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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.

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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

Join OpenNetLab

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