A model for web services discovery with QoS
ACM SIGecom Exchanges
Automatic Measurement of a QoS Metric for Web Service Recommendation
ASWEC '05 Proceedings of the 2005 Australian conference on Software Engineering
QoS Metrics for Evaluating Services from the Perspective of Service Providers
ICEBE '07 Proceedings of the IEEE International Conference on e-Business Engineering
A Semantic QoS-based Web Service Discovery Algorithm for Over-Constrained Demands
NWESP '07 Proceedings of the Third International Conference on Next Generation Web Services Practices
An Extensible Computing Model for Reputation Evaluation Based on Objective and Automatic Feedbacks
ALPIT '08 Proceedings of the 2008 International Conference on Advanced Language Processing and Web Information Technology
Research on SOA-Based Applications Based on AOP and Web Services
ICCEE '08 Proceedings of the 2008 International Conference on Computer and Electrical Engineering
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Quality of Service (QoS) is an important factor during service composition and recommendation. Since static QoS data cannot reflect the real-time performance of Web Service (WS), a mechanism is needed to collect the dynamic QoS data. Also, QoS query result is determined by the QoS data stored by service registry. Consequently, it is also necessary to use an efficient and accurate feedback method to calculate and send those dynamic QoS data to the service registry. In this paper, we propose a QoS feedback model based on objective QoS metrics using some simple statistical theories and a dynamic queue as a data pool to cache all runtime status. Moreover, error determination and sampling feedback have been taken into consideration so that service provider assigns less hardware resource and avoids disturbing feedback result from unfriendly exception. By carrying out experiments, it demonstrates that this feedback model evaluates the WS performance better than other common methods. This model provides QoS metrics that are easy to rank and sensitive to the status change.