Scheduling To Balance Energy & Delay

Special Networks & Control SeminarProf. Adam Wierman
Computer Science Department, Caltech
Abstract:
No longer is faster always better in system design. Nowadays, speed costs power
and power costs money -- so performance must be balanced with energy usage.
The most common approach for balancing energy consumption and performance is
dynamic speed scaling, which adapts the processing speed to the current workload.
The focus of this talk is to understand some fundamental questions about speed
scaling, such as:
What are the optimal speeds? How do the optimal speeds depend on the
scheduling of the system? What improvement does dynamic speed scaling provide
over simple schemes such as "sleep when idle"?
Speaker Bio: Adam Wierman is an Assistant Professor of Computer Science at the
California Institute of Technology, where he is a member of the Lee Center for
Advanced Networking, the Center for the Mathematics of Information, and the
Social and Information Sciences Laboratory. He received his PhD (2007) and MS
(2004) in Computer Science from Carnegie Mellon University under the
supervision of Mor Harchol-Balter where he was a co-recipient of the
Distinguished Dissertation Award. He also briefly served as a visiting researcher at
the EURANDOM institute under the supervision of Onno Boxma and Ivo Adan.
He is a recipient of an NSF Graduate Research Fellowship, a Siebel Scholars
Fellowship, an ACM Sigmetrics best student paper award, and multiple teaching
awards, including the Alan J. Perlis Student Teaching Award and the Carnegie
Mellon University Graduate Student Teaching Award.Host: Rahul Jain; Assistant Professor; EE-Systems rahul.jain@usc.edu

Location: Hughes Aircraft Electrical Engineering Center (EEB) - 248

Audiences: Everyone Is Invited

Contact: Rahul Jain