Abstract: This disclosure describes techniques for improving routing policy awareness in a network. The method includes detecting, by a controller, an application initiated for use at an edge node of a network. Then, generating, by an analytics engine coupled to the controller, analytical data of traffic flow at the edge node of the network wherein the traffic flow is in accordance with a routing policy for routing traffic associated with the application. Further, routing of the traffic through a path from one or more paths configured at the edge node that is in accordance with at least a Service Level Agreement (SLA) for traffic flow. Also, in response to an SLA violation during routing of the traffic, causing an action, by the controller, of routing traffic flow through another path that is in accordance with at least the SLA for traffic flow based on analytical data received of the traffic flow.

Abstract: Techniques and architecture are described for a pull model for obtaining and implementing config changes on network devices are described herein. A user submits intent configuration to the network controller that needs to be delivered to several network sites. The network controller generates a config file. The network controller sends a pull notification message to all network devices that need to retrieve the config file. This pull notification message only contains a corresponding transaction ID for each network device and a location for the network device to use to pull the config file. The network devices may utilize a HTTP REST API exposed by the network controller to obtain the config file from the network controller. The network devices may utilize a REST API exposed by the network controller to reply with statuses of the configuration transaction. The techniques and architecture may be applied to multi-tenant network devices.

Abstract: Methods for correcting errors in a GFP-T superblock include buffering the 64 bytes of data in an 8×8 byte buffer, buffering the flag byte in a separate buffer, calculating the CRC remainder, and performing single and double bit error correction in three stages. In the first stage, the CRC remainder is compared to a single bit error syndrome table and if an error is located, it is corrected. In the second stage, the CRC remainder is compared to a double bit error syndrome table and if an error is located, it is corrected. The third stage corrects the second error of a double bit error. The flag byte is processed first, followed by the data bytes, eight bytes at a time.

Abstract: Methods for correcting errors in a GFP-T superblock include buffering the 64 bytes of data in an 8×8 byte buffer, buffering the flag byte in a separate buffer, calculating the CRC remainder, and performing single and double bit error correction in three stages. In the first stage, the CRC remainder is compared to a single bit error syndrome table and if an error is located, it is corrected. In the second stage, the CRC remainder is compared to a double bit error syndrome table and if an error is located, it is corrected. The third stage corrects the second error of a double bit error. The flag byte is processed first, followed by the data bytes, eight bytes at a time.