Abstract: In general, a device comprising a processor and a memory may be configured to perform various aspects of the techniques described in this disclosure. The processor may conduct, based on configuration parameters, each of a plurality of simulation iterations within the test environment to collect a corresponding plurality of simulation datasets representative of operating states of the network device. The processor may perform a regression analysis with respect to each of the plurality of configuration parameters and each of the plurality of simulation datasets to generate a light weight model representative of the network device that predicts an operating state of the network device. The processor may output the light weight model for use in a computing resource restricted network device to enable prediction of the operating state of the computing resource restricted network device when configured with the configuration parameters. The memory may store the light weight model.

Abstract: In general, a device comprising a processor and a memory may be configured to perform various aspects of the techniques described in this disclosure. The processor may conduct, based on configuration parameters, each of a plurality of simulation iterations within the test environment to collect a corresponding plurality of simulation datasets representative of operating states of the network device. The processor may perform a regression analysis with respect to each of the plurality of configuration parameters and each of the plurality of simulation datasets to generate a light weight model representative of the network device that predicts an operating state of the network device. The processor may output the light weight model for use in a computing resource restricted network device to enable prediction of the operating state of the computing resource restricted network device when configured with the configuration parameters. The memory may store the light weight model.

Abstract: A network device may detect a reduced switching fabric bandwidth due to switching fabric degradation of a switching fabric. The network device may allocate the reduced switching fabric bandwidth to one or more interfaces of a packet processor. The network device may determine a first maximum reservable bandwidth for an interface of the one or more interfaces. The network device may identify a reserved bandwidth for the interface. The network device may determine an unreserved bandwidth for the interface based on the first maximum reservable bandwidth and the reserved bandwidth. The network device may advertise the unreserved bandwidth, for the interface, to a neighbor network device that communicates with the network device via the interface. The network device may provide an instruction, to the neighbor network device, for the neighbor network device to update a second maximum reservable bandwidth associated with the neighbor network device.

Abstract: A network device may detect a reduced switching fabric bandwidth due to switching fabric degradation of a switching fabric. The network device may allocate the reduced switching fabric bandwidth to one or more interfaces of a packet processor. The network device may determine a first maximum reservable bandwidth for an interface of the one or more interfaces. The network device may identify a reserved bandwidth for the interface. The network device may determine an unreserved bandwidth for the interface based on the first maximum reservable bandwidth and the reserved bandwidth. The network device may advertise the unreserved bandwidth, for the interface, to a neighbor network device that communicates with the network device via the interface.