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Giving Users the Steering Wheel for Guiding Resource-Adaptive Systems
Technical report, CMU-CS-05-198, Carnegie Mellon University School of Computer Science, December 2005.
KeyWords:resource-aware systems,resource-adaptive applications,adaptation policies,engineering adaptive systems,modeling user preferences,ubiquitous computing,utility-based adaptation,task-oriented computing,user studies
Addressing resource variation plays an increasingly important role in engineering today"s 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.
Preferred citation: Giving Users the Steering Wheel for Guiding Resource-Adaptive Systems.
Joćo Pedro Sousa, Rajesh Balan, Vahe Poladian, David Garlan and Mahadev Satyanarayanan. Technical report, CMU-CS-05-198, Carnegie Mellon University School of Computer Science, December 2005.
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