Cisco Technology, Inc.

Prasannakumar Murugesan

Aeneas Sean Dodd-Noble

Ian McDowell Campbell

Ajeet Pal Singh Gill

David Alan Johnson

Akshya Kumar Singh

Anil Kumar Chandrupatla

Michael Boe

Gary Gitelson

Ravinandan Arakali

Jay Edward Lubomirski

Tejas Birajdar

David A Johnson

Systems, methods, and computer-readable storage media for network association to virtualize network devices using device passthrough. In some examples, a system can determine one or more respective configuration parameters associated with one or more network interfaces on the system. Based on the networking information, the system can map the one or more respective configuration parameters to each corresponding network interface from the one or more network interfaces, to yield mapped interfaces-parameters. Next, the system can record the mapped interfaces-parameters to a data object accessible by a virtual machine on the system. The system can then configure the virtual machine to process the mapped interfaces-parameters as boot time parameters while spawning and launch the virtual machine based on the mapped interfaces-parameters.

Device pass-through for virtualized environments

In accordance with various implementations, a method is performed at a data plane node with one or more processors, non-transitory memory, and a control interface between a network function module associated with the data plane node and a switch associated with the data plane node. The method includes determining whether an offload capability is available for a data flow received at an ingress network interface of the data plane node. The method also includes determining whether the data flow satisfies offload criteria in response to determining that the offload capability is available. The method includes bypassing the network function module associated with the data plane node and providing the data flow to at least one of the switch associated with the data plane node or an egress network interface associated with the data plane node in response to determining the offload capability is available and the offload criteria is satisfied.

Method and device for offloading processing of data flows

In one embodiment, a method includes assigning a number of threads for user plane functions to a corresponding number of transmit queues for transmission of packets on a network interface, assigning additional threads exceeding the number of transmit queues to software transmission queues associated with the threads assigned to the transmit queues, identifying a load at each of the threads, dynamically updating assignment of the additional threads to the software transmission queues based on the load at the threads, and transmitting packets from the transmit queues for transmission on a network from a physical interface at a network device. An apparatus and logic are also disclosed herein.

Dynamic transmission side scaling

Method for assisting load-balancing of subscriber sessions in a distributed mobile gateway (e.g. PGW, SGW, ePDG, or TWAG) comprising a plurality of distributed gateway instances (DGIs) is disclosed. Method includes receiving an advertisement of GTP fully qualified tunnel endpoints identifications (F-TEIDs) allocated to a first plurality of subscriber sessions, the sessions assigned to a first DGI of the DGIs. The advertisement indicates the first DGI as a recipient for data provided to the gateway and related to any of the first plurality of sessions. Method further includes storing an association between the GTP F-TEIDs of the advertisement and the first DGI, receiving a packet comprising data related to a subscriber session of the first plurality of sessions, identifying a F-TEID for the data of the received packet, identifying from stored association, that the F-TEID is associated with the first DGI, and forwarding data of the packet to the first DGI.

Load balancing in a distributed gateway deployment

Techniques for selectively restarting processes based on API changes are provided. Information is stored that can be accessed to identify processes that are affected by an API change. The stored information can be modified to reflect the API change and the processes that are affected can be restarted. Thus, processes that are not affected by the API change need not be restarted.

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San Ramon, CA, United States of America

Prasannakumar Murugesan