Biological and Environmental Research Network Requirements Review (Final Report)

Technical Report · Fri Aug 25 00:00:00 EDT 2023

DOI:https://doi.org/10.2172/1996500· OSTI ID:1996500

Zurawski, Jason ^[1]; Dart, Eli ^[1]; Harlan, Zach ^[1]; Hawk, Carol ^[2]; Hess, John ^[1]; Hnilo, Justin J. ^[2]; MacAuley, John ^[1]; Madupu, Ramana ^[2]; Miller, Ken ^[1]; Tracy, Chris ^[1]; Wiedlea, Andrew ^[3]

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1. Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
2. US Department of Energy (USDOE), Washington, DC (United States). Office of Science
3. Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States). Energy Sciences Network (ESnet)

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 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 (R&E) networking community. Between August 2022 and April 2023, ESnet and the Office of Biological and Environmental Research (BER) of the DOE SC organized an ESnet requirements review of BER-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 its relationship to the BER ESS 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. A series of pre-planning meetings better prepared case study authors for this task, along with guidance on how the review would proceed in a virtual fashion.

• Research Organization: Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
• Sponsoring Organization: USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); USDOE Office of Science (SC), Biological and Environmental Research (BER)
• DOE Contract Number: AC02-05CH11231
• OSTI ID: 1996500
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING