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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/115758...
Part of book or chapter of book . 2005 . Peer-reviewed
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DBLP
Conference object . 2017
Data sources: DBLP
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A Model of Pervasive Services for Service Composition

Authors: Caroline Funk; Christoph Kuhmünch; Christoph Niedermeier;

A Model of Pervasive Services for Service Composition

Abstract

We propose a formal definition of a pervasive service model targeting the very dynamic environments typical of mobile application scenarios. The model is based on a requirement analysis and evolves from existing service definitions. These are extended with pervasive features that allow for the modeling of context awareness, and pervasive functionality needed for the dynamic (re-) composition of services. In order to demonstrate its value, we present an implementation of a pervasive service platform that makes use of the service model.

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    popularity
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    influence
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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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