Angelo Riccobene
Performance evaluation of Networked Music Performance (NMP) over 5G scenarios through a Python-based simulator.
Rel. Cristina Emma Margherita Rottondi. Politecnico di Torino, Master of science program in Communications And Computer Networks Engineering, 2024
|
Preview |
PDF (Tesi_di_laurea)
- Thesis
Licence: Creative Commons Attribution Non-commercial No Derivatives. Download (2MB) | Preview |
Abstract
Networked Music Performances (NMPs) enable remote musicians to perform together by means of low-latency audio/video streaming over a telecommunication network. Latency and reliability are two key parameters for the end-to-end transmission of audio information through networks in this context. The stringent requirements of NMPs with respect to those parameters pose a major challenge for 5G networks, which are expected to deliver significant Key Performance Indicator (KPI) improvements with respect to 4G. The objective of this thesis is to develop a Python-based simulator to define the placement of virtual machines operating as audio mixing servers within a set of candidate network nodes, while complying to the latency requirements of NMPs.
The simulator emulates an optical network functioning as the backend for a 5G access network
Relators
Academic year
Publication type
Number of Pages
Course of studies
Classe di laurea
URI
![]() |
Modify record (reserved for operators) |
