A tutorial on hidden Markov models and selected applications in speech recognition
Readings in speech recognition
QoS Aggregation for Web Service Composition using Workflow Patterns
EDOC '04 Proceedings of the Enterprise Distributed Object Computing Conference, Eighth IEEE International
A probabilistic approach to modeling and estimating the QoS of web-services-based workflows
Information Sciences: an International Journal
Probabilistic QoS and Soft Contracts for Transaction-Based Web Services Orchestrations
IEEE Transactions on Services Computing
A Probabilistic Approach to Service Selection with Conditional Contracts and Usage Patterns
ICSOC-ServiceWave '09 Proceedings of the 7th International Joint Conference on Service-Oriented Computing
ESOCC'12 Proceedings of the First European conference on Service-Oriented and Cloud Computing
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Quality of Service (QoS) prediction and aggregation for composite services is one of the key issues in service computing. Existing solutions model service QoSs either as deterministic values or probabilistic distributions. However, these works overlooked an important aspect in QoS modeling, time. Most QoS metrics, such as response time, availability, are time-dependent. We believe time variation should be explicitly reflected in QoS modeling as well as aggregation. In this paper, we propose a dynamic web service QoS model to capture the time based QoS patterns, based on which QoS of composite services are aggregated.