高可扩展性数据中心多对一通信拥塞控制方法OA

In scenarios where numerous senders communicate with a single receiver,data is consolidated from vari-ous origins into one recipient.The receiver's handling of multiple data streams cannot swiftly complete the communi-cation process,leading to network congestion and severe problems that negatively impact the data center's perfor-mance and scalability.To ensure prompt responses and manage network congestion efficiently,this paper proposes a multi-to-one communication congestion control method tailored for highly scalable data center.By examining the congestion mechanisms in data center's many to one communication,the priority of data packets was established based on their type,originating node,and the geographic location of the forwarding node,thus determining the se-quence of congestion control.This enhanced the precision of congestion management and the overall efficiency of communication.Real-time monitoring of buffer queue occupancy dynamically assesses network communication con-gestion.Upon detecting congestion,a probability function and Lagrange multiplier technique are applied to optimize the size of communication ports,ensuring resources are allocated rationally and efficiently.In addition,the first-order derivative method was employed to calculate the optimal number of connection lines at the receiving end,opti-mizing the data transmission path and further diminishing the likelihood of congestion.Experimental outcomes dem-onstrate that the suggested approach effectively mitigates the risk of network communication congestion and maintains a low packet loss rate.