会议信息

DS-RT 2026: International Symposium on Distributed Simulation and Real Time Applications

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DS-RT
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截稿日期:
2026-05-10
通知日期:
2026-07-15
会议日期:
2026-09-16
会议地点:
Padua, Italy
届数:
30
ICORE: C   QUALIS: B2   浏览: 31837   关注: 5   参加: 0

会伴指数 (CP-I)

60.3 / 100
全站第 602 名 / 共 5,687 个会议 · 前 11%
学术认可 (35%)
68
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
92
社区关注 (10%)
28
资料公开度 (15%)
35

用到的输入: 收录等级：ICORE C, QUALIS B2 · 有据可查的届次：30 · 在会伴关注它的研究者：5 人 · 过去 24 个月打开过本页的研究者：3 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 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 80% —— 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 2026-09-25

征稿

DS-RT 2026 (International Symposium on Distributed Simulation and Real Time Applications) is a ICORE C / QUALIS B2 conference held in Padua, Italy on 2026-09-16. The paper submission deadline is 2026-05-10. Acceptance notifications are sent on 2026-07-15.

DS-RT provides an international forum for discussing and presenting original ideas, recent results, and achievements by researchers, research students, and systems developers on issues and challenges related to distributed Simulation and real-time applications. Authors are encouraged to submit both theoretical and practical results of significance. Demonstration of new tools/applications is very encouraged. The scope of the symposium includes, but is not limited to: Advanced Paradigms in Large Scale Distributed and Real-Time Simulations: Exploring innovative methodologies and software architectures for extreme scale simulations, including parallel and distributed simulation, multi-agent systems, and hardware-software co-design. Large Scale Real-Time Systems and Concurrent Systems Design: Focusing on paradigms, modeling, and architecture for systems with hard and soft real-time constraints, emphasizing the development of robust and efficient environments. Innovative Modelling Techniques for Simulation: Delving into advanced modeling approaches, including the reuse of models, development of new modeling languages, agent-based modeling, and spatial modeling and simulation. Multi-Level, Multi-Scale, and Multi-Resolution Modeling: Investigating the complexities and challenges in creating simulations that operate across various levels, scales, and resolutions. Non-Functional Properties in Distributed Simulation and Real-Time Systems: Addressing key aspects like dependability, reliability, maintainability, safety, security, and quality of service in simulation and real-time systems. Theoretical Foundations of Real-Time and Simulation Models: Exploring fundamental concepts such as event systems, causality, space-time models, notions of time, and the coordination of simulators in discrete and continuous systems. Large Scale Simulation Studies: Presenting case studies and research in industrial, commercial, ecological, societal, and pervasive computing systems, focusing on large and very large scale applications. Performance and Validation in Large Scale Distributed Simulations: Discussing benchmarking, analytical results, and empirical studies to assess the performance and accuracy of large-scale distributed simulations. Parallel and Distributed Simulation Algorithms and Methods: Covering synchronization, scheduling, memory management, and load balancing in the context of parallel or distributed simulation. Virtual Environments and Mixed Reality Systems in Simulation: Exploring the use of interactive virtual reality, immersive environments, and human communication in simulation-based virtual and mixed reality systems. Collaborative Virtual and Augmented Reality: Investigating shared interaction spaces, telepresence systems, and shared workspaces, including 3D video and acoustic reconstruction. Serious Gaming and MMOG in Simulation: Addressing applications, architectures, and scalability issues in serious gaming and massive multiplayer online games. Human-Computer Interaction in Large Scale DS-RT Systems: Examining design issues, interaction designs, and the challenges raised by large-scale distributed simulation and real-time systems. Artificial Intelligence and Machine Learning in Simulation: Focusing on the integration and application of AI and machine learning techniques within simulation environments. Advances in Digital Twin Paradigms: Exploring the latest developments, applications, and challenges in the field of digital twins, emphasizing their role in bridging the physical and digital worlds. Intersection of Digital Twins and machine learning: enhancing predictive modeling, real-time analytics, and decision-making, focusing on on novel algorithms and use-cases Role of Digital Twins in applications: enhancing automation, connectivity, and real-time data exchange. Contributions are solicited on implementation challenges and future trends on applications such as Industry 4.0, manifacturing, supply chain, construction, aerospace, logistics, energy sector, healthcare. Prototyping and Developing Real-World Applications for Extended Reality
由 Dou Sun 最后更新于

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