AI for Networking: the Engineering Perspective
Data Analytics, Compression, and Management
Performance/Productivity Measurement and Evaluation
TimeThursday, 12 November 20204:45pm - 5:15pm EDT
DescriptionThis talk explores machine learning, deep learning and AI techniques when applied to operational networking and distributed computing problems. With advances in computing, data is being produced at exponential rates requiring highly flexible mobility across HPC computing and distributed facilities. Networks are the essential bloodline to science collaborations across the globe such as in high-energy physics, earth sciences and genomics. However, upgrading network hardware, with high-end routers and optic fibers, to cope with this data revolution can cost millions of dollars. We are exploring artificial intelligence to design and efficiently manage distributed network architectures to improve data transfers or routing, guarantee high-throughput and improve traffic engineering. I will discuss some of the challenges we face when deploying AI on the network.