Abstract: The traditional traffic control method can not automatically adjust the constraint rules, which leads to a large bandwidth loss rate when facing different traffic density. Therefore, based on the envelope feature, a new adaptive traffic control method for IDC network is studied. This method constructs the IDC network flow energy consumption model, extracts the envelope characteristics, obtains the flow spatial distribution state and sets the regulation adaptive constraint rules according to the network internal information flow direction, and applies the BP neural network to improve realization of the IDC network adaptive flow regulation. Experimental results show that under the conditions of random20, random40 and random60, the throughput and bandwidth loss rate of the proposed method are high, and it is suitable to control the adaptive traffic of IDC network.

Key words: envelope feature, IDC network traffic, adaptive control, throughput, bandwidth loss rate