Open | Share | Collaborate
OpenNetLab
OpenNetLab aims to build and provide a distributed networking platform with many collaborative nodes and a common benchmarking dataset (i.e. ImageNet in the networking area) for researchers to collect real networking data and train/evaluate their AI models for various networking environments, including the Internet/cloud, and wireless and mobile networks.
INTRODUCTION
OpenNetLab 2.0 – The Next-Gen Platform for AI-assisted Networking
NEWS
Microsoft Research Asia partners with universities in Asia to build OpenNetLab, empowering AI-assisted networking research
BEIJING, 19 January 2021 – Microsoft Research Asia announced the establishment of OpenNetLab, an open networking community and platform in collaboration with multiple universities in Asia, including academia from China, Korea and Singapore.
OpenNetLab is a network research community project. Its aims to promote the application and development of artificial intelligence (AI) in networking research by providing researchers with a universal distributed network testing platform and real network evaluation datasets. Ultimately, they hope to create a healthy and sustainable networking research ecosystem.
FEATURES
Contributing to the research community
Platform: Free to the networking research community Dataset: Published to GitHub for researchers to reproduce the experiments and train models
Data centric for networking-related AI
Automatic data collection Automatic data storing Automatic data aggregation Automatic data sharing
Real Applications
Real Time Communication Video/Data Streaming Web Service/CDN Other networking applications
Distributed heterogenous test nodes
Geo-distributed testbed Heterogenous network Various user devices