Abstract: To avoid the decision error of single information based flow-aware admission control, four 2D state spaces are established using priority queue length and link fairness rate to describe the information of different link states. According to the flow distribution under different link states, four state spaces are mapped into three integrated decision domains. The integrated decision table based on the integrated decision domain is the decision conditions for proposed admission control algorithm. The formula of blocking probability for real-time flows is derived, and the average throughput for elastic flows obtained. Simulation results show that the proposed algorithm can reduce the delay of real-time flows by 10% and increase the average throughput of elastic flows by 25.75% with approximately 5.44% increase of the blocking probability for real-time flows when overloaded.

Key words: integrated decision domain, dynamical flow awareness, admission control, multi-service networks