Projekt: Web Services - DIAgnosability, MONitori...
Stammdaten
| Web Services - DIAgnosability, MONitoring and Diagnosis, WS-Diamond | |
| Beschreibung: | Self-healing software is one of the challenges for IST research. The aim of this project is a step in this direction, developing a framework for self-healing Web Services. The project will produce: - a framework for self-healing service execution (of conversationally complex Web Services), where monitoring, detection and diagnosis of anomalous situations (due to functional or non-functional errors, e.g., Quality of Service) is carried on and repair/reconfiguration is performed (thus guaranteeing reliability and availability of Web Services); - a methodology for service design that guarantees effective and efficient diagnosability/repairability during execution; - demonstration of these results on real applications. The research is risk-bearing. It builds upon results in different areas such as model-based diagnosis, semantic Web Services, cooperative information systems, and Web Service composition. It goes beyond a number of current projects in the area of Service Oriented Computing and Semantic Web Services, which do not consider the monitoring, diagnosing and repairing of Web Services. The research is timely because the progress in model-based diagnosis and the emergency of Web Services standards occurred in the last decade has reached sufficient foundational advances to make the proposed research feasible. The research is important because new computing technology has a tremendous potential for the creation of complex services to support e-commerce and human activities (e.g., healthcare, communities of workers), creating networks of co-operating eservices. These networks are open and may accommodate dynamically the addition and removal of new services and the disappearance of other ones. Such networks are however hindered by the inherent complexity and difficulty in controlling such complex systems, and require abilities for on-line monitoring, diagnosis, and repair in order to function fully and reliably. |
| Schlagworte: | monitoring, Web services (design, execution), repair (reconfiguration),, semantic web services, diagnosis, design for diagnosability |
| Web Services - DIAgnosability, MONitoring and Diagnosis, WS-Diamond | |
| Beschreibung: | - |
| Schlagworte: | - |
| Kurztitel: | n.a. |
| Zeitraum: | 01.09.2005 - 01.02.2008 |
| Kontakt-Email: | - |
| Homepage: | - |
MitarbeiterInnen
| MitarbeiterInnen | Funktion | Zeitraum |
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| Volodymyr Ivanchenko (intern) |
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| Alexander Felfernig (intern) |
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| Markus Zanker (intern) |
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| Dietmar Jannach (intern) |
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| Horst Pichler (intern) |
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| Gerhard Friedrich (intern) |
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Zuordnung
| Organisationseinheit | ||||
|---|---|---|---|---|
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Fakultät für Technische Wissenschaften
Institut für Artificial Intelligence und Cybersecurity
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Kategorisierung
| Projekttyp | Forschungsförderung (auf Antrag oder Ausschreibung) |
| Förderungstyp | §27 |
| Forschungstyp |
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| Sachgebiete | |
| Forschungscluster | Kein Forschungscluster ausgewählt |
| Genderrelevanz | 0% |
| Projektfokus |
Klassifikationsraster der zugeordneten Organisationseinheiten:
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| Arbeitsgruppen | Keine Arbeitsgruppe ausgewählt |
Kooperationen
| Organisation | Adresse | ||
|---|---|---|---|
Universite de Rennes
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FR - 35065 Rennes |
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Vereniging voor Christelijk Wetenschappelijk Onderwijs
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NL - 1081 HV Amsterdam |
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Universite Paris-Sud
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FR - 91405 Orsay |
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Centre National de la Recherche Scientifique (CNRS)
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FR - 91128 Palaiseau |
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Politecnico di Milano
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IT - 20133 Milano |
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Università degli Studi di Torino
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IT - 10124 Torino |
Forschungsaktivitäten
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| Veranstaltungen | Keine verknüpften Veranstaltung vorhanden |
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