Sentence examples for in scientific workflow from inspiring English sources

Provenance metadata has become increasingly important to support scientific discovery reproducibility, result interpretation, and problem diagnosis in scientific workflow environments.

Managing data exchange in scientific workflow simulations is a challenge for which existing solutions have only limited success.

A comprehensive review of the aspects of parallel workflow execution along with parallelization in scientific workflow managements systems can be found in [8].

This together with the idea of named ports for the inputs and outputs of processes, has proven very relevant in scientific workflow design as it allows an iterative, exploratory usage pattern which is common during the course of the scientific process.

Supporting this kind of exploratory qualitative analysis in scientific workflows is crucial, yet often overlooked [21].

This demonstrates the dynamically varying computational loads that often arise in scientific workflows.

Provenance has become increasingly important in scientific workflows to understand, verify, and reproduce the result of scientific data analysis.

Provenance, the metadata that records the derivation history of scientific results, is essential in scientific workflows to support the reproducibility of scientific discovery, result interpretation, and problem diagnosis.

In scientific workflows it is important to have a complete track record of what has been executed, including the command name, parameter values and execution times.

Under the circumstance, one of the key issue in scientific workflows is that they often need to coordinate these various resources.

The algorithm presented in this paper is new as it focuses on a more complex resource management problem that considers jobs and workflows characterized by multiple (two or more) phases of execution as present in scientific workflows, for example.