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2003
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Predictive Resource Management for Wearable Computing

9 years 3 months ago
Predictive Resource Management for Wearable Computing
Achieving crisp interactive response in resource-intensive applications such as augmented reality, language translation, and speech recognition is a major challenge on resource-poor wearable hardware. In this paper we describe a solution based on multi-fidelity computation supported by predictive resource management. We show that such an approach can substantially reduce both the mean and the variance of response time. On a benchmark representative of augmented reality, we demonstrate a 60% reduction in mean latency and a 30% reduction in the coefficient of variation. We also show that a history-based approach to demand prediction is the key to this performance improvement.
Dushyanth Narayanan, Mahadev Satyanarayanan
Added 24 Dec 2009
Updated 24 Dec 2009
Type Conference
Year 2003
Where MOBISYS
Authors Dushyanth Narayanan, Mahadev Satyanarayanan
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