Stefan Craß

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Space-based computing middleware offers a data driven style for the coordination of processes. The interaction requirements between these processes can be complex, and the template matching coordination law of the Linda and JavaSpaces model is not sufficient. Moreover, the usage should not be limited to a single platform. Several authors have proposed(More)
In distributed applications, multiple autonomous processes need to collaborate in an efficient way. Space-based middleware enables data-driven coordination for these processes via shared tuple spaces that allow a decoupled form of communication. Complex coordination logic may be provided to clients via reusable service components that access such tuple(More)
We present the advantages of a new coordination model termed "Peer Model" for the design of coordination strategies and introduce new extensions for the modeling of time and reference. The motivating example is the wireless, reliable, and timely upstream propagation of events about approaching trains, detected by sensors, to a rail crossing. Embedded(More)
Distributed applications require coordination of distributed software components in order to achieve a common goal. A coordination model that abstracts the complexity of network communication eases the development of such applications. The objective is to design collaboration with remote hosts in the same way as local interactions. Separation of(More)
Coordination in distributed embedded systems requires complex synchronization of many concurrent activities. This task becomes especially difficult when network and system failures have to be assumed. The Peer Model is a novel programming model for the design of coordination strategies among multiple nodes, aiming to bridge design and implementation. A(More)
Collaborative applications usually involve multiple autonomous processes that have to coordinate themselves over the Internet in an efficient way. For such systems, shared tuple spaces provide a highly flexible coordination medium that enables the asynchronous exchange of messages and data and decouples the participants so that they do not need to know each(More)