Felix Rath, Johannes Krude, Jan Rüth, Daniel Schemmel, Oliver Hohlfeld, Jó Ágila Bitsch, Klaus Wehrle
Proceedings of the 2017 SIGCOMM Posters and Demos (SIGCOMM Posters and Demos '17), August 2017. ACM. pp. 34–36.
The softwarization of networks provides a new degree of flexibility in network operation but its software components can result in unexpected runtime performance and erratic network behavior. This challenges the deployment of flexible software functions in performance critical (core) networks. To address this challenge, we present a methodology enabling the prediction of runtime performance and testing of functional behavior of Network Functions. Unlike traditional performance evaluation, e.g., testbed testing or simulation, our methodology can characterize the Network Function performance for any possible workload only by code analysis.
@inproceedings{2017_rath_sym-perf-predicting-network-function,
author = {Rath, Felix and Krude, Johannes and Rüth, Jan and Schemmel, Daniel and Hohlfeld, Oliver and Bitsch, Jó Ágila and Wehrle, Klaus},
title = {{SymPerf: Predicting Network Function Performance}},
booktitle = {{Proceedings of the SIGCOMM Posters and Demos}},
series = {{SIGCOMM Posters and Demos '17}},
year = {2017},
month = aug,
pages = {34--36},
numpages = {3},
location = {Los Angeles, CA, USA},
publisher = {{ACM}},
doi = {10.1145/3123878.3131977},
url = {https://krude.name/publications/2017_rath_sym-perf-predicting-network-function.pdf},
}