Zhiling Lan

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Zheng ZimingPostdoctoral Scholar,The University of ChicagoVerified email at iit.edu
Narayan DesaiGoogleVerified email at google.com
Michael E. PapkaUniversity of Illinois Chicago / Argonne National Laboratory / University of ChicagoVerified email at uic.edu
Valerie TaylorArgonne National LaboratoryVerified email at anl.gov
Zhou ZhouDepartment of Computer Science, Illinois Institute of TechnologyVerified email at hawk.iit.edu
Sean WallaceIllinois Institute of TechnologyVerified email at iit.edu
Misbah MubarakNvidia CorporationVerified email at nvidia.com
Greg BryanColumbia University and Center for Computational Astrophysics, Flatiron InstituteVerified email at columbia.edu
Robert B. RossSenior Computer Scientist, Mathematics and Computer Science Division, Argonne National LaboratoryVerified email at mcs.anl.gov
Venkatram VishwanathComputer Scientist, Argonne National LaboratoryVerified email at anl.gov
Xian-He SunIllinois Institute of TechnologyVerified email at iit.edu
Yongen yuPh.D. student of Computer Science, Illinois Institute of TechnologyVerified email at vmware.com
Franck CappelloArgonne National Laboratory, IEEE FellowVerified email at anl.gov
Leonardo A. Bautista GomezBarcelona Supercomputing CenterVerified email at bsc.es
Rajeev ThakurDeputy Director, Data Science and Learning Division, Argonne National LaboratoryVerified email at anl.gov
Andrey KravtsovThe University of ChicagoVerified email at uchicago.edu
Sheng DiArgonne National Labratory, IEEE Senior MemberVerified email at anl.gov
Byung Hoon ParkOak Ridge National LaboratoryVerified email at ornl.gov
Ivan R. JudsonMicrosoftVerified email at microsoft.com
Mark HereldArgonne National Laboratory, University of Chicago, CaltechVerified email at mcs.anl.gov

Zhiling Lan

Professor of computer science, Illinois Institute of Technology

Verified email at iit.edu - Homepage

parallel and distributed computing cluster scheduling data analytics power efficiency fault tolerance


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Toward automated anomaly identification in large-scale systems Z Lan, Z Zheng, Y Li IEEE Transactions on Parallel and Distributed Systems 21 (2), 174-187, 2009	138	2009
System log pre-processing to improve failure prediction Z Zheng, Z Lan, BH Park, A Geist 2009 IEEE/IFIP International Conference on Dependable Systems & Networks …, 2009	133	2009
Exploit failure prediction for adaptive fault-tolerance in cluster computing Y Li, Z Lan Sixth IEEE International Symposium on Cluster Computing and the Grid (CCGRID …, 2006	112	2006
Integrating dynamic pricing of electricity into energy aware scheduling for HPC systems X Yang, Z Zhou, S Wallace, Z Lan, W Tang, S Coghlan, ME Papka Proceedings of the International Conference on High Performance Computing …, 2013	98	2013
Lightweight silent data corruption detection based on runtime data analysis for HPC applications E Berrocal, L Bautista-Gomez, S Di, Z Lan, F Cappello Proceedings of the 24th International Symposium on High-Performance Parallel …, 2015	96	2015
Watch out for the bully! job interference study on dragonfly network X Yang, J Jenkins, M Mubarak, RB Ross, Z Lan SC'16: Proceedings of the International Conference for High Performance …, 2016	95	2016
Co-analysis of RAS log and job log on Blue Gene/P Z Zheng, L Yu, W Tang, Z Lan, R Gupta, N Desai, S Coghlan, D Buettner 2011 IEEE International Parallel & Distributed Processing Symposium, 840-851, 2011	95	2011
Practical online failure prediction for blue gene/p: Period-based vs event-driven L Yu, Z Zheng, Z Lan, S Coghlan 2011 IEEE/IFIP 41st International Conference on Dependable Systems and …, 2011	90	2011
Fault-aware, utility-based job scheduling on blue, gene/p systems W Tang, Z Lan, N Desai, D Buettner 2009 IEEE International Conference on Cluster Computing and Workshops, 1-10, 2009	90	2009
A survey of load balancing in grid computing Y Li, Z Lan Computational and Information Science: First International Symposium, CIS …, 2005	90	2005
Dynamic load balancing of SAMR applications on distributed systems Z Lan, VE Taylor, G Bryan Proceedings of the 2001 ACM/IEEE conference on Supercomputing, 36-36, 2001	88	2001
A practical failure prediction with location and lead time for blue gene/p Z Zheng, Z Lan, R Gupta, S Coghlan, P Beckman 2010 International Conference on Dependable Systems and Networks Workshops …, 2010	83	2010
Analyzing and adjusting user runtime estimates to improve job scheduling on the Blue Gene/P W Tang, N Desai, D Buettner, Z Lan 2010 IEEE international symposium on parallel & distributed processing …, 2010	80	2010
Dynamic meta-learning for failure prediction in large-scale systems: A case study J Gu, Z Zheng, Z Lan, J White, E Hocks, BH Park 2008 37th International Conference on Parallel Processing, 157-164, 2008	79	2008
A meta-learning failure predictor for blue gene/l systems P Gujrati, Y Li, Z Lan, R Thakur, J White 2007 International Conference on Parallel Processing (ICPP 2007), 40-40, 2007	77	2007
Reliability-aware scalability models for high performance computing Z Zheng, Z Lan 2009 IEEE International Conference on Cluster Computing and Workshops, 1-9, 2009	75	2009
Dynamic load balancing for structured adaptive mesh refinement applications Z Lan, VE Taylor, G Bryan International Conference on Parallel Processing, 2001., 571-579, 2001	73	2001
Reducing energy costs for IBM Blue Gene/P via power-aware job scheduling Z Zhou, Z Lan, W Tang, N Desai Job Scheduling Strategies for Parallel Processing: 17th International …, 2014	69	2014
A study of dynamic meta-learning for failure prediction in large-scale systems Z Lan, J Gu, Z Zheng, R Thakur, S Coghlan Journal of parallel and distributed computing 70 (6), 630-643, 2010	69	2010
Adaptive fault management of parallel applications for high-performance computing Z Lan, Y Li IEEE Transactions on Computers 57 (12), 1647-1660, 2008	67	2008

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