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Correctness and cleanup in the offloading algorithm (same file).
Tasks
device_only_evaluation adds a network cost (layer_data_size / avg_speed) even though a fully-local inference transmits no intermediate data; this can distort the comparison between strategies. While here, review the asymmetry with edge_only, which uses a 0 network cost and does not model sending the input to the edge.
Move import itertools out of the hot-path method mixed_computation_evaluation to module top-level.
Files
src/server/offloading_algo/offloading_algo.py
From the Feature 042 codebase review (recommendations #8, #7).
Priority: Medium
Correctness and cleanup in the offloading algorithm (same file).
Tasks
device_only_evaluationadds a network cost (layer_data_size / avg_speed) even though a fully-local inference transmits no intermediate data; this can distort the comparison between strategies. While here, review the asymmetry withedge_only, which uses a0network cost and does not model sending the input to the edge.import itertoolsout of the hot-path methodmixed_computation_evaluationto module top-level.Files
src/server/offloading_algo/offloading_algo.pyFrom the Feature 042 codebase review (recommendations #8, #7).