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Chameleon: Cloud Computing For Computer Science

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Credit: Alpha Coders

The U.S. National Science Foundation recently announced a new $10 million project to create a cloud computing testbed called Chameleon, an experimental platform for cloud architecture and applications. Chameleon will enable researchers to develop and experiment with novel cloud architectures and pursue new cloud computing applications. "Like its namesake, the Chameleon testbed will be able to adapt itself to a wide range of experimental needs, from 'bare metal' reconfiguration to support for ready-made clouds," says principal investigator Kate Keahey, a scientist at the University of Chicago's Computation Institute.

Chameleon is designed to support a variety of cloud research, as well as provide a learning platform for how to build better large-scale computing systems. "Finding suitable realistic experimental platforms to facilitate computer science research is always a daunting task, and that includes research in cloud computing," says University of Texas at El Paso professor Patricia Teller. The Chameleon testbed will comprise 650 cloud nodes with 5 petabytes of storage. Users will be able to combine hardware, software, and networking components and then test their performance.

Chameleon also supports heterogeneous architectures, including low-power processors, general-processing units, and field-programmable gate arrays. Chameleon's developers plan to add new capabilities in response to community demand or when innovative new products are available.

From Texas Advanced Computing Center
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Abstracts Copyright © 2014 Information Inc., Bethesda, Maryland, USA


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