Manuel Olguín Muñoz

Manuel Olguín Muñoz
KTH Royal Institute of Technology | KTH · Information Science and Engineering

PhD Electrical Engineering (student)

About

8
Publications
614
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
21
Citations
Introduction
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.
Additional affiliations
January 2018 - May 2018
KTH Royal Institute of Technology
Position
  • Teaching Assistant - Discrete-time Signals and Systems
Description
  • T.A. for professor Joakim Jaldén.
March 2015 - July 2016
University of Chile
Position
  • Teaching Assistant - Algorithms and Data Structures
Description
  • T.A. for professor Jérémy Barbay.
Education
March 2011 - August 2017
University of Chile
Field of study
  • Ingeniería Civil en Ciencias de la Computación

Publications

Publications (8)
Preprint
Full-text available
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)....
Article
Full-text available
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...
Preprint
Full-text available
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...
Conference Paper
Full-text available
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...
Preprint
Full-text available
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.

Network

Cited By

Projects

Project (1)
Project
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.