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A cloud-supported cps approach to control decision of process manufacturing: 3D ONoC

机译:云支持的cps方法来控制流程制造决策:3D ONoC

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摘要

The Cyber-Physical System (CPS) concept is now attracting attention in systems engineering, and it is being applied to a fully automated factory control in processes such as semiconductor fabrication. In this paper, we propose a novel control decision structure for process manufacturing, designated as the 3D Optical Network-on-Chip (ONoC) multi-core system, based on the cloud-supported CPS concept. We first construct a task graph - which includes interconnected Virtual Machines (VMs)-to represent the interaction between industrial-physical processes and cyber states. Given the task graph, the control decision process becomes into the problem of the on-chip VM placement. We then design a highly reliable on-chip VM placement scheduling to find the optimal control strategy while guaranteeing the reliability of the 3D ONoC structure. The simulation results demonstrate that our scheme achieves a higher reliability of the 3D ONoC structure when we make the control decision for process manufacturing.
机译:网络物理系统(CPS)概念现在在系统工程中引起了人们的注意,并已应用于半导体制造等过程中的全自动工厂控制。在本文中,我们基于云支持的CPS概念,提出了一种新颖的过程制造控制决策结构,称为3D片上光网络(ONoC)多核系统。我们首先构造一个任务图-包括互连的虚拟机(VM)-代表工业物理过程与网络状态之间的交互。给定任务图,控制决策过程将成为片上VM放置的问题。然后,我们设计了高度可靠的片上VM放置计划,以在确保3D ONoC结构的可靠性的同时找到最佳控制策略。仿真结果表明,当我们为过程制造做出控制决策时,我们的方案实现了3D ONoC结构的更高可靠性。

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