A Dynamic Interval Auto-Scaling Optimization Method Based on Informer Time Series Prediction
With the rapid development and application of container cloud computing-related technologies, more and more applications are being deployed to container cloud clusters. As an essential feature of container cloud platforms and cloud-native architecture, auto-scaling aims to automatically and quickly...
Saved in:
Main Authors: | Yu Ding, Chenhao Li, Zhengong Cai, Xinghao Wang, Bowei Yang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/10786189/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Statistical analysis of time series with scaling indices
by: Harald Atmnaspacher, et al.
Published: (2000-01-01) -
Introductory Auto Mechanics /
by: Wheeler, Karwatka Van De Polder
Published: (1987) -
Rats and mice rapidly update timed behaviors
by: N. Aggadi, et al.
Published: (2025-01-01) -
Ensemble graph auto-encoders for clustering and link prediction
by: Chengxin Xie, et al.
Published: (2025-01-01) -
Aggregated Time Series Features in a Voxel-Based Network Architecture
by: Zsolt Vincze, et al.
Published: (2025-01-01)