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NANCY SNS-JU project "Italian in-lab testbed dataset 1" D6.6
- Citation Author(s):
-
AntoninoAlbanese
Italtel - Submitted by:
- Antonella Clavenna
- Last updated:
- Fri, 12/22/2023 - 15:20
- DOI:
- 10.21227/y6ah-j205
- Data Format:
- License:
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Abstract
This Dataset provides input data for the development of the B-RAN and attacks models for the NANCY framework,to model training and model inference functions. The data collected plays the role of ML algorithm-specific data preparation. The dataset contains time-series, collected transmitting a video content through the Italtel "VTU - video streaming and transcoding application", that can convert audio and video streams from one format to another, at multiple encodings schemes, changing resolution, bitrate, and video parameters. The data collected are related to the observation of some of the resources involved inthe Usage Scenario: “Fronthaul network of fixed topology – Direct Connectivity”. In the Italtel Italian in-lab testbed, a MEC assisted 5G network scenario with a video streaming application for generating traffic is provided. Two different scenarios were set-up, related to downstream and upstream video flows. The variety of collected features ranges from radio front-end metrics to physical server operating system and network function metrics. The dataset consists of raw network traffic and extracted flow-based data captured in separate files. Each file captured is associated to a 10min video streaming of the “Big Buck Bunny” video. This video was transmitted on two different bands, N3 and N78, with different resolutions, 480p, 720p, 1080p; both in uplink (UL) and in downlink (DL); the type of protocol monitored is “HTTP protocol”; in case of N78 band, data related to the resource usage were also captured, for a total of more that 100 data files.
The collected dataset is representative resource-intensive video traffic that has the greatest impact on 5G/B5G network planning and provisioning. The video streaming dataset includes data directly measured while watching the video on the mobile devices and data directly measured while generating downstream video stream traversing the gNB (i.e., downstream scenario), and vice versa (i.e., upstream scenario). In each experiment, we fixed the location of the UE and the gNB.
Considering the reference testbed scenario, the data were collected in three different points of the network: UE, gNB and edge host (point A, point B and point E respectively in the figure). The data collected are organized in folders. Starting from the upper level, the dataset consists of the following folders: “Band_N3_10Mhz” and “Band_N78_10Mhz”, respectively associated with the data captured using the Band N3 and the Band N78. Similarly, each “Band_Nx_10Mhz” folder is organized in as many subfolders as the resolution types (i.e. 480p, 720p,1080p). Each one of these latter similarly contains a subfolder “HTTP_protocol” organized in two subfolders: “download” and “upload”. The “download” folder contains all the files related to the data captured during the “downstream” tests, while the “upload” folder contains all the files related to the data captured during the “upstream” tests.
