Honestly, I think Agave is overcomplicating things. The central scheduler looks good on paper, but in practice we’re adding overhead for marginal gains. The greedy scheduler is more honest about what the network actually looks like under load. My concern is that we’re optimizing for congestion scenarios that rarely play out the way the models assume.