Published March 13, 2026 | Version v1

CODECO Media Consumption Traffic for Edge-Cloud Video Streaming Datasets

Authors/Creators

Description

Overview

Field Value
Dataset Name Media Consumption Traffic for Edge-Cloud Video Streaming
Dataset Unique ID HEU-101092696-CODECO-P3-MDS-MediaConsumptionTraffic
Project CODECO — COgnitive DECentralized Orchestration
Grant Agreement Number 101092696
Topic HORIZON-CL4-2022-DATA-01
Related WP / Task WP5
Version 1.0
Release Date 2026
License ODC Open Database License (ODbL)

Dataset Description

This dataset contains HTTP request/response traces generated during video streaming sessions in the context of the P3 use case of the CODECO project.

The data was extracted from HAR (HTTP Archive) network captures obtained from browser developer tools during demonstrations with CDN platform.

In this scenario, the central CDN origin server was deployed in a data centre located in Greece, hosting the master copy of the media content. In addition, an edge cache instance was deployed in Madrid (Spain) on a smaller compute cluster orchestrated through the CODECO platform.

When a user accessed the streaming service, the request was initially handled by the central CDN endpoint. The client was then redirected to the edge cache running in the Madrid cluster, allowing the media segments to be served locally from the edge rather than from the central site.

The resulting network traces in this dataset therefore reflect traffic delivered by both the central CDN node (Greece) and the edge cache node (Madrid) during streaming sessions.

Each row represents a single HTTP transaction associated with media streaming activity, typically including:

  • Media segment requests (e.g., .ts, .m4s)
  • Streaming manifest files (e.g., .m3u8, .mpd)
  • Associated request metadata and network performance metrics.

The dataset enables analysis of content delivery behaviour across distributed edge/cloud nodes, supporting research on:

  • media streaming performance
  • edge caching efficiency
  • distributed CDN architectures
  • QoE monitoring for video delivery

Use Cases and Intended Audience

This dataset is intended for researchers and engineers working on:

  • Edge-cloud media delivery
  • Content Delivery Networks (CDN)
  • Edge caching and orchestration
  • Network performance analysis

Typical analyses include:

  • chunk delivery latency
  • throughput estimation
  • edge cache node comparison
  • streaming session reconstruction

Data Origin and Generation Methodology

  • Origin: Network traffic captured during CODECO MDS demonstrations.
  • Capture method: Browser developer tools network inspector (HAR export).
  • Processing pipeline:
    1. Streaming sessions were executed using the CODECO media delivery service.
    2. Browser network traffic was recorded as HAR files.
    3. A Python extraction pipeline parsed the HAR entries and anonymized IPs.
    4. Relevant fields were extracted and flattened into a CSV dataset.

The resulting dataset represents real HTTP traffic observed during streaming playback.

File Structure

Smart Cities MDS

  • README.md
  • HEU-101092696-CODECO-P3-MDS-MediaConsumptionTraffic.csv
  • anonymize-raw-traffic-file-madrid-cluster.har

CSV Schema

File: HEU-101092696-CODECO-P3-MDS-MediaConsumptionTraffic.csv

Column Source Description
startedDateTime HAR Timestamp when the request started
url HAR Full request URL
hostname Derived Host extracted from URL
path Derived URL path
file_ext Derived File extension
asset_type Derived Resource type (manifest, chunk, other)
chunk_id Derived Media segment identifier extracted from filename
status HAR HTTP response status code
statusText HAR HTTP response message
serverIPAddress HAR IP address of the server/cache node
connection HAR Connection identifier
content_size HAR Decoded content size
content_encoding HAR Encoding used for stored payload
bodySize HAR Actual transferred body size
response_headersSize HAR Size of response headers
request_headersSize HAR Size of request headers
time_ms HAR Total request duration
blocked_ms HAR Time waiting for network slot
connect_ms HAR TCP connection time
wait_ms HAR Server processing time (TTFB)
receive_ms HAR Response download time
throughput_Bps Derived Estimated throughput (bytes/sec)
is_success Derived 1 if 200 ≤ status < 300
is_redirect Derived 1 if 300 ≤ status < 400
is_error Derived 1 if status ≥ 400
is_media Derived 1 if asset is a streaming manifest or media chunk

Asset Type Classification

Extension Type
.m3u8, .mpd manifest
.ts, .m4s, .mp4 media chunk
others other

Data Format

  • Format: CSV (Comma-Separated Values)
  • Encoding: UTF-8
  • Header row: Included
  • Time format: ISO 8601 timestamps

Metadata and Standards

  • Capture format: HAR (HTTP Archive)
  • Network protocol: HTTP/HTTPS
  • Time units: milliseconds for timing metrics

License

This dataset is released under the ODC Open Database License (ODbL).

You are free to:

  • Share — copy and redistribute the database
  • Create — produce works from the database
  • Adapt — modify and build upon the database

Under the conditions that you:

  • Attribute the source
  • Share derived databases under the same license
  • Keep the data open

Full license text:
https://opendatacommons.org/licenses/odbl/

Citation

If you use this dataset in your research, please cite the CODECO project:

CODECO — COgnitive DECentralized Orchestration
Horizon Europe Grant Agreement No. 101092696
Topic: HORIZON-CL4-2022-DATA-01

Dataset:
HEU-101092696-CODECO-P3-MDS-MediaConsumptionTraffic

Contact

For questions regarding this dataset, please contact the CODECO consortium or open an issue in the repository.

Project website:
https://www.codeco-project.eu

Files

HEU-101092696-CODECO-P3-MDS-MediaConsumptionTraffic.csv

Files (350.5 MB)

Name Size
md5:24512bbe6d2c868048861fd82abdcadb
350.2 MB Download
md5:805f9bb49cbde32d9bfd44a56af1ea49
30.5 kB Download
md5:7688a8f9cdee67cb4a10869d25ea5a40
263.5 kB Preview Download

Additional details

Funding

European Commission
CODECO - Cognitive Decentralised Edge Cloud Orchestration 101092696