Intelligent Elastic Scheduling Algorithms for PaaS Cloud Platform Based on Load Prediction

摘要

According to the historical load data of PaaS cloud platform, a resource scheduling prediction model is established, and the periodic and non-periodic laws of load are analyzed. A combined forecasting model based on Fourier and Markov chains is proposed to realize intelligent forecasting of resource scheduling, which can realize load forecasting based on historical running data and intelligent scalable scheduling of PaaS cloud platform.