A Model-Based Framework for Adaptive Resource Management in Mobile Augmented Reality System
نویسندگان
چکیده
A 3-level modeling framework to adaptive resource management in mobile augmented reality systems (MARS) is proposed, which is based on comprehensive data structuring and analyzing of their specific hardand software features. At the conceptual modeling level an ontological specification of MARS resources is constructed, at the logical modeling level a case-based reasoning algorithm is elaborated, and as a physical model the reference software architecture is designed. This approach was successfully tested to solve the task to adaptive management of image resolution on mobile device (MD) according to changes of computational loading that finally enabled better video stream quality in MARS.
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