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A. A. Farvin

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Conference Open access 2025

Energy and Fairness-Aware Task Offloading Using Genetic Algorithm in Multi-Server Mobile Edge Computing

An energy-and fairness-aware task offloading (EFATO) scheme through a GA to achieve the optimal task scheduling and loading within multiple edge servers and a novel fitness function is proposed that combines energy cost, computational delay and fairness index.

V. Sureshkumar, A. A. Farvin, P. R. J. Hariharan et al. · 0 citations