Alternatives and similar repositories for egs

Users that are interested in egs are comparing it to the libraries listed below

• nooblyh / TapFinger
  ☆21Updated last year
• BuptMecMigration / Edge-Computing-Dataset
  MEC，Edge service, Edge Application, Service Computing.
  ☆66Updated 3 years ago
• ZhangRui111 / RayCloudSim
  RayCloudSim: A Simulator Written in Python for Cloud, Fog, or Edge Computing
  ☆91Updated last month
• linkpark / RLTaskOffloading
  ☆154Updated 3 years ago
• revenol / LyDROO
  Lyapunov-guided Deep Reinforcement Learning for Stable Online Computation Offloading in Mobile-Edge Computing Networks
  ☆277Updated 6 months ago
• linkpark / metarl-offloading
  ☆176Updated 5 years ago
• Shahid-Mohammed-Shaikbepari / Deep-Reinforcement-Learning-for-cloud
  Deep Q Network model for two stage resource provisioning and task scheduling for Cloud computing
  ☆94Updated 5 years ago
• Cloudslab / DLSF
  [TMC'20] Deep Learning based Scheduler for Stochastic Fog-Cloud computing environments
  ☆125Updated 2 years ago
• imperial-qore / COSCO
  [TPDS'21] COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments
  ☆92Updated 2 years ago
• pengguo318 / MaDRLAM
  Multi-Agent Deep Reinforcement Learning for Task Offloading in GDMSs
  ☆92Updated 2 years ago
• CloudControlSystems / KCES
  KCES: A Workflow Containerization Scheduling Scheme Under Cloud-Edge Collaboration Framework
  ☆14Updated last year
• davidtw0320 / Resources-Allocation-in-The-Edge-Computing-Environment-Using-Reinforcement-Learning
  Simulated the scenario between edge servers and users with a clear graphic interface. Also, implemented the continuous control with Deep …
  ☆365Updated 3 years ago
• gracefulning / mec_morl_multipolicy
  The python code for paper "Multi-objective Deep Reinforcement Learning for Mobile Edge Computing"
  ☆112Updated 2 years ago
• AtticusZhang / PyEdgeSim
  A Python-based simulation environment for edge computing decision-making algorithms with edge task scheduling.
  ☆14Updated last year
• hliangzhao / Edge-Computing-Codes
  Algorithm implementation for my Edge Computing-related papers.
  ☆209Updated 4 years ago
• EdgeSimPy / EdgeSimPy
  Python-based modeling and simulation framework for Edge Computing resource management policies
  ☆86Updated 4 months ago
• mingt2019 / Deep-Q-learning-for-mobile-edge-computing
  ☆119Updated 4 years ago
• 76481786 / Flexible-Measurement-based-Modeling-Generators
  ☆13Updated 2 years ago
• qlt315 / UCMEC-mmWave-Fronthaul
  Evaluation code of our paper in IEEE Transactions on Mobile Computing: ''Towards Decentralized Task Offloading and Resource Allocation in…
  ☆133Updated 3 months ago
• alb1183 / ML-RL-simulations
  A multi-layer guided reinforcement learning-based tasks offloading in edge computing - Simulations
  ☆106Updated 2 years ago
• hliangzhao / RL-Scheduling
  Implement job scheduling based on REINFORCE and Graph Embedding.
  ☆19Updated 4 years ago
• TesfayZ / CCM_MADRL_MEC
  The source code for the paper titled Combinatorial Client-Master Multiagent Deep Reinforcement Learning for Task Offloading in Mobile Edg…
  ☆134Updated last week
• Jian-Yin-Shine / Partial-Computation-Offloading-For-MEC
  基于深度强化学习的部分计算任务卸载延迟优化
  ☆163Updated 3 years ago
• sling0318 / Multi-Agent-Mec_Offloading-Use_DRL
  使用Drl来解决多智能体卸载问题
  ☆105Updated 3 years ago
• hpcclab / Felare
  This is the code for the paper published in IEEE Cloud Computing 2022
  ☆12Updated 3 years ago
• WENKAILV / RSDQL
  The source code and experimental results of RSDQL.
  ☆27Updated 3 years ago
• qiongwu86 / GNN-and-DRL-Based-Resource-Allocation-for-V2X-Communications
  ☆94Updated 7 months ago
• neardws / Game-Theoretic-Deep-Reinforcement-Learning
  Code of Paper "Joint Task Offloading and Resource Optimization in NOMA-based Vehicular Edge Computing: A Game-Theoretic DRL Approach", JS…
  ☆323Updated 2 years ago
• GeminiLight / virne
  Virne is a simulator & benchmark for resource allocation (RA) problems in network function virtualization (NFV), i.e., NFV-RA, including …
  ☆138Updated 2 months ago
• UNIC-Lab / LOGNN
  This is the code for paper "Scalable Resource Management for Dynamic MEC: An Unsupervised Link-Output Graph Neural Network Approach"
  ☆27Updated 2 years ago