Hierarchical Queue Management Priority and Balancing Based Method under the Interaction Prediction Principle

This work is devoted to improving a two-level hierarchical queue management method based on priority and balancing under the interaction prediction principle. The lower level of calculations was connected with problem optimization solution responsible for two tasks. Firstly, packet flow aggregation distribution among macro-queues sub-queues organized router interface must solve congestion problem. Secondly, resource allocation related balanced bandwidth sub-queues, which were weighted relative their priorities traffic-engineering queues. method’s lower-level functions recommended be placed set processors routing device servicing packets individual macro-queues. At same time, processor coordinator could perform upper-level calculations, providing numerical research results proposed confirmed its effectiveness in ensuring high scalability. Balanced, priority-based implemented. In addition, time reduced solving tasks management. demonstrated convergence coordination procedure quality centralized calculations. approach can used various embedded systems.