Ivan Rodero

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Manish ParasharPresidential Professor, SCI Institute Director and Chair in Computational Science and EngineeringVerified email at ieee.org
Liana FongIBM T. J. Watson Research CenterVerified email at us.ibm.com
Jesus LabartaProfessor Computer Architecture, Technical University of Catalonia (UPC) and Barcelona Supercomputing Center (BSC)Verified email at bsc.es
Marc Gamell, PhDSoftware Development Engineer at IntelVerified email at intel.com
David VillegasPhD candidate, Florida International UniversityVerified email at cs.fiu.edu
Norman BobroffIBMVerified email at us.ibm.com
Javier Diaz-MontesAssistant Research Professor, Rutgers UniversityVerified email at rdi2.rutgers.edu
Daniel BalouekInriaVerified email at inria.fr
J. J. VillalobosRutgers, The State University of New JerseyVerified email at rutgers.edu
Eun Kyung LeeIBM T.J Watson Research CenterVerified email at us.ibm.com
Moustafa AbdelBakyNASA Ames Research CenterVerified email at berkeley.edu
Hariharasudhan ViswanathanPhD Student, Rutgers UniversityVerified email at cac.rutgers.edu
Aditya DevarakondaWake Forest UniversityVerified email at wfu.edu
Yubo QinPh.D. of Electrical and Computer Engineering, Rutgers UniversityVerified email at rutgers.edu
Attila KerteszAssociate professor at University of SzegedVerified email at inf.u-szeged.hu
Peer-Timo BremerLawrence Livermore National LaboratoryVerified email at llnl.gov
Valerio PascucciEndowed Chair professor and Director of the Center for Extreme Data Management Analysis andVerified email at sci.utah.edu
Aaditya G. LandgeSoftware Engineer, Twitter Inc.Verified email at sci.utah.edu
Scott KlaskyOak Ridge National LaboratoryVerified email at ornl.gov
Hemanth KollaCambridge University, Sandia National LaboratoriesVerified email at sandia.gov

Ivan Rodero

Research Computer Scientist

Verified email at utah.edu

Parallel & Distributed Computing Data-driven Science and Engineering Earth Observation Systems Applied Artificial Intelligenc


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Handbook of cloud computing B Furht, A Escalante springer, 2010	952	2010
Cloud federation in a layered service model D Villegas, N Bobroff, I Rodero, J Delgado, Y Liu, A Devarakonda, L Fong, ... Journal of Computer and System Sciences 78 (5), 1330-1344, 2012	272	2012
Energy-efficient application-aware online provisioning for virtualized clouds and data centers I Rodero, J Jaramillo, A Quiroz, M Parashar, F Guim, S Poole International conference on green computing, 31-45, 2010	118	2010
Cloud paradigms and practices for computational and data-enabled science and engineering M Parashar, M AbdelBaky, I Rodero, A Devarakonda Computing in Science & Engineering 15 (4), 10-18, 2013	93	2013
Energy-efficient thermal-aware autonomic management of virtualized HPC cloud infrastructure I Rodero, H Viswanathan, EK Lee, M Gamell, D Pompili, M Parashar Journal of Grid Computing 10, 447-473, 2012	91	2012
Autonomic management of application workflows on hybrid computing infrastructure H Kim, Y El-Khamra, I Rodero, S Jha, M Parashar Scientific Programming 19 (2-3), 75-89, 2011	82	2011
End-to-end energy models for Edge Cloud-based IoT platforms: Application to data stream analysis in IoT Y Li, AC Orgerie, I Rodero, BL Amersho, M Parashar, JM Menaud Future Generation Computer Systems 87, 667-678, 2018	81	2018
The ocean observatories initiative LM Smith, JA Barth, DS Kelley, A Plueddemann, I Rodero, GA Ulses, ... Oceanography 31 (1), 16-35, 2018	80	2018
Uncertainty-aware autonomic resource provisioning for mobile cloud computing H Viswanathan, EK Lee, I Rodero, D Pompili IEEE transactions on parallel and distributed systems 26 (8), 2363-2372, 2014	73	2014
Exploring power behaviors and trade-offs of in-situ data analytics M Gamell, I Rodero, M Parashar, JC Bennett, H Kolla, J Chen, PT Bremer, ... Proceedings of the International Conference on High Performance Computing …, 2013	68	2013
Energy-aware application-centric vm allocation for hpc workloads H Viswanathan, EK Lee, I Rodero, D Pompili, M Parashar, M Gamell 2011 IEEE International Symposium on Parallel and Distributed Processing …, 2011	68	2011
Grid broker selection strategies using aggregated resource information I Rodero, F Guim, J Corbalan, L Fong, SM Sadjadi Future Generation Computer Systems 26 (1), 72-86, 2010	67	2010
A distributed multi-sensor machine learning approach to earthquake early warning K Fauvel, D Balouek-Thomert, D Melgar, P Silva, A Simonet, G Antoniu, ... Proceedings of the AAAI conference on artificial intelligence 34 (01), 403-411, 2020	60	2020
eNANOS grid resource broker I Rodero, J Corbalán, RM Badia, J Labarta European Grid Conference, 111-121, 2005	58	2005
Content-based histopathology image retrieval using CometCloud X Qi, D Wang, I Rodero, J Diaz-Montes, RH Gensure, F Xing, H Zhong, ... BMC bioinformatics 15, 1-17, 2014	53	2014
Enabling interoperability among grid meta-schedulers I Rodero, D Villegas, N Bobroff, Y Liu, L Fong, SM Sadjadi Journal of grid computing 11, 311-336, 2013	53	2013
Evaluation of coordinated grid scheduling strategies I Rodero, F Guim, J Corbalan 2009 11th IEEE International Conference on High Performance Computing and …, 2009	48	2009
In-situ feature-based objects tracking for large-scale scientific simulations F Zhang, S Lasluisa, T Jin, I Rodero, H Bui, M Parashar 2012 SC Companion: High Performance Computing, Networking Storage and …, 2012	43	2012
Looking for an evolution of grid scheduling: Meta-brokering D Talia, R Yahyapour, W Ziegler, I Rodero, F Guim, J Corbalan, LL Fong, ... Grid Middleware and Services: Challenges and Solutions, 105-119, 2008	41	2008
eNANOS: Coordinated Scheduling in Grid Environments. I Rodero, F Guim, J Corbalan, J Labarta PARCO, 81-88, 2005	40	2005

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