Published June 3, 2026 | Version v1
Dataset Open

Real-world and synthetic DAG datasets with bounded uncertainty for edge-cloud cyber-physical systems

  • 1. KIOS Research and Innovation Center of Excellence, University of Cyprus
  • 2. Department of Electrical and Computer Engineering, University of Cyprus

Description

These datasets comprise directed acyclic graph (DAG) representations of cyber-physical system (CPS) applications and corresponding edge-cloud CPS architecture descriptions for task scheduling experiments under bounded uncertainty in multiple system and application parameters. The datasets include two real-world CPS applications and a set of synthetic DAGs with varying sizes and graph shapes. Additional details are provided in the accompanying README.md file.

Files

Datasets.zip

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Additional details

Funding

European Commission
KIOS CoE - KIOS Research and Innovation Centre of Excellence 739551