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)