Demonstration of Dynamic Distributed Orchestration of Node-RED IoT Workflows Using a Vector Symbolic Architecture

Richard J. Tomsett, G. Bent, Christopher Simpkin, I. Taylor, Daniel Harborne, A. Preece, R. Ganti
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引用次数: 5

Abstract

Traditional service-based applications, in fixed networks, are typically constructed and managed centrally and assume stable service endpoints and adequate network connectivity. Constructing and maintaining such applications in dynamic heterogeneous wireless networked environments, where limited bandwidth and transient connectivity are commonplace, presents significant challenges and makes centralized application construction and management impossible. In this demonstration we present an architecture which is capable of providing an adaptable and resilient method for on-demand decentralized construction and management of complex time-critical applications in such environments. The approach uses a Vector Symbolic Architecture (VSA) to compactly represent an application as a single semantic vector that encodes the service interfaces, workflow, and the time-critical constraints required. By extending existing services interfaces, with a simple cognitive layer that can interpret and exchange the vectors, we show how the required services can be dynamically discovered and interconnected in a completely decentralized manner. There are a large number of workflow systems designed to work in various scientific domains, including support for the Internet of Things (IoT). One such workflow system is Node-RED, which is designed to bring workflow-based programming to IoT. The main focus of this demonstration is to show how we can migrate Node-RED workflows into a decentralized execution environment, so that such workflows can run on Edge networks.
使用矢量符号架构的Node-RED物联网工作流的动态分布式编排演示
在固定网络中,传统的基于服务的应用程序通常集中构建和管理,并假定稳定的服务端点和足够的网络连接。在动态异构无线网络环境中构建和维护这样的应用程序,在这种环境中,有限的带宽和短暂的连接是司空见惯的,这给应用程序的集中构建和管理带来了巨大的挑战。在本演示中,我们提出了一种架构,该架构能够为这种环境中复杂的时间关键型应用程序的按需分散构建和管理提供适应性强且有弹性的方法。该方法使用向量符号体系结构(Vector Symbolic Architecture, VSA)紧凑地将应用程序表示为单个语义向量,该语义向量对服务接口、工作流和所需的时间关键约束进行编码。通过使用一个可以解释和交换向量的简单认知层扩展现有的服务接口,我们展示了如何以完全分散的方式动态发现和互连所需的服务。有大量的工作流系统被设计用于各种科学领域,包括对物联网(IoT)的支持。Node-RED就是这样一个工作流系统,它旨在将基于工作流的编程引入物联网。本演示的主要重点是展示我们如何将Node-RED工作流迁移到分散的执行环境中,以便这些工作流可以在边缘网络上运行。
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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