Enhanced Mobile Computing Experience with Cloud Offloading

TL;DR

This paper introduces Jade, a system that enhances mobile computing by intelligently offloading tasks to reduce energy consumption and improve performance on Android devices.

Contribution

Jade adds energy-aware computation offloading to Android, dynamically adapting to workload and network conditions, simplifying developer effort.

Findings

Reduces up to 39% of power consumption

Improves application performance

Adapts to workload and network variations

Abstract

The need for increased performance of mobile device directly conflicts with the desire for longer battery life. Offloading compu-tation 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.