• N'Takpé T, Edgard Gnimassoun J, Oumtanaga S and Suter F. (2021). Data‐aware and simulation‐driven planning of scientific workflows on IaaS clouds. Concurrency and Computation: Practice and Experience. 10.1002/cpe.6719. 34:14. Online publication date: 25-Jun-2022.

    https://onlinelibrary.wiley.com/doi/10.1002/cpe.6719

  • Do T, Pottier L, Caíno-Lores S, Ferreira da Silva R, Cuendet M, Weinstein H, Estrada T, Taufer M and Deelman E. (2021). A lightweight method for evaluating in situ workflow efficiency. Journal of Computational Science. 10.1016/j.jocs.2020.101259. 48. (101259). Online publication date: 1-Jan-2021.

    https://linkinghub.elsevier.com/retrieve/pii/S1877750320305573

  • Sato T, Tatebe O and Kusaka H. In-situ Data Analysis System for High Resolution Meteorological Large Eddy Simulation Model. Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies. (155-158).

    https://doi.org/10.1145/3365109.3368769

  • Ferreira da Silva R, Callaghan S, Do T, Papadimitriou G and Deelman E. (2019). Measuring the impact of burst buffers on data-intensive scientific workflows. Future Generation Computer Systems. 101:C. (208-220). Online publication date: 1-Dec-2019.

    https://doi.org/10.1016/j.future.2019.06.016

  • Chung J, Liu Z, Kettimuthu R and Foster I. (2019). Elastic Data Transfer Infrastructure (DTI) on the Chameleon Cloud 2019 IEEE 27th International Conference on Network Protocols (ICNP). 10.1109/ICNP.2019.8888073. 978-1-7281-2700-2. (1-2).

    https://ieeexplore.ieee.org/document/8888073/

  • Chung J, Liu Z, Kettimuthu R and Foster I. (2019). Toward an Elastic Data Transfer Infrastructure 2019 15th International Conference on eScience (eScience). 10.1109/eScience.2019.00036. 978-1-7281-2451-3. (262-265).

    https://ieeexplore.ieee.org/document/9041735/

  • Pathak A, Pandey M and Rautaray S. (2019). Approaches of enhancing interoperations among high performance computing and big data analytics via augmentation. Cluster Computing. 10.1007/s10586-019-02960-y.

    http://link.springer.com/10.1007/s10586-019-02960-y

  • Aupy G, Beaumont O and Eyraud-Dubois L. (2019). Sizing and Partitioning Strategies for Burst-Buffers to Reduce IO Contention 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS). 10.1109/IPDPS.2019.00072. 978-1-7281-1246-6. (631-640).

    https://ieeexplore.ieee.org/document/8821052/