Cloud computing resource intelligent distribution method and device for complex system simulation application

Abstract

The invention relates to a cloud computing resource intelligent distribution method and device for complex system simulation application. The method comprises the steps of collecting real-time operation information of a complex system simulation application; extracting feature data from the real-time operation information to obtain an operation feature data set of the complex system simulation application; inputting the operation characteristic data set into a trained prediction model, and performing cloud computing resource prediction through the prediction model according to the operation characteristic data set to obtain required cloud computing resources; and allocating cloud computing resources equal to the required cloud computing resources to the complex system simulation application. The application execution performance can be improved.

Description

technical field [0001] The present application relates to the technical field of cloud computing, in particular to a cloud computing resource allocation method, device, computer equipment and storage medium for complex system simulation applications. Background technique [0002] Complex system simulation brings new perspectives to research in economics, society, national defense and other fields. In the field of social research, many limitations of conventional methods can be broken through, such as nonlinear relationships, random problems, and long-term social evolution problems. In terms of combat plan analysis and military decision support, complex system simulation evaluates thousands of combat plans through rapid deduction of the current situation, and can provide auxiliary decision support for the next step of combat decision-making in a short period of time. As the application scale of complex system simulation becomes larger and the interaction between entities bec...

AI Technical Summary

Problems solved by technology

However, if too few computing resources are allocated to complex system simulation applications, it is difficult to support the efficient operation of the application

If too many computing resources are allocated to complex system simulation applications, on the one hand, it will increase the communication load between entities, resulting in a decrease in performance instead of an increase, and on the other hand, it is a waste of computing resources

However, due to the characteristics of distributed sharing and elastic scaling in the cloud computing environment, it is very easy to allocate too many or too few resources when allocating resources, which reduces the application execution performance of complex system simulation applications

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