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dataset-rtas2021

This dataset is used for the IEEE RTAS 2021 publication, primarily to train and evaluate network calculus delay bounds by tightening them through predicting flow prolongations in FIFO analysis. The dataset includes three main files for training and different evaluation parts, plus a file that describes the data structure.

Updated 11/24/2021
github

Description

Dataset Overview

Dataset Name

  • Tightening Network Calculus Delay Bounds by Predicting Flow Prolongations in the FIFO Analysis

Dataset Purpose

  • Used for the research presented in the paper “Tightening Network Calculus Delay Bounds by Predicting Flow Prolongations in the FIFO Analysis”.

Dataset Components

  • dataset-train.pbz: Dataset for training GNN.
  • dataset-evaluation.pbz: Dataset for evaluation, excluding Section VI‑C.
  • dataset-evaluation-large.pbz: Dataset for evaluation of Section VI‑C.
  • dataset_structure.proto: File describing the dataset structure.

Dataset Format

  • The dataset is stored as serialized protobuf messages, using the Python library pbzlib.

Dataset Access

  • Access the original dataset via DOI 10.14459/2020mp1596901.
  • Use the FTP download command: $ wget -r ftp://m1596901:m1596901@dataserv.ub.tum.de/

Dataset Usage Example

  • A Python example script is provided for parsing the dataset files.

Dataset License

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Topics

Network Calculus
Delay Analysis

Source

Organization: github

Created: 2/17/2021

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