A Framework for Multi-core Schedulability Analysis Accounting for Resource Stress and Sensitivity

TY - JOUR

T1 - A Framework for Multi-core Schedulability Analysis Accounting for Resource Stress and Sensitivity

AU - Davis, Robert Ian

AU - Griffin, David Jack

AU - Bate, Iain John

PY - 2022/2/19

Y1 - 2022/2/19

N2 - Timing verification of multi-core systems is complicated by contention for shared hardware resources between co-running tasks on different cores. This paper introduces the Multi-core Resource Stress and Sensitivity (MRSS) task model that characterizes how much stress each task places on resources and how much it is sensitive to such resource stress. This model facilitates a separation of concerns, thus retaining the advantages of the traditional two-step approach to timing verification (i.e. timing analysis followed by schedulability analysis). Response time analysis is derived for the MRSS task model, providing efficient context-dependent and context independent schedulability tests for both fixed priority preemptive and fixed priority non-preemptive scheduling. Dominance relations are derived between the tests, along with complexity results, and proofs of optimal priority assignment policies. The MRSS task model is underpinned by a proof-of-concept industrial case study. The problem of task allocation is considered in the context of the MRSS task model, with Simulated Annealing shown to provide an effective solution.

AB - Timing verification of multi-core systems is complicated by contention for shared hardware resources between co-running tasks on different cores. This paper introduces the Multi-core Resource Stress and Sensitivity (MRSS) task model that characterizes how much stress each task places on resources and how much it is sensitive to such resource stress. This model facilitates a separation of concerns, thus retaining the advantages of the traditional two-step approach to timing verification (i.e. timing analysis followed by schedulability analysis). Response time analysis is derived for the MRSS task model, providing efficient context-dependent and context independent schedulability tests for both fixed priority preemptive and fixed priority non-preemptive scheduling. Dominance relations are derived between the tests, along with complexity results, and proofs of optimal priority assignment policies. The MRSS task model is underpinned by a proof-of-concept industrial case study. The problem of task allocation is considered in the context of the MRSS task model, with Simulated Annealing shown to provide an effective solution.

KW - real-time

KW - multi-core

KW - schedulability analysis

KW - interference

KW - cross-core contention

UR - https://www-users.cs.york.ac.uk/~robdavis/

U2 - 10.1007/s11241-022-09377-8

DO - 10.1007/s11241-022-09377-8

M3 - Article

SN - 0922-6443

JO - Real-Time Systems

JF - Real-Time Systems

ER -