Recently, the industrial Internet of Things (IoT) has quickly become a disruptive force reshaping how we live and work. Compared to the consumer Internet, the industrial IoT puts forward much higher performance requirements in terms of network and computing capacity. The industrial IoT system needs to process tons of data generated by millions of IoT sensors in real-time. Recently, with the advent of programmable network devices (e.g., SmartNIC, programmable switch), the in-network computing (INC) paradigm has received a large amount of attention. INC refers to offload application-specific tasks from end-host to network devices. Benefiting from the line-rate processing capacity of network devices, the INC paradigm presents superior performance in terms of high-throughput low-latency computing. Therefore, INC is considered a promising technique to meet performance requirements in the industrial IoT. However, while network devices are capable of performing application-specific tasks, they are still far from the universal computing platform. In this article, we propose an INC powered mobile edge architecture, where we offload lightweight critical tasks to the INC devices and leave the rest to the MEC. To identify critical tasks, we introduce the complex event processing (CEP) tool in our architecture. Also, we present two industrial IoT use cases to evaluate the feasibility of our architecture.

中文翻译：

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网络内计算驱动的移动边缘：迈向高性能工业物联网


最近，工业物联网 (IoT) 迅速成为重塑我们生活和工作方式的颠覆性力量。相比消费互联网，工业物联网对网络和计算能力提出了更高的性能要求。工业物联网系统需要实时处理数百万个物联网传感器生成的大量数据。最近，随着可编程网络设备（例如SmartNIC、可编程交换机）的出现，网络内计算（INC）范例受到了广泛的关注。 INC 是指将特定于应用程序的任务从终端主机卸载到网络设备。受益于网络设备的线速处理能力，INC范式在高吞吐量低延迟计算方面呈现出优越的性能。因此，INC 被认为是满足工业物联网性能要求的一种有前途的技术。然而，虽然网络设备能够执行特定于应用程序的任务，但它们距离通用计算平台还很远。在本文中，我们提出了一种由 INC 驱动的移动边缘架构，其中我们将轻量级关键任务卸载给 INC 设备，并将其余任务留给 MEC。为了识别关键任务，我们在架构中引入了复杂事件处理（CEP）工具。此外，我们还提出了两个工业物联网用例来评估我们架构的可行性。