会议信息

RTAS 2027: IEEE Real-Time and Embedded Technology and Applications Symposium

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截稿日期:
2026-11-05 还有 25 天
通知日期:
2027-01-28
会议日期:
2027-05-11
会议地点:
New York City, New York, USA
届数:
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CCF: B   ICORE: A   QUALIS: A2   浏览: 51300   关注: 71   参加: 7
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会伴指数 (CP-I)

89.8 / 100
全站第 73 名 / 共 5,695 个会议 · 前 2%

系统与体系结构 第 19 / 340

学术认可 (35%)
92
投稿选择性 (20%)
85
会议传承 (20%)
95
社区关注 (10%)
66
资料公开度 (15%)
100

用到的输入: 收录等级：CCF B, ICORE A, QUALIS A2 · 录用率：24.3%（有记录的 5 届的均值） · 有据可查的届次：33 · 在会伴关注它的研究者：71 人 · 过去 24 个月打开过本页的研究者：25 人

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 2026-10-11

征稿

RTAS 2027 (IEEE Real-Time and Embedded Technology and Applications Symposium) is a CCF B / ICORE A / QUALIS A2 conference held in New York City, New York, USA on 2027-05-11. The paper submission deadline is 2026-11-05. Acceptance notifications are sent on 2027-01-28.

Technical Tracks The conference consists of two tracks: Track 1: Systems and Applications This track focuses on empirical research pertaining to system- or component-level analysis, optimization, and verification, as well as applications, runtime software, and hardware architectures for systems with timing requirements. We highly encourage submissions from the systems, networking, architecture, and design automation communities exploring timing issues and predictability. Topics relevant to this track include, but are not limited to: Applications: Real-world deployments with timing requirements, such as autonomous systems, large-scale cyber-physical systems, real-time clouds and datacenters. Software stacks: Real-time and embedded operating systems, hypervisors, virtualization, containerization, middleware, and runtime frameworks. Hardware architectures: Predictable memory hierarchies, FPGAs, GPUs, neuromorphic platforms, and specialized hardware accelerators. Networking: Networks with timing requirements, Time-Sensitive Networking (TSN), predictable wireless protocols, and deterministic software-defined networks. Distributed infrastructures: Microservice technologies, serverless platforms, cloud and edge orchestration, and CPS/IoT infrastructure. Real-time AI/ML: Predictable AI/ML pipelines, federated learning, real-time inference, and latency-bounded LLM serving systems. Tools and analysis: Application profiling, WCET and probabilistic timing analysis, timing-aware compilers, developer tools, benchmarks, and real-world case studies. Track 1 Submission Requirements: Papers submitted to this track should focus on specific systems and implementations. Authors must include a section with experimental results performed on a real implementation or demonstrate applicability to an industrial case study or working system. The experimental evaluation or case study should clearly highlight the key lessons learned. Simulation-based results are acceptable for architectural simulation, or other cases where authors clearly motivate why it is not feasible to develop and evaluate a real system. Papers discussing design and implementation experiences on real industrial systems are especially encouraged. Empirical survey-based research focused on the real-time systems field is also welcome in this track. This type of research uses surveys, questionnaires, interviews, use cases, or other empirical techniques to obtain information about the past, current, and future state of play in the research, design, development, verification, validation, and deployment of systems with timing requirements. Track 2: Applied Methodologies and Foundations This track focuses on fundamental models and analysis techniques applicable to systems with timing requirements. It welcomes contributions that develop rigorous approaches to practical challenges in such systems, including knowledge-based, data-driven, and hybrid models, as well as analytical, statistical, and probabilistic methods. Topics include, but are not limited to: Modeling: Modelling languages, modelling methods, data-driven model learning, model validation and calibration. Resource management: Scheduling algorithms, multi-resource allocation methods, shared-resource isolation, energy/thermal-aware management, and cross-layer orchestration techniques. Optimization: System-level optimization, design space exploration, and hardware-software, control-platform, or inference-scheduling co-design techniques. Verification and validation: Formal verification methods, contract-based design, testing, and validation methodologies. Track 2 Submission Requirements: Papers must describe the main context or use case for the proposed methods and provide clear motivating examples based on real systems. The system models and any assumptions used in the derivation of the methods must be applicable to real systems and reflect actual needs. Papers must include a section on experimental results, preferably including a case study based on information from a real system. The use of synthetic workloads and models is acceptable if appropriately motivated and used to provide a systematic evaluation.
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录用率

平均录用率: 28.7% 18 年间 (1996–2013).

年份提交数录用数录用率(%)
2013962829.2%
20121273023.6%
20111392920.9%
20101493322.1%
20091253225.6%
20081403525%
20071093128.4%
20061283829.7%
20051585333.5%
20042056230.2%
2003502346%
2002892730.3%
2001642031.3%
2000842631%
1999862023.3%
1998942627.7%
1997671826.9%
1996862731.4%

最佳论文

年份最佳论文
2026Per-Bank Memory Bandwidth Regulation for Predictable and Performant Real-Time Systems
2026ZeroSwap: Minimizing Swap Overhead for Real-Time Multi-DNN Inference via SSD-based GPU Memory Extension
2025CROS-RT: Cross-Layer Priority Scheduling for Predictable Inter-Process Communication in ROS 2
2025A Unified Framework for Quantitative Cache Analysis
2024PAAM: A Framework for Coordinated and Priority-Driven Accelerator Management in ROS 2
2023G(IP)2C: Temporally Isolated Multiprocessor Real-Time IPC with Server-to-Server Invocations
2023Shedding Light on Static Partitioning Hypervisors for Arm-based Mixed-Criticality Systems
2023Hardware Compute Partitioning on NVIDIA GPUs
2022Partial-Order Reduction for Schedule-Abstraction-based Response-Time Analyses of Non-Preemptive Tasks
2022FlyOS: Integrated Modular Avionics for Autonomous Multicopters
2022Self-Cueing Real-Time Attention Scheduling in Criticality-Aware Visual Machine Perception
2021No Crash, No Exploit: Automated Verification of Embedded Kernels
2021OpenUVR: an Open-Source System Framework for Untethered Virtual Reality Applications
2021Budget RNNs: Multi-Capacity Neural Networks to Improve In-Sensor Inference under Energy Budgets
2021Constrained Data-Age with Job-Level Dependencies: How to Reconcile Tight Bounds and Overheads
2019Holistic Resource Allocation for Multicore Real-Time Systems
2019RTNF: Predictable Latency for Network Function Virtualization
2019Denial-of-Service Attacks on Shared Cache in Multicore: Analysis and Prevention
2016Taming Non-blocking Caches to Improve Isolation in Multicore Real-Time Systems
2016Attacking the One-Out-Of-m Multicore Problem by Combining Hardware Management with Mixed-Criticality Provisioning
2016Mixed-Criticality Federated Scheduling for Parallel Real-Time Tasks
2016Complete, High-Assurance Determination of Loop Bounds and Infeasible Paths for WCET Analysis

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