High Energy Physics Network Requirements Review: One-Year Update

Technical Report · Fri Apr 01 04:00:00 EDT 2022

DOI:https://doi.org/10.2172/1902286· OSTI ID:1902286

Zurawski, Jason ^[1]; Carder, Dale ^[1]; Colby, Eric ^[2]; Dart, Eli ^[1]; Hawk, Carol ^[3]; Hier-Majumder, Saswata ^[2]; Miller, Bill ^[4]; Miller, Ken ^[1]; Patwa, Abid ^[2]; Robinson, Kate ^[1]; Rotman, Lauren ^[5]; Wiedlea, Andrew ^[1]

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1. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Energy Sciences Network, Berkeley, CA (United States)
2. Dept. of Energy Office of Science, Washington, DC (United States)
3. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
4. National Science Foundation, Alexandria, VA (United States)
5. Energy Sciences Network, Berkeley, CA (United States)

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. In April 2022, ESnet and the Office of High Energy Physics (HEP) of the DOE SC organized an ESnet requirements review of HEP-supported activities. Preparation for the review 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 the group’s relationship to the HEP 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)
• DOE Contract Number: AC02-05CH11231
• OSTI ID: 1902286
• Report Number(s): LBNL-2001492; ark:/13030/qt65h4t5zc
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING