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Improved Bus Contention Analysis for 3-Phase Tasks
Ref: CISTER-TR-230505       Publication Date: 30, Aug to 1, Sep, 2023

Abstract:
The 3-phase task execution model has shown to be a good candidate to tackle the memory bus contention problem. It divides the execution of tasks into computation and memory phases that enable a fine-grained memory bus contention analysis. However, existing works that focus on the bus contention analysis for 3-phase tasks, neglect the fact that memory bus contention strongly relates to the number of bus/memory requests generated by tasks, which, in turn, depends on the content of the cache memories during the execution of those tasks. These existing works assume that the worst-case number of bus/memory requests will be generated during all the memory phases of all tasks, irrespective of the already existing content in the cache memory. This overestimates the memory bus contention of tasks, leading to pessimistic worst-case response time (WCRT) bounds.
This work proposes a holistic approach towards bus contention analysis for 3-phase tasks by (1) deriving an upper bound on the actual cache misses of tasks that lead to bus/memory requests; (2) improving State-of-the-Art (SoA) bus contention analysis of two bus arbitration schemes that dominate all existing works on the bus contention analysis for 3-phase tasks; and (3) performing an extensive experimental evaluation under different settings to compare the proposed analysis against the SoA. Results show that incorporating a tighter bound on the number of cache misses of tasks into the bus contention analysis can lead to a significant improvement in task set schedulability.

Jatin Arora

,

Syed Aftab Rashid

,

Geoffrey Nelissen

,

Cláudio Maia

,

Eduardo Tovar

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