会议信息

SSS 2026: International Symposium on Stabilization, Safety, and Security of Distributed Systems

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SSS
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截稿日期:
2026-07-15
通知日期:
2026-08-30
会议日期:
2026-10-09
会议地点:
Gothenburg, Sweden
届数:
ICORE: C   浏览: 42265   关注: 7   参加: 1

会伴指数 (CP-I)

67.3 / 100
全站第 381 名 / 共 5,682 个会议 · 前 7%

安全与隐私 第 32 / 360 系统与体系结构 第 67 / 341

学术认可 (35%)
58
投稿选择性 (20%)
64
会议传承 (20%)
91
社区关注 (10%)
33
资料公开度 (15%)
85

用到的输入: 收录等级：ICORE C · 录用率：41.9%（有记录的 5 届的均值） · 有据可查的届次：28 · 在会伴关注它的研究者：7 人 · 过去 24 个月打开过本页的研究者：5 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 2026-09-18

征稿

SSS 2026 (International Symposium on Stabilization, Safety, and Security of Distributed Systems) is a ICORE C conference held in Gothenburg, Sweden on 2026-10-09. The paper submission deadline is 2026-07-15. Acceptance notifications are sent on 2026-08-30.

SSS is an international forum for researchers and practitioners in the design and development of distributed systems with a focus on systems that are able to provide guarantees on their structure, performance, and/or security in the face of an adverse operational environment. The symposium encourages submissions of original contributions on both fundamental research and practical applications concerning topics in the symposium tracks: Track A. Stabilization and Locality in Distributed Computing Stabilizing Systems Proof labelling schemes Graph Algorithms Graph-theoretic concepts for communication networks Social and Peer-to-Peer Networks LOCAL/CONGEST models Communication complexity Game-theory and economical aspects of distributed computing Dynamic networks, time-varying graphs, evolving graphs Track B. Time, Safety, and Security in Distributed Computing Concurrent and fault-tolerant algorithms Synchronization protocols Shared and transactional memory Blockchain technologies and cryptocurrencies Formal methods, semantics and verification of distributed systems Secure multi-party computation and cryptographic distributed protocols Privacy-enhancing technologies and anonymity Post-quantum and information theoretic cryptography and security Track C. Moving and Computing Mobile agents Autonomous mobile robots Mobile sensor networks Mobile ad-hoc networks Population protocols Nature-inspired computing Programmable particles, nanoscale robots, biological systems, and related new models Track D. Distributed Artificial Intelligence and Machine Learning Fault-tolerant distributed training Scheduling and resource allocation in ML clusters Consistency models for distributed ML Communication efficient distributed machine learning Edge Cloud co-training ML-aware storage systems Data flow optimization of ML pipelines Energy efficient distributed ML Learning augmented consensus Predictive failure detection Convergence of asynchronous optimization Lower bounds for distributed learning Track E. Real-World Distributed Systems and Operational Challenges This track welcomes contributions that bridge distributed systems research with practical deployment, empirical evaluation, and operational experience. Deployment and implementation of distributed algorithms and protocols Real-world case studies of distributed and dependable systems, including operational IoT and cyber-physical deployments such as automotive infrastructures Industry-driven challenges in distributed systems Empirical evaluation and benchmarking of distributed systems Comparative and reproducibility studies for distributed systems Large-scale configuration, orchestration, and systems management Reliability, resilience, and fault tolerance in deployed systems and cyber-physical infrastructures Security and privacy protection for operational distributed systems and infrastructures Scalability bottlenecks and debugging experiences in real deployments Operational lessons learned from distributed systems in practice
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录用率

平均录用率: 39.2% 8 年间 (2009–2017).

年份提交数录用数录用率(%)
2017682942.6%
2016532343.4%
2015381642.1%
2014442147.7%
2013682333.8%
2012752128%
2011792936.7%
20091264938.9%

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