Ensemble learning of runtime prediction models for gene-expression analysis workflows
The adequate management of scientific workflow applications strongly depends on the
availability of accurate performance models of sub-tasks. Numerous approaches use …
availability of accurate performance models of sub-tasks. Numerous approaches use …
Ensemble learning of run-time prediction models for data-intensive scientific workflows
DA Monge, M Holec, F Z̆elezný… - … First HPCLATAM-CLCAR …, 2014 - Springer
Workflow applications for in-silico experimentation involve the processing of large amounts
of data. One of the core issues for the efficient management of such applications is the …
of data. One of the core issues for the efficient management of such applications is the …
Logos: Enabling local resource managers for the efficient support of data-intensive workflows within grid sites
DA Monge, CG Garino - Computing and Informatics, 2014 - cai.sk
In this study we discuss how to enable grid sites for the support of data-intensive workflows.
Usually, within grid sites, tasks and resources are administrated by local resource managers …
Usually, within grid sites, tasks and resources are administrated by local resource managers …
Informações de suporte ao escalonamento de workflows científicos para a execução em plataformas de computação em nuvem
EC Teixeira - 2016 - teses.usp.br
A ciência tem feito uso frequente de recursos computacionais para execução de
experimentos e processos científicos, que podem ser modelados como workflows que …
experimentos e processos científicos, que podem ser modelados como workflows que …
Learning Running-time Prediction Models for Gene-Expression Analysis Workflows
One of the central issues for the efficient management of Scientific workflow applications is
the prediction of tasks performance. This paper proposes a novel approach for constructing …
the prediction of tasks performance. This paper proposes a novel approach for constructing …
Learning Running-time Prediction Models for Gene-Expression Analysis Workflows
DA Monge Bosdari, M Holec, F Zelezny… - 2015 - ri.conicet.gov.ar
One of the central issues for the efficient management of Scientific workflow applications is
the prediction of tasks performance. This paper proposes a novel approach for constructing …
the prediction of tasks performance. This paper proposes a novel approach for constructing …
Ensemble learning of runtime prediction models for gene-expression analysis workflows
DA Monge Bosdari, M Holec, F Zelezný… - 2015 - ri.conicet.gov.ar
The adequate management of scientific workflow applications strongly depends on the
availability of accurate performance models of sub-tasks. Numerous approaches use …
availability of accurate performance models of sub-tasks. Numerous approaches use …