物联网的协同分析

Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing Pub Date : 2019-07-02 DOI:10.1145/3323679.3326631

Apostolos Galanopoulos, G. Iosifidis, T. Salonidis

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引用次数: 4

摘要

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。

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Cooperative Analytics for the Internet of Things

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.

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来源期刊

Proceedings of the Twentieth ACM International Symposium on Mobile Ad Hoc Networking and Computing

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