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A Convex Optimization-Based Approach to Control of Uncertain Execution Platforms

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Author

  • Mikael Lindberg

Summary, in English

The problem of resource management in a sys- tem of a-priori unknown software components executing on nondeterministic hardware is considered. The approach uses on-line parameter estimation to address uncertainties and combines this with a convex optimization-based control scheme able to handle overload situations. An algorithm to solve the optimization in real-time is presented together with perfor- mance analysis through simulations. An implementation of the approach is experimentally compared with a static analysis scheme using worst case a-priori estimates. It is demonstrated that the presented approach outperforms the static scheme in situations with uncertainty and that the advantage increases as uncertainty grows.

Publishing year

2010

Language

English

Pages

2322-2329

Document type

Conference paper

Topic

  • Control Engineering

Conference name

49th IEEE Conference on Decision and Control

Conference date

2010-12-15

Conference place

Atlanta, Georgia, United States

Status

Published

Research group

  • LCCC