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January 26, 2026The European Physical Journal COpen Access

iDDS: intelligent distributed dispatch and scheduling for workflow orchestration

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Authors

WGWen GuanTMTadashi MaenoAAAleksandr Alekseev

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Overview

This system improves workflow automation in scientific computing, supporting diverse applications across infrastructures.

Key Points

  • The aim is to present the capabilities and architecture of the iDDS service for workflow orchestration in distributed environments.
  • Developed for large-scale distributed scientific computing
  • Integrates data-aware execution and conditional logic
  • Supports both template-driven workflows and function-as-a-task model
  • Showcases real-world applications for ATLAS and Rubin Observatory
  • Addresses future challenges in interactive and cloud-native environments
  • iDDS reduces operational overhead and enhances workflow reproducibility
  • Demonstrated effectiveness in orchestrating complex data processing pipelines
  • Facilitated hyperparameter optimization for machine learning and active learning in physics
  • Supports high-throughput workflows over heterogeneous infrastructure

Cite This Study

Guan et al. (2026) studied this question.

synapsesocial.com/papers/697703af722626c4468e8b59https://doi.org/10.1140/epjc/s10052-025-15275-7
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