bytedance / DRL-based-VM-ReschedulingLinks
This repo contains the implementation of deep reinforcement learning (DRL) algorithms for virtual machine rescheduling in data centers.
☆10Updated 2 years ago
Alternatives and similar repositories for DRL-based-VM-Rescheduling
Users that are interested in DRL-based-VM-Rescheduling are comparing it to the libraries listed below
Sorting:
- Resource Management with DeepRL using TF Agents☆14Updated 4 years ago
- a deep learning-driven scheduler for elastic training in deep learning clusters☆30Updated 4 years ago
- A reinforcement learning algorithm for congestion control, together with a realistic Omnet++ network simulation environment☆28Updated 2 years ago
- Deep reinforcement learning for REsource Allocation in streaM processing☆31Updated 2 years ago
- ☆17Updated 2 years ago
- Our VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks.☆93Updated 2 years ago
- RLScheduler: An AutomatedHPC Batch Job Scheduler Using Reinforcement Learning [SC'20]☆61Updated 2 years ago
- Distributed deep learning cluster simulation environment and RL-GNN resource management implementations.☆14Updated 2 years ago
- ☆92Updated 2 years ago
- Variance Reduction for Reinforcement Learning in Input-Driven Environments (ICLR '19)☆31Updated 6 years ago
- Code for "Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP", which appeared at SOSP 2021☆26Updated 3 years ago
- Distributed DRL by Ray and TensorFlow Tutorial.☆10Updated 5 years ago
- ☆12Updated 6 months ago
- ☆22Updated 3 years ago
- ☆37Updated 2 years ago
- Environment for OpenAI Gym which can simulate an app deployed to a cloud environment.☆15Updated last year
- A PyTorch implementation of SEED, originally created by Google Research for TensorFlow 2.☆14Updated 4 years ago
- 毕业设计,用TensorFlow复现DeepRM☆7Updated 7 years ago
- ☆11Updated 4 years ago
- Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".☆100Updated 2 years ago
- A distributed GPU-centric experience replay system for large AI models.☆18Updated last year
- Fuzzy Deep Reinforcement Learning for autoscaling on clouds☆9Updated 4 years ago
- A dataset of network topology, including the nodes/edges features and traffic matrices.☆18Updated last year
- Learning Scheduling Algorithms for Data Processing Clusters☆308Updated 4 years ago
- ☆46Updated 4 years ago
- Implementation of the paper "A Reinforcement Learning Based Strategy for Dynamic Scheduling on Heterogeneous Platforms".☆86Updated 2 years ago
- BranchingDQN☆50Updated 6 years ago
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆96Updated 2 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
- An implementation of Deep Reinforcement Learning for Multi-Resource Multi-Machine Job Scheduling☆34Updated 5 years ago