handasontam / PERT-GNN-KDD23Links
Official Implementation of our KDD 2023 Paper: PERT-GNN: Latency Prediction for Microservice-based Cloud-Native Applications via Graph Neural Networks.
☆13Updated last year
Alternatives and similar repositories for PERT-GNN-KDD23
Users that are interested in PERT-GNN-KDD23 are comparing it to the libraries listed below
Sorting:
- PBScaler: A Bottleneck-aware Autoscaling Framework for Microservice-based Applications☆26Updated 9 months ago
- ☆19Updated 9 months ago
- Joint microservice deployment and request routing based on reinforcement learning.☆13Updated last year
- ☆30Updated 2 years ago
- Resource Management with DeepRL using TF Agents☆14Updated 5 years ago
- Deep reinforcement learning for REsource Allocation in streaM processing☆31Updated 2 years ago
- ☆14Updated 8 months ago
- ☆12Updated last year
- ☆46Updated 4 years ago
- Also, check our recent DeepRest based hybrid-cloud migration advisor Atlas by clicking on the link below.☆18Updated this week
- ☆12Updated 8 months ago
- Implement job scheduling based on REINFORCE and Graph Embedding.☆19Updated 4 years ago
- Distributed deep learning cluster simulation environment and RL-GNN resource management implementations.☆14Updated 2 years ago
- 基于强化学习的云计算虚拟机放置☆18Updated 6 years ago
- The source code and experimental results of RSDQL.☆27Updated 3 years ago
- A Gymnasium environment for simulating job scheduling in Apache Spark☆40Updated last year
- [TMC'20] Deep Learning based Scheduler for Stochastic Fog-Cloud computing environments☆125Updated 2 years ago
- ☆25Updated 10 months ago
- Artifact repository for the paper "Modeling and Optimization of Performance and Cost of Serverless Applications"☆21Updated last year
- ☆21Updated last year
- ☆11Updated 4 years ago
- [TPDS'21] COSCO: Container Orchestration using Co-Simulation and Gradient Based Optimization for Fog Computing Environments☆92Updated last year
- Codebase for Autothrottle (NSDI 2024)☆48Updated last year
- Learning Scheduling Algorithms for Data Processing Clusters☆312Updated 4 years ago
- ☆38Updated 3 years ago
- [CLOUD'22] Learning to Dynamically Select the Optimal Scheduler in Cloud Computing Environments☆14Updated 3 years ago
- Demo of RouteNet in ACM SIGCOMM'19☆122Updated 2 years ago
- Virtual Network Function placement optimization with Deep Reinforcement Learning☆73Updated 2 years ago
- 📉 Alibaba cluster analysis☆15Updated 7 years ago
- An implementation of Deep Reinforcement Learning for Multi-Resource Multi-Machine Job Scheduling☆33Updated 5 years ago