通过将任务从资源匮乏的移动设备卸载到资源丰富的云，计算卸载已成为一种扩展移动设备功能的有效方法。 在本文中，我们研究了在具有多个移动设备用户的情况下无线计算分流的能量和时间优化问题。 首先，针对以能量最小化为目标的情况，我们将多个移动设备用户之间的计算卸载决策问题公式化为具有随机访问权限的计算卸载游戏。 我们分析了游戏的结构特性，然后设计了一种算法，通过利用其有限的改进特性来实现纳什均衡。 其次，对于以时间最小化为目标的情况，我们导出了要为每个移动用户分担的任务的最佳部分。 数值结果验证了我们的理论分析。
2021-02-25 09:09:27
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Introduction to Parallel Computing 2nd PDF 英文版
2021-02-23 15:56:11
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Combining background information and a top-down model for computing salient objects
2021-02-22 14:05:51
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Computing object-based saliency via locality-constrained linear coding and conditional random fields
Computing object-based saliency via locality-constrained linear coding and conditional random fields
2021-02-22 14:05:51
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Workflow Execution Plan Generation in the Cloud Computing Environment based on an Improved List Scheduling Algorithm
2021-02-22 09:07:58
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We present a simple approach based on photonic reservoir computing (P-RC) for modulation format identification (MFI) in optical fiber communications. Here an optically injected semiconductor laser with self-delay feedback is trained with the representative features from the asynchronous amplitude histograms of modulation signals. Numerical simulations are conducted for three widely used modulation formats (on–off keying, differential phase-shift keying, and quadrature amplitude modulation) for v
2021-02-21 19:09:56
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