QoS-aware cloud service composition using time series

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.