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 5 years ago
- Deep reinforcement learning for REsource Allocation in streaM processing☆31Updated 2 years ago
- a deep learning-driven scheduler for elastic training in deep learning clusters☆31Updated 4 years ago
- ☆94Updated 2 years ago
- Code for "Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP", which appeared at SOSP 2021☆27Updated 3 years ago
- Distributed deep learning cluster simulation environment and RL-GNN resource management implementations.☆14Updated 2 years ago
- ☆12Updated 8 months ago
- Environment for OpenAI Gym which can simulate an app deployed to a cloud environment.☆15Updated 2 years ago
- A reinforcement learning algorithm for congestion control, together with a realistic Omnet++ network simulation environment☆27Updated 2 years ago
- ☆18Updated 3 years ago
- Variance Reduction for Reinforcement Learning in Input-Driven Environments (ICLR '19)☆31Updated 6 years ago
- Our VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks.☆94Updated 2 years ago
- HEFT, randomHEFT and IPEFT algorithms for static list DAG Scheduling☆56Updated 5 years ago
- [CLOUD'22] Learning to Dynamically Select the Optimal Scheduler in Cloud Computing Environments☆14Updated 3 years ago
- RLScheduler: An AutomatedHPC Batch Job Scheduler Using Reinforcement Learning [SC'20]☆61Updated 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
- Code for Dynamic Weights in Multi-Objective Deep Reinforcement Learning☆101Updated 2 years ago
- Learning Scheduling Algorithms for Data Processing Clusters☆312Updated 4 years ago
- BranchingDQN☆50Updated 6 years ago
- 📜 [NeurIPS 2022] "Symbolic Distillation for Learned TCP Congestion Control", S P Sharan, Wenqing Zheng, Kuo-Feng Hsu, Jiarong Xing, Ang …☆15Updated 2 years ago
- Resource Management with Deep Reinforcement Learning (HotNets '16)☆300Updated 2 years ago
- Implementation of the paper "A Reinforcement Learning Based Strategy for Dynamic Scheduling on Heterogeneous Platforms".☆86Updated 2 years ago
- Lightweight flow-level simulator for inter-node network and service coordination (e.g., in cloud/edge computing or NFV).☆60Updated 2 years ago
- meta-MADDPG (Python implementation)☆18Updated 7 years ago
- An implementation of Deep Reinforcement Learning for Multi-Resource Multi-Machine Job Scheduling☆33Updated 5 years ago
- Implementation of NeurIPS2021 paper <On Effective Scheduling of Model-based Reinforcement Learning>☆13Updated 3 years ago
- ☆37Updated 2 years ago
- Distributed DRL by Ray and TensorFlow Tutorial.☆10Updated 5 years ago
- very easy implementation of dueling DQN in pytorch☆73Updated 2 years ago
- ☆18Updated 11 months ago