  This is a project report about how we tune Focus[1], a video inference system
that provides low cost and low latency, through two phases. In this report, we
will decrease the query time by saving the middle layer output of the neural
network. This is a trade-off strategy that involves using more space to save
time. We show how this scheme works using prototype systems, and it saves 20%
of the time. The code repository URL is here, https://github.com/iphyer/CS744
FocousIngestOpt.
