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SUMMARY:Scheduling to balance energy and delay: Optimality versus robustne
 ss - Wierman\, A (CALTECH)
DTSTART:20100602T150000Z
DTEND:20100602T160000Z
UID:TALK25077@talks.cam.ac.uk
CONTACT:Mustapha Amrani
DESCRIPTION:No longer is faster always better in computer system design. N
 owadays\, across all levels of computer systems\, speed costs power and po
 wer costs money -- so performance must be balanced with energy usage. The 
 most common approach for balancing energy consumption and performance is d
 ynamic speed scaling\, which adapts the processing speed to the current wo
 rkload. The focus of this talk is to understand some fundamental questions
  about speed scaling. A key feature our analysis reveals is a conflict bet
 ween designs that provide optimality guarantees on performance and designs
  that provide robust performance across varying workloads. This motivates 
 us to use an analytic approach that combines techniques from queueing theo
 ry and online algorithms to attain worst-case guarantees for optimal stoch
 astic control policies. This talk presents joint work with Lachlan Andrew\
 , Minghong Lin\, and Ao Tang. 
LOCATION:Seminar Room 1\, Newton Institute
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