A modeling method, device, equipment and medium for resource scheduling model

By integrating the Pod node affinity objective function and the resource loss rate objective function in the resource scheduling model, and adopting the Pareto optimal cutting-edge method, the problems of low resource utilization and high resource loss rate are solved, and efficient resource utilization is achieved.

CN118672745BActive Publication Date: 2025-03-25LINEWELL SOFTWARE
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Patent Information

Application Number
CN202410714611.6
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2024-06-04
Publication Date
2025-03-25
Estimated Expiration
2044-06-04

AI Technical Summary

Technical Problem

The existing resource scheduling system has the problem of low resource utilization in multiple target optimizations such as task execution time, resource usage, resource sharing, resource utilization, and system throughput, especially due to resource fragmentation, the resource loss rate is high.

Method used

By integrating the Pod node affinity objective function and the resource loss rate objective function in the resource scheduling model, and using a Pareto optimal frontier method to optimize resource allocation, a resource scheduling model is built to improve resource utilization.

Benefits of technology

This method can reduce resource fragmentation during resource allocation and reduce resource loss rate, thereby improving resource utilization and achieving more efficient utilization of resources.

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Abstract

The present invention provides a modeling method, device, equipment and medium of a resource scheduling model, including mapping all K8s Pod sets required for resource scheduling tasks to a set of working nodes, thereby constructing a target strategy matrix; constructing a Pod node affinity objective function according to the target strategy matrix, and constructing a resource loss rate objective function; adopting a Pareto optimal frontier to fuse the Pod node affinity objective function and the resource loss rate objective function, thereby constructing a resource scheduling model. The advantages of the present invention: by adopting a Pareto optimal frontier to fuse the two evaluation indicators of the Pod node affinity objective function and the resource loss rate objective function, thereby constructing a resource scheduling model, it is beneficial to optimize resource utilization to improve resource utilization.
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