Extending Mobile Device's Battery Life by Offloading Computation to Cloud

Hao Qian, Daniel Andresen
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引用次数: 46

Abstract

The need for increased performance of mobile device directly conflicts with the desire for longer battery life. Offloading computation to resourceful servers 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 applications. 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 device status.
通过将计算转移到云端来延长移动设备的电池寿命
提高移动设备性能的需求与延长电池寿命的愿望直接冲突。对于移动应用来说,将计算任务转移到资源丰富的服务器上是降低能耗和提高性能的有效方法。Android提供了创建移动应用程序的机制,但缺乏一个本地调度系统来决定代码应该在哪里执行。本文介绍了Jade,一个为Android应用程序增加复杂的能量感知计算卸载功能的系统。Jade监视设备和应用程序状态,并自动决定应该在哪里执行代码。Jade通过适应工作负载变化、通信成本和设备状态来动态调整卸载策略。
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