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SymPerf: Predicting Network Function Performance

Rath, Felix and Krude, Johannes and Rüth, Jan and Schemmel, Daniel and Hohlfeld, Oliver and Bitsch, Jo Agila and Wehrle, Klaus (2017):
SymPerf: Predicting Network Function Performance.
In: ACM SIGCOMM Poster, DOI: 10.1145/3123878.3131977,
[Online-Edition: https://www.comsys.rwth-aachen.de/fileadmin/papers/2017/2017...],
[Conference or Workshop Item]

Abstract

The softwarization of networks provides a new degree of flexibil- ity in network operation but its software components can result in unexpected runtime performance and erratic network behav- ior. 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 Func- tion performance for any possible workload only by code analysis.

Item Type: Conference or Workshop Item
Erschienen: 2017
Creators: Rath, Felix and Krude, Johannes and Rüth, Jan and Schemmel, Daniel and Hohlfeld, Oliver and Bitsch, Jo Agila and Wehrle, Klaus
Title: SymPerf: Predicting Network Function Performance
Language: English
Abstract:

The softwarization of networks provides a new degree of flexibil- ity in network operation but its software components can result in unexpected runtime performance and erratic network behav- ior. 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 Func- tion performance for any possible workload only by code analysis.

Divisions: DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > A: Construction Methodology > Subproject A2: Design
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > A: Construction Methodology
DFG-Collaborative Research Centres (incl. Transregio)
Event Title: ACM SIGCOMM Poster
Date Deposited: 15 Mar 2018 13:29
DOI: 10.1145/3123878.3131977
Official URL: https://www.comsys.rwth-aachen.de/fileadmin/papers/2017/2017...
Additional Information:

Acceptance rate 36% (51/142)

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