Fernandovj / RLbased_tasks_scheduler_vehicular_networks
Task Scheduler based on Reinforcement Learning (RL) that allocates re-routing computation into the appropriate network element (edge nodes or cloud) aimed to reduce reponse time.
☆18Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for RLbased_tasks_scheduler_vehicular_networks
- zamaniali1995 / A-Novel-Approach-for-Service-Function-Chain-SFC-Mapping-with-Multiple-SFC-instances-paperThis code simulate effect of using edge computing for NFV.☆11Updated 4 years ago
- This project simulates deployment and migration of Service Function Chains (SFC) in data-centers.☆30Updated 2 months ago
- Deep Q Network model for two stage resource provisioning and task scheduling for Cloud computing☆70Updated 4 years ago
- ☆11Updated 3 years ago
- Zuox99 / Deep-Reinforcement-Learning-Based-Resource-Provisioning-and-Task-Scheduling-for-Cloud-Service-ProvidProject: Deep Reinforcement Learning Based Resource Provisioning and Task Scheduling for Cloud Service Providers☆50Updated 4 years ago
- ☆39Updated 3 years ago
- Deep Neural Network for Computation Rate Maximization in Wireless Powered Mobile-Edge Computing System☆50Updated 5 years ago
- Three Agent-Based Simulation for Edge Computing in 5G and Beyond for the recent paper titled "Design and Simulation of a Hybrid Architect…☆17Updated 3 years ago
- Derfei / Dependency-Aware-Computation-Offloading-for-Mobile-Edge-Computing-with-Edge-Cloud-CooperationThe code for paper titled "Dependency-Aware-Computation-Offloading-for-Mobile-Edge-Computing-with-Edge-Cloud-Cooperation"☆59Updated 4 years ago
- Repository for the ns3 implementation of enhanced Q-routing with QoS☆17Updated 4 years ago
- This is the JAVA code of algorithm ROSA, and the corresponding paper is published by IEEE Trans. on Services Computing. The title of the …☆18Updated 6 years ago
- Code for paper "Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process"☆57Updated 4 years ago
- 研究生论文☆13Updated 6 years ago
- This project is the implementation of the research paper titled "Dynamic Request Scheduling Optimization in Mobile Edge Computing for IoT…☆79Updated 3 years ago
- MEC，Edge service, Edge Application, Service Computing.☆58Updated 2 years ago
- ☆16Updated 3 years ago
- Some classical edge server placement algorithms are implemented.☆22Updated 2 years ago
- We open sourced the code of our team’s paper ‘Q-learning based Dynamic task scheduling for energy efficient cloud computing’, so as to fa…☆19Updated 3 years ago
- Q-learning Based Routing Protocol for Vehicular Ad Hoc Networks☆21Updated 8 years ago
- Research project on Resource-elastic tasks for edge cloud computing☆11Updated 3 years ago
- This repository contains the implementation codes of deep reinforcement learning (DRL) in user association and resource allocation in het…☆62Updated 4 years ago
- DQN for 5G RAN Slicing☆13Updated 3 years ago
- Implementation of submitted papers about Mobile Edge Computing (MEC).☆51Updated 6 years ago
- A semi-online Computational Offloading Model, which utilizes users’ behavior prediction method to optimize task offloading in edge comput…☆69Updated 3 years ago
- ☆24Updated 4 years ago
- Edge computing☆30Updated 5 years ago
- ☆24Updated last year
- 一个基于图神经网络的强化学习网络资源分配模型☆24Updated 2 years ago
- data routing and caching with DRL in vehicular network☆19Updated 4 years ago