Just as research and education networks have expanded the capabilities of scientists, a 2011 internship at ESnet led Baris Aksanli, then a Ph.D. student in computer science and engineering from the University of California San Diego, to broaden the scope of his research in tapping renewable energy to reduce the carbon footprint of data centers and networks. The authors found that centers can increase their use of renewable energy while also reducing costs.
The result is a chapter in a new book on Computational Sustainability published on May 30, 2016, by Springer. Aksanli, along with Jagannathan Venkatesh and Tajana Simunic Rosing of UC San Diego and ESnet’s Inder Monga collaborated on the chapter on “Renewable Energy Prediction for Improved Utilization and Efficiency in Datacenters and Backbone Networks.”
Aksanli said his personal interest in energy efficiency led to studying how a single datacenter could become more energy efficient, but after working at Berkeley Lab and ESnet, the natural extension was to look at a group of networked datacenters, such as Department of Energy computing centers connected via ESnet.