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.

智能应用和计算与网络融合的最新进展推动了计算和网络融合系统的发展。然而，现有研究未能实现对计算和网络资源的全面调度优化，从而导致一些计算请求的要求无法在端到端服务模式中得到保证，对计算和网络融合系统的发展产生负面影响。本文提出了一种分布式协作路由框架，用于计算和网络融合系统，以确保截止日期要求并最小化请求的计算成本。该框架包括交易平面、管理平面、控制平面和转发平面。交叉平面协作端到端路由方案在制定路由计划时考虑了异构服务器的计算效率和网络拥塞程度，从而确定在哪里执行请求和对应的路由路径。仿真结果证实了我们的路由方案在计算和网络融合系统中调度计算请求的性能。