Bibliography

Major publications by the team in recent years

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, n^o 17, p. 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, p. 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, n^o 2, p. 169-184, Special issue on data intensive computing. To appear.

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, n^o 1, p. 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

Publications of the year

Articles in International Peer-Reviewed Journals

11G. 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, To appear.

http://hal.inria.fr/hal-00767029
12G. Antoniu, A. Costan, B. Da Mota, B. Thirion, R. Tudoran.

A-Brain: Using the Cloud to Understand the Impact of Genetic Variability on the Brain, in: ERCIM News, April 2012, p. 21-22.

http://hal.inria.fr/hal-00684384
13A. Carpen-Amarie, A. Costan, C. Leordeanu, C. Basescu, G. Antoniu.

Towards a Generic Security Framework for Cloud Data Management Environments, in: International Journal of Distributed Systems and Technologies (IJDST), Special Issue on Security, Privacy and Trust, 2012.

http://hal.inria.fr/hal-00670923
14A. 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
15V.-T. Tran, B. Nicolae, G. Antoniu.

Towards Scalable Array-Oriented Active Storage: the Pyramid Approach, in: ACM Operating Systems Review, 2012, vol. 46, n^o 1, p. 19-25. [ DOI : 10.1145/2146382.2146387 ]

http://hal.inria.fr/hal-00640900

International Conferences with Proceedings

16G. 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: 1st International IBM Cloud Academy Conference - ICA CON 2012, Research Triangle Park, North Carolina, États-Unis, 2012.

http://hal.inria.fr/hal-00684866
17H.-E. Chihoub, S. Ibrahim, G. Antoniu, M. Pérez.

Harmony: Towards Automated Self-Adaptive Consistency in Cloud Storage, in: 2012 IEEE International Conference on Cluster Computing, Beijing, Chine, IEEE, September 2012.

http://hal.inria.fr/hal-00734050
18M. 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, Chine, IEEE, September 2012.

http://hal.inria.fr/hal-00715252
19S. Ibrahim, H. Jin, L. Lu, B. He, G. Antoniu, S. Wu.

Maestro: Replica-Aware Map Scheduling for MapReduce, in: The 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID'2012), Ottawa, Canada, 2012.

http://hal.inria.fr/hal-00670813
20D. Moise, G. Antoniu, L. Bougé.

On-the-fly Task Execution for Speeding Up Pipelined MapReduce, in: Euro-Par - 18th International European Conference on Parallel and Distributed Computing - 2012, Rhodes Island, Grèce, August 2012.

http://hal.inria.fr/hal-00706844
21R. Tudoran, A. Costan, G. Antoniu, L. Bougé.

A Performance Evaluation of Azure and Nimbus Clouds for Scientific Applications, in: CloudCP 2012 – 2nd International Workshop on Cloud Computing Platforms, Held in conjunction with the ACM SIGOPS Eurosys 12 conference, Bern, Suisse, 2012, To appear.

http://hal.inria.fr/hal-00677842
22R. 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.

http://hal.inria.fr/hal-00670725
23R. Tudoran, A. Costan, G. Antoniu.

MapIterativeReduce: A Framework for Reduction-Intensive Data Processing on Azure Clouds, in: Third International Workshop on MapReduce and its Applications (MAPREDUCE'12), held in conjunction with ACM HPDC'12, Delft, Pays-Bas, 2012, To appear.

http://hal.inria.fr/hal-00684814

Internal Reports

24L.-C. Canon, G. Antoniu.

Scheduling Associative Reductions with Homogeneous Costs when Overlapping Communications and Computations, Inria, March 2012, n^o RR-7898.

http://hal.inria.fr/hal-00675964
25H.-E. Chihoub, S. Ibrahim, G. Antoniu, M. Pérez.

Consistency in the Cloud:When Money Does Matter!, Inria, November 2012.

http://hal.inria.fr/hal-00756314
26M. Dorier, G. Antoniu, F. Cappello, M. Snir, L. Orf.

Damaris: Leveraging Multicore Parallelism to Mask I/O Jitter, Inria, April 2012, n^o RR-7706, 36 p.

http://hal.inria.fr/inria-00614597
27V.-T. Tran, D. Narayanan, G. Antoniu, L. Bougé.

DStore: An in-memory document-oriented store, Inria, December 2012, n^o RR-8188, 24 p.

http://hal.inria.fr/hal-00766219

References in notes

28Amazon Elastic MapReduce.

http://aws.amazon.com/elasticmapreduce/
29European Exascale Software Initiative.

http://www.eesi-project.eu
30International Exascale Software Program.

http://www.exascale.org/iesp/Main_Page
31G. H. Bryan, J. M. Fritsch.

A Benchmark Simulation for Moist Nonhydrostatic Numerical Models, in: Monthly Weather Review, 2002, vol. 130, n^o 12, p. 2917–2928. [ DOI : 10.1175/1520-0493(2002)130<2917:ABSFMN>2.0.CO;2 ]

http://journals.ametsoc.org/doi/abs/10.1175/1520-0493%282002%29130%3C2917%3AABSFMN%3E2.0.CO%3B2
32J. Dean, S. Ghemawat.

MapReduce: simplified data processing on large clusters, in: Communications of the ACM, 2008, vol. 51, n^o 1, p. 107–113.
33F. Dinu, T. E. Ng.

Understanding the effects and implications of compute node related failures in hadoop, in: Proceedings of the 21st international symposium on High-Performance Parallel and Distributed Computing, New York, NY, USA, HPDC '12, ACM, 2012, p. 187–198.

http://doi.acm.org/10.1145/2287076.2287108
34P. F. Fischer, J. W. Lottes, S. G. Kerkemeier.

nek5000 Web page, 2008.

http://nek5000.mcs.anl.gov
35Y. Jégou, S. Lantéri, J. Leduc, M. Noredine, G. Mornet, R. Namyst, P. Primet, B. Quetier, O. Richard, E.-G. Talbi, T. Iréa.

Grid'5000: a large scale and highly reconfigurable experimental Grid testbed, in: International Journal of High Performance Computing Applications, November 2006, vol. 20, n^o 4, p. 481-494.
36B. Memishi, M. Perez, G. Antoniu.

Enhanced failure detection mechanism in MapReduce, in: High Performance Computing and Simulation (HPCS), 2012 International Conference on, july 2012, p. 690 -692.

http://dx.doi.org/10.1109/HPCSim.2012.6266995
37B. 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/

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