Abstract: Techniques are described for automatic discovery of two or more virtual service instances configured to apply a given service to a packet in a software-defined networking (SDN)/network functions virtualization (NFV) environment. Virtual service instances may be deployed as virtual entities hosted on one or more physical devices to offer individual services or chains of services from a service provider. The use of virtual service instances enables automatic scaling of the services on-demand. The techniques of this disclosure enable automatic discovery by a gateway network device of virtual service instances for a given service as load balancing entities. According to the techniques, the gateway network device automatically updates a load balancing group for the given service to include the discovered virtual service instances on which to load balance traffic for the service. In this way, the disclosed techniques provide auto-scaling and auto-discovery of services in an SDN/NFV environment.

Abstract: Techniques are described for automatic discovery of two or more virtual service instances configured to apply a given service to a packet in a software-defined networking (SDN)/network functions virtualization (NFV) environment. Virtual service instances may be deployed as virtual entities hosted on one or more physical devices to offer individual services or chains of services from a service provider. The use of virtual service instances enables automatic scaling of the services on-demand. The techniques of this disclosure enable automatic discovery by a gateway network device of virtual service instances for a given service as load balancing entities. According to the techniques, the gateway network device automatically updates a load balancing group for the given service to include the discovered virtual service instances on which to load balance traffic for the service. In this way, the disclosed techniques provide auto-scaling and auto-discovery of services in an SDN/NFV environment.

Abstract: Techniques are described for automatic discovery of two or more virtual service instances configured to apply a given service to a packet in a software-defined networking (SDN)/network functions virtualization (NFV) environment. Virtual service instances may be deployed as virtual entities hosted on one or more physical devices to offer individual services or chains of services from a service provider. The use of virtual service instances enables automatic scaling of the services on-demand. The techniques of this disclosure enable automatic discovery by a gateway network device of virtual service instances for a given service as load balancing entities. According to the techniques, the gateway network device automatically updates a load balancing group for the given service to include the discovered virtual service instances on which to load balance traffic for the service. In this way, the disclosed techniques provide auto-scaling and auto-discovery of services in an SDN/NFV environment.

Abstract: Techniques are described for automatic discovery of two or more virtual service instances configured to apply a given service to a packet in a software-defined networking (SDN)/network functions virtualization (NFV) environment. Virtual service instances may be deployed as virtual entities hosted on one or more physical devices to offer individual services or chains of services from a service provider. The use of virtual service instances enables automatic scaling of the services on-demand. The techniques of this disclosure enable automatic discovery by a gateway network device of virtual service instances for a given service as load balancing entities. According to the techniques, the gateway network device automatically updates a load balancing group for the given service to include the discovered virtual service instances on which to load balance traffic for the service. In this way, the disclosed techniques provide auto-scaling and auto-discovery of services in an SDN/NFV environment.

Abstract: In one embodiment, a method includes obtaining addresses of end hosts at a switch, the switch configured with a primary virtual local area network and a secondary virtual local area network, creating a private virtual local area network access list comprising the addresses of end hosts permitted to communicate on the secondary virtual local area network, and applying the private virtual local area network access list to interfaces connected to the end hosts permitted to communicate on the secondary virtual local area network. An apparatus is also disclosed.

Abstract: In one embodiment, a method includes obtaining addresses of end hosts at a switch, the switch configured with a primary virtual local area network and a secondary virtual local area network, creating a private virtual local area network access list comprising the addresses of end hosts permitted to communicate on the secondary virtual local area network, and applying the private virtual local area network access list to interfaces connected to the end hosts permitted to communicate on the secondary virtual local area network. An apparatus is also disclosed.

Abstract: Provided are test systems, methods, and media which allow a user to script any type of test or model scenario based on a particular type of network traffic (e.g., protocol interaction). In preferred embodiments, the script provides for the generation of packets (stimuli) which are used to provoke responses in order to model or test proper operation of one or more network protocols. The invention includes a scripting language, also referred to as a stimulus/response engine, which includes commands specifying a state change of a network device, and provides for the establishment of packet filters based on expected network traffic, receiving and matching arriving packets with packet filters, and, where there is a match, conducting actions specified by the user in the script. A stimulus/response engine (SRE) in accordance with the present invention is dynamic it that it accommodates patterns (packet filters) which are modified during test runs.