Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Partnerships and Cooperations
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Major publications by the team in recent years
N. Cheriere, M. Dorier.
Design and Evaluation of Topology-aware Scatter and AllGather Algorithms for Dragonfly Networks, November 2016, Supercomputing 2016, Poster.
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.
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.
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.
M. Dorier, G. Antoniu, F. Cappello, M. Snir, R. Sisneros, O. Yildiz, S. Ibrahim, T. Peterka, L. Orf.
Damaris: Addressing Performance Variability in Data Management for Post-Petascale Simulations, in: ACM Transactions on Parallel Computing, 2016.
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.
M. Dorier, M. Dreher, T. Peterka, G. Antoniu, B. Raffin, J. M. Wozniak.
Lessons Learned from Building In Situ Coupling Frameworks, in: ISAV 2015 - First Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization (held in conjunction with SC15), Austin, United States, November 2015. [ DOI : 10.1145/2828612.2828622 ]
M. Dorier, S. Ibrahim, G. Antoniu, R. Ross.
Omnisc'IO: A Grammar-Based Approach to Spatial and Temporal I/O Patterns Prediction, in: SC14 - International Conference for High Performance Computing, Networking, Storage and Analysis, New Orleans, United States, IEEE, ACM, November 2014.
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 ]
P. Matri, A. Costan, G. Antoniu, J. Montes, M. S. Pérez.
Týr: Blob Storage Meets Built-In Transactions, in: IEEE ACM SC16 - The International Conference for High Performance Computing, Networking, Storage and Analysis 2016, Salt Lake City, United States, November 2016.
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.
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.
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 ]
Publications of the year

Doctoral Dissertations and Habilitation Theses

N. Cheriere.
Towards Malleable Distributed Storage Systems: From Models to Practice, École normale supérieure de Rennes, November 2019.
A. Costan.
From Big Data to Fast Data: Efficient Stream Data Management, ENS Rennes, March 2019, Habilitation à diriger des recherches.

Invited Conferences

G. Antoniu, A. Costan, O.-C. Marcu.
ZettaFlow: Towards High-Performance ML-based Analytics across the Digital Continuum, in: BDEC2 2019 - Workshop on Big Data and Extreme-scale Computing, San Diego, United States, San Diego Supercomputing Center, October 2019, 4 p.
G. Antoniu, A. Costan, O.-C. Marcu, M. Hernández-Pérez, N. Stojanovic.
Towards a demonstrator of the Sigma Data Processing Architecture for BDEC 2, in: BDEC2 2019 - Workshop on Big Data and Extreme-scale Computing, Poznan, Poland, Poznan Supercomputing and Networking Center, May 2019, 4 p.

International Conferences with Proceedings

N. Cheriere, M. Dorier, G. Antoniu.
Is it Worth Relaxing Fault Tolerance to Speed Up Decommission in Distributed Storage Systems?, in: CCGrid 2019 - IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing, Larnaca, Cyprus, IEEE, May 2019, pp. 1-10. [ DOI : 10.1109/CCGRID.2019.00024 ]
P. Silva, A. Costan, G. Antoniu.
Investigating Edge vs. Cloud Computing Trade-offs for Stream Processing, in: BigData 2019 - IEEE International Conference on Big Data, Los Angeles, United States, IEEE, December 2019.
P. Silva, A. Costan, G. Antoniu.
Towards a Methodology for Benchmarking Edge Processing Frameworks, in: IPDPSW 2019 - IEEE International Parallel and Distributed Processing Symposium Workshops, Rio de Janeiro, Brazil, IEEE, May 2019, pp. 904-907. [ DOI : 10.1109/IPDPSW.2019.00149 ]

Other Publications

K. Fauvel, D. Balouek-Thomert, D. Melgar, P. Silva, A. Simonet, G. Antoniu, A. Costan, V. Masson, M. Parashar, I. Rodero, A. Termier.
A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning, November 2019, working paper or preprint.
References in notes
Amazon Elastic Map-Reduce (EMR), 2017.
Digital Single Market, 2015.
European Exascale Software Initiative, 2013.
The European Technology Platform for High-Performance Computing, 2012.
European Cloud Strategy, 2012.
Apache Flink, 2016.
International Exascale Software Program, 2011.
Scientific challenges of the Inria Rennes-Bretagne Atlantique research centre, 2016.
Inria's strategic plan "Towards Inria 2020", 2016.
Joint Laboratory for Extreme Scale Computing (JLESC), 2017.
Apache Spark, 2017.
Storm, 2014.
T. Akidau, A. Balikov, K. Bekiroğlu, S. Chernyak, J. Haberman, R. Lax, S. McVeety, D. Mills, P. Nordstrom, S. Whittle.
MillWheel: fault-tolerant stream processing at internet scale, in: Proceedings of the VLDB Endowment, 2013, vol. 6, no 11, pp. 1033–1044.
J. Dean, S. Ghemawat.
MapReduce: simplified data processing on large clusters, in: Communications of the ACM, 2008, vol. 51, no 1, pp. 107–113.