Abstract
Most of the previous research on data centers power consumption has
focused on understanding how to minimize the power consumption inside the
data center. It is, however, also important to investigate the power consumption
associated with transporting data between data centers and end users. In this
paper, we consider three problems. First, through linear programming (LP)
models and through simulations we determine the optimal location of a data
center or multiple data centers in an IP over wavelength-division-multiplexing
network so as to minimize the network's power consumption. Here, we consider
the impact of network topology, traffic profile, upload and download rates,
number of data centers and the impact of power minimization on delay. Second,
we study how to replicate content that has different popularity to minimize
power consumption through the use of an LP model. Here, we consider five classes
(but the models are general) of content that have different levels of popularity
and consider multiple data centers. The optimization attempts to identify
where to store a data object that has a given popularity such that the network's
power consumption is minimized. We have also developed a novel routing algorithm,
energy-delay optimal routing, to minimize the power consumption of the network
under replication while maintaining QoS. Third, we investigate through LP
the problem of whether to locate data centers next to renewable energy or
to transmit renewable energy to data centers in a given network topology under
different traffic conditions and taking into account the network components'
power consumption. Given a number of wind Farms whose locations are known
together with the electrical power transmission losses, we identify the optimal
location of data centers such that the network's power consumption is minimized
and consider a network where the nodes that are not connected to wind farms
have access to solar power. The results show that by identifying the optimum
data center locations, combining the multi-hop bypass heuristic with renewable
energy and the replication scheme, power consumption savings of up to 73%
can be achieved.
© 2011 IEEE
PDF Article
More Like This
Cited By
You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.
Contact your librarian or system administrator
or
Login to access Optica Member Subscription