A cloud computing engine resource scheduling method and system based on container technology

Abstract

The application belongs to the technical field of cloud computing, and particularly relates to a cloud computing engine resource scheduling method and system based on container technology, which comprises the following steps: capturing container resource consumption trajectories in real time and identifying business feature states; performing load correlation quantitative evaluation by calculating cross-correlation coefficients and maintaining a correlation matrix; performing scheduling decisions based on dual constraints of physical space bearing capacity and load coupling degree, and introducing a dynamic stability buffer threshold to determine a deployment position; and realizing closed-loop rebalancing adjustment by using a feedback compensation link, which can effectively avoid cluster group resonance effects, improve resource utilization, and guarantee system stability.

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