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首页> 外文期刊>IEEE/ACM Transactions on Networking >Robust and Cost-Effective Design of Cyber-Physical Systems: An Optimal Middleware Deployment Approach
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Robust and Cost-Effective Design of Cyber-Physical Systems: An Optimal Middleware Deployment Approach

机译:网络物理系统的鲁棒且具有成本效益的设计:最佳中间件部署方法

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摘要

Cyber-Physical Systems (CPS) are emerging as the underpinning technology for major industries in this century. Wide-area monitoring and control is an essential ingredient of CPS to ensure reliability and security. Traditionally, a hierarchical system has been used to monitor and control remote devices deployed in a large geographical region. However, a general consensus is that such a hierarchical system can be highly vulnerable to component (i.e., nodes and links) failures, calling for a robust and cost-effective communication system for CPS. To this end, we consider a middleware approach to leverage the existing commercial communication infrastructure (e.g., Internet and cellular networks) with abundant connectivity. In this approach, a natural question is how to use the middleware to cohesively “glue” the physical system and the commercial communication infrastructure together, in order to enhance robustness and cost-effectiveness. We tackle this problem while taking into consideration two different cases of middleware deployment: single-stage and multi-stage deployments. We design offline and online algorithms for these two cases, respectively. We show that the offline algorithm achieves the best possible approximation ratio while the online algorithm attains the order-optimal competitive ratio. We also demonstrate the performance of our proposed algorithms through simulations.
机译:网络物理系统(CPS)逐渐成为本世纪主要行业的基础技术。广域监视和控制是CPS的重要组成部分,以确保可靠性和安全性。传统上,分层系统已用于监视和控制部署在较大地理区域中的远程设备。但是,普遍的共识是,这种分层系统很容易受到组件(即节点和链路)故障的影响,这就需要用于CPS的健壮且成本有效的通信系统。为此,我们考虑一种中间件方法,以利用具有丰富连接性的现有商业通信基础架构(例如Internet和蜂窝网络)。在这种方法中,一个自然的问题是如何使用中间件将物理系统和商业通信基础架构紧密地“胶合”在一起,以增强鲁棒性和成本效益。我们在考虑中间件部署的两种不同情况的同时解决了这个问题:单阶段和多阶段部署。我们分别针对这两种情况设计离线和在线算法。我们证明了离线算法达到了最佳的近似比率,而在线算法达到了订单最优竞争比率。我们还通过仿真演示了我们提出的算法的性能。

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