
ALS has a number of different experiments that can benefit from ESnet’s capabilities in different ways. Computing-intensive disciplines such as protein crystallography, X-ray microdiffraction, and other fields that utilize the ALS are experiencing unprecedented growth in data production. This is straining traditional methods of data distribution and analysis. As a matter of fact, within the next five years, we expect that many ALS user groups will experience an increase in data production of up to a factor of 1000, which will far exceed traditional digital media distribution capabilities. Without better ways of distributing data, scientific productivity could be significantly impeded.
In recent months, ESnet has developed new tools and software innovations as part of our goal of making our network and services more accessible to our users. If you would like to get tips on how to use ESnet focused on your particular scientific discipline, or just have general questions, please contact us at info@es.net.
–Eli Dart
