通过反激励决策自动卸载应用程序

Roya Golchay, Frédéric Le Mouël, Julien Ponge, N. Stouls
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引用次数: 3

摘要

近年来,智能手机作为人类生活中最有效、最方便的通信工具,其使用呈爆炸式增长趋势,这使得开发人员开发出越来越复杂的智能手机应用程序。游戏、导航、视频编辑、增强现实和语音识别应用需要相当大的计算能力和能量。尽管智能手机具有广泛的功能——GPS、WiFi、摄像头——但它们固有的局限性——频繁断开、移动性——以及显著的限制——尺寸、重量更轻、电池寿命更长,使得它们难以充分发挥其运行复杂应用程序的潜力。一些研究工作已经提出了应用卸载领域的解决方案,但很少有研究涉及到环境的高度变化特性。为了解决这些问题,我们实现了一个自动化的应用卸载中间件ACOMMA,它具有动态和可重新适应的决策引擎。ACOMMA的决策引擎基于一种蚁群算法。
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Automated application offloading through ant-inspired decision-making
The explosive trend of smartphone usage as the most effective and convenient communication tools of human life in recent years make developers build ever more complex smartphone applications. Gaming, navigation, video editing, augmented reality, and speech recognition applications require considerable computational power and energy. Although smartphones have a wide range of capabilities - GPS, WiFi, cameras their inherent limitations - frequent disconnections, mobility - and significant constraints - size, lower weights, longer battery life make difficult to exploiting their full potential to run complex applications. Several research works have proposed solutions in application offloading domain, but few ones concerning the highly changing properties of the environment. To address these issues, we realize an automated application offloading middleware, ACOMMA, with dynamic and re-adaptable decision-making engine. The decision engine of ACOMMA is based on an ant-inspired algorithm.
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