Bibliography
Major publications by the team in recent years
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1N. Cheriere, M. Dorier.
Design and Evaluation of Topology-aware Scatter and AllGather Algorithms for Dragonfly Networks, November 2016, Supercomputing 2016, Poster.
https://hal.inria.fr/hal-01400271 -
2A. 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 -
3B. 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 -
4M. 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 -
5M. 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.
https://hal.inria.fr/hal-01353890 -
6M. 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 -
7M. 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 ]
https://hal.inria.fr/hal-01224846 -
8M. 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.
https://hal.inria.fr/hal-01025670 -
9M. 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 -
10P. Matri, A. Costan, G. Antoniu, J. Montes, M. S. Pérez-Hernández.
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.
https://hal.inria.fr/hal-01347652 -
11B. 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/ -
12B. 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 -
13R. 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
Doctoral Dissertations and Habilitation Theses
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14O.-C. Marcu.
KerA: A Unified Ingestion and Storage System for Scalable Big Data Processing, INSA Rennes, December 2018.
https://tel.archives-ouvertes.fr/tel-01972280 -
15M. Y. Taleb.
Optimizing Distributed In-memory Storage Systems˸ Fault-tolerance, Performance, Energy Efficiency, École normale supérieure de Rennes, October 2018.
https://tel.archives-ouvertes.fr/tel-01891897
Articles in International Peer-Reviewed Journals
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16J. Carretero, J. Garcia-Blas, G. Antoniu, D. Petcu.
New directions in mobile, hybrid, and heterogeneous clouds for cyberinfrastructures, in: Future Generation Computer Systems, October 2018, vol. 87, pp. 615 - 617. [ DOI : 10.1016/j.future.2018.05.073 ]
https://hal.archives-ouvertes.fr/hal-01892931 -
17J. Liu, L. Pineda, E. Pacitti, A. Costan, P. Valduriez, G. Antoniu, M. Mattoso.
Efficient Scheduling of Scientific Workflows using Hot Metadata in a Multisite Cloud, in: IEEE Transactions on Knowledge and Data Engineering, 2018, pp. 1-20. [ DOI : 10.1109/TKDE.2018.2867857 ]
https://hal-lirmm.ccsd.cnrs.fr/lirmm-01867717 -
18P. Matri, Y. Alforov, A. Brandon, M. S. Pérez-Hernández, A. Costan, G. Antoniu, M. Kuhn, P. Carns, T. Ludwig.
Mission Possible: Unify HPC and Big Data Stacks Towards Application-Defined Blobs at the Storage Layer, in: Future Generation Computer Systems, July 2018, pp. 1-10. [ DOI : 10.1016/j.future.2018.07.035 ]
https://hal.archives-ouvertes.fr/hal-01892682 -
19P. Matri, M. S. Pérez-Hernández, A. Costan, L. Bougé, G. Antoniu.
Keeping up with storage: Decentralized, write-enabled dynamic geo-replication, in: Future Generation Computer Systems, September 2018, vol. 86, pp. 1093-1105. [ DOI : 10.1016/j.future.2017.06.009 ]
https://hal.inria.fr/hal-01617658 -
20F. Pop, R. Prodan, G. Antoniu.
RM-BDP: Resource management for Big Data platforms, in: Future Generation Computer Systems, September 2018, vol. 86, pp. 961 - 963. [ DOI : 10.1016/j.future.2018.05.018 ]
https://hal.archives-ouvertes.fr/hal-01892942
International Conferences with Proceedings
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21O.-C. Marcu, A. Costan, G. Antoniu, M. S. Pérez-Hernández, B. Nicolae, R. Tudoran, S. Bortoli.
KerA: Scalable Data Ingestion for Stream Processing, in: ICDCS 2018 - 38th IEEE International Conference on Distributed Computing Systems, Vienna, Austria, IEEE, July 2018, pp. 1480-1485. [ DOI : 10.1109/ICDCS.2018.00152 ]
https://hal.inria.fr/hal-01773799 -
22P. Matri, M. S. Pérez-Hernández, A. Costan, G. Antoniu.
TýrFS: Increasing Small Files Access Performance with Dynamic Metadata Replication, in: CCGRID 2018 - 18th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Washington, United States, IEEE, May 2018, pp. 452-461. [ DOI : 10.1109/CCGRID.2018.00072 ]
https://hal.archives-ouvertes.fr/hal-01892691 -
23M. Y. Taleb, R. Stutsman, G. Antoniu, T. Cortes.
Tailwind: Fast and Atomic RDMA-based Replication, in: ATC ‘18 - USENIX Annual Technical Conference, Boston, United States, July 2018, pp. 850-863.
https://hal.inria.fr/hal-01676502
Conferences without Proceedings
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24N. Cheriere, M. Dorier, G. Antoniu.
Pufferbench: Evaluating and Optimizing Malleability of Distributed Storage, in: PDSW-DISCS 2018: 3rd Joint International workshop on Parallel Data Storage & Data Intensive Scalable computing Systems, Dallas, United States, November 2018, pp. 1-10.
https://hal.archives-ouvertes.fr/hal-01892713 -
25P. Matri, P. Carns, R. Ross, A. Costan, M. S. Pérez-Hernández, G. Antoniu.
SLoG: Large-Scale Logging Middleware for HPC and Big Data Convergence, in: ICDCS 2018 - IEEE 38th International Conference on Distributed Computing Systems, Vienna, Austria, IEEE, July 2018, pp. 1-6. [ DOI : 10.1109/ICDCS.2018.00156 ]
https://hal.archives-ouvertes.fr/hal-01892685 -
26L. Prosperi, A. Costan, P. Silva, G. Antoniu.
Planner: Cost-efficient Execution Plans Placement for Uniform Stream Analytics on Edge and Cloud, in: WORKS 2018: 13th Workflows in Support of Large-Scale Science Workshop, held in conjunction with the IEEE/ACM SC18 conference, Dallas, United States, November 2018, pp. 1-10.
https://hal.archives-ouvertes.fr/hal-01892718
Books or Proceedings Editing
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27D. Blanco Heras, L. Bougé, E. Jeannot, R. Sakellariou, R. M. Badia, J. G. Barbosa, L. Ricci, S. L. Scott, S. Lankes, J. Weidendorfer (editors)
Euro-Par 2017 International Workshops, Santiago de Compostela, Spain, August 28-29, 2017, Revised Selected Papers, Lecture Notes in Computer Science, Springer, Santiago de Compostella, Spain, 2018, vol. 10659. [ DOI : 10.1007/978-3-319-75178-8 ]
https://hal.inria.fr/hal-01962797
Internal Reports
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28N. Cheriere, M. Dorier, G. Antoniu.
A Lower Bound for the Commission Times in Replication-Based Distributed Storage Systems, Inria Rennes - Bretagne Atlantique, June 2018, no RR-9186, pp. 1-26.
https://hal.archives-ouvertes.fr/hal-01817638 -
29N. Cheriere, M. Dorier, G. Antoniu.
Lower Bounds for the Duration of Decommission Operations with Relaxed Fault Tolerance in Replication-based Distributed Storage Systems, Inria Rennes - Bretagne Atlantique, December 2018, no RR-9229, pp. 1-28.
https://hal.archives-ouvertes.fr/hal-01943964 -
30O.-C. Marcu, A. Costan, G. Antoniu, M. S. Pérez-Hernández, R. Tudoran, S. Bortoli, B. Nicolae.
Storage and Ingestion Systems in Support of Stream Processing: A Survey, Inria Rennes - Bretagne Atlantique and University of Rennes 1, France, November 2018, no RT-0501, pp. 1-33.
https://hal.inria.fr/hal-01939280
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31Amazon Elastic Map-Reduce (EMR), 2017.
https://aws.amazon.com/emr/ -
32Damaris: An Asynchronous Data Aggregator Middleware in Support of HDF5 Library, 2018.
https://www.hdfgroup.org/2018/06/damaris-an-asynchronous-data-aggregator-middleware-in-support-of-hdf5-library/ -
33The Decaf Project, 2017.
https://bitbucket.org/tpeterka1/decaf -
34Digital Single Market, 2015.
https://ec.europa.eu/digital-single-market/en/digital-single-market -
35European Exascale Software Initiative, 2013.
http://www.eesi-project.eu -
36The European Technology Platform for High-Performance Computing, 2012.
http://www.etp4hpc.eu -
37European Cloud Strategy, 2012.
https://ec.europa.eu/digital-single-market/en/european-cloud-computing-strategy -
38Apache Flink, 2016.
http://flink.apache.org -
39International Exascale Software Program, 2011.
http://www.exascale.org/iesp/Main_Page -
40Scientific challenges of the Inria Rennes-Bretagne Atlantique research centre, 2016.
https://www.inria.fr/en/centre/rennes/research -
41Inria's strategic plan "Towards Inria 2020", 2016.
https://www.inria.fr/en/institute/strategy/strategic-plan -
42Joint Laboratory for Extreme Scale Computing (JLESC), 2017.
https://jlesc.github.io -
43Apache Spark, 2017.
http://spark.apache.org -
44Storm, 2014.
http://storm.apache.org -
45The FlowVR Project, 2014.
http://flowvr.sourceforge.net/ -
46T. 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. -
47J. Dean, S. Ghemawat.
MapReduce: simplified data processing on large clusters, in: Communications of the ACM, 2008, vol. 51, no 1, pp. 107–113. -
48S. Wilde, M. Hategan, J. M. Wozniak, B. Clifford, D. Katz, I. T. Foster.
Swift: A language for distributed parallel scripting, in: Parallel Computing, 2011, vol. 37, no 9, pp. 633–652.
http://dx.doi.org/10.1016/j.parco.2011.05.005