MOONSHINE

Measurements for Composable Performance Models of Cyber-Physical Network Components

Description

This project aims for a measurement-based approach towards composable models for CPNs. We 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 share measurement data generated in the testbed.

Related publications

2016.09 Sebastian Gallenmüller, Maurice Leclaire, Stephan Günther, Georg Carle, “MOONSHINE – Measurements for Composable Performance Models of Cyber-Physical Network Components,” in International Symposium on Networked Cyber-Physical Systems (NET-CPS 2016), Garching, Germany, Sep. 2016. [Poster] [Bib]