Measurements for Composable Performance Models of Cyber-Physical Network Components

信息物理网络组件可组合性能模型的测量

• 批准号: 315036028
• 负责人: Professor Dr.-Ing. Georg Carle
• 金额: --
• 依托单位: Lehrstuhl für Netzarchitekturen und Netzdienste
• 依托单位国家: 德国
• 项目类别: Priority Programmes
• 财政年份: 2016
• 资助国家: 德国
• 起止时间: 2015-12-31 至 2020-12-31
• 项目状态: 已结题
• 来源: https://gepris.dfg.de/gepris/projekt/315036028?language=en
• 关键词: Measurements; Composable; Performance; Models; Cyber

This project aims for a measurement-based approach towards composable models for CPNs. We plan to set up a measurement testbed, that supports the evaluation of a CPN benchmark application using reproducible measurements of different wireless technologies and protocol stacks. Our approach is to use a two-wheeled inverted pendulum (TWIP), of which a Segway is a well-known instantiation, as benchmark example. This software emulation can be evaluated in combination with a variety of wireless protocol stack alternatives in an automated measurement series.We analyze the protocol stack in detail, using composable models that we parameterize using the measurement results. Network calculus provides a framework that allows for combining performance models. Stochastic Network Calculus allows to give stochastic performance bounds on delays. Temporal network calculus allows to model the impact of error-prone wireless links and contention-based multi-access networks on latency. We investigate the influence of the software stack execution on the network service quality by different processing platforms. For effective collaboration with other projects of the Priority Program "Cyber-Physical Networking", we will make the measurement data generated in the testbed publicly available.

该项目旨在采用基于测量的CPN模型的方法。我们计划建立一个测量测试台，该测试台支持使用不同无线技术和协议堆栈的可重复测量的CPN基准应用评估。我们的方法是使用两轮倒置的摆（twip），其中Segway是一个众所周知的实例化，如基准示例。可以在自动测量系列中与各种无线协议堆栈替代方案相结合评估该软件的仿真。我们使用可使用测量结果参数化的可组合模型来详细分析协议堆栈。网络演算提供了一个允许结合性能模型的框架。随机网络演算允许在延迟时给出随机性能界限。时间网络计算允许建模易用错误的无线链接和基于竞争的多访问网络对延迟的影响。我们通过不同的处理平台研究了软件堆栈执行对网络服务质量的影响。为了有效与优先计划的其他项目“网络物理网络”合作，我们将公开可用测试床中生成的测量数据。