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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, no 17, p. 1-19.

    http://hal.inria.fr/inria-00000987/en/
  • 3R. 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/
  • 4B. 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, p. 169-184, Special issue on data intensive computing. To appear.

    http://hal.inria.fr/inria-00511414/en/
  • 5B. 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
  • 6B. 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
Publications of the year

Doctoral Dissertations and Habilitation Theses

  • 7A. Carpen-Amarie.

    Utilisation de BlobSeer pour le stockage de données dans les Clouds: auto-adaptation, intégration, évaluation, École normale supérieure de Cachan - ENS Cachan, December 2011.

    http://tel.archives-ouvertes.fr/tel-00653623/en/
  • 8D. Moise.

    Optimisation de la gestion des données pour les applications MapReduce sur des infrastructures distribuées à grande échelle, École normale supérieure de Cachan - ENS Cachan, December 2011.

    http://tel.archives-ouvertes.fr/tel-00653622/en/

Articles in International Peer-Reviewed Journal

  • 9L. Bougé, C. Lengauer.

    Preface for the special issue on Euro-Par 2009, in: Concurrency and Computation: Practice and Experience, February 2011, vol. 23, no 2, p. 143-144. [ DOI : 10.1002/cpe.1649 ]

    http://hal.inria.fr/inria-00555602/en
  • 10L. Bougé, C. Lengauer.

    Preface for the special issue on Euro-Par 2010, in: Concurrency and Computation: Practice and Experience, December 2011, vol. 23, no 17, p. 2137-2139. [ DOI : 10.1002/cpe.1800 ]

    http://hal.inria.fr/hal-00654198/en/
  • 11A. Carpen-Amarie, A. Costan, J. Cai, G. Antoniu, L. Bougé.

    Bringing Introspection into BlobSeer: Towards a Self-Adaptive Distributed Data Management System, in: International Journal of Applied Mathematics & Computer Science, 2011, vol. 21, no 2.

    http://hal.inria.fr/inria-00555610/en
  • 12B. 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, p. 168-184. [ DOI : 10.1016/j.jpdc.2010.08.004 ]

    http://hal.inria.fr/inria-00511414/en
  • 13V.-T. Tran, B. Nicolae, G. Antoniu.

    Towards Scalable Array-Oriented Active Storage: the Pyramid Approach, in: ACM Operating Systems Review (OSR), 2012, Special issue on LADIS 2011, the 5th Workshop on Large Scale Distributed Systems and Middleware..

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

International Conferences with Proceedings

  • 14C. Basescu, A. Carpen-Amarie, C. Leordeanu, A. Costan, G. Antoniu.

    Managing Data Access on Clouds: A Generic Framework for Enforcing Security Policies, in: The 25th International Conference on Advanced Information Networking and Applications (AINA-2011), Singapore, Singapore, Institute for Infocomm Research (I2R) in cooperation with the Singapore Chapter of ACM, March 2011.

    http://hal.inria.fr/inria-00536603/en
  • 15A. Carpen-Amarie.

    Towards a Self-Adaptive Data Management System for Cloud Environments, in: IPDPS PhD Forum, Anchorage, United States, 2011.

    http://hal.inria.fr/inria-00575511/en
  • 16M. Dorier.

    Poster: Damaris - Using Dedicated I/O Cores for Scalable Post-petascale HPC Simulations, in: International Conference on Supercomputing (ICS), Tucson, Arizona, USA, ACM, May 2011. [ DOI : 10.1145/1995896.1995953 ]

    http://hal.inria.fr/hal-00639157/en/
  • 17D. Moise, T.-T.-L. Trieu, G. Antoniu, L. Bougé.

    Optimizing Intermediate Data Management in MapReduce Computations, in: CloudCP 2011 – 1st International Workshop on Cloud Computing Platforms, Held in conjunction with the ACM SIGOPS Eurosys 11 conference, Salzburg, Austria, 2011.

    http://hal.inria.fr/inria-00574351/en
  • 18B. 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
  • 19B. Nicolae, F. Cappello, G. Antoniu.

    Optimizing multi-deployment on clouds by means of self-adaptive prefetching, in: Euro-Par '11: Proc. 17th International Euro-Par Conference on Parallel Processing, Bordeaux, France, February 2011, p. 503-513. [ DOI : 10.1007/978-3-642-23400-2_46 ]

    http://hal.inria.fr/inria-00594406/en
  • 20S. Orlando, G. Antoniu, A. Ghoting, M. S. Pérez-Hernández.

    Introduction, in: Euro-Par (1), Springer, 2011, p. 351-352.
  • 21V.-T. Tran, B. Nicolae, G. Antoniu, L. Bougé.

    Efficient support for MPI-IO atomicity based on versioning, in: 11th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing (CCGrid 2011), Newport Beach, CA, United States, IEEE CS Press, 2011, A preliminary version was published as INRIA Research Report RR-7487.

    http://hal.inria.fr/inria-00565358/en
  • 22V.-T. Tran, B. Nicolae, G. Antoniu, L. Bougé.

    Pyramid: A large-scale array-oriented active storage system, in: LADIS 2011: The 5th Workshop on Large Scale Distributed Systems and Middleware, Seattle, United States, September 2011.

    http://hal.inria.fr/inria-00627665/en
  • 23V.-T. Tran.

    Towards a storage backend optimized for atomic MPI-I/O for parallel scientific applications, in: Parallel and Distributed Processing Workshops and Phd Forum (IPDPSW), Anchorage, Alaska, United States, May 2011.

    http://hal.inria.fr/inria-00627667/en

Conferences without Proceedings

  • 24H.-E. Chihoub.

    Towards a scalable, fault-tolerant, self-adaptive storage for the clouds, in: EuroSys'11 Doctoral Workshop, Salzburg, Austria, April 2011.

    http://hal.inria.fr/inria-00637766/en

Internal Reports

  • 25M. Dorier, G. Antoniu, F. Cappello, M. Snir, L. Orf.

    Damaris: Leveraging Multicore Parallelism to Mask I/O Jitter, INRIA, August 2011, no RR-7706.

    http://hal.inria.fr/inria-00614597/en

Other Publications

References in notes
  • 28Amazon Elastic MapReduce.

    http://aws.amazon.com/elasticmapreduce/
  • 29Chirp protocol specification.

    http://www.cs.wisc.edu/condor/chirp/
  • 30European Exascale Software Initiative.

    http://www.eesi-project.eu
  • 31Google App Engine.

    http://code.google.com/appengine/
  • 32Google Docs.

    http://www.google.com/google-d-s/tour1.html
  • 33HadoopFS, 2009.

    http://hadoop.apache.org/hdfs/docs/current/
  • 34International Exascale Software Program.

    http://www.exascale.org/iesp/Main_Page
  • 35Lightweight Data Replicator.

    http://www.lsc-group.phys.uwm.edu/LDR/
  • 36Microsoft Azure, 2009.

    http://www.microsoft.com/azure/
  • 37Microsoft Office Live, 2009.

    http://www.officelive.com/
  • 38The Nimbus project, 2009.

    http://workspace.globus.org/
  • 39OpenNebula, 2010.

    http://www.opennebula.org/
  • 40B. Allcock, J. Bester, J. Bresnahan, A. L. Chervenak, I. Foster, C. Kesselman, S. Meder, V. Nefedova, D. Quesnel, S. Tuecke.

    Data management and transfer in high-performance computational grid environments, in: Parallel Comput., 2002, vol. 28, no 5, p. 749–771.

    http://dx.doi.org/10.1016/S0167-8191(02)00094-7
  • 41A. Bassi, M. Beck, G. Fagg, T. Moore, J. S. Plank, M. Swany, R. Wolski.

    The Internet Backplane Protocol: A Study in Resource Sharing, in: Proc. 2nd IEEE/ACM Intl. Symp. on Cluster Computing and the Grid (CCGRID '02), Washington, DC, USA, IEEE Computer Society, 2002, 194 p.
  • 42J. Bent, V. Venkataramani, N. LeRoy, A. Roy, J. Stanley, A. Arpaci-Dusseau, R. Arpaci-Dusseau, M. Livny.

    Flexibility, Manageability, and Performance in a Grid Storage Appliance, in: Proc. 11th IEEE Symposium on High Performance Distributed Computing (HPDC 11), 2002.
  • 43G. H. Bryan, J. M. Fritsch.

    A Benchmark Simulation for Moist Nonhydrostatic Numerical Models, in: Monthly Weather Review, 2002, vol. 130, no 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
  • 44R. Buyya, C. S. Yeo, S. Venugopal.

    Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities, in: HPCC '08: Proceedings of the 2008 10th IEEE International Conference on High Performance Computing and Communications, Washington, DC, USA, IEEE Computer Society, 2008, p. 5–13.

    http://dx.doi.org/10.1109/HPCC.2008.172
  • 45P. H. Carns, W. B. Ligon, R. B. Ross, R. Thakur.

    PVFS: A Parallel File System for Linux Clusters, in: ALS '00: Proceedings of the 4th Annual Linux Showcase and Conference, Atlanta, GA, USA, USENIX Association, 2000, p. 317–327.
  • 46M. A. Casey, F. Kurth.

    Large data methods for multimedia, in: Proc. 15th Intl. Conf. on Multimedia (Multimedia '07), New York, NY, USA, ACM, 2007, p. 6–7.

    http://doi.acm.org/10.1145/1291233.1291238
  • 47J. Dean, S. Ghemawat.

    MapReduce: simplified data processing on large clusters, in: Communications of the ACM, 2008, vol. 51, no 1, p. 107–113.
  • 48A. Devulapalli, D. Dalessandro, P. Wyckoff, N. Ali, P. Sadayappan.

    Integrating parallel file systems with object-based storage devices, in: SC '07: Proceedings of the 2007 ACM/IEEE conference on Supercomputing, New York, NY, USA, ACM, 2007, p. 1–10.

    http://dx.doi.org/10.1145/1362622.1362659
  • 49K. Douglas, S. Douglas.

    PostgreSQL, New Riders Publishing, Thousand Oaks, CA, USA, 2003.
  • 50M. Factor, K. Meth, D. Naor, O. Rodeh, J. Satran.

    Object storage: the future building block for storage systems, in: Local to Global Data Interoperability - Challenges and Technologies, 2005, 2005, p. 119–123.

    http://dx.doi.org/10.1109/LGDI.2005.1612479
  • 51S. Ghemawat, H. Gobioff, S.-T. Leung.

    The Google file system, in: SOSP '03: Proceedings of the nineteenth ACM symposium on Operating systems principles, New York, NY, USA, ACM Press, 2003, p. 29–43.

    http://dx.doi.org/10.1145/945445.945450
  • 52S. Gilbert, N. Lynch.

    Brewer's Conjecture and the Feasibility of Consistent Available Partition-Tolerant Web Services, in: In ACM SIGACT News, 2002, 2002 p.
  • 53S. Grimes.

    Unstructured Data and the 80 Percent Rule, 2008, Carabridge Bridgepoints.
  • 54M. Ibrahim, R. Anthony, T. Eymann, A. Taleb-Bendiab, L. Gruenwald.

    Exploring Adaptation & Self-Adaptation in Autonomic Computing Systems, in: Database and Expert Systems Applications, International Workshop on, 2006, vol. 0, p. 129-138.

    http://dx.doi.org/10.1109/DEXA.2006.57
  • 55R. Jin, G. Yang.

    Shared Memory Parallelization of Data Mining Algorithms: Techniques, Programming Interface, and Performance, in: IEEE Trans. on Knowl. and Data Eng., 2005, vol. 17, no 1, p. 71–89.

    http://dx.doi.org/10.1109/TKDE.2005.18
  • 56Y. 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, no 4, p. 481-494.
  • 57K. Keahey, T. Freeman.

    Science Clouds: Early Experiences in Cloud Computing for Scientific Applications, in: Cloud Computing and Its Applications 2008 (CCA-08), Chicago, IL, 2008.
  • 58J. O. Kephart, D. M. Chess.

    The Vision of Autonomic Computing, in: Computer, 2003, vol. 36, no 1, p. 41–50.

    http://dx.doi.org/10.1109/MC.2003.1160055
  • 59A. Lenk, M. Klems, J. Nimis, S. Tai, T. Sandholm.

    What's inside the Cloud? An architectural map of the Cloud landscape, in: Software Engineering Challenges of Cloud Computing (CLOUD '09), 2009, p. 23 - 31, ICSE Workshop.
  • 60M. Mesnier, G. R. Ganger, E. Riedel.

    Object-based storage, in: Communications Magazine, IEEE, 2003, vol. 41, no 8, p. 84–90.

    http://dx.doi.org/10.1109/MCOM.2003.1222722
  • 61J. Montes, B. Nicolae, G. Antoniu, A. Sánchez, M. S. Pérez-Hernández.

    Using Global Behavior Modeling to Improve QoS in Cloud Data Storage Services, in: CloudCom '10: Proc. 2nd IEEE International Conference on Cloud Computing Technology and Science, Indianapolis, United States, October 2010.
  • 62M. Nicola, M. Jarke.

    Performance Modeling of Distributed and Replicated Databases, in: IEEE Trans. on Knowl. and Data Eng., 2000, vol. 12, no 4, p. 645–672.

    http://dx.doi.org/10.1109/69.868912
  • 63C. Olston, B. Reed, U. Srivastava, R. Kumar, A. Tomkins.

    Pig latin: a not-so-foreign language for data processing, in: SIGMOD '08: Proceedings of the 2008 ACM SIGMOD international conference on Management of data, New York, NY, USA, ACM, 2008, p. 1099–1110.

    http://doi.acm.org/10.1145/1376616.1376726
  • 64M. Parashar, S. Hariri.

    Autonomic computing: An overview, in: Unconventional Programming Paradigms, Springer Verlag, 2005, p. 247–259.
  • 65A. Raghuveer, M. Jindal, M. F. Mokbel, B. Debnath, D. Du.

    Towards efficient search on unstructured data: an intelligent-storage approach, in: CIKM '07: Proceedings of the sixteenth ACM conference on Conference on information and knowledge management, New York, NY, USA, ACM, 2007, p. 951–954.

    http://doi.acm.org/10.1145/1321440.1321583
  • 66P. Schwan.

    Lustre: Building a file system for 1000-node clusters, in: Proceedings of the Linux Symposium, 2003.

    http://citeseer.ist.psu.edu/schwan03lustre.html
  • 67A. Thomasian.

    Concurrency control: methods, performance, and analysis, in: ACM Computing Survey, 1998, vol. 30, no 1, p. 70–119.

    http://doi.acm.org/10.1145/274440.274443
  • 68L. M. Vaquero, L. Rodero-Merino, J. Caceres, M. Lindner.

    A break in the clouds: towards a cloud definition, in: SIGCOMM Comput. Commun. Rev., 2009, vol. 39, no 1, p. 50–55.

    http://doi.acm.org/10.1145/1496091.1496100
  • 69S. A. Weil, S. A. Brandt, E. L. Miller, D. D. E. Long, C. Maltzahn.

    Ceph: a scalable, high-performance distributed file system, in: OSDI '06: Proceedings of the 7th symposium on Operating systems design and implementation, Berkeley, CA, USA, USENIX Association, 2006, p. 307–320.

    http://portal.acm.org/citation.cfm?id=1298455.1298485