SymPerf: Predicting Network Function Performance

Abstract

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.

Publication
SIGCOMM Posters and Demos (SIGCOMM Poster 2017)
2017 SIGCOMM Poster
Research Assistant

I research how to best ensure that software works as it should. My specific focus is on the applicability of Symbolic Execution to real world software.

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