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Open Cloud Standards In The Real World

Alan Sill (Texas Tech University)
Cloud
F 150
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Slides:   external link,   2-PDF 

Cloud software controls, interfaces and protocols are often characterized by discoverability, flexibility and rapid change. It remains to be seen whether classic approaches such as standards-based APIs and protocols will be able to adapt to this new territory, or will instead find themselves needing to evolve into forms that are no longer recognizable compared to their previous patterns of development and usage.

The Cloud and Autonomic Computing Center at Texas Tech University (CAC@TTU) is a site of the CAC currently supported by the National Science Foundation specifically to study this topic. It is an Industry/University Cooperative Research Center – an I/UCRC in NSF parlance – which basically means that it is funded specifically to cross the industry/university boundary. The CAC@TTU has brought up the nation’s first independent testing program specifically focused on cloud standards and used it to study performance, potential interoperability and design characteristics for several such standards in real-world software settings ranging from prototype APIs and reference implementations to large-scale methods for federation and combination of completely different clouds.

Learn about our Cloud Standards Testing Lab results to date and how you can get involved to test and extend the successes from these results in your own cloud software settings.

Photo of Alan Sill

Alan Sill

Texas Tech University

Alan Sill directs the National Science Foundation Center for Cloud and Autonomic Computing at Texas Tech University, where he is also a senior scientist at the High Performance Computing Center. A particle physicist by training, he serves as VP of Standards for Open Grid Forum, co-chairs the US National Institute of Standards and Technology “Standards Acceleration to Jumpstart Adoption of Cloud Computing” working group, and co-edits the IEEE Cloud Computing magazine. He is active in many cloud standards working groups and on national and international standards roadmap committees and is committed to development of advanced distributed computing methods for real-world science and business applications.