Bibliography
Major publications by the team in recent years
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1G. Antoniu, L. Cudennec, M. Jan, M. Duigou.
Performance scalability of the JXTA P2P framework, in: Proc. IEEE International Parallel and Distributed Processing Symposium (IPDPS 2007), Long Beach, USA, 2007, 108 p.
http://hal.inria.fr/inria-00178653/en/ -
2G. Antoniu, J.-F. Deverge, S. Monnet.
How to bring together fault tolerance and data consistency to enable grid data sharing, in: Concurrency and Computation: Practice and Experience, 2006, no 17, pp. 1-19.
http://hal.inria.fr/inria-00000987/en/ -
3A. Costan, R. Tudoran, G. Antoniu, G. Brasche.
TomusBlobs: Scalable Data-intensive Processing on Azure Clouds, in: Concurrency and Computation Practice and Experience, 2013, To appear.
http://hal.inria.fr/hal-00767034 -
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.
http://hal.inria.fr/hal-00715252 -
5R. Morales, S. Monnet, I. Gupta, G. Antoniu.
MOve:Design and Evaluation of A Malleable Overlay for Group-Based Applications, in: IEEE Transactions on Network and Service Management, Special Issue on Self-Management, 2007, vol. 4, pp. 107-116. [ DOI : 10.1109/TNSM.2007.070903 ]
http://hal.inria.fr/inria-00446067/en/ -
6B. Nicolae, G. Antoniu, L. Bougé, D. Moise, A. Carpen-Amarie.
BlobSeer: Next Generation Data Management for Large Scale Infrastructures, in: Journal of Parallel and Distributed Computing, February 2011, vol. 71, no 2, pp. 169-184, Special issue on data intensive computing.
http://hal.inria.fr/inria-00511414/en/ -
7B. Nicolae, J. Bresnahan, K. Keahey, G. Antoniu.
Going Back and Forth: Efficient Multi-Deployment and Multi-Snapshotting on Clouds, in: The 20th International ACM Symposium on High-Performance Parallel and Distributed Computing (HPDC 2011), San José, CA, United States, June 2011, Selection rate: 12.9%.
http://hal.inria.fr/inria-00570682/en -
8B. 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, IEEE and ACM, Apr 2010, A preliminary version of this paper has been published as Inria Research Report RR-7140.
http://hal.inria.fr/inria-00456801 -
9V.-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. [ DOI : 10.1145/2146382.2146387 ]
http://hal.inria.fr/hal-00640900 -
10R. Tudoran, A. Costan, G. Antoniu, H. Soncu.
TomusBlobs: Towards Communication-Efficient Storage for MapReduce Applications in Azure, in: 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid'2012), Ottawa, Canada, 2012, A-Brain project, Inria-Microsoft Research Joint Centre.
http://hal.inria.fr/hal-00670725
Doctoral Dissertations and Habilitation Theses
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11H.-E. Chihoub.
Managing Consistency for Big Data Applications on Clouds: Tradeoffs and Self Adaptiveness, École normale supérieure de Cachan - ENS Cachan, December 2013.
http://hal.inria.fr/tel-00915091 -
12V.-T. Tran.
Scalable data-management systems for Big Data, École normale supérieure de Cachan - ENS Cachan, January 2013.
http://hal.inria.fr/tel-00920432 -
13V.-T. Tran.
Sur le passage à l'échelle des systèmes de gestion des grandes masses de données, École normale supérieure de Cachan - ENS Cachan, January 2013.
http://hal.inria.fr/tel-00783724
Articles in International Peer-Reviewed Journals
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14G. Antoniu, J. Bigot, C. Blanchet, L. Bougé, F. Briant, F. Cappello, A. Costan, F. Desprez, G. Fedak, S. Gault, K. Keahey, B. Nicolae, C. Pérez, A. Simonet, F. Suter, B. Tang, R. Terreux.
Towards Scalable Data Management for Map-Reduce-based Data-Intensive Applications on Cloud and Hybrid Infrastructures, in: International Journal of Cloud Computing (IJCC), 2013, vol. 2, no 2/3. [ DOI : 10.1504/IJCC.2013.055265 ]
http://hal.inria.fr/hal-00767029 -
15A. Costan, R. Tudoran, G. Antoniu, G. Brasche.
TomusBlobs: Scalable Data-intensive Processing on Azure Clouds, in: Concurrency and Computation: Practice and Experience, 2013.
http://hal.inria.fr/hal-00767034 -
16S. Ibrahim, H. Jin, L. Lu, B. He, G. Antoniu, S. Wu.
Handling Partitioning Skew in MapReduce using LEEN, in: Peer-to-Peer Networking and Applications, 2013.
http://hal.inria.fr/hal-00822973 -
17H. Jin, X. Ling, S. Ibrahim, S. Wu, W. Cao, G. Antoniu.
Flubber: Two-level Disk Scheduling in Virtualized Environment, in: Future Generation Computer Systems, 2013.
http://hal.inria.fr/hal-00784889
International Conferences with Proceedings
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18G. Antoniu, T. Boku, C. Calvin, P. Codognet, M. Dayde, N. Emad, Y. Ishikawa, S. Matsuoka, K. Nakajima, H. Nakashima, R. Namyst, S. Petiton, T. Sakurai, M. Sato.
Towards exascale with the ANR-JST japanese-french project FP3C (Framework and Programming for Post- Petascale Computing), in: 9th International Conference on Computer Science and Information Technologies, Yerevan, Armenia, 2013.
http://hal.inria.fr/hal-00922754 -
19H.-E. Chihoub.
Self-Adaptive Cost-Efficient Consistency Management in the Cloud, in: 27th IEEE International Parallel & Distributed Processing Symposium IPDPS 2013 PhD Forum, Boston, United States, May 2013.
http://hal.inria.fr/hal-00823664 -
20H.-E. Chihoub, S. Ibrahim, G. Antoniu, M. Pérez.
Consistency in the Cloud:When Money Does Matter!, in: CCGRID 2013- 13th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, Delft, Netherlands, May 2013.
http://hal.inria.fr/hal-00789013 -
21M. 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.
http://hal.inria.fr/hal-00916091 -
22M. Dorier.
Efficient I/O using Dedicated Cores in Large-Scale HPC Simulations, in: IPDPS PhD forum - International Parallel and Distributed Processing Symposium, PhD forum, Boston, MA, United States, IEEE, May 2013. [ DOI : 10.1109/IPDPSW.2013.101 ]
http://hal.inria.fr/hal-00831296 -
23M. Dorier, R. Sisneros, T. Peterka, G. Antoniu, D. Semeraro.
Damaris/Viz: a Nonintrusive, Adaptable and User-Friendly In Situ Visualization Framework, in: LDAV - IEEE Symposium on Large-Scale Data Analysis and Visualization, Atlanta, United States, October 2013.
http://hal.inria.fr/hal-00859603 -
24X. Ling, S. Ibrahim, H. Jin, S. Wu, T. Songqiao.
Exploiting Spatial Locality to Improve Disk Efficiency in Virtualized Environments, in: IEEE 21st International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems (Mascots 2013), San Francisco, United States, July 2013.
http://hal.inria.fr/hal-00842076 -
25R. Tudoran, A. Costan, G. Antoniu.
DataSteward: Using Dedicated Compute Nodes for Scalable Data Management on Public Clouds, in: Proceedings of the 2013 12th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, Melbourne, Australia, IEEE, July 2013, pp. 1057–1064. [ DOI : 10.1109/TrustCom.2013.129 ]
http://hal.inria.fr/hal-00927283 -
26R. Tudoran, A. Costan, R. Ramin Rezai, G. Brasche, G. Antoniu.
Adaptive File Management for Scientific Workflows on the Azure Cloud, in: IEEE Big Data, Santa Clara, United States, IEEE, October 2013, pp. 273 - 281.
http://hal.inria.fr/hal-00926748
Scientific Books (or Scientific Book chapters)
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27H.-E. Chihoub, S. Ibrahim, G. Antoniu, M. Pérez.
Consistency Management in Cloud Storage Systems, in: Advances in data processing techniques in the era of Big Data, S. Sherif, G. Mohamed Medhat (editors), CRC Press, 2013.
http://hal.inria.fr/hal-00784885
Internal Reports
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28H.-E. Chihoub, M. Pérez, G. Antoniu, L. Bougé.
Chameleon: Customized Application-Specific Consistency by means of Behavior Modeling, October 2013.
http://hal.inria.fr/hal-00875947 -
29M. Dorier, R. Sisneros, T. Peterka, G. Antoniu, D. Semeraro.
A Nonintrusive, Adaptable and User-Friendly In Situ Visualization Framework, Inria, June 2013, no RR-8314, 26 p.
http://hal.inria.fr/hal-00831265
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30Amazon Elastic MapReduce.
http://aws.amazon.com/elasticmapreduce/ -
31European Exascale Software Initiative, 2013.
http://www.eesi-project.eu -
32International Exascale Software Program, 2011.
http://www.exascale.org/iesp/Main_Page -
33G. H. Bryan, J. M. Fritsch.
A Benchmark Simulation for Moist Nonhydrostatic Numerical Models, in: Monthly Weather Review, 2002, vol. 130, no 12, pp. 2917–2928.
http://journals.ametsoc.org/doi/abs/10.1175/1520-0493(2002)130<2917:ABSFMN>2.0.CO;2 -
34J. Dean, S. Ghemawat.
MapReduce: simplified data processing on large clusters, in: Communications of the ACM, 2008, vol. 51, no 1, pp. 107–113. -
35P. F. Fischer, J. W. Lottes, S. G. Kerkemeier.
nek5000 Web page, 2008.
http://nek5000.mcs.anl.gov -
36B. 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.
http://hal.inria.fr/inria-00456801/en/