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Active Learning and Intelligent Scheduling on Large Scale Systems
Date: 2018/5/16             Browse: 20

Speaker:     Dr. Zhiling Lan. IIT

Time:          10:15—11:15, May 16 

Location:    Room 1A-200, SIST Building

Host:          Prof. Shu Yin


As computer systems continue to grow in scale, technical challenges, e.g., heterogeneous resources, reliability, energy efficiency, communication, become critical concerns. These concerns demand significant changes in many aspects of the system stack including resource management and job scheduling. In order to harness the great potential of extreme scale systems, my research aims to develop parallel methods and system software to promote productivity of large-scale systems. In this talk, I will give an overview of my research. I will present my work on log analytics that explores data mining/machine learning to extract actionable knowledge out of huge amounts of system logs. I will also present my work on intelligent scheduling that adapts resource allocation to user applications based on the knowledge discovered from online log analysis. Potential areas for research collaboration will be discussed.


Zhiling Lan received her PhD degree in Computer Engineering from Northwestern University in 2002. She has since joined the faculty of Illinois Institute of Technology and is currently a Professor at the Department of Computer Science. She is also a guest research faculty at Argonne National Laboratory. Her research interests are in the areas of high performance computing, with particular emphasis on fault tolerance, power efficiency, resource management and job scheduling, performance analysis and modeling. She has co-authored ~100 publications in these areas. She received the Best Paper Awards at IPDPS 2010 and Cluster 2014. She was the recipient of Dean’s Excellence Award in Research/Scholarship (Senior Category) from College of Science at the Illinois Institute of Technology in 2015. She has served in the Technical Program Committees (TPC) for over 80 international conferences and workshops. She has been serving on the Editorial Board of IEEE Transactions on Parallel and Distributed Systems since 2014.

SIST-Seminar 18030