A state monitoring method for cloud storage system based on compression perception
Feng Keng Zhangliangliang Shen Ye Liang
In order to solve the contradiction between high precision and large scale in the large-scale state monitoring data processing, using the compression perception processing wideband signal is superior to the Nyquist sampling law, a new method for measuring the state of the cloud storage system is proposed Sdcs. Based on the classical matching and tracking MP algorithm, this method can be used to measure the sparse signal with DC component and to ensure that the original reconstruction algorithm still satisfies the improved objective function by increasing the Bernoulli matrix row and zero constraint condition.
A state monitoring method for cloud storage system based on compression perception
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