Dynamic weighting makes sense if you can guarantee low‑overhead metrics; otherwise you risk turning optimization into a drain. Use a lightweight probe that feeds a rolling average, then adjust the weight in a feedback loop that respects the system’s SLA thresholds. Keep the algorithm simple enough to avoid extra latency, but still aggressive enough to outpace static schedulers. The key is to measure the impact, not just the math.