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...
Saved in:
| Main Authors: | Jialin Cai, Hui Zeng, Feifei Liu, Junming Chen |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-04-01
|
| Series: | Mathematics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2227-7390/13/8/1342 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Q8S: Emulation of Heterogeneous Kubernetes Clusters Using QEMU
by: Jonathan Decker, et al.
Published: (2025-05-01) -
Containerizing solution based on Kubernetes of database and its cluster
by: Liyun YAN, et al.
Published: (2018-12-01) -
Efficient Orchestration of Distributed Workloads in Multi-Region Kubernetes Cluster
by: Radoslav Furnadzhiev, et al.
Published: (2025-03-01) -
Security Hardening and Compliance Assessment of Kubernetes Control Plane and Workloads
by: Zlatan Morić, et al.
Published: (2025-06-01) -
Implement HPA for Nginx Service Using Custom Metrics Under Kubernetes Framework
by: Hanlin Zhou, et al.
Published: (2024-01-01)