  This paper considers networks where user traffic is regulated through
deterministic traffic profiles, e.g., token buckets, and requires hard delay
bounds. The network's goal is to minimize the resources it needs to meet those
bounds. The paper explores how reprofiling, i.e., proactively modifying how
user traffic enters the network, can be of benefit. Reprofiling produces
``smoother'' flows but introduces an up-front access delay that forces tighter
network delays. The paper explores this trade-off and demonstrates that, unlike
what holds in the single-hop case, reprofiling can be of benefit} even when
``optimal'' schedulers are available at each hop.
