Home

About

Advanced Search

Browse by Discipline

Scientific Societies

E-print Alerts

Add E-prints

E-print Network
FAQHELPSITE MAPCONTACT US


  Advanced Search  

 
FAWNdamentally Power-efficient Clusters Vijay Vasudevan, Jason Franklin, David Andersen
 

Summary: FAWNdamentally Power-efficient Clusters
Vijay Vasudevan, Jason Franklin, David Andersen
Amar Phanishayee, Lawrence Tan, Michael Kaminsky, Iulian Moraru
Carnegie Mellon University and Intel Research, Pittsburgh
1 Introduction
Power is becoming an increasingly large financial and
scaling burden for computing and society. The costs of
running large data centers are becoming dominated by
power and cooling to the degree that companies such as
Microsoft and Google have built new data centers close
to large and cost-efficient hydroelectric power sources [8].
Studies have projected that by 2012, 3-year data center
energy costs will be double that of server equipment ex-
penditures [15]. Power consumption and related cooling
costs have become a primary design constraint at all levels,
limiting the achievable density of data centers and large
systems, and pushing processor manufacturers towards
alternative architectures. While power constraints have
pushed the processor industry toward multi-core archi-
tectures, power-efficient alternatives to traditional disk

  

Source: Andersen, Dave - School of Computer Science, Carnegie Mellon University
Carnegie Mellon University, School of Computer Science, Informedia Project

 

Collections: Computer Technologies and Information Sciences