The Vision of Autonomic Computing
Computer
MonitoringWeb Service Networks in a Model-based Approach
ECOWS '05 Proceedings of the Third European Conference on Web Services
A QoS-Oriented Reconfigurable Middleware for Self-Healing Web Services
ICWS '08 Proceedings of the 2008 IEEE International Conference on Web Services
Adding self-healing behaviour to dynamic web service composition
DNCOCO'06 Proceedings of the 5th WSEAS international conference on Data networks, communications and computers
Fault tolerant web service orchestration by means of diagnosis
EWSA'06 Proceedings of the Third European conference on Software Architecture
A policy-based approach for strong mobility of composed Web services
Service Oriented Computing and Applications
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Runtime performance evaluation is necessary for the continuous QoS (Quality of Service) management of Web service-based applications. The analysis is critical in service provisioning since it allows to detect QoS degradation and to identify its source. However, performance analysis in current applications is usually based on QoS reference values that are manually instrumented and pre-established independently from the execution context. It is inflexible to change. The paper extends our previous research on performance evaluation within a self-healing framework and proposes a novel analysis approach based on automatic generation of QoS reference values. These QoS reference values are generated whenever we start the application execution in a new context. This approach enables the detection of QoS degradation, the identification of its nature (like execution or communication level) and the localization of its cause (as scalability issue, node failure or network overload). The carried out experiments show that the dynamic generated QoS reference values are suitable and their associated analysis results are accurate.