Abstract
A Service-Oriented System of System (or SoS) considers system as a service and constructs a value-added SoS by outsourcing external systems through service composition. To cope with the dynamic and uncertain running environment and assure the overall Quality of Service (or QoS), online reliability prediction for SoS arises as a grand challenge in SoS research. In this paper, we propose a novel approach for component level online reliability time series prediction based on Probabilistic Graphical Models (or PGMs). We assess the proposed approach via invocation records collected from widely used real web services and experiment results demonstrate the effectiveness of our approach. © 2013 Springer-Verlag.
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CITATION STYLE
Wang, L., Wang, H., Yu, Q., Sun, H., & Bouguettaya, A. (2013). Online reliability time series prediction for service-oriented system of systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8274 LNCS, pp. 421–428). https://doi.org/10.1007/978-3-642-45005-1_30
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