Heterogeneous multi-core processors (HMP) are dual-objective hardware platforms which integrate both high-performance and low power consumption processors. Investigation of simultaneous fairness and energy efciency could widen their applicability and reveal their strengths. This paper proposes a scheduling framework considering energy efciency, shared resource contention, and fairness for heterogeneous multi-core processors. The presented framework is implemented and evaluated on a real HMP platform. The obtained experimental results via SPEC CPU2006 benchmark indicate that the proposed framework surpasses Linux and four other schedulers in terms of fairness (58% on average) and energy efciency (37% on average). The source code of the proposed framework and the opponent algorithms are available online at https://github.com/baghers/CEEF.

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