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Energy-aware cooperative computation in mobile devices

机译：移动设备中的能量感知协作计算

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New data intensive applications, which are continuously emerging in daily routines of mobile devices, significantly increase the demand for data, and pose a challenge for current wireless networks due to scarce resources. Although bandwidth is traditionally considered as the primary scarce resource in wireless networks, the developments in communication theory shifts the focus from bandwidth to other scarce resources including processing power and energy. Especially, in device-to-device networks, where data rates are increasing rapidly, processing power and energy are becoming the primary bottlenecks of the network. Thus, it is crucial to develop new networking mechanisms by taking into account the processing power and energy as bottlenecks. In this paper, we develop an energy-aware cooperative computation framework for mobile devices. In this setup, a group of cooperative mobile devices, within proximity of each other, (i) use their cellular or Wi-Fi (802.11) links as their primary networking interfaces, and (ii) exploit their device-to-device connections (e.g., Wi-Fi Direct) to overcome processing power and energy bottlenecks. We evaluate our energy-aware cooperative computation framework on a testbed consisting of smartphones and tablets, and we show that it brings significant performance benefits.
机译：在移动设备的日常工作中不断涌现的新的数据密集型应用程序，大大增加了对数据的需求，并且由于资源不足而对当前的无线网络构成了挑战。尽管传统上将带宽视为无线网络中的主要稀缺资源，但是通信理论的发展将焦点从带宽转移到了其他稀缺资源上，包括处理能力和能源。特别是在设备间的网络中，数据速率正在迅速增加，处理能力和能量正成为网络的主要瓶颈。因此，考虑到处理能力和能耗成为瓶颈，开发新的联网机制至关重要。在本文中，我们开发了一种用于移动设备的能源感知协作计算框架。在此设置中，一组彼此之间接近的协作移动设备（i）使用其蜂窝或Wi-Fi（802.11）链接作为其主要的网络接口，并且（ii）利用其设备到设备的连接（例如Wi-Fi Direct）以克服处理能力和能源瓶颈。我们在由智能手机和平板电脑组成的测试平台上评估了能源意识的协作计算框架，并证明了它带来了显着的性能优势。

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