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Web Services - DIAgnosability, MONitoring and Diagnosis

Objective

Self-healing software is one of the challenges for IST research. This project aims to take a step in this direction by developing a framework for self-healing Web Services.The project will produce:
-an operational 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 and tools for service design that guarantee 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 that occurred in the last decade has reached sufficient foundational advances to make the proposed research feasible.

The research is important because the Web Services technology has a tremendous potential for the creation of complex services to support e-commerce and human activities, creating networks of co-operating e-services. 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.

Field of science

  • /natural sciences/computer and information sciences/internet/semantic web

Funding Scheme

STREP - Specific Targeted Research Project

Coordinator

UNIVERSITA DEGLI STUDI DI TORINO
Address
Corso Svizzera 185
10149 Torino
Italy

Participants (6)

CENTRE NATIONAL DE LA RECHERCHE SCIENTIFIQUE
France
Address
Avenue Du Colonel Roche, 7
31077 Toulouse
POLITECNICO DI MILANO
Italy
Address
Piazza Leonardo Da Vinci 32
Milano
UNIVERSITAET KLAGENFURT
Austria
UNIVERSITE DE RENNES 1
France
Address
Campus Universitaire De Beaulieu
35042 Rennes
UNIVERSITE PARIS-SUD
France
Address
Rue Georges Clemenceau 15
91405 Orsay
VERENIGING VOOR CHRISTELIJK WETENSCHAPPELIJK ONDERWIJS
Netherlands
Address
Boelelaan 1081A
1081HV Amsterdam