BER Science Network Requirements [electronic resource]

• Ngôn ngữ: eng
• Ký hiệu phân loại: 363.7 Environmental problems
• Thông tin xuất bản: Berkeley, Calif. : Oak Ridge, Tenn. : Lawrence Berkeley National Laboratory ; Distributed by the Office of Scientific and Technical Information, U.S. Dept. of Energy, 2010
• Mô tả vật lý: Size: 103 : , digital, PDF file.
• Bộ sưu tập: Metadata
• ID: 262393
• Chủ đề: 1. 54 environmental sciences; 2. 58 geosciences; 3. 59 basic biological sciences; 4. 60 applied life sciences; 5. 99 general and miscellaneous; 6. Biology; 7. Climates; 8. Computer networks; 9. Esnet, climate, combustion, genomics, biology, networking, network performance, supercomputing, carbon, network requirements, computational chemistry, atomspheric sciences, energy sciences network; 10. Supercomputers

Tóm tắt

The Energy Sciences Network (ESnet) is the primary provider of network connectivity for the US Department of Energy Office of Science, the single largest supporter of basic research in the physical sciences in the United States. In support of the Office of Science programs, ESnet regularly updates and refreshes its understanding of the networking requirements of the instruments, facilities, scientists, and science programs that it serves. This focus has helped ESnet to be a highly successful enabler of scientific discovery for over 20 years. In April 2010 ESnet and the Office of Biological and Environmental Research, of the DOE Office of Science, organized a workshop to characterize the networking requirements of the science programs funded by BER. The requirements identified at the workshop are summarized and described in more detail in the case studies and the Findings section. A number of common themes emerged from the case studies and workshop discussions. One is that BER science, like many other disciplines, is becoming more and more distributed and collaborative in nature. Another common theme is that data set sizes are exploding. Climate Science in particular is on the verge of needing to manage exabytes of data, and Genomics is on the verge of a huge paradigm shift in the number of sites with sequencers and the amount of sequencer data being generated.