mail-ecnu / VMAgentLinks
Our VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks.
☆90Updated 2 years ago
Alternatives and similar repositories for VMAgent
Users that are interested in VMAgent are comparing it to the libraries listed below
Sorting:
- Implementation of the paper "A Reinforcement Learning Based Strategy for Dynamic Scheduling on Heterogeneous Platforms".☆83Updated 2 years ago
- An implementation of Deep Reinforcement Learning for Multi-Resource Multi-Machine Job Scheduling☆34Updated 5 years ago
- multi-workflow scheduling☆10Updated 3 years ago
- Deep reinforcement learning for REsource Allocation in streaM processing☆30Updated 2 years ago
- A Gymnasium environment for simulating job scheduling in Apache Spark☆34Updated last year
- Learning Scheduling Algorithms for Data Processing Clusters☆302Updated 3 years ago
- CloudSimPy: Datacenter job scheduling simulation framework☆240Updated 11 months ago
- ☆13Updated 3 years ago
- 基于深度强化学习的资源调度研究☆88Updated 7 years ago
- [TPDS'21] COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments☆86Updated last year
- [TMC'20] Deep Learning based Scheduler for Stochastic Fog-Cloud computing environments☆119Updated 2 years ago
- Deep reinforcement learning for resource managment and job schedule. it is inspired by deeprm model and I will implement for in practica…☆12Updated 5 years ago
- Implement job scheduling based on REINFORCE and Graph Embedding.☆19Updated 4 years ago
- Resource Management with DeepRL using TF Agents☆13Updated 4 years ago
- Learning to schedule distributed resources with deep reinforcement learning.☆14Updated 5 years ago
- Implementation of genetic algorithm and MOHEFT algorithm for scheduling workflow in mobile cloud.☆18Updated 8 years ago
- Deep Q Network model for two stage resource provisioning and task scheduling for Cloud computing☆88Updated 4 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆94Updated 2 years ago
- Learning in Noisy MDP (which is governed by stochastic, exogenous input processes) with input-dependent baseline☆11Updated 4 years ago
- 北京化工大学本科毕业设计《基于深度强化学习的云工作流调度》☆60Updated 3 years ago
- 基于强化学习的云计算虚拟机放置☆18Updated 6 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☆58Updated 4 years ago
- ☆46Updated 4 years ago
- Course project of SJTU EE357: Computer Network, advised by Prof. Na Ruan. We implemented and improved "A Hierarchical Framework of Cloud …☆36Updated 5 years ago
- PyTorch implementation of the paper "Deep Reinforcement Learning in Large Discrete Action Spaces" (Gabriel Dulac-Arnold, Richard Evans, H…☆71Updated 5 years ago
- Codes implementation of the paper "Deep reinforcement learning for minimizing tardiness in parallel machine scheduling with sequence depe…☆22Updated last year
- HEFT, randomHEFT and IPEFT algorithms for static list DAG Scheduling☆53Updated 5 years ago
- A real-time workflow scheduling system in a cloud computing environment with a deep reinforcement learning approach☆26Updated 3 years ago
- Reinforcement learning environment for job scheduling written in python.☆25Updated 5 years ago
- BranchingDQN☆50Updated 6 years ago