Applications of wavelet analysis to cloud computing and big data: Status and prospects
He-Jun Jiao, Jianping Li, Qun-Li Zhao, Jian Li · 2016
In this paper, wavelet analysis methods, mainly including wavelet basis function, continuous and discrete wavelet transform and multiresolution analysis were introduced first. Then, current applications of the wavelet analysis methods to various aspects of cloud computing and big data were summarized. The three aspects of wavelet-based analysis include: The application of wavelet denoising, the online monitoring for image and the image watermarking algorithm design in cloud computing. For big data, we discuss from two aspects: The function approximation ability and the image processing in big data, several suggestions and opinions on the future researches and applications of wavelet analysis methods in cloud computing and big data were discussed.