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The Intercloud: Coming to a Desktop or Mobile Device Near You

The Cloudscale platform can handle all types of realtime data, and is as easy to use as a spreadsheet.

Twenty years ago, the work of Tim Berners-Lee gave birth to the WWW and ushered in the internet revolution. Now, in 2009, we stand on the threshold of another major disruption in computing, as computing begins to move to a worldwide network of clouds, the Intercloud.

At Cloudscale we're preparing for the public launch, later in the year, of the first Intercloud service, a platform for the world's realtime apps. In response to a number of requests for information, here is a brief overview of what we have been developing.

The Cloudscale platform can handle all types of realtime data, and is as easy to use as a spreadsheet. Complex analytics can be run continuously, with automatic scaling and fault tolerance to ensure realtime responsiveness. The platform offers users seamless integration from standard desktop or mobile clients to realtime intercloud apps.

As a self-service platform aimed at mass market adoption, there is no database software and administration to deal with, and no IT department delays and complexity to get in the way of delivering immediate value to users. The platform will drive the democratization of data, unleashing creativity and “turning data into action” everywhere. Like the iPhone platform, Cloudscale’s AppStore will provide a commercial marketplace for the many exciting new apps developed on the platform.

 

More information will be available as we get closer to the launch date, including details of how to sign up for the service and begin to explore the world of Intercloud Computing.

 

More Stories By 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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