Supervision et vérification décentralisées de chorégraphies de services
Identifieur interne : 000E27 ( Main/Exploration ); précédent : 000E26; suivant : 000E28Supervision et vérification décentralisées de chorégraphies de services
Auteurs : Aymen Baouab [France] ; Olivier Perrin [France] ; Claude Godart [France]Source :
- Ingénierie des systèmes d'information : (2001) [ 1633-1311 ] ; 2014.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Décentralisation.
English descriptors
- KwdEn :
Abstract
Cross-organizational choreographies are increasingly adopted by different companies. In order to guarantee that all involved partners are informed about errors that may happen in the collaboration, it is necessary to monitor the execution process by continuously observing and checking message exchanges during runtime. This allows a global process tracking and evaluation of process metrics. In this paper, we present an approach for decentralized monitoring of cross-organizational service-based processes. We define an hierarchical propagation model for exchanging external notifications between the collaborating parties in order to limit data exposure and avoid bandwidth overhead. The generation of notifications relies on state change of choreographies allowing to transparently observe the external behavior of each participant without providing information about the internal processes. The collected monitoring data can be further used for the evaluation of global process metrics by expressing and evaluating statistical queries over execution traces. In case of violation, an algorithm is proposed to find the root cause.
Affiliations:
Links toward previous steps (curation, corpus...)
- to stream PascalFrancis, to step Corpus: 000015
- to stream PascalFrancis, to step Curation: 000989
- to stream PascalFrancis, to step Checkpoint: 000002
- to stream Main, to step Merge: 000E19
- to stream Main, to step Curation: 000E27
Le document en format XML
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<front><div type="abstract" xml:lang="en">Cross-organizational choreographies are increasingly adopted by different companies. In order to guarantee that all involved partners are informed about errors that may happen in the collaboration, it is necessary to monitor the execution process by continuously observing and checking message exchanges during runtime. This allows a global process tracking and evaluation of process metrics. In this paper, we present an approach for decentralized monitoring of cross-organizational service-based processes. We define an hierarchical propagation model for exchanging external notifications between the collaborating parties in order to limit data exposure and avoid bandwidth overhead. The generation of notifications relies on state change of choreographies allowing to transparently observe the external behavior of each participant without providing information about the internal processes. The collected monitoring data can be further used for the evaluation of global process metrics by expressing and evaluating statistical queries over execution traces. In case of violation, an algorithm is proposed to find the root cause.</div>
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