Y. Chen and R. Sion, To cloud or not to cloud?, Proceedings of the 2nd ACM Symposium on Cloud Computing, SOCC '11, pp.1-29, 2011.
DOI : 10.1145/2038916.2038945

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

W. Allcock, J. Bresnahan, R. Kettimuthu, M. Link, C. Dumitrescu et al., The Globus Striped GridFTP Framework and Server, ACM/IEEE SC 2005 Conference (SC'05), p.54, 2005.
DOI : 10.1109/SC.2005.72

I. Foster, A. Chervenak, D. Gunter, K. Keahey, R. Madduri et al., Enabling PETASCALE Data Movement and Analysis, Scidac Review, 2009.

T. Kosar and M. Livny, A framework for reliable and efficient data placement in distributed computing systems, Journal of Parallel and Distributed Computing, vol.65, issue.10, p.11461157, 2005.
DOI : 10.1016/j.jpdc.2005.04.019

P. Rizk, C. Kiddle, and R. Simmonds, Catch: a cloud-based adaptive data-transfer service for hpc, Proceedings of the 25th IEEE International Parallel & Distributed Processing Symposium, p.12421253, 2011.

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

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

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, 2008.
DOI : 10.1109/SC.2008.5213292

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

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

E. Yildirim and T. Kosar, Network-aware end-to-end data throughput optimization, Proceedings of the first international workshop on Network-aware data management, NDM '11, pp.21-30, 2011.
DOI : 10.1145/2110217.2110221

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.

R. Tudoran, A. Costan, G. Antoniu, and L. Bougé, A performance evaluation of Azure and Nimbus clouds for scientific applications, Proceedings of the 2nd International Workshop on Cloud Computing Platforms, CloudCP '12, 2012.
DOI : 10.1145/2168697.2168701
URL : https://hal.archives-ouvertes.fr/hal-00677842

H. J. Li, M. Mao, A. Ruiz-alvarez, and M. Humphrey, Early Observations on the Performance of Windows Azure, High Performance Distributed Computing, pp.367-376, 2010.

G. Juve, E. Deelman, K. Vahi, G. Mehta, B. Berriman et al., Data Sharing Options for Scientific Workflows on Amazon EC2, 2010 ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, pp.1-9, 2010.
DOI : 10.1109/SC.2010.17

A. Costan, R. Tudoran, G. Antoniu, and G. Brasche, TomusBlobs: Scalable Data-intensive Processing on Azure Clouds Journal of Concurrency and computation: practice and experience, 2013.