A Weighted Voting Mechanism for Action Selection Problem in Self-Adaptive Software

Authors:
Mazeiar Salehie;Ladan Tahvildari
Affiliations:
University of Waterloo,ON, Canada;University of Waterloo,ON, Canada
Venue:
SASO '07 Proceedings of the First International Conference on Self-Adaptive and Self-Organizing Systems
Year:
2007

Citing 0
Cited 2

Self-adaptive software: Landscape and research challenges

ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Towards a goal-driven approach to action selection in self-adaptive software

Software—Practice & Experience

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Abstract

Self-adaptive software is a closed-loop system which aims at adjusting itself in response to changes at runtime. Such a system is required to monitor domain events, detect significant changes, decide how to react, and act in order to execute the decisions. This paper focuses on the deciding process particularly for application-level adaptation actions. For this purpose, a weighted voting mechanism has been proposed which makes decisions based on a Goal-Action- Attribute Model (GAAM). The decision-making algorithm traverses GAAM, determines activated goals and feasible actions for voting, and ultimately selects an action as the social choice. The proposed mechanism and GAAM are evaluated within a simulated model of a news web site.