Ioan Raicu

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Ian T. FosterUniversity of Chicago and Argonne National LaboratoryVerified email at anl.gov
Dongfang ZhaoUniversity of WashingtonVerified email at cs.washington.edu
Ke WangMicrosoftVerified email at microsoft.com
Tonglin LiLawrence Berkeley National Laboratory, NERSCVerified email at hawk.iit.edu
Iman SadooghiSoftware Engineer at BoxVerified email at box.com
Shiyong LuProfessor, Department of Computer Science, Wayne State UniversityVerified email at wayne.edu
Edward ZhouMTS of Hortonworks Inc, Graduate of Illinois Institute of TechnologyVerified email at hortonworks.com
Zhao ZhangECE, Rutgers UniversityVerified email at rutgers.edu
Michael WildeSoftware Architect, Argonne National Laboratory and Fellow, Computation Institute, University of ChicagoVerified email at mcs.anl.gov
Michael K LangLos Alamos National LaboratoryVerified email at lanl.gov
Kevin BrandstatterIllinois Institute of TechnologyVerified email at hawk.iit.edu
Peter BeckmanProfessor, Northwestern UniversityVerified email at northwestern.edu
Ben CliffordCQX LimitedVerified email at hawaga.org.uk
Mihael Hategan-MarandiucUniversity of ChicagoVerified email at mcs.anl.gov
Scott J. KriederDoctoral Student of Computer Science, Illinois Institute of TechnologyVerified email at iit.edu
Alexandru Iulian OrheanAssistant Professor, DePaul UniversityVerified email at depaul.edu
Kamil IskraComputer Scientist, Argonne National LaboratoryVerified email at mcs.anl.gov
Matei RipeanuElectrical and Computer Engineering, University of British Columbia, V6T 1Z4Verified email at ece.ubc.ca
Xian-He SunIllinois Institute of TechnologyVerified email at iit.edu
Kyle ChardUniversity of Chicago and Argonne National LaboratoryVerified email at uchicago.edu

Ioan Raicu

Professor of Computer Science, Illinois Institute of Technology

Verified email at cs.iit.edu - Homepage

Computer Science Distributed Systems Parallel and Distributed Processing Cloud Computing Big


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Cloud computing and grid computing 360-degree compared I Foster, Y Zhao, I Raicu, S Lu Grid Computing Environments Workshop, 2008. GCE'08, 1-10, 2008	5042	2008
The Globus striped GridFTP framework and server W Allcock, J Bresnahan, R Kettimuthu, M Link, C Dumitrescu, I Raicu, ... Proceedings of the 2005 ACM/IEEE conference on Supercomputing, 54, 2005	895	2005
Swift: Fast, reliable, loosely coupled parallel computation Y Zhao, M Hategan, B Clifford, I Foster, G Von Laszewski, V Nefedova, ... Services, 2007 IEEE Congress on, 199-206, 2007	564	2007
Falkon: a Fast and Light-weight tasK executiON framework I Raicu, Y Zhao, C Dumitrescu, I Foster, M Wilde Supercomputing, 2007. SC'07. Proceedings of the 2007 ACM/IEEE Conference on …, 2007	460	2007
Many-task computing for grids and supercomputers I Raicu, I Foster, Y Zhao Many-Task Computing on Grids and Supercomputers, 2008. MTAGS 2008. Workshop …, 2008	425	2008
Monitoring and Discovery in a Web Services Framework: Functionality and Performance of Globus Toolkit MDS4 JM Schopf, I Raicu, L Pearlman, N Miller, C Kesselman, I Foster, M D’Arcy Argonne National Laboratory, ANL/MCS-P1315-0106, 2006	260*	2006
ZHT: A Light-weight Reliable Persistent Dynamic Scalable Zero-hop Distributed Hash Table T Li, X Zhou, K Brandstatter, D Zhao, K Wang, A Rajendran, Z Zhang, ... IEEE IPDPS 2013, 2013	211	2013
Toward loosely coupled programming on petascale systems I Raicu, Z Zhang, M Wilde, I Foster, P Beckman, K Iskra, B Clifford Proceedings of the 2008 ACM/IEEE conference on Supercomputing, 22, 2008	176	2008
Optimizing Load Balancing and Data-Locality with Data-aware Scheduling K Wang, X Zhou, T Li, D Zhao, M Lang, I Raicu IEEE BigData 2014, 2014	167	2014
New scheduling approach using reinforcement learning for heterogeneous distributed systems AI Orhean, F Pop, I Raicu Journal of Parallel and Distributed Computing 117, 292-302, 2018	158	2018
FusionFS: Towards Supporting Data-Intensive Scientific Applications on Extreme-Scale High-Performance Computing Systems D Zhao, Z Zhang, X Zhou, T Li, K Wang, D Kimpe, P Carns, R Ross, ... IEEE BigData 2014, 2014	154	2014
Opportunities and Challenges in Running Scientific Workflows on the Cloud Y Zhao, X Fei, I Raicu, S Lu IEEE International Conference on Network-based Distributed Computing and …, 2011	143	2011
Parallel scripting for applications at the petascale and beyond M Wilde, I Foster, K Iskra, P Beckman, Z Zhang, A Espinosa, M Hategan, ... Computer 42 (11), 50-60, 2009	132	2009
Understanding the performance and potential of cloud computing for scientific applications I Sadooghi, JH Martin, T Li, K Brandstatter, K Maheshwari, ... IEEE Transactions on Cloud Computing 5 (2), 358-371, 2015	127	2015
Accelerating large-scale data exploration through data diffusion I Raicu, Y Zhao, I Foster, A Szalay Proceedings of the 2008 international workshop on Data-aware distributed …, 2008	115	2008
Scientific workflow systems for 21st century, new bottle or new wine? Y Zhao, I Raicu, I Foster Services-Part I, 2008. IEEE Congress on, 467-471, 2008	114	2008
Adapt: Availability-aware mapreduce data placement for non-dedicated distributed computing H Jin, X Yang, XH Sun, I Raicu 2012 IEEE 32nd International Conference on Distributed Computing Systems …, 2012	108	2012
Evaluating IPv4 to IPv6 transition mechanisms I Raicu, S Zeadally Telecommunications, 2003. ICT 2003. 10th International Conference on 2, 1091 …, 2003	108	2003
Making a case for distributed file systems at Exascale I Raicu, I Foster, P Beckman Proceedings of the third international workshop on Large-scale system and …, 2011	107	2011
Many-task computing: Bridging the gap between high-throughput computing and high-performance computing I Raicu University of Chicago, 2009	94	2009

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