Sledovat
Jorge Ejarque Artigas
Jorge Ejarque Artigas
Researcher at Workflows and Distributed Computing Group, Barcelona Supercomputing Center
E-mailová adresa ověřena na: bsc.es - Domovská stránka
Název
Citace
Citace
Rok
Dynamic energy-aware scheduling for parallel task-based application in cloud computing
F Juarez, J Ejarque, RM Badia
Future Generation Computer Systems 78, 257-271, 2018
2542018
Servicess: An interoperable programming framework for the cloud
F Lordan, E Tejedor, J Ejarque, R Rafanell, J Alvarez, F Marozzo, D Lezzi, ...
Journal of grid computing 12, 67-91, 2014
1692014
Comp superscalar, an interoperable programming framework
RM Badia Sala, J Conejero, C Diaz, J Ejarque, D Lezzi, FJ Lordan Gomis, ...
SoftwareX 3, 32-36, 2015
1142015
The impact of non-additive genetic associations on age-related complex diseases
M Guindo-Martínez, R Amela, S Bonàs-Guarch, M Puiggròs, C Salvoro, ...
Nature communications 12 (1), 2436, 2021
942021
Enabling dynamic and intelligent workflows for HPC, data analytics, and AI convergence
J Ejarque, RM Badia, L Albertin, G Aloisio, E Baglione, Y Becerra, ...
Future generation computer systems 134, 414-429, 2022
522022
Energy efficiency embedded service lifecycle: Towards an energy efficient cloud computing architecture
K Djemame, D Armstrong, R Kavanagh, AJ Ferrer, DG Perez, D Antona, ...
CEUR Workshop Proceedings 1203, 1-6, 2014
472014
A multi-agent approach for semantic resource allocation
J Ejarque, R Sirvent, RM Badia
2010 IEEE Second International Conference on Cloud Computing Technology and …, 2010
392010
SLA-driven semantically-enhanced dynamic resource allocator for virtualized service providers
J Ejarque, M de Palol, I Goiri, F Julia, J Guitart, RM Badia, J Torres
2008 IEEE Fourth International Conference on eScience, 8-15, 2008
332008
PaaS-IaaS inter-layer adaptation in an energy-aware cloud environment
K Djemame, R Bosch, R Kavanagh, P Alvarez, J Ejarque, J Guitart, L Blasi
IEEE Transactions on Sustainable Computing 2 (2), 127-139, 2017
322017
Exploiting semantics and virtualization for SLA‐driven resource allocation in service providers
J Ejarque, M de Palol, I Goiri, F Julia, J Guitart, RM Badia, J Torres
Concurrency and Computation: Practice and Experience 22 (5), 541-572, 2010
322010
Introducing virtual execution environments for application lifecycle management and SLA-driven resource distribution within service providers
Í Goiri, F Julia, J Ejarque, M De Palol, RM Badia, J Guitart, J Torres
2009 Eighth IEEE International Symposium on Network Computing and …, 2009
322009
Semantic resource allocation with historical data based predictions
J Ejarque, A Micsik, R Sirvent, P Pallinger, L Kovacs, RM Badia
IARIA 2010, 104-109, 2010
292010
Transparent orchestration of task-based parallel applications in containers platforms
C Ramon-Cortes, A Serven, J Ejarque, D Lezzi, RM Badia
Journal of Grid Computing 16, 137-160, 2018
282018
Using semantics for resource allocation in computing service providers
J Ejarque, M de Palol, I Goiri, F Julia, J Guitart, J Torres, RM Badia
2008 IEEE International Conference on Services Computing 2, 583-587, 2008
222008
A cloud-unaware programming model for easy development of composite services
E Tejedor, J Ejarque, F Lordan, R Rafanell, J Alvarez, D Lezzi, R Sirvent, ...
2011 IEEE Third International Conference on Cloud Computing Technology and …, 2011
202011
Heterogeneous hierarchical workflow composition
O Yildiz, J Ejarque, H Chan, S Sankaranarayanan, RM Badia, T Peterka
Computing in Science & Engineering 21 (4), 76-86, 2019
182019
An architecture for programming distributed applications on fog to cloud systems
F Lordan, D Lezzi, J Ejarque, RM Badia
European Conference on Parallel Processing, 325-337, 2017
182017
Cloud Application Resource Mapping and Scaling Based on Monitoring of QoS Constraints.
XJ Collazo-Mojica, SM Sadjadi, J Ejarque, RM Badia
SEKE, 88-93, 2012
172012
Enabling python to execute efficiently in heterogeneous distributed infrastructures with pycompss
R Amela, C Ramon-Cortes, J Ejarque, J Conejero, RM Badia
Proceedings of the 7th Workshop on Python for High-Performance and …, 2017
162017
TANGO: Transparent heterogeneous hardware Architecture deployment for eNergy Gain in Operation
K Djemame, D Armstrong, R Kavanagh, JC Deprez, AJ Ferrer, DG Perez, ...
arXiv preprint arXiv:1603.01407, 2016
162016
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Články 1–20