AI for Networking: the Engineering Perspective
SessionINDIS 2020: The 7th International Workshop on Innovating the Network for Data-Intensive Science
Event Type
SCinet
Workshop
Big Data
Data Analytics, Compression, and Management
Datacenter
Networks
Performance/Productivity Measurement and Evaluation
SCinet
Software-defined networking
W
TimeThursday, 12 November 20204:45pm - 5:15pm EDT
LocationTrack 4
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.
