Conference Information

OPODIS 2026: International Conference on Principles of Distributed Systems

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OPODIS
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Submission Date:
2026-09-07 Extended
Notification Date:
2026-10-28
Conference Date:
2026-12-09
Location:
Madrid, Spain
Years:
ICORE: B   QUALIS: B2   Viewed: 18904   Tracked: 1   Attend: 0

Conference Partner Index (CP-I)

71.9 / 100
Ranked #302 of 5,683 conferences · Top 6%

#56 of 341 in Systems & Architecture

Academic recognition (35%)
72
Submission selectivity (20%)
68
Editions held (20%)
92
Community attention (10%)
19
Public record completeness (15%)
85

Inputs used: Listed as ICORE B, QUALIS B2 · Acceptance rate: 38.5% (mean of 5 editions on file) · Editions on record: 30 · Researchers following it here: 1 · Researchers who opened this page in the past 24 months: 4

Missing from the public record: Best-paper records (+2.3)
Organizers can add these from this page after claiming the conference; scores are recomputed nightly. How to raise this score

Confidence 100% - the share of the score backed by observed data rather than the neutral baseline. How this score is calculated · Browse the ranking · Algorithm version 1.1 · Computed 2026-09-22

Call For Papers

OPODIS 2026 (International Conference on Principles of Distributed Systems) is a ICORE B / QUALIS B2 conference held in Madrid, Spain on 2026-12-09. The paper submission deadline is 2026-09-07 (extended). Acceptance notifications are sent on 2026-10-28.

OPODIS is an open forum for the exchange of state-of-the-art knowledge concerning distributed computing and distributed computer systems. All aspects of distributed systems are within the scope of OPODIS, including theory, specification, design, performance, and system building. With strong roots in the theory of distributed systems, OPODIS now covers the whole range between the theoretical aspects and practical implementations of distributed systems, as well as experimentation and quantitative assessments. We are especially interested in papers that integrate theory and practice. Topics of interest include, but are not limited to: Distributed computing theory: impossibility results, complexity, game theory Distributed algorithms, distributed graph algorithms Distributed ledger practice and theory: blockchains and cryptocurrency, decentralized oracles, second-layer protocols Security, privacy, accountability and auditability: cryptographic tools applied to distributed computing, cryptographic distributed protocols, trusted execution environments Cloud and data centers, cloud and edge computing Communication and mobile networks, decentralized systems, and peer-to-peer networks Distributed ML: machine learning for distributed systems, distributed architectures and protocols for machine learning, federated learning, decentralized learning, distributed inference Distributed data analytics: big data analytics frameworks, data-intensive computing Parallelism, concurrency, and multicore systems Shared and transactional memory, non-volatile memory, distributed shared memory Systems and algorithms for distributed storage Mobile agents and robots Self-*: self-stabilizing, self-organizing, and autonomous systems Dependability, fault tolerance, consensus, and consistency models Cyber-physical systems: IoT, smart environments Formal methods / verification of concurrent / distributed systems Concurrent and distributed data structures Synchronization
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Acceptance Ratio

Average acceptance rate: 35.1% over 12 years (2008–2020).

YearSubmittedAcceptedAccepted(%)
2020753040%
2019873236.8%
2018662842.4%
2017823036.6%
2016843136.9%
2015913134.1%
2014983232.7%
2013411946.3%
2012892427%
2011962627.1%
2009722331.9%
20081023029.4%

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