Alternatives and similar repositories for FaasSim

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

• hongzimao / decima-sim
  Learning Scheduling Algorithms for Data Processing Clusters
  ☆310Updated 4 years ago
• edgerun / faas-sim
  A framework for trace-driven simulation of serverless Function-as-a-Service platforms
  ☆71Updated 6 months ago
• pacslab / SLApp-PerfCost-MdlOpt
  Artifact repository for the paper "Modeling and Optimization of Performance and Cost of Serverless Applications"
  ☆21Updated last year
• imperial-qore / COSCO
  [TPDS'21] COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments
  ☆91Updated last year
• FC-Li / CloudSimPy
  CloudSimPy: Datacenter job scheduling simulation framework
  ☆246Updated last year
• XiaofeiTJU / KaiS
  ☆46Updated 4 years ago
• xiangni / DREAM
  Deep reinforcement learning for REsource Allocation in streaM processing
  ☆31Updated 2 years ago
• hsy23 / KDD23_DynEformer
  PPIO workload prediction framework code
  ☆19Updated last year
• ppzqh / Energy-Efficient-Algorithms_CloudSim
  ☆12Updated 4 years ago
• netx-repo / neuroplan
  ☆93Updated 2 years ago
• hiddenlayer2020 / ML-Job-Scheduler-MLFS
  ☆11Updated 4 years ago
• DIR-LAB / deep-batch-scheduler
  RLScheduler: An AutomatedHPC Batch Job Scheduler Using Reinforcement Learning [SC'20]
  ☆61Updated 2 years ago
• EsratMaria / Reinforcement-Learning_for_Energy_Minimization_Using_CLoudsim
  Implementation of RL in the cloud for energy minimization due to migration and excess power consumption.
  ☆28Updated last year
• qub-blesson / DeFog
  Demystifying Fog Systems Using Container-based Benchmarking
  ☆35Updated 6 years ago
• pengyanghua / DL2
  a deep learning-driven scheduler for elastic training in deep learning clusters
  ☆30Updated 4 years ago
• leimiaomiao / Multi-Objective-Workflow-Scheduling
  Implementation of genetic algorithm and MOHEFT algorithm for scheduling workflow in mobile cloud.
  ☆18Updated 8 years ago
• akhtarnabeel / COSE-Serverless-Configuration
  COSE: Configuring Serverless Functions using Statistical Learning
  ☆10Updated 2 years ago
• hsy23 / ECWDataset
  ☆17Updated last year
• xumengwei / EdgeWorkloadsTraces
  ☆38Updated 3 years ago
• disel-espol / olscheduler
  Scheduler for open-lambda
  ☆11Updated last year
• hongzimao / deeprm
  Resource Management with Deep Reinforcement Learning (HotNets '16)
  ☆299Updated 2 years ago
• lwangbm / Metis
  Metis: Learning to Schedule Long-Running Applications in Shared Container Clusters with at Scale
  ☆18Updated 5 years ago
• pacslab / simfaas
  ☆24Updated last year
• WHU-AISE / PBScaler
  PBScaler: A Bottleneck-aware Autoscaling Framework for Microservice-based Applications
  ☆26Updated 8 months ago
• 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
• imperial-qore / MetaNet
  [CLOUD'22] Learning to Dynamically Select the Optimal Scheduler in Cloud Computing Environments
  ☆14Updated 3 years ago
• All-less / trace-generator
  A CLI tool generating traces of batch jobs in a cluster.
  ☆24Updated 2 years ago
• wfcommons / pegasus-instances
  Collection of workflow execution instances for the Pegasus workflow management system.
  ☆20Updated last year
• stanford-futuredata / POP
  Code for "Solving Large-Scale Granular Resource Allocation Problems Efficiently with POP", which appeared at SOSP 2021
  ☆26Updated 3 years ago
• yxc135 / deeprm-scheduler
  An implementation of Deep Reinforcement Learning for Multi-Resource Multi-Machine Job Scheduling
  ☆33Updated 5 years ago