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Virtual Machine Density as the New Measure of IT Efficiency

You’re going to need a dynamic infrastructure lest you effectively negate the gains achieved by higher VM densities

You’re going to need a dynamic infrastructure lest you effectively negate the gains achieved by higher VM densities

In the continuing saga of “do more with less” comes a new phrase that’s being tossed around: VM density. For example, VMware puts forth the notion that the Total Cost of Ownership (TCO) of virtualization technology must consider VM density, saying, “Density matters in a many-to-one relationship.” VMware illustrates this concept in the context of TCO, but in general an increasing number of solutions are beginning to tout not only the benefits of higher VM density, but of their solutions ability to affect it. They recognize it as a valuable measure of efficiency. The general measure is this: the more virtual machines per physical server, the better.

VM density relates closely to IT efficiency in just about any way you measure it: whether it’s the “cost per application” or “cost per user”, the density of virtual machines per server is going to factor into the equation. But so does the cost of managing those virtual machines, and the flexibility inherent in virtualization and cloud computing models comes at a cost: managing an increasing complex network and application network manually.


THE MATHEMATICAL DILEMMA


vmgrowthThe dilemma is that the cost of management increases across IT as VM density grows, which actually decreases efficiency – at least as a measure of cost per virtual machine. IDC predicts not only the increase in VM density – as does Gartner and just about every other analyst firm – but also that the ratio of administrators to virtual servers will increase accordingly. By 2012 IDC predicts in its “Data Center of the Future (March 2009)” that the typical 25:1 VM to administrator ratio will increase to 35:1.

Unfortunately, the management costs incurred by a virtual machine are not decreasing despite the math that says it should. In fact, the increasing complexity posed by the growth of virtual machines will have a deleterious affect on the cost of managing the overall infrastructure, especially at the network layer. That’s because there’s more involved in this type of change than just movement of a virtual machine. The underpinnings of the network: DHCP, DNS, IPAM, are all impacted – and not necessarily favorably – by the increase in VM density.

Greg Ness says it well in “Today’s Networks Resemble Yesterday’s Factories”:

“This growing tension between system automation, increasing VLAN density/VMsprawl and rising network manual labor costs sets the stage for massive network innovation in management/automation, security and application delivery. Without innovation the network becomes more expensive to operate and less relevant to the ongoing march of IT.”


NEEDED INNOVATION IS FOUNDED ON INFRASTRUCTURE 2.0


Infrastructure 2.0 offers the foundation on which solutions can be constructed to counter the costs of higher VM densities and increasing management expense. Whether it’s network, application delivery network, or at the IP address management layer, the ability of solutions to collaborate via integration and take decisive actions based on the data exchanged between such integrated infrastructure is what is required to create the data center of the future that isn’t so prohibitively expensive to run that it never comes to fruition. It is the glue that will hold together the data center in the future.

The analogy of today’s network as a factory is altogether too true; packets come in one end and out the other comes a response. It’s an assembly line, with every packet and request being treated as equally as others. Customization is not possible, and any change to the process is disruptive. Along comes dynamic infrastructure; an infrastructure that takes as a core precept the concept of context. Context gives infrastructure the ability to not just deal with the change inherent in high density virtualized architectures, but act upon it in a flexible way. When an infrastructure is dynamic and context-aware, it can customize and treat each request as an individual entity deserving of the “special attention” once only afforded expensive, custom processing. And it is that flexibility coupled with programmability from whence innovation comes.

While VM density may be the new measure of IT efficiency, part of that metric must include the cost to manage the increasing rate of change it brings with it. In order to keep those costs down it will be necessary to architect a network and application network that takes advantage of the integration capabilities of Infrastructure 2.0 while leveraging the flexibility inherent in this new breed of infrastructure solutions.


 

vmworld_2009

Going to VMworld? Interested in seeing automation of the DATA CENTER like you’ve never seen before? Make sure to visit F5 @ VMworld to see just how far a dynamic infrastructure can TAKE YOUR VIRTUALIZED ARCHITECTURE.

You can follow F5 on Twitter for details - we’ll make sure you know where to be when it happens.


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More Stories By Lori MacVittie

Lori MacVittie is responsible for education and evangelism of application services available across F5’s entire product suite. Her role includes authorship of technical materials and participation in a number of community-based forums and industry standards organizations, among other efforts. MacVittie has extensive programming experience as an application architect, as well as network and systems development and administration expertise. Prior to joining F5, MacVittie was an award-winning Senior Technology Editor at Network Computing Magazine, where she conducted product research and evaluation focused on integration with application and network architectures, and authored articles on a variety of topics aimed at IT professionals. Her most recent area of focus included SOA-related products and architectures. She holds a B.S. in Information and Computing Science from the University of Wisconsin at Green Bay, and an M.S. in Computer Science from Nova Southeastern University.

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