RTSS 2026

Submission timeline

• 21 May 2026 Abstract registration AoE
• 26 May 2026 Full paper AoE
• 25 Jul 2026 Notification

• 9 Dec 2026 Conference opens

No extension: checked and confirmed.

What to submit

Format

11 pages IEEE 2 columns (+ bibliography)

Proceedings

IEEE — Paywalled

Rebuttal

13 Jul 2026 to 17 Jul 2026

Awards

Outstanding papers will be highlighted in the proceedings. Awards: Best Paper, Best Student Paper, Best Presentation.

Chairs and
invited speakers

Mixed genders How this is counted

Call for papers

• As first published RTSS-2026.txt · TXT · shown below

The call, as published

Reproduced verbatim from the organisers’ announcement. The conference’s own page is at 2026.rtss.org/.

The 47th IEEE Real-Time Systems Symposium (RTSS 2026) will be held on December 9-11, 2026 in Yokohama, Japan.
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  Important Dates
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  - Abstract Submission Deadline: May 21, 2026 (firm)
  - Paper Submission Deadline: May 26, 2026 (firm)
  - Hot Topic Day: December 8, 2026
  - Conference: December 9-11, 2026
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  Scope of the Conference
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RTSS is the premier conference in the field of real-time systems, covering theory, design, analysis, implementation, verification, evaluation, and practical experience.
The 47th edition (RTSS'26) will be held in Yokohama, Japan, and embraces both well-established topics and bold, emerging directions in real-time systems research.

[Timing Requirements]
All submissions must explicitly address some form of real-time requirement / constraint. Examples include deadlines, response-time bounds, tail-latency thresholds in SLAs, and statistical/stochastic notions of timeliness.
Other forms may be in scope if the submission justifies that the problem requires nontrivial resource allocation, programming, scheduling, or design to satisfy timing-predictability requirements.
Improving average-case performance alone is NOT in scope.
Improving average-case performance while ensuring that worst-case latency or execution-time variability is not made worse IS in scope.

Emerging topics especially welcome:
  - ML techniques for design/analysis of real-time systems
  - System design for real-time machine learning
  - Resource management in autonomous systems
  - Real-time use of domain-specific accelerators
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  Submission Policies
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- Use of Generative AI: follow the IEEE TCRTS Transparency   policy ("Responsible Use of Generative-AI").
- Double-blind review: RTSS follows the IEEE TCRTS Double-Anonymous Submission Requirements (since 2019).
- Empirical survey-based research is welcome (surveys, questionnaires, interviews, use cases). Pure literature surveys are NOT in scope.
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  Proceedings and Awards
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- All accepted papers appear in the proceedings, provided they are presented live at the conference.
- Outstanding papers will be highlighted in the proceedings.
- Awards: Best Paper, Best Student Paper, Best Presentation.
- Best Student Paper eligibility: first author must be a student at the submission deadline.
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  Tracks
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  Track 1: Real-Time Systems and Foundations
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Focus: practical and theoretical foundations enabling predictable timing in computing systems.
[Practical and Theoretical Foundations]
  - RTOS components (kernels, hypervisors, middleware, runtime environments)
  - Schedulability analysis and scheduling algorithms
  - Theoretical foundations and verification methods
  - Timing analysis (WCET, MBTA)
  - Real-time and time-sensitive networking
  - Timing-predictable hardware (general principles; domain-specific solutions belong to Track 2)
  - Stochastic real-time systems modeling and analysis
  - Statistical/empirical approaches to predictability
  - Fault tolerance and security w.r.t. timing guarantees (e.g., timing side-channels, secure TSN)
  - Cross-layer timing predictability (HW/OS/application)
  - Compiler techniques, system synthesis, model-driven engineering, applied formal methods (model checking, proof-based verification)
  - Experimental designs, case studies, experience reports

[AI for Real-Time Systems Foundations]
Use of ML/AI to advance real-time scheduling, timing analysis, resource management, and system optimization under timing constraints.
NOTE: Track 1 covers "AI for real-time systems."
The converse, "real-time systems for AI," is in Track 2.

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  Track 2: Design and Applications
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Focus: real-time requirements as an integral part of a larger system or objective; how foundational tools are adapted, extended, and applied to specific domains.
[Cyber-Physical Systems]
  - Theoretical foundations of CPS
  - Design methodologies, simulation/emulation, tool chains
  - CPS architectures
  - Secure CPS and CPS for security
  - Performance analysis and robustness
  - Safety and certification
  - Hardware/software co-design

[Real-Time System Design for AI]
  - Deployment of perception/planning/decision-making under latency and resource constraints
  - System design, frameworks, resource management
  - Hardware acceleration
  - Case studies of real-time AI in safety-critical apps
  - AI safety in CPS: V&V of learning-enabled components, runtime monitoring, safe exploration, explainability, robustness under uncertainty

[HW-SW Integration and System-Level Design]
  - Architecture description languages and tools
  - Hardware architectures, DSE, synthesis, optimization
  - SoC design for real-time workloads (special-purpose units, custom memory hierarchies, multicore, NoC)
  - FPGA-based simulation and prototyping
  - SW simulation/compilation for emerging architectures
  - Power, thermal, timing, and predictability analysis
  - Emerging: RISC-V platforms, AI/ML accelerators, chiplet-based design

[Internet of Things]
  - Real-time capabilities under extreme resource limits
  - Distributed sensing and control
  - Reliable communication, low-latency processing
  - Edge / fog computing, AI-at-the-edge
  - Smart cities, industrial IoT, smart healthcare, mission-critical deployments
  - 5G/6G for URLLC, in-network computing/offloading under timing constraints

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Yours sincerely,
RTSS 2026 organizing committee