Self-Managing Systems: A Control Theory Foundation

Authors:
Joseph L. Hellerstein
Affiliations:
IBM Thomas J. Watson Research Center, Hawthorne, New York
Venue:
LCN '04 Proceedings of the 29th Annual IEEE International Conference on Local Computer Networks
Year:
2004

Citing 0
Cited 3

A multi-model framework to implement self-managing control systems for QoS management

Proceedings of the 6th International Symposium on Software Engineering for Adaptive and Self-Managing Systems
Self-adaptive software meets control theory: A preliminary approach supporting reliability requirements

ASE '11 Proceedings of the 2011 26th IEEE/ACM International Conference on Automated Software Engineering
An evaluation of multi-model self-managing control schemes for adaptive performance management of software systems

Journal of Systems and Software

Quantified Score

Hi-index	0.00

Visualization

Abstract

The high cost of ownership of computing systems has resulted in a number of industry initiatives to reduce the burden of operations and management by making systems more self-managing. A major challenge in realizing self-managing systems is understanding how automated actions affect system behavior, especially system stability. Other disciplines such as mechanical, electrical, and aeronautical engineering make use of control theory to design feedback systems. This talk uses control theory as a way to identify a number of requirements for and challenges in building self-managing systems.