Intelligent policy recommendation can achieve network-level load balancing.

The statement is true. Intelligent policy recommendation does not consider only the traffic load of an individual interface or device. iMaster NCE-Campus obtains network topology, application, link-quality, bandwidth-utilization, and traffic-distribution information from multiple devices. It can then recommend or orchestrate policies that distribute traffic across the network’s available paths and resources.

For example, when multiple WAN links have the same priority and satisfy an application’s SLA requirements, per-flow load balancing can distribute different application flows among those links. Bandwidth-proportional balancing can also account for differences in link capacity, preventing a lower-bandwidth link from being overloaded. Huawei explains that load-balancing-based traffic steering can fully utilize multiple links and distribute flows across links meeting the required SLA.

Because iMaster NCE-Campus centrally manages CPEs and uniformly orchestrates service intent across the overlay network, recommendations can be evaluated from a network-wide perspective instead of through isolated local decisions. Therefore, intelligent policy recommendation can implement network-level load balancing.

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