  There is an obvious trend that more and more data and computation are
migrating into networks nowadays. Combining mature virtualization technologies
with service-centric net- working, we are entering into an era where countless
services reside in an ISP network to provide low-latency access. Such services
are often computation intensive and are dynamically created and destroyed on
demands everywhere in the network to perform various tasks. Consequently, these
ephemeral in-network services introduce a new type of congestion in the network
which we refer to as "computation congestion". The service load need to be
effectively distributed on different nodes in order to maintain the
funtionality and responsiveness of the network, which calls for a new design
rather than reusing the centralised scheduler designed for cloud-based
services. In this paper, we study both passive and proactive control
strategies, based on the proactive control we further propose a fully
distributed solution which is low complexity, adaptive, and responsive to
network dynamics.
