yanli «at» ascar·io
Yan (Elliot) Li joined the SSRC in 2011 and earned his Ph.D. in 2017. He worked on the Quality of Service (QoS) of large-scale storage systems, as well as energy consumption of storage systems of future exascale supercomputers. His focus is on improving storage bandwidth utilization and resource allocation fairness, as well as reducing the energy cost for exascale storage systems. His interests also cover storage system reliability modeling, simulation, archival storage systems, and digital preservation. Before joining the SSRC, he spent 15 years working in the industry, developing Linux-based operating systems for IBM and Intel.
Now Yan is working in a startup that focuses on using machine learning to automate performance tuning for computer storage systems.
Yan's Google Scholar profile.
Publications since 2017-10-24
|Aug 29, 2018||Yulai Xie, Dan Feng, Yuchong Hu, Yan Li, Staunton Sample, Darrell D. E. Long,|
|Nov 13, 2017||
Ethan L. Miller,
Darrell D. E. Long,
CAPES: Unsupervised Storage Performance Tuning Using Neural Network-Based Deep Reinforcement Learning,Supercomputing '17, November 2017. [Scalable High-Performance QoS] [Ultra-Large Scale Storage] [Tracing and Benchmarking]
Collaborators since 2017-10-24
|Long, Darrell D. E.||08/29/2018||Link|
|Miller, Ethan L.||11/13/2017||Link|