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Join us as we delve into the innovative concepts presented by Michael Papish at the P2P & Cloud Conference on March 9, 2010. This keynote explores MediaUnbound's role in media personalization through hybrid cloud computing, which combines private and public cloud solutions to meet diverse demands. Papish discusses how mining P2P data can reveal user trends and assist in content recommendation technologies. With a focus on international service and a strong foundation in digital media, discover how MediaUnbound drives the future of content personalization.
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P2P & Cloud Conference: Keynote March 9, 2010 Michael Papish – Keynote
Agenda • Who is MediaUnbound? • What is hybrid-cloud computing? • How does MediaUnbound use hybrid-cloud computing? • How can you mine P2P data to drive technology? • Coming Soon…
Introduction • Based in Cambridge, MA—the real center of the digital media world • Regional offices for content analysis in Germany and Japan • Founded in January 2000 • Creates media personalization/ recommendation technology
Corporate Info • 9+ year track record in learning about media personalization and providing production-grade technology to customers • Strong team and technology advisors • Pattie Maes (MIT Media Lab), Robert Berwick (MIT AI Lab), Jonathan Zittrain (Harvard Law School) • Privately held—profitable since 2003 • Company offers solutions to digital media providers not individual consumers • International focus—provide services for North America, Europe, South America, and Asia
Implementations: eMusic powered by
Hybrid-Cloud Computing Q: What is hybrid-cloud computing? A: Hybrid-cloud computing is a fancy name for the practice of hosting parts of your service in multiple locations
Use of hybrid cloud We utilize hybrid public-private cloud • We host critical components and data in private datacenter • But, we host in the “public” cloud (e.g. EC2) for: • Spikes in demand. Very useful when clients can drive unanticipated demand • Devel and staging environments. Public cloud is ideal for providing pre-production services to clients, since these environments can be created on-demand and completely walled-off from sensitive private cloud operations • Large data runs. Access to an elastic, public cloud allows MUI to instantiate a large number of compute nodes for one-off, large-scale computation runs (e.g. 100s of nodes). This is much cheaper than acquiring private cloud capacity for one-off computations.
Reasons to adopt hybrid cloud Need to evaluate following, before choosing hybrid architecture: • Ability to predict demand and usage • Security needs. When hosting multiple global 500 clients, a private cloud approach can provide increased comfort levels around data security • Utilization. Elastic public cloud resources can be ideal for one-off usage, since it will be cheaper than acquiring a large amount of private capacity which might sit idle.
How to mine P2P data Raw P2P traffic contains valuable information • Large amount of easily accessible, public data • In aggregate, reveals trends • At the individual peer level, can find usage patterns on specific content and user types
MUI’s P2P datawarehouse In our datawarehouse, we have: • 250M+ snapshots of individual shared collections • Spanning 10 years—since 2000 and multiple networks (original Napster, soulseek/slsk, gnutella, etc.) • Quality of data changes over period • Early collections are more representative of individual tastes; users had yet to realize how to turn off sharing • Later collections are pared down, more focused on current content; more superusers
Coming Soon... Coming soon… • Exciting announcement • Strong push into video (movies, TV, etc.) • Focus on non-PC devices • Integrating local content with cloud content via intelligent recommendations and organization tools
P2P & Cloud Conference: Keynote March 9, 2010 Michael Papish – Keynote