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• W2034135835 abstract "Service composition is an emerging technology in System of Systems Engineering (SoS Engineering or SoSE), which aims to construct a robust and value-added complex system by outsourcing external component systems. A serviceoriented SoS runs under a dynamic and uncertain environment. To assure the overall Quality of Service (QoS), online reliability time series prediction, which aims to predict the reliability in near future for service-oriented SoS arises as a grand challenge in SoS research. In this paper, we tackle the prediction challenge by exploiting two Markov independence assumptions resulted from the special system dynamics of a SoS environment. A novel motifs-based Dynamic Bayesian Networks model is proposed that supports the independence assumptions. Experimental results conducted on real Web services demonstrate the effectiveness of our approach." @default.
• W2034135835 created "2016-06-24" @default.
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• W2034135835 date "2014-06-01" @default.
• W2034135835 modified "2023-10-18" @default.
• W2034135835 title "A Novel Online Reliability Prediction Approach for Service-Oriented Systems" @default.
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• W2034135835 doi "https://doi.org/10.1109/icws.2014.87" @default.
• W2034135835 hasPublicationYear "2014" @default.
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