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Richard Davies wrote: The UK has a good crop of technology pioneers in cloud computing - for example ElasticHosts, FlexiScale, Flexiant, OnApp - and also some strong government initiatives such as G-Cloud. We will have to see whether this kind of technical leadership converts into swift mass-market adoption or not.
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The Intercloud: Turning Computing Inside Out
With intercloud computing, the world is going to look quite different, with the computing power moving to where the data is.

The intercloud turns computing inside out. With traditional IT, we move the data to where the computing infrastructure is located. With the data volumes in most application areas now growing exponentially, this IT model is now broken. Moving massive volumes of data around means more bandwidth, more storage, and more latency. We need instead to position the computing infrastructure next to where the data is located. With intercloud computing, we can build global apps and services where a single app can operate on data that may be spread across many public clouds and private datacenters. Intercloud computing means less bandwidth, less storage, and less latency.

Intercloud computing is now emerging as a powerful new model for all kinds of data-intensive IT. In order to reach the world's distributed data sets and realtime data streams, intercloud services and platforms will need to be deployable simply and easily on all public and private clouds. Fortunately, the virtualization and standardization that is an essential component of cloud computing is making this possible.

For fifty years we've been moving data to where the computing power is. With intercloud computing, the world is going to look quite different, with the computing power moving to where the data is.

About Bill McColl
Bill McColl left Oxford University to found Cloudscale. At Oxford he was Professor of Computer Science, Head of the Parallel Computing Research Center, and Chairman of the Computer Science Faculty. Along with Les Valiant of Harvard, he developed the BSP approach to parallel programming. He has led research, product, and business teams, in a number of areas: massively parallel algorithms and architectures, parallel programming languages and tools, datacenter virtualization, realtime stream processing, big data analytics, and cloud computing. He lives in Palo Alto, CA.

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