Towards Edge-enabled Distributed Computing Framework for Heterogeneous Android-based Devices

Abstract

In this paper, we propose an Android-based distributed computing framework for accelerating DNN inference on Android edge devices. We experimentally demonstrate that the proposed distributed framework can reduce CPU utilization by 24 % (making the the CPU utilization close to that of idle status), reduce power consumption by 59.8 % to 71.8 %, without leading to high-bandwidth througput. The proposed framework can be applied to various Android devices to enable cooperation among edge devices in a distributed computing manner, accelerate DNN inference, and enrich the functionality of Android devices to enhance user experience.