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ISORC 2026: International Symposium on Real-time Distributed Computing

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ISORC
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投稿締切日:
2026-02-24
通知日:
2026-03-24
開催日:
2026-05-27
開催地:
Hamilton, Ontario, Canada
開催回数:
29
ICORE: C   QUALIS: B1   閲覧: 45312   フォロー: 10   参加: 3

会伴インデックス (CP-I)

64.4 / 100
全 5,682 件中 第 451 位 · 上位 8%

システム・アーキテクチャ 分野 341 件中 第 77 位

学術的評価 (35%)
78
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
92
コミュニティの注目度 (10%)
35
公開情報の充実度 (15%)
35

使用した入力: 収録ランク：ICORE C, QUALIS B1 · 確認できる開催回数：29 · 会伴でフォローしている研究者：10 人 · 過去 24 か月にこのページを開いた研究者：4 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 過去の開催回 (+3.0) · 最優秀論文の記録 (+2.3)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 80% — 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 2026-09-18

論文募集

ISORC 2026 (International Symposium on Real-time Distributed Computing) is a ICORE C / QUALIS B1 conference held in Hamilton, Ontario, Canada on 2026-05-27. The paper submission deadline is 2026-02-24. Acceptance notifications are sent on 2026-03-24.

IEEE ISORC was founded in 1998 (with its first meeting in Kyoto, Japan) to address research into the application of real-time object-oriented distributed technology. Since then, ISORC has continually evolved to meet the latest challenges faced by researchers and practitioners in the real-time domain, with an emphasis on object-, component- and service-oriented systems and solutions. ISORC is a single-track and single-blind conference, with a lively community. We seek to encourage diverse views and new approaches to all real-time issues and challenges for novel applications and systems in RT computing issues. For our 29th symposium, we are meeting in Hamilton, The Waterfall Capital of the World. Located in Ontario (Canada) on the Niagara escarpment, McMaster University will host this edition from May 27 - 29, 2026. Main Theme and Topics This year’s theme is the evolution of Architectures for Next Generation Critical Real-Time and Distributed Systems. On the one hand Electrical and Electronic (E/E) Architectures for automotive and aerospace vehicles are trending towards greater integration and centralization while complex systems of systems such as Smart Grid and Vehicle to Vehicle and Vehicle to Infrastructure are increasingly distributed and decentralized with edge compute. As a result, long established systems and software development paradigms and supplier relationships are changing, creating new challenges for industry and researchers that are compounded by the increasing adoption of AI/ML components and workflow. We solicit high-quality papers pertaining to all aspects of ORC technology that consider performance, dependability, scalability, reliability, among other properties and those that are well aligned with the 2025 theme. Authors are encouraged to consider submissions with a practical orientation and validation related to Case Studies & Applications in this area. The specific ORC focus areas include, but are not limited to: Hardware & Software architectures for real-time distributed computing: Programming paradigms, ORC paradigms, object/component models, languages, synchronous languages, microservices architectures, soft, hard, performance-aware, distributed, aspects of real-time computing, service-oriented architectures, scalability, performance, event-driven, safety, reliability, middleware, patterns and practices, etc. Distributed real time computing and communication infrastructures: Real-time communications, networked platforms, protocols, Internet QoS, peer-to-peer computing, sensor networks, vehicle to vehicle and vehicle to infrastructure communications, time-predictable systems and hardware, Time Sensitive Networking, digital twin for real-time data processing, blockchain, distributed ledger technology, federated learning, TinyML, and EdgeAI for real-time IoT, trusted and dependable systems, complex systems of systems, model maintenance. Dependability, Fault tolerance, and Resilience of Distributed and Real-Time Computing: Fault tolerance, fault detection and recovery, fault injection testing, self-healing, failover, redundancy, high availability, safety, reliability, autonomic reconfiguration, autonomic resilience, formal verification, DevOps for distributed and real-time systems. Algorithms for Distributed and/or Real-Time Analytics: Real-time stream processing, clustering, classification, mining and inferencing, and statistical modeling, digital twins and predictive analytics, stream correlation and sampling, dynamic scheduling, complex event-processing, time-series and TimeFM analysis. System software: Real-time kernels, operating systems, virtualization/containerization, middleware for ORC, QoS management and performance, decentralized processing, scalability, extensibility, synchronization, resource allocation, scheduling, energy efficiency, timing analysis, fault tolerance and resilience, cyber security, etc. Distributed and Real-Time Applications: Medical devices, intelligent transportation systems, Industry 4.0, Internet of Things and smart grids, embedded and cyber-physical systems, multimedia processing, real-time web-based applications, QoS aware and real-time cloud/edge/fog computing, network slicing, decentralized real-time data network, digital twins, time-sensitive social dispersed computing. System evaluation: monitoring mechanisms & infrastructures, performance & timing evaluation, dependability, end-to-end QoS, system/infrastructure overheads, fault detection and recovery time, large-scale evaluations and field studies.
最終更新：Dou Sun（）

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