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We propose a model for the behaviour of Web apps in the unreliable WWW. Web apps are described by orchestrations. An orchestration mimics the personal use of the Web by defining the way in which Web services are invoked. The WWW is unreliable as poorly maintained Web sites are prone to fail. We model this source of unreliability trough a probabilistic approach. We assume that each site has a probability to fail. Another source of uncertainty is the traffic congestion. This can be observed as a non-deterministic behaviour induced by the variability in the response times. We model non-determinism by imprecise probabilities. We develop here an ex-ante normal to characterize the behaviour of finite orchestrations in the unreliable Web. We show the existence of a normal form under such semantics for orchestrations using asymmetric parallelism. | We propose a model for the behaviour of Web apps in the unreliable WWW. Web apps are described by orchestrations. An orchestration mimics the personal use of the Web by defining the way in which Web services are invoked. The WWW is unreliable as poorly maintained Web sites are prone to fail. We model this source of unreliability trough a probabilistic approach. We assume that each site has a probability to fail. Another source of uncertainty is the traffic congestion. This can be observed as a non-deterministic behaviour induced by the variability in the response times. We model non-determinism by imprecise probabilities. We develop here an ex-ante normal to characterize the behaviour of finite orchestrations in the unreliable Web. We show the existence of a normal form under such semantics for orchestrations using asymmetric parallelism. | ||
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* [https://upcommons.upc.edu/bitstream/2117/128655/3/v9-Final-ImpProb.pdf https://upcommons.upc.edu/bitstream/2117/128655/3/v9-Final-ImpProb.pdf] | * [https://upcommons.upc.edu/bitstream/2117/128655/3/v9-Final-ImpProb.pdf https://upcommons.upc.edu/bitstream/2117/128655/3/v9-Final-ImpProb.pdf] | ||
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+ | * [http://link.springer.com/content/pdf/10.1007/978-3-319-91476-3_19 http://link.springer.com/content/pdf/10.1007/978-3-319-91476-3_19], | ||
+ | : [http://dx.doi.org/10.1007/978-3-319-91476-3_19 http://dx.doi.org/10.1007/978-3-319-91476-3_19] under the license http://www.springer.com/tdm | ||
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+ | * [https://link.springer.com/chapter/10.1007/978-3-319-91476-3_19 https://link.springer.com/chapter/10.1007/978-3-319-91476-3_19], | ||
+ | : [https://dblp.uni-trier.de/db/conf/ipmu/ipmu2018-2.html#CastroGS18 https://dblp.uni-trier.de/db/conf/ipmu/ipmu2018-2.html#CastroGS18], | ||
+ | : [https://upcommons.upc.edu/handle/2117/128655 https://upcommons.upc.edu/handle/2117/128655], | ||
+ | : [https://www.scipedia.com/public/Castro_et_al_2018a https://www.scipedia.com/public/Castro_et_al_2018a], | ||
+ | : [https://upcommons.upc.edu/bitstream/2117/128655/3/v9-Final-ImpProb.pdf https://upcommons.upc.edu/bitstream/2117/128655/3/v9-Final-ImpProb.pdf], | ||
+ | : [https://academic.microsoft.com/#/detail/2804269031 https://academic.microsoft.com/#/detail/2804269031] |
We propose a model for the behaviour of Web apps in the unreliable WWW. Web apps are described by orchestrations. An orchestration mimics the personal use of the Web by defining the way in which Web services are invoked. The WWW is unreliable as poorly maintained Web sites are prone to fail. We model this source of unreliability trough a probabilistic approach. We assume that each site has a probability to fail. Another source of uncertainty is the traffic congestion. This can be observed as a non-deterministic behaviour induced by the variability in the response times. We model non-determinism by imprecise probabilities. We develop here an ex-ante normal to characterize the behaviour of finite orchestrations in the unreliable Web. We show the existence of a normal form under such semantics for orchestrations using asymmetric parallelism.
Peer Reviewed
The different versions of the original document can be found in:
Published on 01/01/2018
Volume 2018, 2018
DOI: 10.1007/978-3-319-91476-3_19
Licence: CC BY-NC-SA license
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