Abstract:
Techniques and architecture are described grouping various sources of traffic within a network into grouping fields and assigning each combination of grouping field values an aggregate identification (ID). A first hop edge router may receive a packet and search a mapping table for a corresponding aggregate ID for the combination of grouping field values within the mapping table. If not found, the first hop edge router may assign a corresponding aggregate ID for the combination of grouping field values and store the new aggregate ID for the combination of grouping field values in the mapping table. The first hop edge router may forward the packet on through the network with the aggregate ID embedded in metadata. Routers within the network may measure and aggregate flow metrics of the packet within the network based on the aggregate ID and provide the measurements to the network controller.
Abstract:
According to certain embodiments, a system comprises one or more processors and one or more computer-readable non-transitory storage media comprising instructions that, when executed by the one or more processors, cause one or more components of the system to perform operations. The operations comprise sending data from a hub to a spoke and receiving feedback from the spoke at the hub. The feedback is based on at least one of bandwidth utilization or occurrence of a congestion state detected by the spoke. The operations further comprise adjusting a shaper rate of an adaptive Quality of Service (QoS) shaper based at least in part on the feedback received from the spoke.
Abstract:
In one embodiment, a method includes determining, by a first network component, a sender shaper drop value based on the following: a maximum sequence number; a minimum sequence number; and a sender sequence counter number associated with the first network component. The method also includes determining, by the first network component, a wide area network (WAN) link drop value based on the sender sequence counter number associated with the first network component and a receiver sequence counter number associated with a second network component. The method further includes determining, by the first network component, whether to adjust a sender shaper rate based on the sender shaper drop value and the WAN link drop value.
Abstract:
Techniques described herein can enable proactive congestion notifications based on service level agreement (SLA) thresholds. The disclosed techniques can be performed at a network router device. The router can monitor network traffic performance measurements of network traffic associated with an SLA. The SLA can be associated with an SLA policy, and the SLA policy can comprise performance thresholds such as loss/latency/jitter thresholds, and a congestion notification policy. The congestion notification policy can comprise a portion, e.g., a fraction or percentage, applicable to the performance thresholds to determine congestion notification thresholds. The router can send a congestion notification in response to a network traffic performance measurement exceeding a congestion notification threshold.
Abstract:
In one embodiment, a method includes determining, by a first network component, a sender shaper drop value based on the following: a maximum sequence number; a minimum sequence number; and a sender sequence counter number associated with the first network component. The method also includes determining, by the first network component, a wide area network (WAN) link drop value based on the sender sequence counter number associated with the first network component and a receiver sequence counter number associated with a second network component. The method further includes determining, by the first network component, whether to adjust a sender shaper rate based on the sender shaper drop value and the WAN link drop value.
Abstract:
In one embodiment, a method includes determining, by a first network component, a sender shaper drop value based on the following: a maximum sequence number; a minimum sequence number; and a sender sequence counter number associated with the first network component. The method also includes determining, by the first network component, a wide area network (WAN) link drop value based on the sender sequence counter number associated with the first network component and a receiver sequence counter number associated with a second network component. The method further includes determining, by the first network component, whether to adjust a sender shaper rate based on the sender shaper drop value and the WAN link drop value.
Abstract:
In response to receiving one or more packets from an interface, an anchoring border router classifies the traffic flow and either transmits the packets based upon the routing control table as usual, or determines that the packets of the traffic flow are to be forwarded to a forwarding border router. Upon determining that the packets are to be forwarded, the packets are encapsulated with a routing encapsulation key corresponding to a routing path and are forwarded from the anchoring border router to the forwarding border router via a routing encapsulation tunnel. When a forwarding border router receives the redirected packets over the routing encapsulation tunnel, the forwarding border router removes the routing encapsulation key from the packets of the traffic flow and transmits the packets via a routing path corresponding to the routing encapsulation key.
Abstract:
Aspects of the present disclosure are directed to dynamic adjustment of load-balancing weights across multiple network transport interfaces in a network, informed in part by Quality of Service (QoS) metrics. In one aspect, a method includes determining one or more metrics based on one or more Software-defined Wide Area Network (SDWAN) session level throughput and SDWAN session loss through one or more tunnels; generating a Quality of Service (QoS) SDWAN session level shape rate per tunnel based on the one or more metrics; and dynamically adjusting an SDWAN forwarding load-balance weight for each of the one or more tunnels based on the QoS SDWAN session level shape rate.
Abstract:
This disclosure describes techniques and mechanisms for intelligently sampling packet flows within a network. The techniques enable the sampling of a limited set of packet flows that show greatest amount of information about the network from the packet flows in order to provide the greatest insight on application performance, network packet, and critical events within the network. Additionally, the techniques provide configurable parameters, such that the techniques are customizable for each user's network.
Abstract:
In response to receiving one or more packets from an interface, an anchoring border router classifies the traffic flow and either transmits the packets based upon the routing control table as usual, or determines that the packets of the traffic flow are to be forwarded to a forwarding border router. Upon determining that the packets are to be forwarded, the packets are encapsulated with a routing encapsulation key corresponding to a routing path and are forwarded from the anchoring border router to the forwarding border router via a routing encapsulation tunnel. When a forwarding border router receives the redirected packets over the routing encapsulation tunnel, the forwarding border router removes the routing encapsulation key from the packets of the traffic flow and transmits the packets via a routing path corresponding to the routing encapsulation key.