Jupyter notebook for performance test using the different reproducible approaches


Authors:
Owners:
Resource type: Composite Resource
Storage: The size of this resource is 256.7 KB
Created: Nov 24, 2020 at 7:39 a.m.
Last updated: May 28, 2021 at 3:51 a.m.
Citation: See how to cite this resource
Sharing Status: Public
Views: 89
Downloads: 1
+1 Votes: Be the first one to 
 this.
Comments: No comments (yet)

Abstract

This HydroShare resource has the results of performance tests that are computational_time.csv, size.csv, and complexity.csv.
Using Jupyter notebook, we created four performance plots in the manuscript of "Comparing Approaches to Achieve Reproducible Computational Modeling for Hydrological and Environmental Systems" in Environmental Modeling and Software.

Figure 9. The total scores of complexity on reproducible approaches for developer and user work
Figure 10 Comparison of the size for reproducible artifacts in five local reproducible approaches
Figure 11 Comparison of computational time in five local reproducible approaches
Figure 12 Comparison of computational time in six remote reproducible approaches

Subject Keywords

Deleting all keywords will set the resource sharing status to private.

Resource Level Coverage

Spatial

Coordinate System/Geographic Projection:
WGS 84 EPSG:4326
Coordinate Units:
Decimal degrees
Place/Area Name:
Aspen stand at Reynolds Mountain East catchment in southwestern Idaho
North Latitude
43.0707°
East Longitude
-116.7495°
South Latitude
43.0630°
West Longitude
-116.7592°

Content

References

This resource belongs to the following collections:
Title Owners Sharing Status My Permission
Comparing Approaches to Achieve Reproducible Computational Modeling for Hydrological and Environmental Systems Young-Don Choi · Binata Roy · Iman Maghami  Public &  Shareable Open Access

Credits

Funding Agencies

This resource was created using funding from the following sources:
Agency Name Award Title Award Number
National Science Foundation EarthCube Data Capabilities: Collaborative Research: Integration of Reproducibility into Community CyberInfrastructure ICER-1928369, ICER-1928315

How to Cite

Choi, Y. (2021). Jupyter notebook for performance test using the different reproducible approaches, HydroShare, http://www.hydroshare.org/resource/1e396f84bb6c4a46affe61d21a0b500c

This resource is shared under the Creative Commons Attribution CC BY.

 http://creativecommons.org/licenses/by/4.0/
CC-BY

Comments

There are currently no comments

New Comment

required