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SUMMARY:Improving system energy efficiency by leveraging context awareness
DTSTART:20140305T140000
DTSTAMP:20260406T170135Z
UID:66ca2f3b73026a93dbe2d677db8a0bfd03d5c13b9943b50ab66ad37d
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof. Tajana Simunić Rosing\, University of California\, San 
 Diego\nThe proliferation of personal computing and the advent of cheap\, s
 mall sensors have given the rise of computing at the edge of the tradition
 al computational infrastructure.  While various technological components 
 of the computing systems at the edge of internet already exist\, the key t
 o success of this new class of systems are advances in the abstractions th
 at can support easy extensibility\, and development of adaptive energy man
 agement strategies that ensure efficient system operation.  In this talk 
 I first give an overview of the systems and algorithms we have developed a
 t UCSD to enable the development of adaptive edge computing infrastructure
  along with strategies that significantly lower the energy consumption in 
 sensing\, mobile and edge server infrastructures. The rest of the talk foc
 uses on how context can be leveraged to enhance the system operation.  Co
 ntext is defined as any relevant information that provides a value-add to 
 improving energy efficiency. Source-side context\, in the form of environm
 ental variables\, can help predict solar and wind output\, while load-side
  context\, such as workload analysis and prediction\, can tailor the load 
 to accommodate the energy source variability. We show how we can leverage 
 context in two applications: data centers and individual residences with o
 n-site renewables and distributed energy storage. By applying context data
  to automation\, prediction\, and smart scheduling\, we demonstrate over 9
 0% improvement in green energy efficiency for data centers\, and over 40% 
 improvement in green energy costs in residences when compared with using n
 o context.\nBio: Tajana Simunić Rosing is currently an Associate Professo
 r of Computer Science and Adjunct Associate Professor in the Electrical an
 d Computer Engineering Department at UCSD.  She is currently heading the 
 effort in SmartCities as a part of DARPA and industry funded TerraSwarm ce
 nter. Prior to that she led the energy efficient datacenters theme as a pa
 rt of the MuSyC center.  Her research interests are energy efficient comp
 uting\, embedded and large scale distributed systems.  Prior to this she 
 was a full time researcher at HP Labs while being leading research part-ti
 me at Stanford University.  She finished her PhD in 2001 at Stanford Univ
 ersity\, concurrently with finishing her Masters in Engineering Management
 .  Her PhD topic was Dynamic Management of Power Consumption.  Prior to 
 pursuing the PhD\, she worked as a Senior Design Engineer at Altera Corpor
 ation.
LOCATION:ME B1 B10 http://plan.epfl.ch/?room=MEB1B10
STATUS:CONFIRMED
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