A Community Roadmap for Scientific Workflows Research and Development

Autor: Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Ilkay Altintas, Rosa M Badia, Bartosz Balis, Taina Coleman, Frederik Coppens, Frank Di Natale, Bjoern Enders, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Daniel Garijo, Carole Goble, Dorran Howell, Shantenu Jha, Daniel S. Katz, Daniel Laney, Ulf Leser, Maciej Malawski, Kshitij Mehta, Loic Pottier, Jonathan Ozik, J. Luc Peterson, Lavanya Ramakrishnan, Stian Soiland-Reyes, Douglas Thain, Matthew Wolf

Publikováno v: 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS 2021): St. Louis, Missouri, USA, 15 November 2021, 81-90
STARTPAGE=81;ENDPAGE=90;TITLE=2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS 2021)
Da Silva, R F, Casanova, H, Chard, K, Altintas, I, Badia, R M, Balis, B, Coleman, T, Coppens, F, Di Natale, F, Enders, B, Fahringer, T, Filgueira, R, Fursin, G, Garijo, D, Goble, C, Howell, D, Jha, S, Katz, D S, Laney, D, Leser, U, Malawski, M, Mehta, K, Pottier, L, Ozik, J, Peterson, J L, Ramakrishnan, L, Soiland-reyes, S, Thain, D & Wolf, M 2021, ' A Community Roadmap for Scientific Workflows Research and Development ', Paper presented at 2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS), 15/11/21-15/11/21 pp. 81-90 . https://doi.org/10.1109/WORKS54523.2021.00016
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2021 IEEE Workshop on Workflows in Support of Large-Scale Science (WORKS)
Rafael Ferreira da Silva, Henri Casanova, Kyle Chard, Ilkay Altintas, Rosa M Badia, Bartosz Balis, Tainã Coleman, Frederik Coppens, Frank Di Natale, Bjoern Enders, Thomas Fahringer, Rosa Filgueira, Grigori Fursin, Daniel Garijo, Carole Goble, Dorran Howell, Shantenu Jha, Daniel S. Katz, Daniel Laney, Ulf Leser, Maciej Malawski, Kshitij Mehta, Loïc Pottier, Jonathan Ozik, J. Luc Peterson, Lavanya

The landscape of workflow systems for scientific applications is notoriously convoluted with hundreds of seemingly equivalent workflow systems, many isolated research claims, and a steep learning curve. To address some of these challenges and lay the

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::94592768fa01cecaf0cb570e3fd4023e
https://www.proceedings.com/61974.html

Tarazu: An Adaptive End-to-end I/O Load-balancing Framework for Large-scale Parallel File Systems.

Autor: Paul, Arnab K., Neuwirth, Sarah, Wadhwa, Bharti, Wang, Feiyi, Oral, Sarp, Butt, Ali R.

Publikováno v: ACM Transactions on Storage; May2024, Vol. 20 Issue 2, p1-42, 42p