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RDDS: A Real-Time Data Distribution Service for Cyber-Physical Systems

机译：RDDS：用于网络物理系统的实时数据分发服务

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摘要

One of the primary requirements in many cyber-physical systems (CPS) is that the sensor data derived from the physical world should be disseminated in a timely and reliable manner to all interested collaborative entities. However, providing reliable and timely data dissemination services is especially challenging for CPS since they often operate in highly unpredictable environments. Existing network middleware has limitations in providing such services. In this paper, we present a novel publish/subscribe-based middleware architecture called Real-time Data Distribution Service (RDDS). In particular, we focus on two mechanisms of RDDS that enable timely and reliable sensor data dissemination under highly unpredictable CPS environments. First, we discuss the semantics-aware communication mechanism of RDDS that not only reduces the computation and communication overhead, but also enables the subscribers to access data in a timely and reliable manner when the network is slow or unstable. Further, we extend the semantics-aware communication mechanism to achieve robustness against unpredictable workloads by integrating a control-theoretic feedback controller at the publishers and a queueing-theoretic predictor at the subscribers. This integrated control loop provides Quality-of-Service (QoS) guarantees by dynamically adjusting the accuracy of the sensor models. We demonstrate the viability of the proposed approach by implementing a prototype of RDDS. The evaluation results show that, compared to baseline approaches, RDDS achieves highly efficient and reliable sensor data dissemination as well as robustness against unpredictable workloads.
机译：许多网络物理系统（CPS）的主要要求之一是，应将来自物理世界的传感器数据及时，可靠地分发给所有感兴趣的协作实体。但是，提供可靠，及时的数据分发服务对于CPS尤其具有挑战性，因为它们通常在高度不可预测的环境中运行。现有的网络中间件在提供此类服务方面存在局限性。在本文中，我们提出了一种新颖的基于发布/订阅的中间件架构，称为实时数据分发服务（RDDS）。特别是，我们专注于RDDS的两种机制，这些机制可在高度不可预测的CPS环境下实现及时可靠的传感器数据分发。首先，我们讨论了RDDS的语义感知通信机制，该机制不仅减少了计算和通信开销，而且使订户能够在网络缓慢或不稳定时以及时可靠的方式访问数据。此外，我们通过在发布者处集成控制理论反馈控制器和在订阅者处排队理论预测器，扩展了语义感知通信机制，以针对不可预测的工作负载实现鲁棒性。该集成控制回路通过动态调整传感器模型的准确性来提供服务质量（QoS）保证。我们通过实现RDDS原型演示了所提出方法的可行性。评估结果表明，与基线方法相比，RDDS可以实现高效，可靠的传感器数据分发，以及针对不可预测的工作负载的鲁棒性。

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