Ioan Raicu
Zitiert von
Zitiert von
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
Evaluating IPv4 to IPv6 transition mechanisms
I Raicu, S Zeadally
Telecommunications, 2003. ICT 2003. 10th International Conference on 2, 1091 …, 2003
Many-task computing: Bridging the gap between high-throughput computing and high-performance computing
I Raicu
University of Chicago, 2009
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