Información de la conferencia

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

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Día de Entrega:
2026-07-15
Fecha de Notificación:
2026-08-30
Fecha de conferencia:
2026-10-09
Ubicación:
Gothenburg, Sweden
Ediciones:
ICORE: C   Vistas: 42263   Seguidores: 7   Asistentes: 1

Índice Conference Partner (CP-I)

67,3 / 100
Puesto n.º 381 de 5.682 congresos · 7% superior

N.º 32 de 360 en Seguridad y privacidad N.º 67 de 341 en Sistemas y arquitectura

Reconocimiento académico (35%)
58
Selectividad en la revisión (20%)
64
Ediciones celebradas (20%)
91
Atención de la comunidad (10%)
33
Integridad del registro público (15%)
85

Datos utilizados: Categorías: ICORE C · Tasa de aceptación: 41.9% (media de 5 ediciones registradas) · Ediciones documentadas: 28 · Investigadores que lo siguen aquí: 7 · Investigadores que abrieron esta página en los últimos 24 meses: 5

Falta en el registro público: Premios al mejor artículo (+2,3)
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Solicitud de Artículos

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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Tasa de aceptación

Tasa de aceptación media: 39.2% en 8 años (2009–2017).

AñoEnviadosAceptadosAceptados(%)
2017682942.6%
2016532343.4%
2015381642.1%
2014442147.7%
2013682333.8%
2012752128%
2011792936.7%
20091264938.9%

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CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655
BPattern Recognition7.6Elsevier0031-3203
IEEE Access3.6IEEE2169-3536

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