Objective

The ACM International Conference on Distributed and Event‐Based Systems (DEBS) is the premier venue for academia and industry to discuss cutting-edge research in distributed and event-based computing and data processing. DEBS 2026 will provide a forum for original research, practical insights, and experiences in distributed and event-based systems, with a focus on emerging trends and new challenges in the field.

We solicit high-quality submissions across a range of topics, with different submission options to reflect the nature of each contribution. All submissions will undergo a rigorous peer review process.

Scope

The DEBS conference covers a broad range of topics in distributed and event-based computing for various application domains and computing environments. The conference aims to present novel solutions for collecting, detecting, processing, analyzing, and responding to events through distributed middleware, systems, and platforms. DEBS 2026 welcomes submissions focusing on 1) Models, Architectures, Programming, and Query Support, 2) Systems and Software, and 3) Applications and Use-Cases on the following topics:

Important Dates

Deadlines expire at 11:59pm AoE.

Organizers

General chair

PC chairs

Submissions Categories

The DEBS 2026 Research Track welcomes papers in the following categories:

For information about Auxiliary Materials, please check here.

Submissions Guidelines

Submissions should be formatted in the ACM proceedings style (two-column “sigconf” from https://www.acm.org/publications/proceedings-template, font size set to 10 pt). Further instructions regarding the submission process will be provided soon. A submitted paper cannot be under review for any other conference or journal during the time it is considered for DEBS 2026, and it must be substantially different from any previously published work.

The Research Track adopts a double-blind review process for both categories of papers, where neither authors nor reviewers know each other’s identities. This means that submitted papers must be anonymous (not revealing author names). References to authors’ previous work should be done in the third person to not reveal their identities. There should be no acknowledgments of people or projects. Supplementary material (e.g., GitHub or GitLab repository) should not reveal the authors’ identities; to this end, anonymized repositories can be used (e.g., https://anonymous.4open.science).

Double-blind reviewing does not preclude submitting work intended for DEBS 2026 to preprint services such as arXiv. However, authors are encouraged to use preventive measures to reduce the chances of accidental breach of anonymity (e.g., use a sufficiently different title for their preprint submission).

Authors are strongly encouraged to be inclusive in the writing and presentation of their work. Please visit the subsection "D&I materials" at https://dbdni.github.io/ for details.

DEBS 2026 promotes research reproducibility: authors of papers submitted to the Research Track are encouraged to make their artifacts available. The reviewers will be encouraged to consider this supplementary material. The ACM Artifacts Available badge will be placed on accepted papers that make their artifacts available according to ACM’s rules (https://www.acm.org/publications/policies/artifact-review-badging).

The Research Track Program Committee will evaluate submissions to the Research Track, as well as authors’ responses provided during the rebuttal period.

Authors of selected, top-rated papers from DEBS 2026 will be invited to submit an extended version of their work to the special issue for Elsevier's Information Systems on "Advances in Distributed Data Processing and Event-Based Systems".

DEBS 2026 plans to be an in-person event, and the authors of accepted papers are expected to arrange for an in-person attendee to present the paper and answer questions.

All accepted papers will be published in the ACM Digital Library under the ACM DEBS Conference Proceedings. the official publication date is the date the proceedings are made available in the ACM Digital Library. ACM reserves the right to exclude a paper from distribution after the conference (e.g., removal from ACM Digital Library) if none of the authors attends the conference to present their paper.

If you have any questions, please contact the PC co-chairs, Ruben Mayer and Vasiliki Kalavri .

ACM Policies and Procedures

By submitting your article to an ACM Publication, you are hereby acknowledging that you and your co-authors are subject to all ACM Publications Policies, including ACM's Publications Policy on Research Involving Human Participants and Subjects. ACM will investigate alleged violations of this policy or any ACM Publications Policy and may result in a full retraction of your paper, in addition to other potential penalties, as per ACM Publications Policy.

Regarding ACM Policy on Authorship, which also provides policies on the use of generative AI tools in preparing manuscripts, please check the frequently asked questions page.

Please ensure that you and your co-authors obtain an ORCID ID, so you can complete the publishing process for your accepted paper.