Fig 1 - uploaded by Minghao Ye
Content may be subject to copyright.
An illustrative example of CFR-RL rerouting procedure. Each link capability equal to 1. Best viewed in color.
Source publication
Traditional Traffic Engineering (TE) solutions can achieve the optimal or near-optimal performance by rerouting as many flows as possible. However, they do not usually consider the negative impact, such as packet out of order, when frequently rerouting flows in the network. To mitigate the impact of network disturbance, one promising TE solution is...
Contexts in source publication
Context 1
... that the flow entries at the switches for the critical flows selected in the previous period will time out, and the flows would be routed by either default ECMP routing or newly installed flow entries in the current period. Figure 1 shows an illustrative example. CFR-RL reroutes the flow from S0 to S4 to balance link load by installing forwarding entries at the corresponding switches along the SDN path. ...
Context 2
... 8 and 9 show the full CDFs of two types of performance ratio for these 4 days. Figures 10 and 11 show the load balancing and end-to-end delay performance ratios on each traffic matrix of these 4 days, respectively. The results show that CFR-RL still achieves above 95% optimal load balancing performance and average 88.13% end-to-end delay performance, and thus outperforms other schemes on almost all traffic matrices. ...
Context 3
... updating the selection policy. This self-learning technique will enable CFR-RL to further adapt itself to the dynamic conditions in the network after being deployed in real networks. CFR-RL can be retrained by including new traffic matrices. For example, the outlier traffic matrices (e.g., the 235th-240th traffic matrices in Day 2) presented in Fig. 10 should be included for retraining, while the generalization results shown in Section VI-B3 suggest that retraining frequently might not be necessary. Techniques to determine when to retrain and which new/old traffic matrix should be included/excluded in/from the training dataset should be further ...
Context 4
... that the flow entries at the switches for the critical flows selected in the previous period will time out, and the flows would be routed by either default ECMP routing or newly installed flow entries in the current period. Figure 1 shows an illustrative example. CFR-RL reroutes the flow from S0 to S4 to balance link load by installing forwarding entries at the corresponding switches along the SDN path. ...
Context 5
... 8 and 9 show the full CDFs of two types of performance ratio for these 4 days. Figures 10 and 11 show the load balancing and end-to-end delay performance ratios on each traffic matrix of these 4 days, respectively. The results show that CFR-RL still achieves above 95% optimal load balancing performance and average 88.13% end-to-end delay performance, and thus outperforms other schemes on almost all traffic matrices. ...
Context 6
... updating the selection policy. This self-learning technique will enable CFR-RL to further adapt itself to the dynamic conditions in the network after being deployed in real networks. CFR-RL can be retrained by including new traffic matrices. For example, the outlier traffic matrices (e.g., the 235th-240th traffic matrices in Day 2) presented in Fig. 10 should be included for retraining, while the generalization results shown in Section VI-B3 suggest that retraining frequently might not be necessary. Techniques to determine when to retrain and which new/old traffic matrix should be included/excluded in/from the training dataset should be further ...
Similar publications
Network Function Virtualization (NFV) is an approach that provides a network service provider with agility and cost-efficiency in managing 6G network services. Standard traffic engineering rules are known limited in assuring a very stringent delay requirement in NFV when a traffic flow is required to follow a sequence of network functions scattered...
