Jade: Reducing Energy Consumption of Android App

DOI

10.2991/ijndc.2015.3.3.2How to use a DOI?

Keywords

code offload; energy management; distributed computing; scheduling; mobile computing

Abstract

The need for increased performance of mobile device directly conflicts with the desire for longer battery life. Offloading computation to multiple devices is an effective method to reduce energy consumption and enhance performance for mobile applications. Android provides mechanisms for creating mobile applications but lacks a native scheduling system for determining where code should be executed. This paper presents Jade, a system that adds sophisticated energy-aware computation offloading capabilities to Android apps. Jade monitors device and application status and automatically decides where code should be executed. Jade dynamically adjusts offloading strategy by adapting to workload variation, communication costs, and energy status in a distributed network of Android and non-Android devices. Jade minimizes the burden on developers to build applications with computation offloading ability by providing easy-to-use Jade API. Evaluation shows that Jade can effectively reduce up to 39% of average power consumption for mobile application while improving application performance.

Copyright

© 2017, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - JOUR
AU  - Hao Qian
AU  - Daniel Andresen
PY  - 2015
DA  - 2015/08/01
TI  - Jade: Reducing Energy Consumption of Android App
JO  - International Journal of Networked and Distributed Computing
SP  - 150
EP  - 158
VL  - 3
IS  - 3
SN  - 2211-7946
UR  - https://doi.org/10.2991/ijndc.2015.3.3.2
DO  - 10.2991/ijndc.2015.3.3.2
ID  - Qian2015
ER  -