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IntelligentProbing is based on the Knowledge-Defined Networking (KDN) \cite{mestres_2017:KDN} paradigm that allows to apply Machine Learning (ML) techniques in SDN. We argue that an ML-based optimization of probing frequency can keep monitoring overhead within a target value while minimizing performance degradation and providing high monitoring accuracy.

Python 50.57% Shell 0.09% HTML 41.18% TeX 8.02% Logos 0.02% Roff 0.12%

intelligentprobing's Introduction

Intelligent Probing - IPro

IPro is based on the Knowledge-Defined Networking (KDN) \cite{mestres_2017:KDN} paradigm that allows to apply Machine Learning (ML) techniques in SDN. We argue that an ML-based optimization of probing frequency can keep monitoring overhead within a target value while minimizing performance degradation and providing high monitoring accuracy.

intelligentprobing's People

Contributors

efcastillo7 avatar efcastillo10 avatar

Stargazers

 avatar Bastien Veuthey avatar  avatar  avatar  avatar  avatar Liupengcheng142 avatar  avatar huoliuwei avatar

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intelligentprobing's Issues

Requesting further documentation to run this project

Able to run the files independently. Please provide detailed documentation to run this project. I'm able to run the files independently, but I'm not sure how to check the stats. eg :

management_plane/measure.py - Stuck at filling tables. Maybe this needs some additional scripts to be running ?

knowledge_plane/building_env.py - This prints out total_reward -> ... but what is the significance of this ?

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