论文标题
在边缘计算市场中验证外包计算
Verifying Outsourced Computation in an Edge Computing Marketplace
论文作者
论文摘要
边缘计算市场可以使IoT设备（外包商）将计算外包给任何参与的节点（承包商）。作为回报，这些节点因提供计算资源而获得奖励。在这项工作中，我们提出了一项计划，该计划验证了任意确定性功能的完整性，并且对试图最大化预期收益的不诚实外包商和承包商具有抵抗力。我们使用用于对象检测的最先进的预训练的卷积神经网络模型测试了我们的验证方案。在所有设备上，我们的验证方案少于1MS计算开销，并且每个帧最多的84个字节的网络带宽开销可忽略不计。我们的实现还可以执行与对象检测平行的验证方案的任务，以消除任何延迟开销。与其他提议的验证方案相比，我们的计划拒绝了一套全面的违反协议，而无需牺牲绩效。
An edge computing marketplace could enable IoT devices (Outsourcers) to outsource computation to any participating node (Contractors) in their proximity. In return, these nodes receive a reward for providing computation resources. In this work, we propose a scheme that verifies the integrity of arbitrary deterministic functions and is resistant to both dishonest Outsourcers and Contractors who try to maximize their expected payoff. We tested our verification scheme with state-of-the-art pre-trained Convolutional Neural Network models designed for object detection. On all devices, our verification scheme causes less than 1ms computational overhead and a negligible network bandwidth overhead of at most 84 bytes per frame. Our implementation can also perform our verification scheme's tasks parallel to the object detection to eliminate any latency overhead. Compared to other proposed verification schemes, our scheme resists a comprehensive set of protocol violations without sacrificing performance.
