K-Sense A Non-Invasive eBPF Framework for QoS Inference

Zenodo (CERN European Organization for Nuclear Research) 2026 Preprint Open access

Read full text
Authors: Abdullah Muslim, Ali Beiti Aydenlou, Stephan Recker
DOI: 10.5281/zenodo.18401423
Cited by: 0

Abstract

This preprint presents K-Sense, a non-invasive eBPF-based framework for quality-of-service (QoS) inference. The framework enables passive monitoring and inference without modifying applications or network infrastructure. This manuscript is currently under review.

Fields of Study & Subjects

Software System Performance and Reliability Network Traffic and Congestion Control Software-Defined Networks and 5G

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
28 January 2026
Language
EN
Document type
Preprint