination patterns