A Control Theory Foundation for Self-Managing Computing Systems

Yixin Diao; Joseph Hellerstein; Sujay Parekh; Rean Griffith; Gail E. Kaiser; Dan Phung

A Control Theory Foundation for Self-Managing Computing Systems
Diao, Yixin
Hellerstein, Joseph
Parekh, Sujay
Griffith, Rean
Kaiser, Gail E.
Phung, Dan
Technical reports
Computer Science
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Columbia University Computer Science Technical Reports
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Department of Computer Science, Columbia University
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New York
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. Control theory provides a rich set of methodologies for building automated self-diagnosis and self-repairing systems with properties such as stability, short settling times, and accurate regulation. However, there are challenges in applying control theory to computing systems, such as developing effective resource models, handling sensor delays, and addressing lead times in effector actions. We propose a deployable testbed for autonomic computing (DTAC) that we believe will reduce the barriers to addressing research problems in applying control theory to computing systems. The initial DTAC architecture is described along with several problems that it can be used to investigate.
Computer science
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Suggested Citation:
Yixin Diao, Joseph Hellerstein, Sujay Parekh, Rean Griffith, Gail E. Kaiser, Dan Phung, 2005, A Control Theory Foundation for Self-Managing Computing Systems, Columbia University Academic Commons, http://hdl.handle.net/10022/AC:P:29508.

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