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each individual environment. New, individualized toolsets are<br />
emerging to help guide CIOs as they converse with industry.<br />
�ese toolsets also complement the generic solutions resulting<br />
from hypervisor interoperability, dense computing, and 64-bit<br />
architectures.<br />
One example is V CO (pronounced V-COE), which helps the<br />
CIO communicate his or her requirements to industry. He or she<br />
also can evaluate and compare industry’s recommendations in a<br />
straightforward and meaningful manner.<br />
�is management tool allows alternative solutions to be evaluated<br />
in order to help the CIO select the solution or solutions<br />
that provide the lowest possible total cost of ownership future. It<br />
creates the following:<br />
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different virtualization stacks<br />
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VM for the specific application<br />
�� �������������������������������������������������������<br />
unique operational requirements are included<br />
�e V CO is based on the insight that the VM file contains<br />
all of the business and operational value. Yet the infrastructure<br />
required to run and operate the VM file has become a pure<br />
commodity. Once the VM is created, the historical dependence<br />
between the hardware, operating system, and application has<br />
been permanently severed. With the emergence of the OVF,<br />
VMs can simply be deployed to any available virtualized infrastructure.<br />
In essence, virtualization turns the underlying<br />
infrastructure into a pure commodity. It’s therefore reasonable<br />
Figure: The V CO framework is depicted here.<br />
for the CIO to demand that this infrastructure deliver the lowest<br />
possible total cost of ownership to the organization.<br />
�is model establishes the “cost per VM baseline,” which is<br />
used to compare and contrast new technologies that can deliver<br />
superior and ongoing cost savings. �e framework is open and<br />
extensible to meet future requirements. To evaluate alternative<br />
VM infrastructures, it begins by determining the V CO for the<br />
target application (see the Figure). In modern data-center operation,<br />
the inputs required for the tool should all be available. Once<br />
the application’s V CO is determined, the CIO can provide it to<br />
industry and benefit from the open competition.<br />
Now, the virtualization conversation between the CIO and<br />
industry can be aligned with the CIO’s objectives. �e newest<br />
and greatest innovations can be assessed in the context of how<br />
they reduce the total cost of operation for an application stack.<br />
By adopting these types of tools, the CIO will reward marketplace<br />
innovations that continually reduce the cost of running<br />
and operating a VM. For example, moving the emphasis to total<br />
system optimization and away from any individual-solution<br />
component will result in the lowest total cost of operation for the<br />
application.<br />
�e V CO drives the optimization of these tradeoffs, resulting<br />
in the lowest operational cost per VM for the organization.<br />
Understanding these tradeoffs and the impact on the cost of<br />
running and operating a single VM provides the CIO with new,<br />
critical insights into the operation. It also puts him or her back<br />
in control of understanding how industry innovation can reduce<br />
ongoing operational costs.<br />
Together, hypervisor interoperability, dense computing, and<br />
the migration to 64-bit architectures have defined the server-virtualization<br />
journey. �ey also have allowed CIOs to focus on how<br />
these advances are impacting current architectures and reducing<br />
costs. �e resulting solutions have propelled virtualization to the<br />
forefront of the industry and made the case for distinct benefits.<br />
As CIOs wade through the solutions advanced by these trends,<br />
however, the search continues for tools that help to identify the<br />
best virtualization strategy for their unique enterprise environments.<br />
�ese tools also should get industry to respond to their<br />
specific requirements.<br />
1Bernd Harzog, “Gartner Projects Server Virtualization to Grow from 16%<br />
to 50% of Workloads by 2012,” �e Virtualization Practice,October 21, 2009.<br />
(http://www.virtualizationpractice.com/blog/?p=2496)<br />
2Sean Michael Kerner, “Virtual Servers Top Physical Ones, WAN Opti-<br />
mization Soars: IDC,” Datamation, April 28, 2010. (http://itmanagement.<br />
earthweb.com/datbus/article.php/3879246/Virtual-Servers-Top-Physical-<br />
Ones-WAN-Optimization-Soars-IDC.htm)<br />
3Copyright © 2009 Distributed Management Task Force, Inc. (DMTF). All<br />
rights reserved. Document Number: DSP0243 Date: 2009-02-22<br />
Mr. Carlson’s 26 year career has paralleled the growth<br />
of the information technology industry from back office<br />
automation to strategic business process enabler.<br />
Both as an IBM executive and as the CEO of 2 start-up<br />
companies, Mr. Carlson has specialized in developing<br />
and implementing leading-edge business solutions that<br />
provide competitive advantage through the systematic exploitation of<br />
technology. He is now focused on the rapidly growing optimized solution<br />
server market and leading business development and product initiatives<br />
for Criterion HPS.<br />
www.embeddedintel.com | <strong>Embedded</strong> Intel ® <strong>Solutions</strong> — Winter 2011 | 31<br />
SPECIAL FEATURE Virtual Optimization