Name
Abstract | ||
|---|---|---|
Data sharing to support research collaborations has increased exponentially in the last ten years, but effective data transfer performance continues to be hard to achieve. The NetSage Measurement and Analysis framework was developed to support understanding research data movement by collecting a broad set of monitoring data from various resources, and visualizing that data using performance Dashboards which are specifically designed to address the analysis needs of stakeholders. This paper describes the design methodology, the resulting architecture, development, and deployment approach, and a set of discoveries that NetSage Dashboards made possible. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/INDIS51933.2020.00010 | 2020 IEEE/ACM Innovating the Network for Data-Intensive Science (INDIS) |
Keywords | DocType | ISBN |
Network Measurement and Monitoring,Visualization,Analytics,R&E Networks | Conference | 978-1-6654-0455-6 |
Citations | PageRank | References |
0 | 0.34 | 3 |
Authors | ||
14 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Katrina Turner | 1 | 0 | 0.34 |
| Mahesh Khanal | 2 | 0 | 0.34 |
| Tyson Seto-Mook | 3 | 0 | 0.34 |
| Alberto González | 4 | 39 | 5.78 |
| Jason Leigh | 5 | 909 | 111.85 |
| Andrew Lake | 6 | 0 | 0.68 |
| Sartaj Singh Baveha | 7 | 0 | 0.34 |
| Samir Faci | 8 | 0 | 0.34 |
| Brian Tierney | 9 | 611 | 70.38 |
| Daniel Doyle | 10 | 0 | 0.34 |
| Lisa Ensman | 11 | 7 | 1.30 |
| Jennifer M. Schopf | 12 | 0 | 0.34 |
| Douglas Southworth | 13 | 0 | 0.34 |
| Edward Balas | 14 | 0 | 0.34 |