The University of Arizona
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User-Behavior-Based Prediction

User interaction provides valuable contextual hints that can be used to determine I/O access patterns in applications. Correlating user interaction, such as mouse clicks, with an application's execution context allows for context-aware power management (CPM), resulting in significant improvements over previous power management schemes. Recent work has shown the potential of mouse clicks for adapting the power mode of the wireless network interface to reflect user interaction, optimizing both the energy and bandwidth usage of the wireless network interface. Continuing work includes the application of machine learning to more complex interaction patterns and the uses of interaction-based power management in the broader context of resource allocation and management.