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Bibliography

Major publications by the team in recent years
  • 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, 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
  • 6M. 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
  • 7M. 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
  • 8M. 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
  • 9B. 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/
  • 10B. 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
  • 11R. 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

  • 12M. Dorier, G. Antoniu, F. Cappello, M. Snir, R. R. Sisneros, O. Yildiz, S. Ibrahim, T. Peterka, L. G. 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
  • 13M. 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, 2016. [ DOI : 10.1109/TPDS.2015.2485980 ]

    https://hal.inria.fr/hal-01238103
  • 14M. Dorier, O. Yildiz, S. Ibrahim, A.-C. Orgerie, G. Antoniu.

    On the energy footprint of I/O management in Exascale HPC systems, in: Future Generation Computer Systems, March 2016, vol. 62, pp. 17–28. [ DOI : 10.1016/j.future.2016.03.002 ]

    https://hal.inria.fr/hal-01330735
  • 15S. 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, January 2016, 14 p. [ DOI : 10.1016/j.future.2015.01.005 ]

    https://hal.inria.fr/hal-01166252
  • 16Y. Simmhan, L. Ramakrishnan, G. Antoniu, C. Goble.

    Cloud computing for data-driven science and engineering: Special issue on the Cloud computing for data-driven science and engineering workshop (ScienceCloud 2012), in: Concurrency and Computation: Practice and Experience, 2016, vol. 28, no 4, pp. 947–949. [ DOI : 10.1002/cpe.3668 ]

    https://hal.inria.fr/hal-01351218
  • 17R. Tudoran, A. Costan, G. Antoniu.

    OverFlow: Multi-Site Aware Big Data Management for Scientific Workflows on Clouds, in: IEEE Transactions on Cloud Computing, 2016. [ DOI : 10.1109/TCC.2015.2440254 ]

    https://hal.inria.fr/hal-01239128
  • 18R. 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, January 2016, vol. 54. [ DOI : 10.1016/j.future.2015.01.016 ]

    https://hal.inria.fr/hal-01239124
  • 19S. Wu, S. Tao, X. Ling, H. Fan, H. Jin, S. Ibrahim.

    iShare: Balancing I/O performance isolation and disk I/O efficiency in virtualized environments, in: Concurrency and Computation: Practice and Experience, 2016.

    https://hal.inria.fr/hal-01338404
  • 20O. Yildiz, S. Ibrahim, G. Antoniu.

    Enabling Fast Failure Recovery in Shared Hadoop Clusters: Towards Failure-Aware Scheduling, in: Future Generation Computer Systems, March 2016. [ DOI : 10.1016/j.future.2016.02.015 ]

    https://hal.inria.fr/hal-01338336

International Conferences with Proceedings

  • 21N. 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
  • 22M. Dorier, R. R. Sisneros, L. Bautista-Gomez, T. Peterka, L. Orf, L. Rahmani, G. Antoniu, L. Bougé.

    Adaptive Performance-Constrained In Situ Visualization of Atmospheric Simulations, in: Cluster 2016 - The IEEE 2016 International Conference on Cluster Computing, Taipei, Taiwan, 2016.

    https://hal.inria.fr/hal-01351919
  • 23O.-C. Marcu, A. Costan, G. Antoniu, M. S. Pérez.

    Spark versus Flink: Understanding Performance in Big Data Analytics Frameworks, in: Cluster 2016 - The IEEE 2016 International Conference on Cluster Computing, Taipei, Taiwan, September 2016.

    https://hal.inria.fr/hal-01347638
  • 24P. Matri, A. Costan, G. Antoniu, J. Montes, M. S. Pérez.

    Towards Efficient Location and Placement of Dynamic Replicas for Geo-Distributed Data Stores, in: ScienceCloud'16 - 7th Workshop on Scientific Cloud Computing (in conjunction with ACM HPDC 2016), Kyoto, Japan, June 2016. [ DOI : 10.1145/2913712.2913715 ]

    https://hal.inria.fr/hal-01304328
  • 26L. Pineda-Morales, J. Liu, A. Costan, E. Pacitti, G. Antoniu, P. Valduriez, M. Mattoso.

    Managing Hot Metadata for Scientific Workflows on Multisite Clouds, in: BIGDATA 2016 - 2016 IEEE International Conference on Big Data, Washington, United States, December 2016.

    https://hal.inria.fr/hal-01395715
  • 27O. Yildiz, M. Dorier, S. Ibrahim, R. Ross, G. Antoniu.

    On the Root Causes of Cross-Application I/O Interference in HPC Storage Systems, in: IPDPS 2016 - The 30th IEEE International Parallel and Distributed Processing Symposium, Chicago, United States, May 2016.

    https://hal.inria.fr/hal-01270630

Scientific Books (or Scientific Book chapters)

  • 28B. Memishi, S. Ibrahim, M. S. Pérez-Hernández, G. Antoniu.

    On the Dynamic Shifting of the MapReduce Timeout, in: Managing and Processing Big Data in Cloud Computing, R. Kannan, R. U. Rasool, H. Jin, S. Balasundaram (editors), IGI Global, 2016.

    https://hal.inria.fr/hal-01338393
  • 29A. C. Zhou, B. He, S. Ibrahim.

    A Taxonomy and Survey of Scientific Computing in the Cloud, in: Big Data: Principles and Paradigms, eScience and Big Data Workflows in Clouds: A Taxonomy and Survey, Morgan Kaufmann, June 2016.

    https://hal.inria.fr/hal-01346745

Internal Reports

  • 30M. Dorier, R. R. Sisneros, L. Bautista-Gomez, T. Peterka, L. G. Orf, R. Ross, L. Rahmani, G. Antoniu, L. Bougé.

    Performance-Constrained In Situ Visualization of Atmospheric Simulations, Inria Rennes - Bretagne Atlantique, February 2016, no RR-8855, 27 p.

    https://hal.inria.fr/hal-01273718
  • 31P. Matri, A. Costan, G. Antoniu, J. Montes, M. S. 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

  • 32N. 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
  • 33L. Rahmani, M. Dorier, L. Bougé, G. Antoniu, R. R. Sisneros, T. Peterka.

    Towards Smart Visualization Framework for Climate Simulations, March 2016, working paper or preprint.

    https://hal.inria.fr/hal-01290268
  • 34Y. Taleb, S. Ibrahim, G. Antoniu, T. Cortes.

    Understanding how the network impacts performance and energy-efficiency in the RAMCloud storage system, October 2016, working paper or preprint.

    https://hal.inria.fr/hal-01376923
References in notes


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