Data centers are not determined by their physical size. The small
businesses can use a small room juxtaposed multiple servers and storage spaces interconnected. Large-scale
IT companies,can fill a huge warehouse. It is also possible to set up
mobile installations, such as containers, also called data centers in a box, which can be moved and deployed as needed.
On
the other hand, it is possible to define a data center according to
its level of reliability and resilience. Data centers are
classified by thirds. In 2005, ANSI and TIA published the ANSI / TIA-942 Standard, Telecommunications Infrastructure Standard for Data Centers. This standard defines
four-thirds of Data Center designs.
Theoretically, any sufficiently large space can serve as a data
center. However, the
design and implementation of a data center requires several precautions. Beyond
the basic problems of cost and taxes, sites are selected on many criteria, such
as geographical location, weather stability, access to roads and airports,
energy availability, telecommunications and the environment. policy.
Once
a site is secure, the architecture of a Data Center can be designed
with attention to the electrical and mechanical infrastructure, as well as the
composition and layout of the IT equipment. All of these criteria
depend on the data center third party targeted.
The design of a data center must also take into account
energy efficiency. A smaller data center can operate with a few kilowatts of
power, but a large company's installation may require tens of megawatts or
more. Green data centers, designed to have minimal environmental impact
through the use of low-emission building materials, catalytic converters and
alternative energy technologies, are increasingly popular.
The companies typically measure the efficiency of a data center
through a metric called Power Usage Effectiveness (PUE). This
represents the total energy ratio within a data center divided by the energy
used by the computer equipment.
The rise of virtualization has enabled
computer equipment to be used more productively, to maximize efficiency, reduce
energy use, and mitigate costs. Metrics such as CPUE are
no longer essential for energy efficiency goals.
Source: Data Center Consulting
Datacenter
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