The open source Solver AI for Java and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.

Get started with Timefold quickstarts here. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.

Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep Deterministic Policy Gradient (DDPG) to determine the resources allocation (offload targets, computational resources, migration bandwidth) in the edge servers

Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JSA 2022.

HPC Resource Allocation System

This is a paper list about Resource Allocation in Network Functions Virtualization (NFV) and Software-Defined Networking (SDN).

Vue3 Gantt chart with powerful Resource View for task scheduling and resource planning.

Managing Kubernetes Quota with confidence

The first unofficial implementation of a paper with the title of "UAV Trajectory Planning for Data Collection from Time-Constrained IoT Devices" (IEEE Transactions on Wireless Communications 2019)

云边协同- collaborative inference📚工作汇总 📚 Collaborative Inference Work Summary

Agent-based modelling for resource allocation in viral crises to investigate resource allocation and policy interventions with respect to transmission rate.

Machine Learning for Dynamic Resource Allocation in Network Function Virtualization

WCSP：（1）Joint Uplink and Downlink Resource Allocation for D2D Communications Underlying Cellular Networks

A TensorFlow implementation for a downlink NOMA resource-allocation problem: optimizing transmit power to maximize sum rate using DQN (Caveats! Dirty Code!!)

Joint Task Offloading and Radio Resource Management in Stochastic MEC Systems, IEEE Transactions on Communications, 2024

A TensorFlow attempt to reimplement the IEEE VTC2023-Spring paper “Deep Reinforcement Learning-Based Resource Allocation for Cellular V2X Communications”

Code for our paper on doing resource allocation with graph neural networks

Paper Code for TVT: Resource allocation for semantic communication network

Mission Critical Advanced Scheduling (ALAP/ASAP) System | Minute-level accuracy for resource allocation and dependency management. Best for capacity-modeling, duration-estimation, slot-computation, tick-dispatch, quota-enforcement and order-timing

Project regarding Resource allocation using RL