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Towards Native Code Offloading Platforms for Image
Processing in Mobile Applications: A Case Study
Pontificia Universidad Católica de Chile
Engineering School
Computer Science Department
Guillermo Valenzuela1
, Andrés Neyem1
, José I. Benedetto1
, Jaime Navón1
, Pablo Sanabria1
Juan A. Karmy2
, Felipe Balbontin2
1
Pontificia Universidad Católica de Chile
2
Galerie App
Outline
● Introduction
● Proposed Solution
● Evaluation
● Conclusions & Future Work
Introduction
Galerie App
Proposed Solution: MobiCOP
Mobile Computation Offloading Platform1
1
Benedetto J., Neyem A., Navón J., Valenzuela G. Rethinking the Mobile Code Offloading Paradigm: From Concept to Practice
(2017).
Solution: Architecture Overview
Evaluation
Experiments
● Local execution in low-end device (Alcatel Pixi First)
● Local execution in high-end device (Samsung Galaxy S5)
● Offloaded execution (AWS c4.2xlarge instance running Genymotion)
● Monsoon Power Monitor
Results
Results
Conclusions
Summary
● MobiCOP used in a real-life image processing case study
○ Would allow up to 5.7x speedup
○ Would allow up to 85% of reduction in energy consumption
● Future Work
○ Focused on the Elastic Cloud Daemon to improve autonomic computing
Acknowledgements
Acknowledgements
This work was partially supported by a DCC-UC Research Grant, Graduate
School of Engineering UC, AWS Cloud Credits for Research, and the
CONICYT-PCHA/National PhD/2016 – Nº 21161015 Grant.
Contact Info
Guillermo Valenzuela
gevalenz@uc.cl

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