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Thesis Defense - Cope

ECCS 123

Data Management for Urgent Computing Environments
Computer Science PhD Candidate

Urgent and emergency computing systems provide scientists with tools and capabilities to quickly allocate high-performance computing resources for time-critical applications. The usage and availability of storage and network resources in urgent computing environments can negatively impact the execution of data intensive emergency computing applications. In this talk, we present our work on supporting time-critical applications dependent on storage and network resources. We analyze the usage of current urgent computing systems and evaluate the data requirements for a potential emergency computing application. We present several data management policies and robust resource allocation techniques for urgent computing environments. Using the previously analyzed application and environment data, we evaluate these policies and techniques.

Committee: Henry Tufo, Associate Professor (Chair)
Kenneth Anderson, Associate Professor
Pete Beckman, Argonne National Laboratory
Daniel Connors, Colorado State University
Shivakant Mishra, Associate Professor

See also:
Department of Computer Science
College of Engineering and Applied Science
University of Colorado Boulder
Boulder, CO 80309-0430 USA
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May 5, 2012 (13:40)