光网算用一体化调度平台架构与优化OA

With the rapid iteration of Artificial Intelligence(AI)large models and the evolution of wide-area intelligent computing networks,the traditional single computing-optical synergy architecture can no longer meet the stringent requirements of large model training and inference for full-link resource coordination across the"optical-network-computing-application"continuum.Focusing on this core challenge,this paper conducts research on the key technologies and implementation approaches of optical-augmented computing,and designs an integrated optical-network-computing-application scheduling platform scheme based on Optical Circuit Switching(OCS).A five-layer integrated architecture consisting of the adaptation layer,perception layer,control layer,service layer,and full-chain simulation layer is constructed,forming a closed-loop scheduling mechanism of"perception-decision-execution".This scheme can effectively support the differentiated demands of diverse AI services and facilitate the construction of an efficient and reliable wide-area intelligent computing network ecosystem.