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Handling Uncertainty in Autonomic Systems

By Shang-Wen Cheng and David Garlan

Abstract

Autonomic, or self-adaptive, systems are increasingly important. One of the most prevalent techniques is to adopt a control systems view of the solution: adding a runtime, separate control unit that monitors and adapts the system under consideration. A problem with this paradigm for system engineering is that the control and the system are loosely coupled, introducing a variety of sources of uncertainty. In this paper we describe three specific sources of uncertainty, and briefly explain how we address those in the Rainbow Project

Topics: D.2.m [Software Engineering, Miscellaneous – architecturebased self-adaptive system, autonomic computing. General Terms Management, Design, Languages Keywords Rainbow, self-adaptation, Stitch, strategy, tactic, uncertainty
Year: 2007
OAI identifier: oai:CiteSeerX.psu:10.1.1.135.745
Provided by: CiteSeerX
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