Abstract:

In this paper, we study QoS-aware cloud service composition based on time series, taking the sustaining change process of service QoS preference into research scope of cloud service composition,and transform the composition of cloud services into similarity comparison problems between time series.Euclidean distance and the extend Frobenius norm distance are used to measure similarity between two-dimensional time series respectively. In the next,the extend Frobenius norm distance or Euclidean distance based on principal component analysis and BruteForce method are adopted to measure the similarity between multidimensional time series. Experiments show that the extend Frobenius norm distance has better performance on similarity measurement in time and accuracy.

Key words: time series;QoS;cloud service composition;similarity comparison