T. Kosar, E. Arslan, B. Ross, and B. Zhang, StorkCloud, Proceedings of the 4th ACM workshop on Scientific cloud computing, Science Cloud '13, pp.29-36, 2013.
DOI : 10.1145/2465848.2465855

N. Laoutaris, M. Sirivianos, X. Yang, and P. Rodriguez, Interdatacenter bulk transfers with netstitcher, Proceedings of the ACM SIGCOMM 2011 Conference, pp.74-85, 2011.

A. Costan, R. Tudoran, G. Antoniu, and G. Brasche, TomusBlobs: scalable data-intensive processing on Azure clouds, Concurrency and Computation: Practice and Experience, 2013.
DOI : 10.1002/cpe.3034

URL : https://hal.archives-ouvertes.fr/hal-00767034

R. Tudoran, A. Costan, R. R. Rad, G. Brasche, and G. Antoniu, Adaptive file management for scientific workflows on the Azure cloud, 2013 IEEE International Conference on Big Data, pp.273-281, 2013.
DOI : 10.1109/BigData.2013.6691584

URL : https://hal.archives-ouvertes.fr/hal-00926748

R. Tudoran, A. Costan, R. Wang, L. Bougé, and G. Antoniu, Bridging Data in the Clouds: An Environment-Aware System for Geographically Distributed Data Transfers, 2014 14th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, 2014.
DOI : 10.1109/CCGrid.2014.86

URL : https://hal.archives-ouvertes.fr/hal-00978153

H. Hiden, S. Woodman, P. Watson, and J. Caa, Developing cloud applications using the e-Science Central platform, Proceedings of Royal Society A, 2012.
DOI : 10.1098/rsta.2012.0085

K. R. Jackson, L. Ramakrishnan, K. J. Runge, and R. C. Thomas, Seeking supernovae in the clouds, Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, HPDC '10, pp.421-429, 2010.
DOI : 10.1145/1851476.1851538

A. Greenberg, J. Hamilton, D. A. Maltz, and P. Patel, The cost of a cloud, ACM SIGCOMM Computer Communication Review, vol.39, issue.1, pp.68-73, 2008.
DOI : 10.1145/1496091.1496103

M. Isard, M. Budiu, Y. Yu, A. Birrell, and D. Fetterly, Dryad: Distributed data-parallel programs from sequential building blocks, Proc. of the 2nd ACM SIGOPS/EuroSys 2007, ser. EuroSys '07, pp.59-72, 2007.

Y. Simmhan, C. Van-ingen, G. Subramanian, and J. Li, Bridging the Gap between Desktop and the Cloud for eScience Applications, 2010 IEEE 3rd International Conference on Cloud Computing, pp.474-481, 2010.
DOI : 10.1109/CLOUD.2010.72

E. S. Ogasawara, J. Dias, V. Silva, F. S. Chirigati, D. De-oliveira et al., Chiron: a parallel engine for algebraic scientific workflows Concurrency and Computation: Practice and Experience, pp.2327-2341, 2013.

W. Kabsch, A solution for the best rotation to relate two sets of vectors Azure Pricing, Acta Crystallographica A, vol.32, p.922923, 1976.

B. E. Calder, Windows Azure Storage, Proceedings of the Twenty-Third ACM Symposium on Operating Systems Principles, SOSP '11, pp.143-157, 2011.
DOI : 10.1145/2043556.2043571

J. Dean and S. Ghemawat, MapReduce, Communications of the ACM, vol.51, issue.1, pp.107-113, 2008.
DOI : 10.1145/1327452.1327492

G. Poline, B. Antoniu, and . Thirion, Generic machine learning pattern for neuroimaging-genetic studies in the cloud, Frontiers in Neuroinformatics, vol.8, issue.31, 2014.

S. Pandey and R. Buyya, Scheduling Workflow Applications Based on Multi-source Parallel Data Retrieval in Distributed Computing Networks, The Computer Journal, vol.55, issue.11, pp.1288-1308, 2012.
DOI : 10.1093/comjnl/bxr128

]. L. Ramakrishnan, C. Guok, K. Jackson, E. Kissel, D. M. Swany et al., On-demand Overlay Networks for Large Scientific Data Transfers, 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, pp.359-367, 2010.
DOI : 10.1109/CCGRID.2010.82

W. Allcock, GridFTP: Protocol Extensions to FTP for the Grid, 2003.

G. Khanna, U. Catalyurek, T. Kurc, R. Kettimuthu, P. Sadayappan et al., Using overlays for efficient data transfer over shared wide-area networks, 2008 SC, International Conference for High Performance Computing, Networking, Storage and Analysis, pp.471-4712
DOI : 10.1109/SC.2008.5213292

G. Khanna, U. Catalyurek, T. Kurc, R. Kettimuthu, P. Sadayappan et al., A dynamic scheduling approach for coordinated wide-area data transfers using gridftp, Parallel and Distributed Processing, pp.1-12, 2008.

T. J. Hacker, B. D. Noble, and B. D. Athey, Adaptive data block scheduling for parallel TCP streams, HPDC-14. Proceedings. 14th IEEE International Symposium on High Performance Distributed Computing, 2005., pp.265-275, 2005.
DOI : 10.1109/HPDC.2005.1520970

W. Liu, B. Tieman, R. Kettimuthu, and I. Foster, A data transfer framework for large-scale science experiments, Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, HPDC '10, pp.717-724, 2010.
DOI : 10.1145/1851476.1851582

C. Raiciu, C. Pluntke, S. Barre, A. Greenhalgh, D. Wischik et al., Data center networking with multipath TCP, Proceedings of the Ninth ACM SIGCOMM Workshop on Hot Topics in Networks, Hotnets '10, pp.1-10, 2010.
DOI : 10.1145/1868447.1868457

W. Liu, B. Tieman, R. Kettimuthu, and I. Foster, A data transfer framework for large-scale science experiments, Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, HPDC '10, pp.717-724, 2010.
DOI : 10.1145/1851476.1851582

P. Carns, W. B. Ligon, R. B. Ross, and R. Thakur, PVFS: a parallel file system for linux clusters, Proc. of the 4th annual Linux Showcase & Conference, 2000.

R. L. Grossman, Y. Gu, M. Sabala, and W. Zhang, Compute and storage clouds using wide area high performance networks, Future Generation Computer Systems, vol.25, issue.2, pp.179-183, 2009.
DOI : 10.1016/j.future.2008.07.009

R. Tudoran, O. Nano, I. Santos, A. Costan, H. Soncu et al., JetStream, Proceedings of the 8th ACM International Conference on Distributed Event-Based Systems, DEBS '14, pp.23-34, 2014.
DOI : 10.1145/2611286.2611298

URL : https://hal.archives-ouvertes.fr/hal-01090281