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Abstract: We present a fully abstract, denotational model for mobile, timed, nondeterministic data-flow networks whose components communicate in a point-to-point fashion. In this model components and networks of components are represented by sets of stream processing functions. Each stream processing function is required to be strongly pulse-driven and privacy preserving. A function is strongly pulse-driven if it is contractive with respect to the metric on streams. This property guarantees the existence ... (Update)
Context of citations to this paper: More
...messages. Abstracting too much from this information not only destroys compositionality but also reduces the expressive power. In [GS95] we proposed a timed model for the history based approach where components are described with sets of functions. This model is compositional...
.... processing functions, for which a multitude of tractable specification techniques for untimed as well as for timed systems exist ( GS95a] BDD 93] Moreover, for stream processing functions a powerful theory for compositional refinement has been developed. By using an...
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BibTeX entry: (Update)
R. Grosu and K. Stølen. A denotational model for mobile point-to-point dataflow networks. Technical Report SFB 342/14/95 A, Technische Universitat Munchen, 1995. http://citeseer.ist.psu.edu/grosu97denotational.html More
@techreport{ grosu97denotational,
author = "Radu Grosu and Ketil St{\o}len and Manfred Broy",
title = "A Denotational Model for Mobile Point-to-Point Data-flow Networks with
Channel Sharing",
pages = "34",
year = "1997",
url = "citeseer.ist.psu.edu/grosu97denotational.html" }
Citations (may not include all citations):
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