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. 2025 Nov 13;8:1685155. doi: 10.3389/frai.2025.1685155

Table 2.

Performance metrics for evaluating DQL in SDN.

Metric Description Significance Example findings/references
Throughput Total data successfully delivered over time Reflects link utilization and efficiency DQL improved throughput by 18–22% vs. ECMP (Fu et al., 2020)
Packet Loss Rate % of packets dropped due to congestion or link failure Indicates network reliability Loss reduced by ~15% under mixed workloads (Zhang et al., 2023)
Avg. End-to-End Delay Time for a packet to travel from source to destination Critical for real-time and QoS-sensitive apps Temporal DQL cut delay by ~12% (Sharma et al., 2024)
Convergence Time Time required for DQL to learn a stable routing policy Demonstrates learning efficiency DRL-R converged 30% faster than Q-learning (Liu et al., 2021)