Prof. Adam Wierman,
Dept. of Computing and Mathematical Sciences
Given the significant energy consumption of data centers, improving their energy efficiency is an important social problem. However, energy efficiency is necessary but not sufficient for sustainability, which demands reduced usage of energy from fossil fuels. In this talk, I will describe some recent work highlighting the algorithmic challenges associated with “greening” data centers. We will focus on two applications — (i) dynamic resizing within a data center and (ii) geographical load balancing across an Internet-scale system. In both contexts I will present our new algorithms, which provide significantly improved guarantees when compared with the “standard” approaches using Receding Horizon Control. Additionally, if time allows, I will briefly discuss the our recent progress toward the implementation and evaluation of these algorithms in industry data centers.
Adam Wierman is an Assistant Professor in the Department of Computing and Mathematical Sciences at the California Institute of Technology, where he is a member of the Rigorous Systems Research Group (RSRG). He received his Ph.D., M.Sc. and B.Sc. in Computer Science from Carnegie Mellon University in 2007, 2004, and 2001, respectively.
He received the ACM SIGMETRICS Rising Star award in 2011, and has also received best paper awards at ACM SIGMETRICS, IFIP Performance, IEEE INFOCOM, and ACM GREENMETRICS. Additionally, he has also received multiple teaching awards, including the Associated Students of the California Institute of Technology (ASCIT) Teaching Award.