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Publikováno v:
Cluster computing, vol 25, iss 4
Cluster Computing
Cluster Computing
Data sharing is required for research collaborations, but effective data transfer performance continues to be difficult to achieve. The NetSage Measurement and Analysis Framework can assist in understanding research data movement. It collects a broad
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e7b1973273d26de6a8d80108a87310be
https://escholarship.org/uc/item/5vt9q733
https://escholarship.org/uc/item/5vt9q733
Autor:
Tyson Seto-Mook, Katrina Turner, Jennifer M. Schopf, Douglas Southworth, Jason Leigh, Mahesh Khanal, Lisa Ensman, Edward Balas, Andrew Lake, Samir Faci, Sartaj Singh Baveha, Brian Tierney, Daniel Doyle, Alberto Gonzalez
Publikováno v:
INDIS@SC
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 unders