Cooperative Analytics for the Internet of Things

Apostolos Galanopoulos, G. Iosifidis, T. Salonidis
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引用次数: 4

Abstract

We study the problem of cooperative execution of IoT data analytics at the edge nodes. We propose an auction mechanism that allows the nodes to trade their tasks in a way that optimizes execution accuracy and delay, without requiring information about the nodes' accuracy/delay priorities, and yields the optimal task outsourcing policy. Testbed-driven evaluation shows gains in both accuracy and delay compared to heuristic/greedy policies.
物联网的协同分析
研究了在边缘节点上协同执行物联网数据分析的问题。我们提出了一种拍卖机制,该机制允许节点以优化执行精度和延迟的方式交易其任务,而不需要关于节点的准确性/延迟优先级的信息,并产生最佳任务外包策略。与启发式/贪婪策略相比,测试平台驱动的评估在准确性和延迟方面都有所提高。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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