Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

[Docs] Added DeepNetSlice to community projects #1639

Merged
merged 3 commits into from
Aug 5, 2023
Merged

[Docs] Added DeepNetSlice to community projects #1639

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
3 commits
Select commit Hold shift + click to select a range
afdb842
Added DeepNetSlice to community projects
AlexPasqua Aug 1, 2023
e19e47f
Merge branch 'master' into add-project
araffin Aug 4, 2023
ec2ad36
Added description of network slice placement
AlexPasqua Aug 5, 2023
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions docs/misc/changelog.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -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)
Expand Down
17 changes: 17 additions & 0 deletions docs/misc/projects.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -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