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Chameleon: How to Build a Cloud++
December 16 @ 3:30 am – 4:00 pm
Chameleon is a large-scale, deeply reconfigurable experimental platform built to support Computer Sciences systems research. Community projects range from systems research developing exascale operating systems, virtualization methods, performance variability studies, and power management research to projects in software defined networking, machine learning, and resource management. What makes Chameleon unique is that it provides these sophisticated capabilities based on a mainstream infrastructure cloud system (OpenStack). In this talk, I will explain the challenges we faced in building Chameleon, lessons learned, operations experiences, and describe our packaging of the system that integrates both the developed capabilities and the operational experience and facilitates managing platforms of this kind.
Kate Keahey is one of the pioneers of infrastructure cloud computing. The Nimbus project she created is recognized as one of the first open source Infrastructure-as-a-Service implementations and she continues to work on research aligning cloud computing concepts with the needs of scientific centers and applications. To facilitate such research for the community at large, Kate leads the Chameleon project, providing a deeply reconfigurable, large-scale, and open experimental platform for Computer Science systems research. Kate also co-founded and serves as co-Editor-in-Chief of the SoftwareX journal, a new format designed to publish software contributions. Kate is a Senior Computer Scientist at Argonne National Laboratory and a Senior Fellow at the Computation Institute at the University of Chicago.