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12th IEEE International Conference and Workshops on the Engineering of Computer-Based Systems (ECBS'05)   pp. 441-448
Self-Managing Systems: A Control Theory Foundation
Yixin Diao, IBM Thomas J. Watson Research Center
Joseph L. Hellerstein, IBM Thomas J. Watson Research Center
Sujay Parekh, IBM Thomas J. Watson Research Center
Rean Griffith, Columbia University
Gail Kaiser, Columbia University
Dan Phung, Columbia University

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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ECBS.2005.60
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Abstract
The high cost of operating large computing installations has motivated a broad interest in reducing the need for human intervention by making systems self-managing. This paper explores the extent to which control theory can provide an architectural and analytic foundation for building self-managing systems, either from new components or layering on top of existing components. Further, we propose a deployable testbed for autonomic computing (DTAC) that we believe will reduce the barriers to addressing key research problems in autonomic computing. The initial DTAC architecture is described along with several problems that it can be used to investigate.
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Citation:  Yixin Diao, Joseph L. Hellerstein, Sujay Parekh, Rean Griffith, Gail Kaiser, Dan Phung, "Self-Managing Systems: A Control Theory Foundation," ecbs, pp. 441-448,  12th IEEE International Conference and Workshops on the Engineering of Computer-Based Systems (ECBS'05),  2005