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Bibliography

Major publications by the team in recent years
  • 1A. 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
  • 2B. 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
  • 3M. 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
  • 4M. 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
  • 5M. Dorier, S. Ibrahim, G. Antoniu, R. Ross.

    Omnisc'IO: A Grammar-Based Approach to Spatial and Temporal I/O Patterns Prediction, in: SC'14 - International Conference for High Performance Computing, Networking, Storage and Analysis, New Orleans, United States, IEEE, ACM, November 2014.

    https://hal.inria.fr/hal-01025670
  • 6M. 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
  • 7B. 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/
  • 8B. 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
  • 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.

    https://hal.inria.fr/hal-00640900
  • 10R. 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
Publications of the year

Articles in International Peer-Reviewed Journals

  • 11M. Dorier, S. Ibrahim, G. Antoniu, R. Ross.

    Using Formal Grammars to Predict I/O Behaviors in HPC: the Omnisc'IO Approach, in: IEEE Transactions on Parallel and Distributed Systems, 2015. [ DOI : 10.1109/TPDS.2015.2485980 ]

    https://hal.inria.fr/hal-01238103
  • 12S. Ibrahim, T.-D. Phan, A. Carpen-Amarie, H.-E. Chihoub, D. Moise, G. Antoniu.

    Governing Energy Consumption in Hadoop through CPU Frequency Scaling: an Analysis, in: Future Generation Computer Systems, February 2015, 14 p. [ DOI : 10.1016/j.future.2015.01.005 ]

    https://hal.inria.fr/hal-01166252
  • 13V. N. Serbanescu, F. Pop, V. Cristea, G. Antoniu.

    A formal method for rule analysis and validation in distributed data aggregation service, in: World Wide Web, November 2015, vol. 18, no 6, pp. 1717–1736. [ DOI : 10.1007/s11280-015-0334-4 ]

    https://hal.archives-ouvertes.fr/hal-01249152
  • 14R. Tudoran, A. Costan, G. Antoniu.

    OverFlow: Multi-Site Aware Big Data Management for Scientific Workflows on Clouds, in: IEEE Transactions on Cloud Computing, 2015. [ DOI : 10.1109/TCC.2015.2440254 ]

    https://hal.inria.fr/hal-01239128
  • 15R. Tudoran, A. Costan, O. Nano, I. Santos, H. Soncu, G. Antoniu.

    JetStream: Enabling high throughput live event streaming on multi-site clouds, in: Future Generation Computer Systems, 2015, vol. 54. [ DOI : 10.1016/j.future.2015.01.016 ]

    https://hal.inria.fr/hal-01239124

International Conferences with Proceedings

  • 16N. Cheriere, P. Donat-Bouillud, S. Ibrahim, M. Simonin.

    On the Usability of Shortest Remaining Time First Policy in Shared Hadoop Clusters, in: SAC 2016-The 31st ACM/SIGAPP Symposium on Applied Computing, Pisa, Italy, April 2016.

    https://hal.inria.fr/hal-01239341
  • 17H.-E. Chihoub, S. Ibrahim, Y. Li, G. Antoniu, M. Pérez, L. Bougé.

    Exploring Energy-Consistency Trade-offs in Cassandra Cloud Storage System, in: SBAC-PAD'15-The 27th International Symposium on Computer Architecture and High Performance Computing, Florianopolis, Santa Catarina, Brazil, October 2015.

    https://hal.inria.fr/hal-01184235
  • 18M. Dorier, M. Dreher, T. Peterka, G. Antoniu, B. Raffin, J. M. Wozniak.

    Lessons Learned from Building In Situ Coupling Frameworks, in: First Workshop on In Situ Infrastructures for Enabling Extreme-Scale Analysis and Visualization, Austin, United States, November 2015. [ DOI : 10.1145/2828612.2828622 ]

    https://hal.inria.fr/hal-01224846
  • 19S. Ibrahim, T. A. Phuong, G. Antoniu.

    An Eye on the Elephant in the Wild: A Performance Evaluation of Hadoop's Schedulers Under Failures, in: ARMS-CC'15-The second workshop on Adaptive Resource Management and Scheduling for Cloud Computing, held in conjunction with PODC 2015,, Donostia-San Sebastián, Spain, July 2015.

    https://hal.inria.fr/hal-01184236
  • 20B. Memishi, M. S. Pérez-Hernández, G. Antoniu.

    Diarchy: An Optimized Management Approach for MapReduce Masters, in: ICCS 2015: Proceedings of the International Conference on Computational Science, Computational Science at the Gates of Nature, Reykjavík, Iceland, June 2015, pp. 9–18. [ DOI : 10.1016/j.procs.2015.05.179 ]

    https://hal.archives-ouvertes.fr/hal-01249151
  • 21T.-D. Phan, S. Ibrahim, G. Antoniu, L. Bougé.

    On Understanding the Energy Impact of Speculative Execution in Hadoop, in: GreenCom'15-The 2015 IEEE International Conference on Green Computing and Communications, Sydney, Australia, December 2015.

    https://hal.inria.fr/hal-01238055
  • 22L. Pineda-Morales, A. Costan, G. Antoniu.

    Towards Multi-site Metadata Management for Geographically Distributed Cloud Workflows, in: CLUSTER 2015 - IEEE International Conference on Cluster Computing, Chicago, United States, September 2015. [ DOI : 10.1109/CLUSTER.2015.49 ]

    https://hal.inria.fr/hal-01239150
  • 23O. Yildiz, S. Ibrahim, T. A. Phuong, G. Antoniu.

    Chronos: Failure-Aware Scheduling in Shared Hadoop Clusters, in: BigData'15-The 2015 IEEE International Conference on Big Data, Santa Clara, CA, United States, October 2015.

    https://hal.inria.fr/hal-01203001

Conferences without Proceedings

  • 24R.-I. Roman, B. Nicolae, A. Costan, G. Antoniu.

    Understanding Spark Performance in Hybrid and Multi-Site Clouds, in: 6th International Workshop on Big Data Analytics: Challenges and Opportunities (BDAC-15), Austin, TX, United States, November 2015.

    https://hal.inria.fr/hal-01239140

Internal Reports

  • 25M. Dorier, S. Ibrahim, G. Antoniu, R. Ross.

    On the Use of Formal Grammars to Predict HPC I/O Behaviors, ENS Rennes ; Inria Rennes Bretagne Atlantique ; Argonne National Laboratory ; Inria, August 2015, no RR-8725.

    https://hal.inria.fr/hal-01149941
  • 26A. Lebre, J. Pastor, . The DISCOVERY Consortium.

    The DISCOVERY Initiative - Overcoming Major Limitations of Traditional Server-Centric Clouds by Operating Massively Distributed IaaS Facilities, Inria, September 2015, no RR-8779, 14 p.

    https://hal.inria.fr/hal-01203648
  • 27P. Matri, A. Costan, G. Antoniu, J. Montes, M. Pérez.

    Týr: Efficient Transactional Storage for Data-Intensive Applications, Inria Rennes Bretagne Atlantique ; Universidad Politécnica de Madrid, January 2016, no RT-0473, 25 p.

    https://hal.inria.fr/hal-01256563

Other Publications

  • 28L. Pineda-Morales, B. Subramaniam, K. Keahey, G. Antoniu, A. Costan, S. Wang, A. Padmanabhan, A. Soliman.

    Scaling Smart Appliances for Spatial Data Synthesis, November 2015, SC15 - ACM/IEEE International Conference in Supercomputing, Poster.

    https://hal.inria.fr/hal-01241718
References in notes
  • 29Amazon Elastic MapReduce, 2010.

    http://aws.amazon.com/elasticmapreduce/
  • 30European Exascale Software Initiative, 2013.

    http://www.eesi-project.eu
  • 31The European Technology Platform for High-Performance Computing, 2012.

    http://www.etp4hpc.eu
  • 32International Exascale Software Program, 2011.

    http://www.exascale.org/iesp/Main_Page
  • 33J. Dean, S. Ghemawat.

    MapReduce: simplified data processing on large clusters, in: Communications of the ACM, 2008, vol. 51, no 1, pp. 107–113.
  • 34B. 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.


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