Alternatives and similar repositories for decima-sim:

Users that are interested in decima-sim are comparing it to the libraries listed below

• FC-Li / CloudSimPy
  CloudSimPy: Datacenter job scheduling simulation framework
  ☆234Updated 8 months ago
• park-project / park
  ☆222Updated last year
• hongzimao / deeprm
  Resource Management with Deep Reinforcement Learning (HotNets '16)
  ☆291Updated last year
• ArchieGertsman / spark-sched-sim
  A Gymnasium environment for simulating job scheduling in Apache Spark
  ☆27Updated last year
• nathangrinsztajn / RL_for_dynamic_scheduling
  Implementation of the paper "A Reinforcement Learning Based Strategy for Dynamic Scheduling on Heterogeneous Platforms".
  ☆79Updated last year
• xiangni / DREAM
  Deep reinforcement learning for REsource Allocation in streaM processing
  ☆28Updated last year
• yxc135 / deeprm-scheduler
  An implementation of Deep Reinforcement Learning for Multi-Resource Multi-Machine Job Scheduling
  ☆33Updated 4 years ago
• DIR-LAB / deep-batch-scheduler
  RLScheduler: An AutomatedHPC Batch Job Scheduler Using Reinforcement Learning [SC'20]
  ☆57Updated last year
• netx-repo / neuroplan
  ☆88Updated last year
• XiaofeiTJU / KaiS
  ☆44Updated 4 years ago
• mail-ecnu / VMAgent
  Our VMAgent is a platform for exploiting Reinforcement Learning (RL) on Virtual Machine (VM) scheduling tasks.
  ☆86Updated last year
• liucyao / deeprm_reforement_learning
  基于深度强化学习的资源调度研究
  ☆81Updated 7 years ago
• All-less / trace-generator
  A CLI tool generating traces of batch jobs in a cluster.
  ☆24Updated last year
• Cloudslab / DLSF
  [TMC'20] Deep Learning based Scheduler for Stochastic Fog-Cloud computing environments
  ☆111Updated 2 years ago
• hkust-adsl / kubernetes-scheduler-simulator
  Kubernetes Scheduler Simulator
  ☆98Updated 6 months ago
• binqi-sun / egs
  ☆21Updated last year
• frs69wq / daggen
  DAGGEN: A synthethic task graph generator
  ☆64Updated 2 years ago
• mfatihaktas / deep-scheduler
  Learning to schedule distributed resources with deep reinforcement learning.
  ☆13Updated 5 years ago
• quovadim / RL-Cache
  ☆29Updated 5 years ago
• sharma-n / DAG_Scheduling
  HEFT, randomHEFT and IPEFT algorithms for static list DAG Scheduling
  ☆51Updated 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
  ☆80Updated 4 years ago
• pengyanghua / DL2
  a deep learning-driven scheduler for elastic training in deep learning clusters
  ☆29Updated 4 years ago
• stanford-futuredata / POP
  Code for "Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP", which appeared at SOSP 2021
  ☆24Updated 3 years ago
• imperial-qore / COSCO
  [TPDS'21] COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments
  ☆82Updated last year
• peihaowang / DRLCache
  Deep reinforcement learning-based replacement strategy for content caching.
  ☆57Updated 3 years ago
• harvard-cns / teal
  Codebase for Teal (SIGCOMM 2023)
  ☆47Updated 10 months ago
• netcontract / ncflow
  Anonymized code for NCFlow, NSDI 2021 Spring submission
  ☆22Updated 3 years ago
• hliangzhao / RL-Scheduling
  Implement job scheduling based on REINFORCE and Graph Embedding.
  ☆18Updated 4 years ago
• rubensolozabal / vnf_placement_optimization_rl
  Virtual Network Function placement optimization with Deep Reinforcement Learning
  ☆70Updated last year
• SPEAR-UIC / CQSim
  ☆37Updated 5 months ago