most citedA QoT Estimation Method using EGN-assisted Machine Learning for Network Planning Applications

12 citations · 12 across the 1 of their papers we have counts for

collaborators

10 papers

cs.SE20241 cited

Bug Analysis Towards Bug Resolution Time Prediction

Hasan Yagiz Ozkan, Poul Einer Heegaard, Wolfgang Kellerer +1

Bugs are inevitable in software development, and their reporting in open repositories can enhance software transparency and reliability assessment. This study aims to extract infor…

cs.SE2024

Predicting Software Reliability in Softwarized Networks

Hasan Yagiz Ozkan, Madeleine Kaufmann, Wolfgang Kellerer +1

Providing high quality software and evaluating the software reliability in softwarized networks are crucial for vendors and customers. These networks rely on open source code, whic…

cs.NI202411 cited

Network Sovereignty: A Novel Metric and its Application on Network Design

Shakthivelu Janardhanan, Maria Samonaki, Poul Einar Heegaard +2

Most network planning problems in literature consider metrics such as cost, availability, and other technology-aware attributes. However, network operators now face new challenges…

cs.LG2024

Feature Distribution Shift Mitigation with Contrastive Pretraining for Intrusion Detection

Weixing Wang, Haojin Yang, Christoph Meinel +3

In recent years, there has been a growing interest in using Machine Learning (ML), especially Deep Learning (DL) to solve Network Intrusion Detection (NID) problems. However, the f…

cs.NI202315 cited

QoT estimation using EGN-assisted machine learning for multi-period network planning

Jasper Müller, Sai Kireet Patri, Tobias Fehenberger +3

The rapidly growing traffic demands in fiber-optical networks require flexibility and accuracy in configuring lightpaths, for which fast and accurate quality of transmission (QoT)…

cs.NI20234 cited

Multi-Wavelength Transponders for High-capacity Optical Networks: A Physical-layer-aware Network Planning Study

Jasper Müller, Ognjen Jovanovic, Tobias Fehenberger +3

Continued cost- and power-efficient capacity scaling in optical networks is imperative to keep pace with ever-increasing traffic demands. In this paper, we investigate multi-wavele…