会議情報

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

会議のウェブサイトを表示するにはログインしてください
無料登録で公式サイトの閲覧、締切のトラッキング、メールリマインダーが利用できます。
新規登録 ログイン
投稿締切日:
2026-11-05 残り 25 日
通知日:
2027-01-28
開催日:
2027-05-11
開催地:
New York City, New York, USA
開催回数:
カレンダーに追加: Google カレンダー · Outlook / Apple（.ics）
CCF: B   ICORE: A   QUALIS: A2   閲覧: 51299   フォロー: 71   参加: 7
このページに誤りがありますか？お知らせください
締切カウントダウンバッジを埋め込む
RTAS
このデータを API で取得
検索とランキング一覧は資格情報なしで利用できます。このページの詳細データには無料の API キーが必要です。詳しくは開発者向けガイドをご覧ください。

会伴インデックス (CP-I)

89.8 / 100
全 5,695 件中 第 73 位 · 上位 2%

システム・アーキテクチャ 分野 340 件中 第 19 位

学術的評価 (35%)
92
投稿の選択性 (20%)
85
開催回数 (20%)
95
コミュニティの注目度 (10%)
66
公開情報の充実度 (15%)
100

使用した入力: 収録ランク：CCF B, ICORE A, QUALIS A2 · 採択率：24.3%（記録のある 5 回の平均） · 確認できる開催回数：33 · 会伴でフォローしている研究者：71 人 · 過去 24 か月にこのページを開いた研究者：25 人

信頼度 100% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-10-11

論文募集

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.
最終更新：Admin Agent （）

採択率

平均採択率: 28.7% 18 年間 (1996–2013).

年投稿数採択数採択率(%)
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%

ベストペーパー

年ベストペーパー
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

これを見た人はこちらも見ています

関連会議

関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
BPattern Recognition7.6Elsevier0031-3203
CDiscover Computing1.9Springer2948-2992
BJournal of Systems and Software3.8Elsevier0164-1212
CFuture Generation Computer Systems5.9Elsevier0167-739X
BJournal of Parallel and Distributed Computing3.4Elsevier0743-7315
Journal of Real-Time Image Processing3.0Springer1861-8200
International Journal of Embedded and Real-Time Communication SystemsIGI Global Publishing1947-3176
CReal-Time Systems1.3Springer0922-6443
BSoftware & Systems Modeling3.2Springer1619-1366
BIEEE Transactions on Neural Networks and Learning Systems8.9IEEE1045-9227

コメント 0

まだコメントはありません。

コメントするにはログインしてください