Zhiling Lan

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Zheng ZimingPostdoctoral Scholar,The University of ChicagoAdresse e-mail validée de iit.edu
Narayan DesaiGoogleAdresse e-mail validée de google.com
Zhou ZhouDepartment of Computer Science, Illinois Institute of TechnologyAdresse e-mail validée de hawk.iit.edu
Michael E. PapkaArgonne National Laboratory / Northern Illinois UniversityAdresse e-mail validée de anl.gov
Valerie TaylorArgonne National LaboratoryAdresse e-mail validée de anl.gov
Sean WallaceIllinois Institute of TechnologyAdresse e-mail validée de iit.edu
Greg BryanColumbia University and Center for Computational Astrophysics, Flatiron InstituteAdresse e-mail validée de columbia.edu
Misbah MubarakAmazon Web ServicesAdresse e-mail validée de anl.gov
Venkatram VishwanathComputer Scientist, Argonne National LaboratoryAdresse e-mail validée de anl.gov
Robert B. RossSenior Computer Scientist, Mathematics and Computer Science Division, Argonne National LaboratoryAdresse e-mail validée de mcs.anl.gov
Xian-He SunIllinois Institute of TechnologyAdresse e-mail validée de iit.edu
Yongen yuPh.D. student of Computer Science, Illinois Institute of TechnologyAdresse e-mail validée de vmware.com
Franck CappelloArgonne National Laboratory, IEEE FellowAdresse e-mail validée de anl.gov
Leonardo A. Bautista GomezBarcelona Supercomputing CenterAdresse e-mail validée de bsc.es
Rajeev ThakurDeputy Director, Data Science and Learning Division, Argonne National LaboratoryAdresse e-mail validée de anl.gov
Andrey KravtsovThe University of ChicagoAdresse e-mail validée de uchicago.edu
Sheng DiArgonne National Labratory, IEEE Senior MemberAdresse e-mail validée de anl.gov
Byung Hoon ParkOak Ridge National LaboratoryAdresse e-mail validée de ornl.gov
Ivan R. JudsonMicrosoftAdresse e-mail validée de microsoft.com
Mark HereldArgonne National Laboratory, University of Chicago, CaltechAdresse e-mail validée de mcs.anl.gov

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Zhiling Lan

Professor of computer science, Illinois Institute of Technology

Adresse e-mail validée de iit.edu - Page d'accueil

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


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
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	135	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	131	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	109	2006
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	95	2015
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 SC'13: Proceedings of the International Conference on High Performance …, 2013	94	2013
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	94	2011
A survey of load balancing in grid computing Y Li, Z Lan International Conference on Computational and Information Science, 280-285, 2004	91	2004
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	88	2016
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	88	2011
Dynamic load balancing of SAMR applications on distributed systems Z Lan, VE Taylor, G Bryan SC'01: Proceedings of the 2001 ACM/IEEE Conference on Supercomputing, 24-24, 2001	87	2001
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	86	2009
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	81	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	80	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	73	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
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	68	2008
Reducing energy costs for IBM Blue Gene/P via power-aware job scheduling Z Zhou, Z Lan, W Tang, N Desai Workshop on Job Scheduling Strategies for Parallel Processing, 96-115, 2013	67	2013

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