3 papers
cs.OS2025
Accelerating Probabilistic Response-Time Analysis: Revised Critical Instant and Optimized Convolution
Hiroto Takahashi, Atsushi Yano, Takuya Azumi
Accurate estimation of the Worst-Case Deadline Failure Probability (WCDFP) has attracted growing attention as a means to provide safety assurances in complex systems such as roboti…
stat.ML2025
Generalized Inequality-based Approach for Probabilistic WCET Estimation
Hayate Toba, Atsushi Yano, Takuya Azumi
Estimating the probabilistic Worst-Case Execution Time (pWCET) is essential for ensuring the timing correctness of real-time applications, such as in robot IoT systems and autonomo…
eess.SY2025
Partitioned Scheduling for DAG Tasks Considering Probabilistic Execution Time
Fuma Omori, Atsushi Yano, Takuya Azumi
Autonomous driving systems, critical for safety, require real-time guarantees and can be modeled as DAGs. Their acceleration features, such as caches and pipelining, often result i…