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Automated application offloading through ant-inspired decision-making

机译:通过受蚂蚁启发的决策自动卸载应用程序

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摘要

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.
机译:近年来,智能手机成为人类生活中最有效,最便捷的通信工具的爆炸性趋势使开发人员构建更加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程序需要大量的计算能力和精力。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-频繁断开连接,移动性-并且存在明显的局限性-尺寸,重量轻,电池寿命长,难以充分发挥其潜力来运行复杂的应用程序。几项研究工作提出了应用程序卸载领域的解决方案,但很少有关于环境的日新月异的解决方案。为了解决这些问题,我们实现了具有动态且可自适应调整的决策引擎的自动应用程序卸载中间件ACOMMA。 ACOMMA的决策引擎基于蚂蚁启发算法。

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