Cover Image

Adaptive Two-Stage Cloud Resource Scaling via Hierarchical Multi-Indicator Forecasting and Bayesian Decision-Making

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Luo, Yang, Wang, Shiyu, Yu, Zhemeng, Lu, Wei, Gao, Xiaofeng, Ma, Lintao, Chen, Guihai
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Responsive DNN Adaptation for Video Analytics against Environment Shift via Hierarchical Mobile-Cloud Collaborations
by: Zhao, Maozhe, et al.
Published: (2025)

Cloud Layer and Precipitation Forecasting via Multi‐Scale Gated Temporal and Spatial Attention Network
by: Jiabing Liu, et al.
Published: (2025)

PAF-Net: Phase-Aligned Frequency Decoupling Network for Multi-Process Manufacturing Quality Prediction
by: Luo, Yang, et al.
Published: (2025)

Intelligent Decision‐Making System of Air Defense Resource Allocation via Hierarchical Reinforcement Learning
by: Minrui Zhao, et al.
Published: (2024)

Delta: A Cloud-assisted Data Enrichment Framework for On-Device Continual Learning
by: Gong, Chen, et al.
Published: (2024)

Synergizing Decision Making and Trajectory Planning Using Two-Stage Optimization for Autonomous Vehicles
by: Liu, Wenru, et al.
Published: (2024)

TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting
by: Wang, Shiyu, et al.
Published: (2024)

Online Ensemble Transformer for Accurate Cloud Workload Forecasting in Predictive Auto-Scaling
by: Chen, Jiadong, et al.
Published: (2025)

End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation
by: Wang, Shiyu, et al.
Published: (2022)

Hierarchical Decision-Making in Population Games
by: Chen, Yu-Wen, et al.
Published: (2025)

iTransformer: Inverted Transformers Are Effective for Time Series Forecasting
by: Liu, Yong, et al.
Published: (2023)

Symmetry-Preserving Architecture for Multi-NUMA Environments (SPANE): A Deep Reinforcement Learning Approach for Dynamic VM Scheduling
by: Chan, Tin Ping, et al.
Published: (2025)

Collaborative Multi-Agent Reinforcement Learning Approach for Elastic Cloud Resource Scaling
by: Fang, Bruce, et al.
Published: (2025)

A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment
by: Yang, Zhengchao, et al.
Published: (2024)

Learning Instance-Aware Correspondences for Robust Multi-Instance Point Cloud Registration in Cluttered Scenes
by: Yu, Zhiyuan, et al.
Published: (2024)

Multiscale Representation Enhanced Temporal Flow Fusion Model for Long-Term Workload Forecasting
by: Wang, Shiyu, et al.
Published: (2024)

Individualized and Interpretable Sleep Forecasting via a Two-Stage Adaptive Spatial-Temporal Model
by: Wang, Xueyi, et al.
Published: (2025)

Learning Generalizable and Efficient Image Watermarking via Hierarchical Two-Stage Optimization
by: Liu, Ke, et al.
Published: (2025)

EEG-MedRAG: Enhancing EEG-based Clinical Decision-Making via Hierarchical Hypergraph Retrieval-Augmented Generation
by: Wang, Yi, et al.
Published: (2025)

Hierarchical Image-Guided 3D Point Cloud Segmentation in Industrial Scenes via Multi-View Bayesian Fusion
by: Zhu, Yu, et al.
Published: (2025)

Hardware Implementation of Bayesian Decision‐Making with Memristors
by: Lekai Song, et al.
Published: (2025)

Hierarchical Forecasting at Scale
by: Sprangers, Olivier, et al.
Published: (2023)

DiffusionTrack: Diffusion Model For Multi-Object Tracking
by: Luo, Run, et al.
Published: (2023)

Nova: Real-Time Agentic Vision-Language Model Serving with Adaptive Cross-Stage Parallelization
by: Xu, Yuhang, et al.
Published: (2025)

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model
by: Xin, Zewei, et al.
Published: (2024)

Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning
by: Hu, Zican, et al.
Published: (2025)

Hierarchical Game-Based Multi-Agent Decision-Making for Autonomous Vehicles
by: Liu, Mushuang, et al.
Published: (2025)

A Robust Fault Detection Filter for Linear Time-Varying System with Non-Gaussian Noise
by: Zhang, Zhemeng, et al.
Published: (2025)

State‐Adaptive Personalized Actor–Critic for Human‐Centric Decision Path Optimization in Industrial IoT Systems
by: Hongyu Guo, et al.
Published: (2026)

QTMRL: An Agent for Quantitative Trading Decision-Making Based on Multi-Indicator Guided Reinforcement Learning
by: Pan, Jingfeng, et al.
Published: (2025)

Act as You Learn: Adaptive Decision-Making in Non-Stationary Markov Decision Processes
by: Luo, Baiting, et al.
Published: (2024)

Bayesian Decision Making around Experts
by: Ornia, Daniel Jarne, et al.
Published: (2025)

MAFE: Enabling Equitable Algorithm Design in Multi-Agent Multi-Stage Decision-Making Systems
by: Lazri, Zachary McBride, et al.
Published: (2025)

Hierarchical Multi-field Representations for Two-Stage E-commerce Retrieval
by: Freymuth, Niklas, et al.
Published: (2025)

Bi-Level Decision-Focused Causal Learning for Large-Scale Marketing Optimization: Bridging Observational and Experimental Data
by: Zhang, Shuli, et al.
Published: (2025)

Robust Decision Making with Partially Calibrated Forecasts
by: Kiyani, Shayan, et al.
Published: (2025)

Towards Hierarchical Multi-Agent Decision-Making for Uncertainty-Aware EV Charging
by: Ting, Lo Pang-Yun, et al.
Published: (2024)

A Comparison of Two Methods for Adaptive Multi‐Arm Two‐Stage Design
by: Cyrus Mehta, et al.
Published: (2025)

TFR: A Temporal Feature‐Refined Multi‐Stage Carbon Price Forecasting
by: Yang Zhou, et al.
Published: (2024)

Learning to Plan, Planning to Learn: Adaptive Hierarchical RL-MPC for Sample-Efficient Decision Making
by: Hori, Toshiaki, et al.
Published: (2025)