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. © 2013 Springer-Verlag.
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CITATION STYLE
Ye, Z., Bouguettaya, A., & Zhou, X. (2013). QoS-aware cloud service composition using time series. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8274 LNCS, pp. 9–22). https://doi.org/10.1007/978-3-642-45005-1_2
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