Export 16 results:
E. Deelman, A. Mandal, M. Jiang, and R. Sakellariou, "The role of machine learning in scientific workflows", The International Journal of High Performance Computing Applications, 2019.
W. Chen, R. F. da Silva, E. Deelman, and R. Sakellariou, "Balanced Task Clustering in Scientific Workflows", 9th IEEE International Conference on e-Science (eScience 2013), 2013.
W. Chen, E. Deelman, and R. Sakellariou, "Imbalance Optimization in Scientific Workflows", International Conference on Supercomputing (ICS 2013), 2013.
K. Lee, N. W. Paton, R. Sakellariou, E. Deelman, A. A. A. Fernandes, and G. Mehta, "Adaptive Workflow Processing and Execution in Pegasus", 3rd International Workshop on Workflow Management and Applications in Grid Environments (WaGe08), 2008.
G. Singh, K. Vahi, A. Ramakrishnan, G. Mehta, E. Deelman, H. Zhao, R. Sakellariou, K. Blackburn, D. Brown, S. Fairhurst, D. Meyers, and B. G. Berriman, "Optimizing Workflow Data Footprint", Special issue of the Scientific Programming Journal dedicated to Dynamic Computational Workflows: Discovery, Optimisation and Scheduling, 2007.
A. Ramakrishnan, G. Singh, H. Zhao, E. Deelman, R. Sakellariou, K. Vahi, K. Blackburn, D. Meyers, and M. Samidi, "Scheduling Data-IntensiveWorkflows onto Storage-Constrained Distributed Resources", Seventh {IEEE} International Symposium on Cluster Computing and the Grid (CCGrid 2007), 14-17 May 2007, Rio de Janeiro, Brazil, pp. 401–409, 2007.