Resource Allocation

Resource allocation research focuses on optimizing the distribution of limited resources—computational power, bandwidth, energy—to maximize efficiency and fairness across diverse applications. Current research emphasizes developing sophisticated algorithms, including deep reinforcement learning, graph neural networks, and dynamic programming, to address complex, real-time resource allocation problems in areas like federated learning, edge computing, and wireless networks. These advancements are crucial for improving the performance and scalability of various systems, from mobile communications to large-scale AI training, and for ensuring equitable access to resources.

Papers

April 19, 2023

April 18, 2023

Joint Age-based Client Selection and Resource Allocation for Communication-Efficient Federated Learning over NOMA Networks
Bibo Wu, Fang Fang, Xianbin Wang
Resource Allocation Client Selection Joint Optimization Joint Framework Non Orthogonal Multiple Access

April 17, 2023

Reclaimer: A Reinforcement Learning Approach to Dynamic Resource Allocation for Cloud Microservices
Quintin Fettes, Avinash Karanth, Razvan Bunescu, Brandon Beckwith, Sreenivas Subramoney
Deep Reinforcement Learning Resource Allocation Reinforcement Learning Approach Microservice Architecture

April 10, 2023

RAPID: Enabling Fast Online Policy Learning in Dynamic Public Cloud Environments
Drew Penney, Bin Li, Lizhong Chen, Jaroslaw J. Sydir, Anna Drewek-Ossowicka, Ramesh Illikkal, Charlie Tai, Ravi Iyer, Andrew Herdrich
Resource Allocation Learning Based Resource Allocation Cloud Workload Resource Contention Public Cloud

March 25, 2023

February 27, 2023

Dynamic Resource Allocation for Metaverse Applications with Deep Reinforcement Learning
Nam H. Chu, Diep N. Nguyen, Dinh Thai Hoang, Khoa T. Phan, Eryk Dutkiewicz, Dusit Niyato, Tao Shu
Deep Reinforcement Learning Resource Allocation Metaverse Application Metaverse Service

February 10, 2023

Near-Optimal Experimental Design Under the Budget Constraint in Online Platforms
Yongkang Guo, Yuan Yuan, Jinshan Zhang, Yuqing Kong, Zhihua Zhu, Zheng Cai
Resource Allocation Experimental Design Budget Constraint Optimal Experimental Design Online Platform

February 6, 2023

Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation
Aditya Mate, Bryan Wilder, Aparna Taneja, Milind Tambe
Resource Allocation Policy Evaluation Randomized Controlled Trial Unbiased Prediction Allocation Policy

February 1, 2023

Task Placement and Resource Allocation for Edge Machine Learning: A GNN-based Multi-Agent Reinforcement Learning Paradigm
Yihong Li, Xiaoxi Zhang, Tianyu Zeng, Jingpu Duan, Chuan Wu, Di Wu, Xu Chen
Machine Learning Multi Agent Reinforcement Learning Resource Allocation Edge Computing Global Placement Edge Server Scheduling

January 23, 2023

Resource Allocation with Stability Constraints of an Edge-cloud controlled AGV
Shreya Tayade, Peter Rost, Andreas Maeder, Hans Schotten
Resource Allocation Closed Loop Edge Cloud Stability Constraint Guided Vehicle

January 20, 2023

Flex-Net: A Graph Neural Network Approach to Resource Management in Flexible Duplex Networks
Tharaka Perera, Saman Atapattu, Yuting Fang, Prathapasinghe Dharmawansa, Jamie Evans
Graph Neural Network Resource Allocation Resource Management Full Duplex Pairwise Alignment Rate Maximization

January 9, 2023

Platoon Leader Selection, User Association and Resource Allocation on a C-V2X based highway: A Reinforcement Learning Approach
Mohammad Farzanullah, Tho Le-Ngoc
Resource Allocation Reinforcement Learning Approach USER Provided Name Platoon Control Power Allocation Highway Driving Vehicle to Vehicle Vehicle to Everything

January 2, 2023

Fairness Guaranteed and Auction-based x-haul and Cloud Resource Allocation in Multi-tenant O-RANs
Sourav Mondal, Marco Ruffini
Procedural Fairness Resource Allocation Open Radio Access Network Auction Based RAN Architecture Passive Optical Network Network Function

December 13, 2022

Interactive Learning with Pricing for Optimal and Stable Allocations in Markets
Yigit Efe Erginbas, Soham Phade, Kannan Ramchandran
Large Scale Resource Allocation Collaborative Filtering Curious Price Sub Linear Regret Interactive Learning Market Analysis Combinatorial Bandit Stable Payoff Allocation

December 4, 2022

Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results
Nathanael Jo, Bill Tang, Kathryn Dullerud, Sina Aghaei, Eric Rice, Phebe Vayanos
Procedural Fairness Resource Allocation Metric Library Fairness Metric Fairness Property Self Compatibility Allocation Policy

November 30, 2022

The Cost of Learning: Efficiency vs. Efficacy of Learning-Based RRM for 6G
Seyyidahmed Lahmer, Federico Chiariotti, Andrea Zanella
LeArning Abstract Deep Reinforcement Learning High Efficiency Resource Allocation Hidden CoST Balancing Strategy Resource Optimization Enhanced RRT

November 28, 2022

Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing
Hao Zhou, Shaoming Li, Guibin Jiang, Jiaqi Zheng, Dong Wang
Machine Learning Resource Allocation Treatment Assignment Heterogeneous Causal

November 16, 2022

Resource Allocation of Federated Learning for the Metaverse with Mobile Augmented Reality
Xinyu Zhou, Chang Liu, Jun Zhao
Resource Allocation Augmented Reality Convergence Analysis Ubiquitous Semantic Metaverse Non Convex Optimization Problem

Resource Allocation

Papers

Learning policies for resource allocation in business processes

Learning Resource Scheduling with High Priority Users using Deep Deterministic Policy Gradients

Joint Age-based Client Selection and Resource Allocation for Communication-Efficient Federated Learning over NOMA Networks

Reclaimer: A Reinforcement Learning Approach to Dynamic Resource Allocation for Cloud Microservices

RAPID: Enabling Fast Online Policy Learning in Dynamic Public Cloud Environments

Intelligent Load Balancing and Resource Allocation in O-RAN: A Multi-Agent Multi-Armed Bandit Approach

Hierarchical Multi-Agent Multi-Armed Bandit for Resource Allocation in Multi-LEO Satellite Constellation Networks

Dynamic Resource Allocation for Metaverse Applications with Deep Reinforcement Learning

Near-Optimal Experimental Design Under the Budget Constraint in Online Platforms

Improved Policy Evaluation for Randomized Trials of Algorithmic Resource Allocation

Task Placement and Resource Allocation for Edge Machine Learning: A GNN-based Multi-Agent Reinforcement Learning Paradigm

Resource Allocation with Stability Constraints of an Edge-cloud controlled AGV

Flex-Net: A Graph Neural Network Approach to Resource Management in Flexible Duplex Networks

Platoon Leader Selection, User Association and Resource Allocation on a C-V2X based highway: A Reinforcement Learning Approach

Fairness Guaranteed and Auction-based x-haul and Cloud Resource Allocation in Multi-tenant O-RANs

Interactive Learning with Pricing for Optimal and Stable Allocations in Markets

Fairness in Contextual Resource Allocation Systems: Metrics and Incompatibility Results

The Cost of Learning: Efficiency vs. Efficacy of Learning-Based RRM for 6G

Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing

Resource Allocation of Federated Learning for the Metaverse with Mobile Augmented Reality