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Solving the Elasticity-in-the-Cloud Equation

One of the lesser appreciated attributes of cloud computing is the need for elasticity. As defined by the National Institute of Standards and Technologies, applications running on a cloud should be able to scale up and down automatically.

Of course, that's one of those IT things in other words a lot easier said than in fact done. Cloud computing service providers can afford to make excess compute capacity available on demand, nevertheless if you're building a private cloud, that's a little more complicated endeavor.

According to Steve Dietch, HP vice president of marketing for cloud solutions, the idea is that the customer would only pay for the capacity-on-demand capability when those systems are in fact used. This approach, says Dietch, gives clients a private and public option to creating an elastic cloud computing model.

As IT organizations get more adept at building private clouds, they will continue to discover that there is more than one way to go about it. Each option will need to be explored in the context of application performance requirements, cost and compliance issues. But all things considered about cloud computing, the most appreciated aspect of this computing model is going to be the flexibility it provides, which can't actually be attained without first solving the elasticity equation.

Join us for this webinar, featuring Mark Armstrong, a program manager in the Netcool product management team from IBM Tivoli, as he discusses Netcool's flexible solutions for managing data center networks in this era of virtualization and the cloud.

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More information: Itbusinessedge
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    "public Option"

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    Elasticity Equation In The News

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    Demand Elasticity Of Voip