How to Implement Green Data Centers with IT Virtualization (
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The use of virtualization technology is usually the first and most important step companies can take to create energy-efficient and green data centers. Virtualization is the most promising technology to address both the issues of IT resource utilization and facilities space, power and cooling utilization. IT virtualization, along with cloud computing, is the key to energy-efficienct, flexible and green data centers. Here, Knowledge Center contributor John Lamb describes the concept of IT virtualization and indicates the significant impact that IT virtualization has on improving data center energy efficiency.
The
most significant step most organizations can make in moving to green
data centers is to implement virtualization for their IT data center
devices. The IT devices include servers, data storage, and clients or
desktops used to support the data center. There is also a virtual IT
world of the futurevia private cloud computingfor most of our data
centers.
Although the use of cloud computing in your company's
data center for mainstream computing may be off in the future, some
steps towards private cloud computing for mainstream computing within
your company are currently available. Server clusters are here now and
are being used in many corporate data centers.
Although cost reduction usually
drives the path to virtualization, often the most important reason to
use virtualization is IT flexibility. The cost and energy savings due
to consolidating hardware and software are very significant benefits
and nicely complement the flexibility benefits. The use of
virtualization technologies is usually the first and most important
step we can take in creating energy efficient and green data centers.
Reasons for creating virtual servers
Consider this basic scenario:
You're in charge of procuring additional server capacity at your
company's data center. You have two identical servers, each running
different Windows applications for your company. The first serverlet's
call it "Server A"is lightly used, reaching a
peak of only five percent of its CPU capacity and using only five
percent of its internal hard disk. The second serverlet's call it
"Server B"is using all of its CPU (averaging 95 percent CPU
utilization) and has basically run out of hard disk capacity (that is,
the hard disk is 95 percent full).
So, you have a real problem with
Server B. However, if you consider Server A and Server B together, on
average the combined servers are using only 50 percent of their CPU
capacity and 50 percent of their hard disk capacity. If the two servers
were actually virtual servers on a large physical server, the problem
would be immediately solved since each server could be quickly
allocated the resource each needs.
In newer virtual server
technologiesfor example, Unix Logical Partitions (LPARs) with
micro-partitioningeach virtual server can dynamically
(instantaneously) increase the number of CPUs available by utilizing
the CPUs currently not in use by other virtual servers on the large
physical machine. This idea is that each virtual server gets the
resource required based on the virtual servers immediate need.
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