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.
  ☆64Updated 3 years ago
• frs69wq / daggen
  DAGGEN: A synthethic task graph generator
  ☆68Updated 3 years ago
• WENKAILV / RSDQL
  The source code and experimental results of RSDQL.
  ☆27Updated 3 years ago
• ZhangRui111 / RayCloudSim
  RayCloudSim: A Simulator Written in Python for Cloud, Fog, or Edge Computing
  ☆84Updated last month
• AtticusZhang / PyEdgeSim
  A Python-based simulation environment for edge computing decision-making algorithms with edge task scheduling.
  ☆12Updated 9 months ago
• Zuox99 / Deep-Reinforcement-Learning-Based-Resource-Provisioning-and-Task-Scheduling-for-Cloud-Service-Provid
  Project: Deep Reinforcement Learning Based Resource Provisioning and Task Scheduling for Cloud Service Providers
  ☆59Updated 4 years ago
• CloudControlSystems / KCES
  KCES: A Workflow Containerization Scheduling Scheme Under Cloud-Edge Collaboration Framework
  ☆13Updated 10 months ago
• Cloudslab / DLSF
  [TMC'20] Deep Learning based Scheduler for Stochastic Fog-Cloud computing environments
  ☆119Updated 2 years ago
• automaticdai / dag-gen-rnd
  dag-gen-rnd: A randomized Multi-DAG task generator for scheduling and allocation research
  ☆35Updated 3 weeks ago
• ArchieGertsman / spark-sched-sim
  A Gymnasium environment for simulating job scheduling in Apache Spark
  ☆36Updated last year
• imperial-qore / MetaNet
  [CLOUD'22] Learning to Dynamically Select the Optimal Scheduler in Cloud Computing Environments
  ☆14Updated 3 years ago
• nathangrinsztajn / RL_for_dynamic_scheduling
  Implementation of the paper "A Reinforcement Learning Based Strategy for Dynamic Scheduling on Heterogeneous Platforms".
  ☆84Updated 2 years ago
• pengguo318 / MaDRLAM
  Multi-Agent Deep Reinforcement Learning for Task Offloading in GDMSs
  ☆87Updated last year
• linkpark / RLTaskOffloading
  ☆141Updated 3 years ago
• hliangzhao / RL-Scheduling
  Implement job scheduling based on REINFORCE and Graph Embedding.
  ☆19Updated 4 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
  ☆89Updated 4 years ago
• hsy23 / ECWDataset
  ☆17Updated last year
• hpcclab / Felare
  This is the code for the paper published in IEEE Cloud Computing 2022
  ☆12Updated 2 years ago
• imperial-qore / COSCO
  [TPDS'21] COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments
  ☆89Updated last year
• xuaikun / TransEdge
  TransEdge: Task Offloading with GNN and DRL in Edge Computing-Enabled Transportation System
  ☆41Updated 10 months ago
• HongyangDu / AttentionQoE
  ☆15Updated last year
• imperial-qore / PreGAN
  [Infocom'22] Preemptive Migration Prediction Network for Proactive Fault Tolerant Edge Computing
  ☆45Updated last year
• GeminiLight / flag-vne
  [IJCAI'24 - FlagVNE] Implementation of our paper "FlagVNE: A Flexible and Generalizable Reinforcement Learning Framework for Network Reso…
  ☆28Updated last month
• gracefulning / mec_morl_multipolicy
  The python code for paper "Multi-objective Deep Reinforcement Learning for Mobile Edge Computing"
  ☆82Updated last year
• 76481786 / Flexible-Measurement-based-Modeling-Generators
  ☆11Updated 2 years ago
• EdgeSimPy / edgesimpy-tutorials
  Hands-on tutorials to help you understand how EdgeSimPy works and how to use it in your research
  ☆20Updated 4 months ago
• linkpark / pomdp-service-migration
  ☆35Updated 2 years ago
• linkpark / metarl-offloading
  ☆171Updated 4 years ago
• lhc0512 / edge-computing
  ☆16Updated 2 years ago