CODECO Media Consumption Traffic for Edge-Cloud Video Streaming Datasets

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:

Streaming sessions were executed using the CODECO media delivery service.

Browser network traffic was recorded as HAR files.

A Python extraction pipeline parsed the HAR entries and anonymized IPs.

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