Alternatives and similar repositories for Multi-Objective-Workflow-Scheduling

Users that are interested in Multi-Objective-Workflow-Scheduling are comparing it to the libraries listed below

• imperial-qore / COSCO
  [TPDS'21] COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments
  ☆91Updated last year
• Cloudslab / DLSF
  [TMC'20] Deep Learning based Scheduler for Stochastic Fog-Cloud computing environments
  ☆121Updated 2 years ago
• ralthor / Scheduler
  multi-workflow scheduling
  ☆12Updated 3 years ago
• BuptMecMigration / Edge-Computing-Dataset
  MEC，Edge service, Edge Application, Service Computing.
  ☆64Updated 3 years ago
• xiangni / DREAM
  Deep reinforcement learning for REsource Allocation in streaM processing
  ☆31Updated 2 years ago
• XiaofeiTJU / KaiS
  ☆46Updated 4 years ago
• hongzimao / decima-sim
  Learning Scheduling Algorithms for Data Processing Clusters
  ☆310Updated 4 years ago
• XiaofeiTJU / EdgeSim
  Simulate the real environment, perform edge computing, edge caching experiments
  ☆76Updated 6 years ago
• Livioni / DAG_Generator
  Random Directed Acyclic Graph Generator
  ☆54Updated 2 years ago
• hetianzhang / Edge-DataSet
  Dataset for IoT, Fog and Edge-based experiments
  ☆52Updated 4 years ago
• XiaofeiTJU / SimEdgeIntel
  Edge caching simulator
  ☆18Updated 4 years ago
• EdgeSimPy / EdgeSimPy
  Python-based modeling and simulation framework for Edge Computing resource management policies
  ☆76Updated last month
• FC-Li / CloudSimPy
  CloudSimPy: Datacenter job scheduling simulation framework
  ☆246Updated last year
• nooblyh / TapFinger
  ☆21Updated last year
• CharafeddineMechalikh / PureEdgeSim
  PureEdgeSim: A simulation framework for performance evaluation of cloud, fog, and pure edge computing environments.
  ☆198Updated 4 months ago
• WENKAILV / RSDQL
  The source code and experimental results of RSDQL.
  ☆27Updated 3 years ago
• yxc135 / deeprm-scheduler
  An implementation of Deep Reinforcement Learning for Multi-Resource Multi-Machine Job Scheduling
  ☆33Updated 5 years ago
• pengyanghua / DL2
  a deep learning-driven scheduler for elastic training in deep learning clusters
  ☆30Updated 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
  ☆90Updated 4 years ago
• hliangzhao / RL-Scheduling
  Implement job scheduling based on REINFORCE and Graph Embedding.
  ☆19Updated 4 years ago
• peihaowang / DRLCache
  Deep reinforcement learning-based replacement strategy for content caching.
  ☆59Updated 3 years ago
• Livioni / Cloud-Workflow-Scheduling-base-on-Deep-Reinforcement-Learning
  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》
  ☆61Updated 3 years ago
• cwfparsonson / ddls
  Distributed deep learning cluster simulation environment and RL-GNN resource management implementations.
  ☆14Updated 2 years ago
• CagataySonmez / EdgeCloudSim
  EdgeCloudSim: An Environment for Performance Evaluation of Edge Computing Systems
  ☆460Updated 3 years ago
• hliangzhao / Edge-Computing-Codes
  Algorithm implementation for my Edge Computing-related papers.
  ☆205Updated 4 years ago
• BJTUHPCRT / QEEC-DingDing
  We open sourced the code of our team’s paper ‘Q-learning based Dynamic task scheduling for energy efficient cloud computing’, so as to fa…
  ☆20Updated 3 years ago
• xumengwei / EdgeWorkloadsTraces
  ☆38Updated 3 years ago
• liran-funaro / cloudsim
  A cloud simulation framework.
  ☆8Updated 5 years ago
• XingqiuHe / DPDS
  ☆23Updated last year
• EdgeSimPy / edgesimpy-tutorials
  Hands-on tutorials to help you understand how EdgeSimPy works and how to use it in your research
  ☆20Updated 6 months ago