"Towards Native Code Offloading Platforms for Image Processing in Mobile Applications: A Case Study" by Guillermo Valenzuela, Andres Neyem, Jose I. Benedetto, Jaime Navon, Pablo Sanabria, Juan A. Karmy and Felipe Balbontin MobileSoft'17, Buenos Aires, Argentina, 2017

1. 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

2. Outline
● Introduction
● Proposed Solution
● Evaluation
● Conclusions & Future Work

3. Introduction

4. Galerie App

5. 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).

6. Solution: Architecture Overview

7. Evaluation

8. 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

9. Results

10. Results

11. Conclusions

12. 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

13. Acknowledgements

14. 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.

15. Contact Info
Guillermo Valenzuela
gevalenz@uc.cl