Model-Based Diagnosability Analysis for Web Services
AI*IA '07 Proceedings of the 10th Congress of the Italian Association for Artificial Intelligence on AI*IA 2007: Artificial Intelligence and Human-Oriented Computing
A framework for decentralized qualitative model-based diagnosis
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Diagnosing Process Trajectories Under Partially Known Behavior
Proceedings of the 2010 conference on ECAI 2010: 19th European Conference on Artificial Intelligence
Exception handling in web service processes
The evolution of conceptual modeling
QoS-based probabilistic fault-diagnosis method for exception handling
ICWL'10 Proceedings of the 2010 international conference on New horizons in web-based learning
Fault tolerant web service orchestration by means of diagnosis
EWSA'06 Proceedings of the Third European conference on Software Architecture
Exception diagnosis in multiagent contract executions
Annals of Mathematics and Artificial Intelligence
COMMODITY12: A smart e-health environment for diabetes management
Journal of Ambient Intelligence and Smart Environments - Design and Deployment of Intelligent Environments
| Hi-index | 0.00 |
Fault management in Web Services composed by individual services from multiple suppliers currently relies on a local analysis, that does not span across individual services, thus limiting the effectiveness of recovery strategies. We propose to address this limitation of current standards for Web Service composition by employing Model-Based Diagnosis to enhance fault analysis. We propose to add Diagnostic Web Services to the set of Web Services providing the overall service, acting as supervisors of their execution, by identifying anomalies and explaining them in terms of faults to be repaired. This approach poses the basis for the development of specialized recovery and compensation techniques aimed at addressing different problems, which could not be otherwise discriminated.