Intelligent Dynamic Multi-Dimensional Heterogeneous Resource Scheduling Optimization Strategy Based on Kubernetes

Intelligent Dynamic Multi-Dimensional Heterogeneous Resource Scheduling Optimization Strategy Based on Kubernetes

In this paper, we tackle the challenge of optimizing resource utilization and demand-driven allocation in dynamic, multi-dimensional heterogeneous environments. Traditional containerized task scheduling systems, like Kubernetes, typically rely on default schedulers that primarily focus on CPU and me...

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Bibliographic Details
Main Authors: Jialin Cai, Hui Zeng, Feifei Liu, Junming Chen
Format: Article
Language:English
Published: MDPI AG 2025-04-01
Series:Mathematics
Subjects:
Kubernetes
TOPSIS algorithm
digital dynamics
heterogeneous resource
Online Access:https://www.mdpi.com/2227-7390/13/8/1342
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