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to know about what’s on the other
side of the connection; as an
individual user, you may never have
an idea of what kind of massive
data processing is happening on
the other end. The end result is the
same: with an online connection,
cloud computing can be done
anywhere, anytime.”
Oftentimes, when talking about
“the cloud” people will actually
look up into the sky, as if “the
cloud” is an ethereal, non-physical
entity. In reality, there is no single
“cloud” – there are many clouds,
both private and public, and behind
each cloud, there is substantial
physical infrastructure. To process,
store and provide data access, the
ubiquitous clouds utilize the same
type of data center infrastructure as
found in most companies, i.e., rack-
mounted servers, switches, storage
devices, firewalls, load balancing
and a host of operating systems
and security software. As the OPEX
and CAPEX benefits of leveraging
the cloud, and the economies of
hyperscale become clear,
investments in the infrastructure
increase.
IDC supports this expansion theory:
“The move to cloud computing is
driving significant spending on data
center hardware to support
businesses’ private cloud
initiatives… IDC also forecasts that
server hardware revenue for public
cloud computing will grow from
$582 million in 2009 to $718 million
in 2014, and server hardware
revenue for the larger private cloud
market will grow from $2.6 billion
to $5.7 billion in the same period.”
Taking this one step further, data
centers must also be supported by
a comprehensive power
infrastructure with several layers of
hardware redundancy. This means
massive amounts of electricity are
consumed by the data processing
infrastructure (servers, switches,
storage) as well as facility-related
equipment such as CRAE/CRAC
units, and the power distribution
and backup infrastructure.
Energy is the biggest expense
associated with the cloud’s IT
infrastructure. To keep business-
critical information always available
and reliable, cloud data centers
must operate 24/7/365 with no
downtime – requiring consistent
and enormous amounts of power
consumption. To put this into
perspective, worldwide data centers
consume 30 billion watts of
electricity – or enough to run 30
nuclear power plants. And based
on the NRDC data center efficiency
assessment: “In 2013, U.S. data
centers consumed an estimated 91
billion kilowatt-hours of electricity
— enough electricity to power all
the households in New York City
twice over — and are on-track to
reach 140 billion kilowatt-hours by
2020, the equivalent annual output
of 50 power plants, costing
American businesses $13 billion
annually in electricity bills and
emitting nearly 100 million metric
tons of carbon pollution per year.”
Now that the fog has lifted and the
cloud’s physical infrastructure and
power consumption are exposed,
another question arises: How do
these facility operators manage and
optimize these massive data
centers? To gain operational and
environmental insight many
managers are leveraging Data
Center Infrastructure Management
(DCIM) software. DCIM is the
unification of disjointed IT and
facility-related data into a single
informational source. The single-
source view provides a holistic
dashboard of data center
performance – displaying energy
consumption and environmental
temperatures for optimization,
capacity planning and alerts to
potential downtime.
DCIM brings an added level of
operational insight that helps IT and
facility managers understand the
interconnected relationship
between facility equipment and IT
racked-devices. This understanding
is the result of energy monitoring
sensors and software capable of
tapping into a Building
Management System (BMS) or
Building Automation System (BAS),
as well as directly into various
pieces of infrastructure, sensors,
Power Distribution Units, branch
circuit monitors, power strips, even
servers, to accurately aggregate
and analyze Power Usage
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