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Spontaneous Proximity Clouds: Making Mobile Devices to Collaborate for Resource and Data Sharing

机译:自发的邻近云:使移动设备协作   资源和数据共享

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摘要

The base motivation of Mobile Cloud Computing was empowering mobile devicesby application offloading onto powerful cloud resources. However, this goalcan't entirely be reached because of the high offloading cost imposed by thelong physical distance between the mobile device and the cloud. To address thisissue, we propose an application offloading onto a nearby mobile cloud composedof the mobile devices in the vicinity-a Spontaneous Proximity Cloud. Weintroduce our proposed dynamic, ant-inspired, bi-objective offloadingmiddleware-ACOMMA, and explain its extension to perform a close mobileapplication offloading. With the learning-based offloading decision-makingprocess of ACOMMA, combined to the collaborative resource sharing, the mobiledevices can cooperate for decision cache sharing. We evaluate the performanceof ACOMMA in collaborative mode with real benchmarks Face Recognition andMonte-Carlo algorithms-and achieve 50% execution time gain.
机译:移动云计算的基本动机是通过将应用程序卸载到强大的云资源上来赋权移动设备。但是,由于移动设备与云之间的长距离物理距离造成了高昂的卸载成本,因此无法完全实现此目标。为了解决这个问题,我们建议将应用程序卸载到由附近的移动设备组成的附近移动云上,即自发邻近云。我们介绍了我们提出的动态,受蚂蚁启发的,双目标卸载中间件-ACOMMA,并解释了其扩展以执行紧密的移动应用程序卸载。通过将ACOMMA的基于学习的卸载决策过程与协作资源共享相结合,移动设备可以协作进行决策缓存共享。我们使用真实的基准人脸识别和蒙特卡洛算法在协作模式下评估ACOMMA的性能,并获得50%的执行时间增益。

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