A network interface controller (NIC) capable of facilitating efficient memory address translation is provided. The NIC can be equipped with a host interface, a cache, and an address translation unit (ATU). During operation, the ATU can determine an operating mode. The operating mode can indicate whether the ATU is to perform a memory address translation at the NIC. The ATU can then determine whether a memory address indicated in the memory access request is available in the cache. If the memory address is not available in the cache, the ATU can perform an operation on the memory address based on the operating mode.

Systems and methods of routing a data communication across a network having a plurality switches are provided by monitoring the operation of the plurality of global links to determine which of the plurality of global links provide working paths. A routing table indicative of a status for the plurality of links is maintained, where the routing table provides weighting for each of the working paths. When routing, a link using a weighted pseudo-random selection from the choices available in the routing table is selected. Routing along one of the working paths commensurate with the selected link is performed, and the weighting is updated based upon the operation of the plurality of links.

Methods and systems are provided for controlling wide LAG and ECMP in a network. At the ingress edge of the network, a switch can identify packets as LAG or ECMP packets, and allow them to be forwarded through the switch fabric using multiple output ports or paths.

A data-driven intelligent networking system that can facilitate tracing of data flow packets is provided. The system add tracer packets to data flow packets arriving at an ingress point of the network. As the tracer packets progress through network in-band with the data flow packets, the system can copy, at each switch, trace data into pre-defined fields in the tracer packets. When the data flow packets arrive at an egress point of the network the system can separate the trace data from the data flow packet for analysis. Based on the analysis of the trace data, the system can adopt one or more policies to mitigate the impact of congestion on time-sensitive applications.

Data-driven intelligent networking systems and methods are provided. The system can accommodate dynamic traffic with fast, effective per-flow credit-based flow control. The system can maintain state information of individual packet flows, which can be set up or released dynamically based on injected data. Each flow can be provided with a flow-specific input queue upon arriving at a switch. Packets of a respective flow can be acknowledged after reaching the egress point of the network, and the acknowledgement packets can be sent back to the ingress point of the flow along the same data path. As a result, each switch can obtain state information of each flow and perform flow control on a per-flow basis.

Data-driven intelligent networking systems and methods are provided. The system can accommodate dynamic traffic with fast, effective endpoint congestion detection and control. The system can maintain state information of individual packet flows, which can be set up or released dynamically based on injected data. Each flow can be provided with a flow-specific input queue upon arriving at a switch. Packets of a respective flow can be acknowledged after reaching the egress point of the network, and the acknowledgement packets can be sent back to the ingress point of the flow along the same data path. As a result, each switch can obtain state information of each flow and perform flow control on a per-flow basis.

A network interface controller (NIC) capable of facilitating fine-grain flow control (FGFC) is provided. The NIC can be equipped with a network interface, an FGFC logic block, and a traffic management logic block. During operation, the network interface can determine that a control frame from a switch is associated with FGFC. The network interface can then identify a data flow indicated in the control frame for applying the FGFC. The FGFC logic block can insert information from the control frame into an entry of a data structure stored in the NIC. The traffic management logic block can identify the entry in the data structure based on one or more fields of a packet belonging to the flow. Subsequently, the traffic management logic block can determine whether the packet is allowed to be forwarded based on the information in the entry.

Methods and systems are provided to facilitate network egress fairness between applications. At an egress port of a network, an arbitrator can provide fairness-based traffic shaping to data associated with applications. The desired fairness-based traffic shaping can be provided based on bandwidth, traffic classes, or other parameters. Consequently, the egress link's bandwidth can be allocated with fairness among the applications.

Methods and systems are provided to facilitate network egress fairness between applications. At an egress port of a network, an arbitrator can provide fairness-based traffic shaping to data associated with applications. The desired fairness-based traffic shaping can be provided based on bandwidth, traffic classes, or other parameters. Consequently, the egress link's bandwidth can be allocated with fairness among the applications.

A network device may receive packets and may calculate, during a time interval, an arrival rate and a departure rate, of the packets, at one of multiple virtual output queues. The network device may calculate a current oversubscription factor based on the arrival rate and the departure rate, and may calculate a target oversubscription factor based on an average of previous oversubscription factors associated with the multiple virtual output queues. The network device may determine whether a difference exists between the target oversubscription factor and the current oversubscription factor and may calculate, when the difference exists, a scale factor based on the current oversubscription factor and the target oversubscription factor. The network device may calculate new scheduling weights based on prior scheduling weights and the scale factor, and may process packets received by the multiple virtual output queues based on the new scheduling weights.