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Distributed Fog Computing Based on Batched Sparse Codes for Industrial Control

机译：基于批量稀疏代码的工业控制分布式雾计算

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摘要

In an industrial automation system, one of the most important parts is control loop. Fog computing is a potential solution for industrial control in time-critical applications as it provides distributed computing services closer to the connected devices. However, a huge amount of data exchanging among fog nodes causes high communication load, which constrains the overall response time from fog nodes to actuators. In this paper, we consider the erasure environment, batched sparse (BATS) codes are applied to the Map and the Data Shuffling stages of distributed fog computing process to reduce both the communication and the computation loads. The communication loads of the uncoded, the coded, and the proposed BATS-based schemes over erasure channels are calculated, respectively. Numerical results show that the BATS-based scheme can reduce the communication and the computation loads simultaneously, and furthermore reduce the overall response time from fog nodes to the actuators.
机译：在工业自动化系统中，最重要的部分之一是控制回路。雾计算是对时间紧迫的应用程序进行工业控制的潜在解决方案，因为它提供了更靠近所连接设备的分布式计算服务。但是，雾节点之间的大量数据交换导致较高的通信负载，这限制了从雾节点到执行器的总体响应时间。在本文中，我们考虑了擦除环境，将批处理稀疏（BATS）代码应用于分布式雾计算过程的Map和Data Shuffling阶段，以减少通信量和计算量。分别计算了擦除信道上未编码，已编码和建议的基于BATS的方案的通信负载。数值结果表明，基于BATS的方案可以同时减少通信量和计算量，并进一步减少了从雾节点到执行器的总响应时间。

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