Members
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
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Bibliography

Major publications by the team in recent years
[1]
A. Costan, R. Tudoran, G. Antoniu, G. Brasche.
TomusBlobs: Scalable Data-intensive Processing on Azure Clouds, in: CCPE - Concurrency and Computation: Practice and Experience, May 2013.
https://hal.inria.fr/hal-00767034
[2]
B. Da Mota, R. Tudoran, A. Costan, G. Varoquaux, G. Brasche, P. J. Conrod, H. Lemaitre, T. Paus, M. Rietschel, V. Frouin, J.-B. Poline, G. Antoniu, B. Thirion.
Machine Learning Patterns for Neuroimaging-Genetic Studies in the Cloud, in: Frontiers in Neuroinformatics, April 2014, vol. 8.
https://hal.inria.fr/hal-01057325
[3]
M. Dorier, G. Antoniu, F. Cappello, M. Snir, L. Orf.
Damaris: How to Efficiently Leverage Multicore Parallelism to Achieve Scalable, Jitter-free I/O, in: CLUSTER - IEEE International Conference on Cluster Computing, Beijing, China, IEEE, September 2012.
https://hal.inria.fr/hal-00715252
[4]
M. Dorier, G. Antoniu, R. Ross, D. Kimpe, S. Ibrahim.
CALCioM: Mitigating I/O Interference in HPC Systems through Cross-Application Coordination, in: IPDPS - International Parallel and Distributed Processing Symposium, Phoenix, United States, May 2014.
https://hal.inria.fr/hal-00916091
[5]
M. Dorier, S. Ibrahim, G. Antoniu, R. Ross.
Omnisc'IO: A Grammar-Based Approach to Spatial and Temporal I/O Patterns Prediction, in: SC'14 - International Conference for High Performance Computing, Networking, Storage and Analysis, New Orleans, United States, IEEE, ACM, November 2014.
https://hal.inria.fr/hal-01025670
[6]
M. Dorier, S. Ibrahim, G. Antoniu, R. Ross.
Using Formal Grammars to Predict I/O Behaviors in HPC: the Omnisc'IO Approach, in: TPDS - IEEE Transactions on Parallel and Distributed Systems, October 2015. [ DOI : 10.1109/TPDS.2015.2485980 ]
https://hal.inria.fr/hal-01238103
[7]
B. Nicolae, G. Antoniu, L. Bougé, D. Moise, A. Carpen-Amarie.
BlobSeer: Next-Generation Data Management for Large-Scale Infrastructures, in: JPDC - Journal of Parallel and Distributed Computing, February 2011, vol. 71, no 2, pp. 169–184.
http://hal.inria.fr/inria-00511414/en/
[8]
B. Nicolae, J. Bresnahan, K. Keahey, G. Antoniu.
Going Back and Forth: Efficient Multi-Deployment and Multi-Snapshotting on Clouds, in: HPDC 2011 - The 20th International ACM Symposium on High-Performance Parallel and Distributed Computing, San José, CA, United States, June 2011.
http://hal.inria.fr/inria-00570682/en
[9]
V.-T. Tran, B. Nicolae, G. Antoniu.
Towards Scalable Array-Oriented Active Storage: the Pyramid Approach, in: ACM Operating Systems Review, 2012, vol. 46, no 1, pp. 19–25.
https://hal.inria.fr/hal-00640900
[10]
R. Tudoran, A. Costan, G. Antoniu.
OverFlow: Multi-Site Aware Big Data Management for Scientific Workflows on Clouds, in: IEEE Transactions on Cloud Computing, June 2015. [ DOI : 10.1109/TCC.2015.2440254 ]
https://hal.inria.fr/hal-01239128
Publications of the year

Articles in International Peer-Reviewed Journals

[11]
M. Dorier, S. Ibrahim, G. Antoniu, R. Ross.
Using Formal Grammars to Predict I/O Behaviors in HPC: the Omnisc'IO Approach, in: IEEE Transactions on Parallel and Distributed Systems, 2015. [ DOI : 10.1109/TPDS.2015.2485980 ]
https://hal.inria.fr/hal-01238103
[12]
S. Ibrahim, T.-D. Phan, A. Carpen-Amarie, H.-E. Chihoub, D. Moise, G. Antoniu.
Governing Energy Consumption in Hadoop through CPU Frequency Scaling: an Analysis, in: Future Generation Computer Systems, February 2015, 14 p. [ DOI : 10.1016/j.future.2015.01.005 ]
https://hal.inria.fr/hal-01166252
[13]
V. N. Serbanescu, F. Pop, V. Cristea, G. Antoniu.
A formal method for rule analysis and validation in distributed data aggregation service, in: World Wide Web, November 2015, vol. 18, no 6, pp. 1717–1736. [ DOI : 10.1007/s11280-015-0334-4 ]
https://hal.archives-ouvertes.fr/hal-01249152
[14]
R. Tudoran, A. Costan, G. Antoniu.
OverFlow: Multi-Site Aware Big Data Management for Scientific Workflows on Clouds, in: IEEE Transactions on Cloud Computing, 2015. [ DOI : 10.1109/TCC.2015.2440254 ]
https://hal.inria.fr/hal-01239128
[15]
R. Tudoran, A. Costan, O. Nano, I. Santos, H. Soncu, G. Antoniu.
JetStream: Enabling high throughput live event streaming on multi-site clouds, in: Future Generation Computer Systems, 2015, vol. 54. [ DOI : 10.1016/j.future.2015.01.016 ]
https://hal.inria.fr/hal-01239124

International Conferences with Proceedings

[16]
N. Cheriere, P. Donat-Bouillud, S. Ibrahim, M. Simonin.
On the Usability of Shortest Remaining Time First Policy in Shared Hadoop Clusters, in: SAC 2016-The 31st ACM/SIGAPP Symposium on Applied Computing, Pisa, Italy, April 2016.
https://hal.inria.fr/hal-01239341
[17]
H.-E. Chihoub, S. Ibrahim, Y. Li, G. Antoniu, M. Pérez, L. Bougé.
Exploring Energy-Consistency Trade-offs in Cassandra Cloud Storage System, in: SBAC-PAD'15-The 27th International Symposium on Computer Architecture and High Performance Computing, Florianopolis, Santa Catarina, Brazil, October 2015.
https://hal.inria.fr/hal-01184235
[18]
M. Dorier, M. Dreher, T. Peterka, G. Antoniu, B. Raffin, J. M. Wozniak.
Lessons Learned from Building In Situ Coupling Frameworks, in: First Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, Austin, United States, November 2015. [ DOI : 10.1145/2828612.2828622 ]
https://hal.inria.fr/hal-01224846
[19]
S. Ibrahim, T. A. Phuong, G. Antoniu.
An Eye on the Elephant in the Wild: A Performance Evaluation of Hadoop's Schedulers Under Failures, in: ARMS-CC'15-The second workshop on Adaptive Resource Management and Scheduling for Cloud Computing, held in conjunction with PODC 2015,, Donostia-San Sebastián, Spain, July 2015.
https://hal.inria.fr/hal-01184236
[20]
B. Memishi, M. S. Pérez-Hernández, G. Antoniu.
Diarchy: An Optimized Management Approach for MapReduce Masters, in: ICCS 2015: Proceedings of the International Conference on Computational Science, Computational Science at the Gates of Nature, Reykjavík, Iceland, June 2015, pp. 9–18. [ DOI : 10.1016/j.procs.2015.05.179 ]
https://hal.archives-ouvertes.fr/hal-01249151
[21]
T.-D. Phan, S. Ibrahim, G. Antoniu, L. Bougé.
On Understanding the Energy Impact of Speculative Execution in Hadoop, in: GreenCom'15-The 2015 IEEE International Conference on Green Computing and Communications, Sydney, Australia, December 2015.
https://hal.inria.fr/hal-01238055
[22]
L. Pineda-Morales, A. Costan, G. Antoniu.
Towards Multi-site Metadata Management for Geographically Distributed Cloud Workflows, in: CLUSTER 2015 - IEEE International Conference on Cluster Computing, Chicago, United States, September 2015. [ DOI : 10.1109/CLUSTER.2015.49 ]
https://hal.inria.fr/hal-01239150
[23]
O. Yildiz, S. Ibrahim, T. A. Phuong, G. Antoniu.
Chronos: Failure-Aware Scheduling in Shared Hadoop Clusters, in: BigData'15-The 2015 IEEE International Conference on Big Data, Santa Clara, CA, United States, October 2015.
https://hal.inria.fr/hal-01203001

Conferences without Proceedings

[24]
R.-I. Roman, B. Nicolae, A. Costan, G. Antoniu.
Understanding Spark Performance in Hybrid and Multi-Site Clouds, in: 6th International Workshop on Big Data Analytics: Challenges and Opportunities (BDAC-15), Austin, TX, United States, November 2015.
https://hal.inria.fr/hal-01239140

Internal Reports

[25]
M. Dorier, S. Ibrahim, G. Antoniu, R. Ross.
On the Use of Formal Grammars to Predict HPC I/O Behaviors, ENS Rennes ; Inria Rennes Bretagne Atlantique ; Argonne National Laboratory ; Inria, August 2015, no RR-8725.
https://hal.inria.fr/hal-01149941
[26]
A. Lebre, J. Pastor, . The DISCOVERY Consortium.
The DISCOVERY Initiative - Overcoming Major Limitations of Traditional Server-Centric Clouds by Operating Massively Distributed IaaS Facilities, Inria, September 2015, no RR-8779, 14 p.
https://hal.inria.fr/hal-01203648
[27]
P. Matri, A. Costan, G. Antoniu, J. Montes, M. Pérez.
Týr: Efficient Transactional Storage for Data-Intensive Applications, Inria Rennes Bretagne Atlantique ; Universidad Politécnica de Madrid, January 2016, no RT-0473, 25 p.
https://hal.inria.fr/hal-01256563

Other Publications

[28]
L. Pineda-Morales, B. Subramaniam, K. Keahey, G. Antoniu, A. Costan, S. Wang, A. Padmanabhan, A. Soliman.
Scaling Smart Appliances for Spatial Data Synthesis, November 2015, SC15 - ACM/IEEE International Conference in Supercomputing, Poster.
https://hal.inria.fr/hal-01241718
References in notes
[29]
Amazon Elastic MapReduce, 2010.
http://aws.amazon.com/elasticmapreduce/
[30]
European Exascale Software Initiative, 2013.
http://www.eesi-project.eu
[31]
The European Technology Platform for High-Performance Computing, 2012.
http://www.etp4hpc.eu
[32]
International Exascale Software Program, 2011.
http://www.exascale.org/iesp/Main_Page
[33]
J. Dean, S. Ghemawat.
MapReduce: simplified data processing on large clusters, in: Communications of the ACM, 2008, vol. 51, no 1, pp. 107–113.
[34]
B. Nicolae, D. Moise, G. Antoniu, L. Bougé, M. Dorier.
BlobSeer: Bringing High Throughput under Heavy Concurrency to Hadoop Map-Reduce Applications, in: 24th IEEE International Parallel and Distributed Processing Symposium (IPDPS 2010), Atlanta, GA, USA, IEEE and ACM, April 2010, A preliminary version of this paper has been published as Inria Research Report RR-7140.