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From the paper by Deguang You et al. a novel approach for CPU load prediction of cloud server combining denoising and mistake correction was proposed. Within this new approach, filtering followed by recombining noise sign right before prediction and mistake correction after prediction is the two most significant techniques. For your filtering and recombining of sound sign right before prediction, CEEMDAN is accustomed to decompose the initial signal into a number of IMF components, screened the productive IMF, and recombined them with Fréchet calculation.
The main paper by Weiwei Lin et al. proposes a novel workload-conscious electric power measuring framework. We very first introduce different electricity intake designs for different workload kinds dependent on their own impacts on server factors.
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