{"id":6183,"date":"2024-11-01T22:45:51","date_gmt":"2024-11-01T22:45:51","guid":{"rendered":"https:\/\/annualreports.es.net\/?page_id=6183"},"modified":"2024-11-09T00:43:53","modified_gmt":"2024-11-09T00:43:53","slug":"2023-esnet-by-the-numbers","status":"publish","type":"page","link":"https:\/\/annualreports.es.net\/index.php\/2023-esnet-by-the-numbers\/","title":{"rendered":"ESnet By The Numbers: 2023"},"content":{"rendered":"\n
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* ESnet is measured and expected to provide 99.9% site uptime. The network regularly exceeds that standard, providing near 100% uptime to almost all connected sites.
** 2023 ESnet Site Coordinators Committee Annual Site User Survey<\/sub><\/em><\/p>\n\n\n\n

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* In U.S. ** As of Oct. 15, 2024<\/sub><\/em> *** As of Dec.. 31, 2023<\/sub><\/em> <\/p>\n\n\n\n

Highest Capacity Users<\/strong> <\/h2>\n\n\n\n

This chord diagram depicts the volume of data moved across ESnet in calendar 2023 between the top 40 pairs of source and destination organizations. For scale, Fermi National Accelerator Laboratory sent 189 petabytes, most of it related to Large Hadron Collider projects, and the 53.3 PB of data that University of Chicago moved to Indiana GigaPOP was entirely attributed to the LHC.<\/p>\n\n\n\n

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Usage by DOE Sites <\/strong><\/h2>\n\n\n\n

This diagram depicts the volume of data moved across ESnet in calendar 2023 between the top 40 pairs of Department of Energy sites. In 2023, NERSC was the largest sender of data over ESnet, sending 17.4 petabytes.<\/p>\n\n\n\n

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Evolution of ESnet<\/strong><\/h2>\n\n\n\n
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ESnet Traffic: Historic Usage<\/strong><\/h2>\n\n\n\n

ESnet\u2019s network traffic has grown exponentially in the past two decades. In 2023, ESnet carried more than 1.7 exabytes of data to and from the sites it connects. An exabyte is a nearly incomprehensible amount of data, equal to 1,000 petabytes or one billion gigabytes. This torrent of data is spurring ESnet to innovate in multiple areas to continue to deliver on its mission \u2014 and enable DOE scientists to seamlessly move, store, and analyze that data without drowning in it.<\/p>\n\n\n\n

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