Architecture-based Self-adaptation in the Presence of Mutliple Objectives

Shang-Wen Cheng, David Garlan, and Bradley Schmerl

Proceedings of the ICSE 2006 Workshop on Software Engineering for Adaptive and Self-Managing Systems (SEAMS), Shanghai, China, May 21-22, 2006, .

Online links: PDF

In the world of autonomic computing, the ultimate aim is to automate human tasks in system management to achieve high-level stakeholder objectives. One common approach is to capture and represent human expertise in a form executable by a computer. Techniques to capture such expertise in programs, scripts, or rule sets are effective to an extent. However, they are often incapable of expressing the necessary adaptation expertise and emulating the subtleties of trade-offs in high-level decision making. In this paper, we propose a new language of adaptation that is suffi-ciently expressive to capture the subtleties of choice, deriving its ontology from system administration tasks and its underlying formalism from utility theory.

For further information, please visit the home pages of the ABLE research project and Carnegie Mellon University's Composable Systems Group.

Last modified: 8/16/2006. For comments and problems, contact