Special issue on workflows in support of large-scale science
暂无分享,去创建一个
Rizos Sakellariou | Sandra Gesing | Ian J. Taylor | Rafael Ferreira da Silva | I. Taylor | R. Sakellariou | S. Gesing
[1] Ilkay Altintas,et al. Modular performance prediction for scientific workflows using Machine Learning , 2021, Future Gener. Comput. Syst..
[2] Ewa Deelman,et al. Measuring the impact of burst buffers on data-intensive scientific workflows , 2019, Future Gener. Comput. Syst..
[3] Li Tang,et al. MPI jobs within MPI jobs: A practical way of enabling task-level fault-tolerance in HPC workflows , 2019, Future Gener. Comput. Syst..
[4] Bryan Ng,et al. Dynamic multi-workflow scheduling: A deadline and cost-aware approach for commercial clouds , 2019, Future Gener. Comput. Syst..
[5] Isabel Rosseti,et al. A provenance-based heuristic for preserving results confidentiality in cloud-based scientific workflows , 2019, Future Gener. Comput. Syst..
[6] Marta Mattoso,et al. Keeping Track of User Steering Actions in Dynamic Workflows , 2019, Future Gener. Comput. Syst..
[7] Ian T. Foster,et al. Workflow-based automatic processing for Internet of Floating Things crowdsourced data , 2019, Future Gener. Comput. Syst..