xiangni / DREAM
Deep reinforcement learning for REsource Allocation in streaM processing
☆28Updated last year
Alternatives and similar repositories for DREAM:
Users that are interested in DREAM are comparing it to the libraries listed below
- Implement job scheduling based on REINFORCE and Graph Embedding.☆18Updated 4 years ago
- ☆44Updated 4 years ago
- NFVdeep: Deep Reinforcement Learning for Online Orchestration of Service Function Chains☆58Updated 2 years ago
- An implementation of Deep Reinforcement Learning for Multi-Resource Multi-Machine Job Scheduling☆33Updated 4 years ago
- MEC,Edge service, Edge Application, Service Computing.☆59Updated 2 years ago
- ☆88Updated last year
- ☆17Updated 5 years ago
- [IJCAI'24 - FlagVNE] Implementation of our paper "FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Reso…☆20Updated last year
- Deep Q Network model for two stage resource provisioning and task scheduling for Cloud computing☆77Updated 4 years ago
- Virtual Network Function placement optimization with Deep Reinforcement Learning☆70Updated last year
- ☆19Updated 10 months ago
- A real-time workflow scheduling system in a cloud computing environment with a deep reinforcement learning approach☆24Updated 2 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☆53Updated 4 years ago
- Course project of SJTU EE357: Computer Network, advised by Prof. Na Ruan. We implemented and improved "A Hierarchical Framework of Cloud …☆35Updated 5 years ago
- Resource Management with DeepRL using TF Agents☆12Updated 4 years ago
- [ICC'21 - DRL-SFCP] Implementation of our paper "DRL-SFCP: Adaptive Service Function Chains Placement with Deep Reinforcement Learning", …☆32Updated 3 weeks ago
- [TMC'20] Deep Learning based Scheduler for Stochastic Fog-Cloud computing environments☆110Updated 2 years ago
- Distributed deep learning cluster simulation environment and RL-GNN resource management implementations.☆12Updated last year
- [CLOUD'22] Learning to Dynamically Select the Optimal Scheduler in Cloud Computing Environments☆14Updated 2 years ago
- 一个基于图神经网络的强化学习网络资源分配模型☆26Updated 2 years ago
- Virtual network algorithms and the latest work☆20Updated 2 years ago
- Code for experimenting with load-balancing intradomain traffic engineering using GNNs and RL. Project as part of masters degree at the Un…☆32Updated 4 years ago
- This project simulates deployment and migration of Service Function Chains (SFC) in data-centers.☆32Updated this week
- PPO implementation of the DRL agent used in the paper "Deep Reinforcement Learning meets Graph Neural Networks: exploring a routing optim…☆92Updated 2 years ago
- Implementation of the paper "A Reinforcement Learning Based Strategy for Dynamic Scheduling on Heterogeneous Platforms".☆79Updated last year
- Set of algorithm dealing with the problems of VNF placement, SFC/VNF-FG placement and chaining, VNF scaling....☆32Updated 6 years ago
- Code used in the paper "ENERO: Efficient real-time WAN routing optimization with Deep Reinforcement Learning". In this paper, the DRL age…☆27Updated last year
- Environment for OpenAI Gym which can simulate an app deployed to a cloud environment.☆16Updated last year
- 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
- simulation of "A novel reinforcement learning algorithm for virtual network emb e dding" paper☆18Updated 5 years ago