Distributed Reactive XML: an XML-centric coordination middleware
- ,
- Henning Niss,
- Martin Olsen,
- Jacob W. Winther
Research Output:
Book / Anthology / Report
Report
Open access
Publication Information
Output type
Research Output:
Book / Anthology / Report
Report
Original language
EnglishPublication milestones
- Published - 03/2005
Publication status
Published - 03/2005
Place of publication
CopenhagenEdition
TR-2005-62Publisher
IT-Universitetet i København, DenmarkBook series
- Book series name: IT University Technical Report Series
Series number: TR-2005-62
ISSN: 1600-6100
ISBN (Electronic)
87-7949-091-3Abstract
XML-centric models of computation have been proposed as an answer to the demand for interoperability, heterogeneity and openness in coordination models. We present a prototype implementation of an open XML-centric coordination middleware called Distributed Reactive XML. The middleware has as theoretical foundation a general extendable, distributed process calculus inspired by the theory of Bigraphical Reactive Systems. The calculus is extendable just as XML is extendable, in that its signature and reaction rules are not fixed. It is distributed by allowing both the state of processes as well as the set of eaction rules to be distributed (or partly shared) between different clients. The calculus is implemented by representing process terms as XML documents stored in a value-oriented, peer-to-peer XML Store and reaction rules as XML transformations performed by the clients. The formalism does not require that only process terms are stored---inside process terms one may store application specific data as well. XML Store provides transparent sharing of process terms between all participating peers. Conflicts between concurrent reaction rules are handled by an optimistic concurrency control. The implementation thus provides an open XML-based coordination middleware with a formal foundation that encompasses both the shared data, processes and reaction rules.
Funding Details
This work was funded in part by the Danish Research Agency (grant no.: 2059-03-0031) and the IT University of Copenhagen (the LaCoMoCo project).
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Final published version, 227.59 KB
