CMU-CS-05-198
Computer Science Department
School of Computer Science, Carnegie Mellon University



CMU-CS-05-198

Giving Users the Steering Wheel for
Guiding Resource-Adaptive Systems

João P. Sousa, Rajesh K. Balan, Vahe Poladian
David Garlan, Mahadev Satyanarayanan

December 2005

CMU-CS-05-198.ps
CMU-CS-05-198.pdf


Keywords: Resource-aware systems, resource-adaptive applications, engineering adaptive systems, utility-based adaptation, adaptation policies, modeling user preferences, task-oriented computing, user studies, ubiquitous computing


Addressing resource variation plays an increasingly important role in engineering todays software systems. Research in resource-adaptive applications takes an important step towards addressing this problem. However, existing solutions stop short of addressing the fact that different user tasks often have specific goals of quality of service, and that such goals often entail multiple aspects of quality of service.

This paper presents a framework for engineering software systems capable of adapting to resource variations in ways that are specific to the quality goals of each user task. For that, users are empowered to specify their task-specific preferences with respect to multiple aspects of quality of service. Such preferences are then exploited to both coordinate resource usage across the applications supporting the task, and to dynamically control the resource adaptation polices of those applications. A user study validates that non-expert users can use our framework to successfully control the behavior of such adaptive systems.

21 pages


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