DATE: Thursday, March 4, 2010
TIME: 12:00 pm - 1:00 pm
PLACE: Gates Center 8102
- note special location

Joseph Hellerstein, Google

TITLE: Engineering Autonomic Systems

The wide-spread interest in self-management reflects the disturbing fact that scaling information systems is often impaired by the burdens of management and operations. These concerns have motivated the development of technologies for self-healing, self-configuration, self-optimization, and self-protection. Regrettably, it is rare for these technologies to be deployed in production because of their hidden costs. For example, model-based approaches for configuration and optimization are powerful in laboratory demonstrations, but these approaches typically have high costs for model construction and maintenance. This talk discusses the need for a methodology for engineering autonomic systems that systematically addresses requirements, design, implementation, and assessment. The approach discussed in this talk is based on control theory, an approach that is widely used in other engineering disciplines to blend formal mathematics with practical insights to build robust systems.

Joseph L Hellerstein ( is at Google, Inc. where he manages the Performance Analytics Department that develops scalable resource management algorithms and tools for performance prediction and analysis. From 2006 to 2008, he was a Principal Architect at Microsoft Developer Division where he developed scheduling optimizations for .NET. From 1984 through 2006, he was a Senior Manager at the IBM Thomas J. Watson Research Center in Hawthorne, New York, where he founded the Adaptive Systems Department that contributed control technologies to IBM products. Dr. Hellerstein received his undergraduate degree from the University of Michigan in Ann Arbor, and his M.S. and Ph.D. in Computer Science from the University of California at Los Angeles. He has published over 100 peer-reviewed papers and two books, and has taught at Columbia University and the University of Washington. Dr. Hellerstein is a Fellow of the IEEE and received the IEEE/IFIP Stokesberry Award for outstanding contributions to the network management community.

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