Open Science Research Excellence
@article{(International Science Index):http://waset.org/publications/10003412,
  title    = {Interplay of Power Management at Core and Server Level},
  author    = {Jörg Lenhardt and  Wolfram Schiffmann and  Jörg Keller},
  country   = {Germany},
  institution={University of Hagen},
  abstract  = {While the feature sizes of recent Complementary Metal
Oxid Semiconductor (CMOS) devices decrease the influence of static
power prevails their energy consumption. Thus, power savings that
benefit from Dynamic Frequency and Voltage Scaling (DVFS) are
diminishing and temporal shutdown of cores or other microchip
components become more worthwhile. A consequence of powering off unused parts of a chip is that the
relative difference between idle and fully loaded power consumption
is increased. That means, future chips and whole server systems gain
more power saving potential through power-aware load balancing,
whereas in former times this power saving approach had only
limited effect, and thus, was not widely adopted. While powering
off complete servers was used to save energy, it will be superfluous
in many cases when cores can be powered down. An important
advantage that comes with that is a largely reduced time to respond
to increased computational demand. We include the above developments in a server power model
and quantify the advantage. Our conclusion is that strategies from
datacenters when to power off server systems might be used in the
future on core level, while load balancing mechanisms previously
used at core level might be used in the future at server level.},
  {International Journal of Computer and Information Engineering },  volume    = {10},
  number    = {1},
  year      = {2016},
  pages     = {136 - 141},
  ee        = {http://waset.org/publications/10003412},
  url       = {http://waset.org/Publications?p=109},
  bibsource = {http://waset.org/Publications},
  issn      = {eISSN:1307-6892},
  publisher = {World Academy of Science, Engineering and Technology},
  index     = {International Science Index 109, 2016},
}