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[Docs] Added DeepNetSlice to community projects (#1639)

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* Added DeepNetSlice to community projects

* Added description of network slice placement

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Co-authored-by: Antonin RAFFIN <antonin.raffin@ensta.org>
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Alex Pasquali 2023-08-05 18:12:08 +02:00 committed by GitHub
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docs/misc/changelog.rst
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@ -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)

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docs/misc/projects.rst
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@ -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
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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