Resource Self-adaptive Allocation Method Based on Mixed Prediction Cloud Platform

Provided by: Science & Engineering Research Support soCiety (SERSC)
Topic: Cloud
Format: PDF
There are some problems in the existing cloud platform resource allocation methods, such as low rates of resource utilization and the lack of accurate prediction of the trend changes of resources, etc. To solve these problems, MPRA (Mixed Prediction based Resource Allocation) was proposed. According to the periodic and non-periodic characteristics of service resources demand, MPRA first adopts FFT (Fast Fourier Transform) to judge the periodic characteristics. For resource allocation without periodic characteristics, it uses Markov process to predict and obtains the higher resource utilization and prediction accuracy, thus, to ensure the user experience.

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