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              <p>Embedded systems are experiencing an increasingdemand for computational power. A commonly adopted solutionto meet this demand involves deploying both critical and non-critical tasks on a single multicore processor. Nevertheless, theintricacy of such processors induces nondeterminism, posingpotential risks to the dependability of the system. This becomesparticularly pertinent in safety-critical real-time applicationswhere temporal faults could lead to missed deadlines for high-criticality tasks. Emerging technologies like Intel’s Cache Al-location Technology (CAT) are designed to diminish the non-determinism instigated by shared cache memory in multicoresystems, by enabling dynamic cache memory allocation. In thispaper, we introduce an experimental methodology to gauge theefficacy of such technology in a real-time setting. We investigatethe possibility of leveraging dynamic cache memory allocation toensure high-criticality tasks meet their deadlines while optimizingthe performance of non-critical tasks. Our proposed methodologyinvolves an exhaustive analysis of the trade-offs between variousparameters in a mixed-criticality application. The effectivenessof this approach is substantiated through a sensitivity analysison a practical use case.</p>
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