- Main
Fusion Energy Sciences Network Requirements Review (Final Report)
- Wala, Fatema;
- Bonoli, Paul;
- Brown, Ben;
- Chang, CS;
- Churchill, Michael;
- Cook, Brandon;
- Curry, Doug;
- Dart, Eli;
- Diallo, Ahmed;
- Dorland, Bill;
- Fiuza, Frederico;
- Foster, Mark;
- Gerber, Richard;
- Green, David;
- Guok, Chin;
- Guttenfelder, Walter;
- Hicks, Susan;
- Hier-Majumder, Saswata;
- Hughes, Jerry;
- Kafader, James;
- Kampel, Scott;
- Kaye, Stan;
- King, Josh;
- Lau, Cornwell;
- Mandrekas, John;
- Meneghini, Orso;
- Miller, Bill;
- Miller, Ken;
- Monga, Inder;
- Nazikian, Raffi;
- Nguyen, Jeff;
- Poli, Francesca;
- Rapp, Jurgen;
- Riley, Katherine;
- Rotman, Lauren;
- Sabbagh, Steve;
- Savage, Brandon;
- Schissel, David;
- Schumacher, Douglass;
- Stephey, Laurie;
- Stillerman, Josh;
- Wiedlea, Andrew;
- Youchison, Dennis;
- Zurawski, Jason
- et al.
Published Web Location
https://doi.org/10.2172/1868981Abstract
The Energy Sciences Network (ESnet) is the high-performance network user facility for the US Department of Energy (DOE) Office of Science (SC) and delivers highly reliable data transport capabilities optimized for the requirements of data-intensive science. In essence, ESnet is the circulatory system that enables the DOE science mission by connecting all of its laboratories and facilities in the US and abroad. ESnet is funded and stewarded by the Advanced Scientific Computing Research (ASCR) program and managed and operated by the Scientific Networking Division at Lawrence Berkeley National Laboratory (LBNL). ESnet is widely regarded as a global leader in the research and education networking community. Throughout 2021, ESnet and the Office of Fusion Energy Sciences (FES) of the DOE SC organized an ESnet requirements review of FES-supported activities. Preparation for these events included identification of key stakeholders: program and facility management, research groups, and technology providers. Each stakeholder group was asked to prepare formal case study documents about their relationship to the FES program to build a complete understanding of the current, near-term, and long-term status, expectations, and processes that will support the science going forward.
Main Content
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