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Manuel Olguín is a doctoral student at the Division of Information Science and Engineering of the School of Electrical Engineering. His supervisor is professor James Gross, Ph.D, and his current research is focused on the integration of edge computing technologies into cyberphysical systems.
Experimental research on wireless networking in combination with edge and cloud computing has been the subject of explosive interest in the last decade. This development has been driven by the increasing complexity of modern wireless technologies and the extensive softwarization of these through projects such as a Open Radio Access Network (O-RAN)....
Wearable cognitive assistants (WCA) are anticipated to become a widely-used application class, in conjunction with emerging network infrastructures like 5G that incorporate edge computing capabilities. While prototypical studies of such applications exist today, the relationship between infrastructure service provisioning and its implication for WC...
Wearable Cognitive Assistants (WCA) are anticipated to become a widely-used application class, in conjunction with emerging network infrastructures like 5G that incorporate edge computing capabilities. While prototypical studies of such applications exist today, the relationship between infrastructure service provisioning and its implication for WC...
Slides for talk given at HotMobile19.
Many emerging mobile applications, including augmented reality (AR) and wearable cognitive assistance (WCA), aim to provide seamless user interaction. However, the complexity of benchmarking these human-in-the-loop applications limits reproducibility and makes performance evaluation difficult. In this paper, we present EdgeDroid, a benchmarking sui...
Extended abstract of an accepted demo/poster submission at ACM/IEEE SEC'18, demonstrating the implementation and operation of a benchmarking suite for Human-in-the-Loop applications.
The principal objective of this research is to establish frameworks for the evaluation of scaling limits of Huma-in-the-Loop Applications, such as wearable cognitive assistance applications, running on Edge Computing infrastructure. In terms of specific goals, this entails: - The elaboration of an experimental framework for direct evaluation of systems, which allows to accurately measure the scaling properties of these systems. - The elaboration of a model-driven framework for mathematical analysis of the scaling properties of the aforementioned systems.