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The Intercloud: Realtime Apps

An App Store For The Realtime Planet

A realtime data explosion is underway throughout business, finance, government, health, media, science, sensors and the web. Individuals and organizations that had only recently figured out how to cope with thousands or millions of events per day are now drowning in billions of realtime events per day, and for leading organizations the number is rapidly heading towards ONE TRILLION EVENTS PER DAY. Gigabyte databases are history, multi-terabyte datastores are now routine even for small businesses, and for leading web businesses the size is now in the petabytes.



The challenges of this realtime data explosion are not just being felt by leading web businesses such as the Internet 10 (Google, Microsoft, Yahoo, eBay, Facebook,...). Its spreading like crazy: Internet 10 -> Fortune 500 -> Global 2000 -> SMBs -> Gov -> facebook/Twitter users -> EVERYBODY! We now have an exponentially growing demand for realtime apps that can analyze, process, filter and intelligently correlate the incredible volumes of realtime data that are now streaming continuously into private datacenters and public clouds all across the world.

The following are just some of the application areas where the need for powerful new realtime apps is now critical:  Advertising, Recommendation, Pricing, Clickstreams, Trading, Risk, Fraud, Compliance, data.gov, defense, Itelligence, Healthcare, News, Sentiment, Blogs, Buzz, Genomics, Biotech, Security, Datacenters, Networks, Traffic, RFID, Energy Grids, Online Games, Social Networks, Lifestreams, Location-Based Services.

Realtime intercloud analytics will enable these and many other apps to be developed and deployed simply and quickly from desktop or mobile clients, unleashing a new wave of creativity around realtime apps that will have a profound impact on how we live and work.

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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