Abstract
Cloud service composition is usually long term based and economically driven. We propose to use multi-dimensional Time Series to represent the economic models during composition. Cloud service composition problem is then modeled as a similarity search problem. Next, a novel correlation-based search algorithm is proposed. Finally, experiments and their results are presented to show the performance of the proposed composition approach.
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Ye, Z., Bouguettaya, A., Zhou, X. (2013). QoS-Aware Cloud Service Composition Using Time Series. In: Basu, S., Pautasso, C., Zhang, L., Fu, X. (eds) Service-Oriented Computing. ICSOC 2013. Lecture Notes in Computer Science, vol 8274. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45005-1_2
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DOI: https://doi.org/10.1007/978-3-642-45005-1_2
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