Shared Resource Contention Aware Schedulability Analysis for Multiprocessor Real-Time Systems
Ref: CISTER-TR-221202 Publication Date: 17 to 19, Apr, 2023
Shared Resource Contention Aware Schedulability Analysis for Multiprocessor Real-Time Systems
Ref: CISTER-TR-221202 Publication Date: 17 to 19, Apr, 2023Abstract:
Multicore platforms share the hardware resources such as caches, interconnects, and main memory among all the cores. Due to such sharing, tasks running on different cores compete to access these shared resources which can potentially result in shared resource contention. This shared resource contention can increase the execution times of tasks in a non-deterministic manner. Consequently, the shared resource contention is problematic for hard real-time systems, i.e., systems that run tasks with stringent timing requirements. To address this issue, this PhD dissertation builds novel solutions to model and analyze the shared resource contention that can be suffered by tasks executing on a multicore system. The shared resource contention aware schedulability analysis is then derived by integrating the maximum shared resource contention that can be suffered by the tasks.
Jatin Arora
Eduardo Tovar
Cláudio MaiaDocument:
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Design, Automation and Test in Europe Conference (DATE 2023), PhD Forum.
Antwerp, Belgium.
Record Date: 22, Dec, 2022