  The importance of intelligent data placement, management, and analysis has
become apparent as scientific data volumes across the network continue to
increase. To that end, we describe the use of in-network caching service
deployments as a means to improve application performance and preserve
available network bandwidth in a high energy physics data distribution
environment. Details of the software and hardware deployments, performance
considerations, and cache usage analysis will be described. We include thoughts
on possible future deployment models involving caching node installations at
the edge along with methods to scale our approach.
