diff --git a/docs/misc/changelog.rst b/docs/misc/changelog.rst index 8f08ccca4..53c4f34ad 100644 --- a/docs/misc/changelog.rst +++ b/docs/misc/changelog.rst @@ -43,6 +43,7 @@ Documentation: - Fixed callback example (@BertrandDecoster) - Fixed policy network example (@kyle-he) - Added mobile-env as new community project (@stefanbschneider) +- Added [DeepNetSlice](https://github.com/AlexPasqua/DeepNetSlice) to community projects (@AlexPasqua) Release 2.0.0 (2023-06-22) diff --git a/docs/misc/projects.rst b/docs/misc/projects.rst index 53ad8f749..1c3ba95fc 100644 --- a/docs/misc/projects.rst +++ b/docs/misc/projects.rst @@ -212,3 +212,20 @@ It allows simulating various scenarios with moving users in a cellular network w | Authors: Stefan Schneider, Stefan Werner | Github: https://github.com/stefanbschneider/mobile-env | Paper: https://ris.uni-paderborn.de/download/30236/30237 (2022 IEEE/IFIP Network Operations and Management Symposium (NOMS)) + + +DeepNetSlice +------------ + +A Deep Reinforcement Learning Open-Source Toolkit for Network Slice Placement (NSP). + +NSP is the problem of deciding which physical servers in a network should host the virtual network functions (VNFs) that make up a network slice, as well as managing the mapping of the virtual links between the VNFs onto the physical infrastructure. +It is a complex optimization problem, as it involves considering the requirements of the network slice and the available resources on the physical network. +The goal is generally to maximize the utilization of the physical resources while ensuring that the network slices meet their performance requirements. + +The toolkit includes a customizable simulation environments, as well as some ready-to-use demos for training +intelligent agents to perform network slice placement. + +| Author: Alex Pasquali +| Github: https://github.com/AlexPasqua/DeepNetSlice +| Paper: **under review** (citation instructions on the project's README.md) -> see this Master's Thesis for the moment: https://etd.adm.unipi.it/theses/available/etd-01182023-110038/unrestricted/Tesi_magistrale_Pasquali_Alex.pdf