=== Call for Papers ===

7th International Workshop on "Monitoring, Observability, and Operational Data Analytics" (MODA26)
In conjunction with ISC HPC 2026, June 26, 2026, Hamburg, Germany.
Website: https://moda.dmi.unibas.ch
Submission: https://ssl.linklings.net/conferences/isc_hpc/

The Monitoring, Observability, and Operational Data Analytics Workshop (MODA26) invites original contributions on monitoring and analyzing operational data in High Performance Computing (HPC) systems and data centers. We welcome submissions on ways to collect, store, visualize, interpret, and leverage large-scale system data, as well as the use of machine learning and AI techniques to enable proactive system control and optimization. New this year, the workshop explicitly invites contributions on observability and explainability of HPC system behavior. MODA26 also encourages contributions with regard to monitoring for integrated Quantum-HPC systems, and solutions that contribute to the successful co-design, procurement, and operation of next-generation HPC systems.

=== Important Dates ===

Paper Submission: February 23, 2026 (AoE)
Author Notification: April 13, 2026
Camera-ready: May 26, 2026 (AoE)
MODA26 Workshop: June 26, 2026

=== Workshop Goals ===

The goals of the MODA26 workshop are to:
- Establish common frameworks and standards to guide more consistent and effective MODA practices, and encourage work that closes the gap between simply collecting data and using it effectively to achieve real improvements in HPC operations.
- Bring together experts to share practical solutions, discuss challenges, and explore new ideas for improving how we gather, analyze, and leverage operational data.
- Identify current trends, highlight critical gaps, and shape the evolution of MODA, influencing the design, planning, and procurement of next-generation systems.

=== Scope and Topics ===

We seek contributions that address:
- Collecting and analyzing operational data in HPC and data centers at scale
- State-of-the-practice monitoring tools, methods, and techniques
- AI/ML approaches to understand system behavior and improve operations
- Critical evaluations of AI/ML approaches to ensure practical improvements for MODA
- Integrating MODA into system software, runtime environments, and resource management
- Solutions to increase observability and explainability of HPC systems
- Data-driven strategies for predictive maintenance, scheduling, and energy optimization
- Guidelines, tools, and best practices for energy efficiency and reporting
- Approaches to ensure FAIR data practices, compliance, and trusted multitenancy
- Successful real-world MODA deployments, case studies, and work-in-progress
- Integration of monitoring and analysis for Quantum Computing and HPC
- Monitoring, Observability, and Operational Data Analytics as drivers for digital twins of supercomputers

Contributions focused solely on application performance modeling, compiler analysis, debugging, or programming models are out-of-scope for the MODA26 workshop.

=== Submission and Publication ===

All papers submitted to MODA26 must be original and not simultaneously submitted to another venue. All submissions will be peer-reviewed by the technical program committee and accepted papers are expected to be presented in-person during the workshop (speakers have to register for ISC workshops).

The workshop chairs reserve the right to reject incorrectly formatted papers. Submissions cannot have previously been peer-reviewed and published or simultaneously under another peer-review.

Accepted and presented papers will be part of the post-conference Workshop Proceedings and will be published with Springer’s Lecture Notes in Computer Science (LNCS) (https://www.springer.com/de/it-informatik/lncs).

Maximum 1 page for lightning talk abstracts, between 6 and 12 pages (including a bibliography and appendices, with two possible extra pages after the review to address the reviewer’s comments) for full papers. Submissions are required to use the LNCS format (https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines).

ISC submission portal: https://ssl.linklings.net/conferences/isc_hpc/

=== Workshop Organizers ===

Thomas Jakobsche - University of Basel, Switzerland
Matthias Maiterth - Oak Ridge National Laboratory, US

=== Steering Board ===

Florina Ciorba - University of Basel, Switzerland
Utz-Uwe Haus - HPE EMEA Research Lab, Switzerland
Martin Schulz - Technische Universität München, Germany

We look forward to your contributions and hope to see you at the MODA26 workshop!