A Time Series-Based Approach to Elastic Kubernetes Scaling
With the increasing popularity of cloud-native architectures and containerized applications, Kubernetes has become a critical platform for managing these applications. However, Kubernetes still faces challenges when it comes to resource management. Specifically, the platform cannot achieve timely sc...
Main Authors: | Haibin Yuan, Shengchen Liao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-01-01
|
Series: | Electronics |
Subjects: | |
Online Access: | https://www.mdpi.com/2079-9292/13/2/285 |
Similar Items
-
Proactive automatic up-scaling for Kubernetes
by: D. Gutman, et al.
Published: (2023-05-01) -
Theoretical and Applied in Automating Kubernetes Resources
by: Pavel-Cristian CRACIUN, et al.
Published: (2023-01-01) -
Toward Optimal Load Prediction and Customizable Autoscaling Scheme for Kubernetes
by: Subrota Kumar Mondal, et al.
Published: (2023-06-01) -
Autoscaling Pods on an On-Premise Kubernetes Infrastructure QoS-Aware
by: Lluis Mas Ruiz, et al.
Published: (2022-01-01) -
Deep Learning-Based Autoscaling Using Bidirectional Long Short-Term Memory for Kubernetes
by: Nhat-Minh Dang-Quang, et al.
Published: (2021-04-01)