To address the dynamic characteristics of data transmission across multiple data centers, enhance the utilization of network resources and the quality of data transmission, and prevent critical data loss, a dynamic priority-based optimization method for grouped scheduling of data transmission paths in multi-data centers is proposed. Based on the IEEE 802.1lp standard, this method categorizes data frames into four access categories according to their importance. It calculates the significance of different categories of data frames and the urgency of transmission tasks to generate a dynamic priority queue for data transmission tasks. On this basis, the transmission probability of data frames with varying priorities is computed. Using the A3C-optimized MPTCP algorithm as the core, the optimal set of transmission paths under different network conditions is determined. By incorporating the minimum round-trip delay algorithm and evaluating path transmission quality, transmission packets are scheduled and allocated within the selected path set, thereby achieving optimized grouped scheduling of data transmission paths for multi-data centers. Test results demonstrate that the proposed method effectively calculates data frame priorities and transmission task urgency, generating a prioritized data transmission queue for the data center. After scheduling optimization, the average link utilization exceeds 0.933; the data transmission rate remains above 685.5 kB/s under various network conditions, and the bandwidth utilization reaches above 88.66%.
Lv et al. (Sun,) studied this question.
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