Measurements for Composable Performance Models of Cyber-Physical Network Components

该项目旨在为CPN提供一种基于测量的可组合模型。我们计划建立一个测量试验台，支持使用不同无线技术和协议栈的可重复测量来评估CPN基准应用程序。我们的方法是使用两轮倒立摆(TWIP)作为基准例子，其中Segway是一个众所周知的实例。该软件仿真可以在自动化测量系列中结合各种无线协议栈替代方案进行评估。我们使用可组合模型对协议栈进行详细分析，并使用测量结果对其进行参数化。网络演算提供了一个允许组合性能模型的框架。随机网络演算允许给出延迟的随机性能界。时态网络演算允许对容易出错的无线链路和基于竞争的多路访问网络对延迟的影响进行建模。研究了不同处理平台下软件栈执行对网络服务质量的影响。为了与优先项目“网络-物理联网”的其他项目有效协作，我们将公开在试验台上生成的测量数据。

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.