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OPODIS 2026: International Conference on Principles of Distributed Systems

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OPODIS
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截稿日期:
2026-09-07 Extended
通知日期:
2026-10-28
会议日期:
2026-12-09
会议地点:
Madrid, Spain
届数:
ICORE: B   QUALIS: B2   浏览: 18908   关注: 1   参加: 0

会伴指数 (CP-I)

71.9 / 100
全站第 302 名 / 共 5,683 个会议 · 前 6%

系统与体系结构 第 56 / 341

学术认可 (35%)
72
投稿选择性 (20%)
68
会议传承 (20%)
92
社区关注 (10%)
19
资料公开度 (15%)
85

用到的输入: 收录等级：ICORE B, QUALIS B2 · 录用率：38.5%（有记录的 5 届的均值） · 有据可查的届次：30 · 在会伴关注它的研究者：1 人 · 过去 24 个月打开过本页的研究者：4 人

公开资料里还缺: 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 100% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-09-22

征稿

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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录用率

平均录用率: 35.1% 12 年间 (2008–2020).

年份提交数录用数录用率(%)
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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