  The emergence of intelligent applications and recent advances in the fields
of computing and networks are driving the development of computing and networks
convergence (CNC) system. However, existing researches failed to achieve
comprehensive scheduling optimization of computing and network resources. This
shortfall results in some requirements of computing requests unable to be
guaranteed in an end-to-end service pattern, negatively impacting the
development of CNC systems. In this article, we propose a distributed
cooperative routing framework for the CNC system to ensure the deadline
requirements and minimize the computation cost of requests. The framework
includes trading plane, management plane, control plane and forwarding plane.
The cross-plane cooperative end-to-end routing schemes consider both
computation efficiency of heterogeneous servers and the network congestion
degrees while making routing plan, thereby determining where to execute
requests and corresponding routing paths. Simulations results substantiates the
performance of our routing schemes in scheduling computing requests in the CNC
system.
