Key points are not available for this paper at this time.
Cloud computing is a hot topic in the field of research and applications. At present, there has been a lot of attention on cloud security and storage. Two areas in the field of cloud storage are worth mentioning. First, it is the lower layer of the cloud infrastructure which supports the functions of other layers above it. Second, through the cloud infrastructure and utilization of virtualization and distributed computing techniques, resources from server clusters are made available to enhance the data redundancy factor and efficiency for document access. As huge cloud storage facility incurs operating expenses so the question rests upon how to be reasonable and efficiently manage cloud storage, let's say, in a website for shareware download. The authors propose the use of Power-law Distributions and Improved Cubic Spline Interpolation for multi-perspective analysis of shareware download frequency. The tasks include data mining the usage patterns and to build a mathematical model. Through analysis and checks, in accordance with changes to usage requirements, our proposed methods will intelligently adjust the data redundancy of cloud storage. Thus, storage resources are fine tuned and storage efficiency is greatly enhanced.
Deng et al. (Sat,) studied this question.