  Networking data analytics is increasingly used for enhanced network
visibility and controllability. We draw the similarities between the Software
Defined Networking (SDN) architecture and the MapReduce programming model.
Inspired by the similarity, we suggest the necessary data plane innovations to
make network data plane devices function as distributed mappers and optionally,
reducers. A streaming network data MapReduce architecture can therefore
conveniently solve a series of network monitoring and management problems.
Unlike the traditional networking data analytical system, our proposed system
embeds the data analytics engine directly in the network infrastructure. The
affinity leads to a concise system architecture and better cost performance
ratio. On top of this architecture, we propose a general MapReduce-like
programming model for real-time and one-pass networking data analytics, which
involves joint in-network and out-of-network computing. We show this model can
address a wide range of interactive queries from various network applications.
This position paper strives to make a point that the white-box trend does not
necessarily lead to simple and dumb networking devices. Rather, the defining
characteristics of the next generation white-box are open and programmable, so
that the network devices can be made smart and versatile to support new
services and applications.
