论文标题
作为工业互联网的分布式自适应服务的汇总过程
Aggregate Processes as Distributed Adaptive Services for the Industrial Internet of Things
论文作者
论文摘要
工业互联网（IIOT）有望带来许多好处，包括提高生产率，降低成本以及对新一代制造工厂的安全性提高。 IIOT的主要成分是连接的，连接的设备，直接位于车间地板（远端设备）中，以及将此类设备连接到Internet，尤其是云服务器的边缘网关。边缘计算倡导者的领域使计算尽可能接近数据源可能是减少延迟，保留隐私和提高系统的整体效率的有效手段，尽管（远）和云节点合作的建筑系统是挑战性的。在目前的工作中，我们建议采用聚合编程（AP）范式（尤其是“总过程”构建体），以简化IIOT体系结构远处的分布式智能服务的一种方式。我们通过在FCPP（AP的C ++库）上进行了模拟实验，并在物理IIT板上进行了一些基本的实验，证明了该方法的可行性和功效。
The Industrial Internet of Things (IIoT) promises to bring many benefits, including increased productivity, reduced costs, and increased safety to new generation manufacturing plants. The main ingredients of IIoT are the connected, communicating devices directly located in the workshop floor (far edge devices), as well as edge gateways that connect such devices to the Internet and, in particular, to cloud servers. The field of Edge Computing advocates that keeping computations as close as possible to the sources of data can be an effective means of reducing latency, preserving privacy, and improve the overall efficiency of the system, although building systems where (far) edge and cloud nodes cooperate is quite challenging. In the present work we propose the adoption of the Aggregate Programming (AP) paradigm (and, in particular, the "aggregate process" construct) as a way to simplify building distributed, intelligent services at the far edge of an IIoT architecture. We demonstrate the feasibility and efficacy of the approach with simulated experiments on FCPP (a C++ library for AP), and with some basic experiments on physical IIoT boards running an ad-hoc porting of FCPP.
