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CIO/CTO Update: Article

Cloud Computing Science--and Business

Adaptivity Keynote at Cloud Expo Tackles this Topic

The big struggle over the past decade or so, as IT has become more dynamic and flexible, is to get the business side not only talking to the IT department, but for IT initiaives--even infrastructure--to reflect business goals. Get the dog to wag the tail, in other words.

As we pass through the gates into the world of Cloud Computing, we are faced with entirely new challenges in aligning the business with the infrastructure. Cloud Computing offers a theoretically unlimited flexibility, and depending on its granularity, the ability for companies to pay for computing services in the way they'd use water or electricity.

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But you can't just snap your fingers and get your infrastructure-as-a-service delivered just the way you want it. Cloud Computing actually puts more pressure than ever on IT management to plan and deploy efficiently, without getting caught flatfooted during spiky times or vastly overpaying during slack times.

Adaptivity CEO knows a thing or two about all this, and will thus be presenting a Cloud Expo keynote on integrating business thinking with the engineering challenge of cloud in a session entitled "The Science of Doing Business in the Cloud." As he says, "Workloads manifest the demand of the business from applications and services. These workloads have common patterns and known qualities, as do the applications and infrastructure deployment models that support them."

He will describe what he and Adaptivity call a "systematic and prescriptive approach that combines (the company's) Fit-for-Purpose infrastructure and management capabilities" in order to "create the optimal economics, environment and autonomics needed for the business to leverage cloud services."

More Stories By Roger Strukhoff

Roger Strukhoff (@IoT2040) is Executive Director of the Tau Institute for Global ICT Research, with offices in Illinois and Manila. He is Conference Chair of @CloudExpo & @ThingsExpo, and Editor of SYS-CON Media's CloudComputing BigData & IoT Journals. He holds a BA from Knox College & conducted MBA studies at CSU-East Bay.