Managing the complexity of software systems – A control theory approach

Venkatarama, Harish S and Vijayalaxmi, . and Sekaran, Chandra K (2007) Managing the complexity of software systems – A control theory approach. In: National Conference on Knowledge Based Computing Systems & Frontier Technologies 2007, National Institute of Technology Karnataka Surathkal.

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The difficulty of managing today’s computing systems goes ell beyond the administration of individual software environments. The need to integrate several heterogeneous nvironments into corporate-wide computing systems, and to extend that beyond company boundaries into the Internet, introduces new levels of complexity. Relying solely on further innovations in programming methods will not get us through the present complexity crisis. The only option remaining is Autonomic Computing – computing systems that can manage themselves given high level objectives from administrators. The autonomic computing architecture provides a blue print for developing feedback control loops for self-managing systems. This observation suggests that control theory might provide guidance as to the structure of and requirements for autonomic managers.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: autonomic computing, feedback control system
Subjects: Engineering > MIT Manipal > Computer Science and Engineering
Engineering > MIT Manipal > Electrical and Electronics
Depositing User: MIT Library
Date Deposited: 02 Jun 2011 11:07
Last Modified: 02 Jun 2011 11:07

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