A system for troubleshooting network problems is disclosed. A model can use demographic information, network usage information, and network membership information to determine an importance of a problem. The importance of the problem for the user who reported the problem, a number of other users affected by the problem, and the importance of the problem to the other users can be used to determine a priority for resolving the problem. Before and after a work order is executed to resolve the problem, network metrics can be gathered, including aggregate network metrics, and automatically presented in various user interfaces. The analysis of the metrics can be used to update a database of which work orders are assigned in response to which problems.

The present disclosure relates to auto-configuration methods and apparatus, and base stations. One example method includes determining physical configuration information of a base station, where the base station includes a control node and at least one hardware node, the physical configuration information of the base station indicates topology information and hardware attribute information of each node that needs to be configured, and nodes that need to be configured include at least one of the at least one hardware node, determining logical mapping configuration information of the base station, where the logical mapping configuration information of the base station indicates a mapping relationship between a hardware resource included in the base station and a logical resource corresponding to the hardware resource.

A system for configuring a data center includes a fabric management server coupled to a management switch. A provisional Software Defined Networking (SDN) controller executing on the fabric management server can discover physical servers coupled to the management switch, receive network interface configuration information from the physical servers, and use the discovered network interface configuration information to determine a configuration for switches and servers coupled to an IP fabric. The configuration can be migrated to a full functionality SDN controller.

A processing operation requesting method and device using associated groups. Specifically, the processing operation requesting method of the present invention includes: receiving an operation request; sending the operation request to a first entity group for processing; determining at least one second entity group associated the first entity group; and sending the operation request to the at least one second entity group for processing.

A computer network includes a server computer having communication ports that are wired to switch ports of two separate network switches. The network switches receive link layer discovery protocol (LLDP) packets from other network devices, and automatically aggregate corresponding switch ports into a port channel aggregation based on the contents of the LLDP packets.

Various embodiments are disclosed for a services policy communication system and method. In some embodiments, a communications device stores a set of device credentials for activating the communications device for a service on a network; and sends an access request to the network, the access request including the set of device credentials.

A configuration control transfer (“CCT”) system controls the transferring of control of configuration information of a device from a current configuration source to a target configuration source. A CCT server of the CCT system may send a request for the configuration information of the device where the configuration information of the device currently under control of the at least one first configuration source. The CCT server may also receive the requested configuration information, determine whether the second configuration source is able to support the configuration information of the first configuration source, and based at least on a determination that the second configuration source is able to support the configuration information, request that the device transfer control of the configuration information from the first configuration source to the second configuration source to unenroll the device with the first configuration source and enroll the device with the second configuration source.

A processing system including at least one processor may obtain a time series of measurement values from a communication network and train a prediction model in accordance with the time series of measurement values to predict future instances of an event of interest, where the time series of measurement values is labeled with one or more indicators of instances of the event of interest. The processing system may then generate a deterministic finite automaton based upon the prediction model, convert the deterministic finite automaton into a rule set, and deploy the rule set to at least one network component of the communication network.

Some embodiments provide a managed network for implementing a logical network for a tenant. The managed network includes a first set of host machines and a second set of host machines. The first set of host machines is for hosting virtual machines (VMs) for the logical network. Each of the first set of host machines operates a managed forwarding element that implements a first logical router for the tenant logical network and a second logical router to which the first logical router connects. The implementation of the second logical router is for processing packets entering and exiting the tenant logical network. The second set of host machines is for hosting L3 gateways for the second logical router. The L3 gateways connect the tenant logical network to at least one external network.

A failure effects estimating device includes an input unit that inputs a log and a traffic amount obtained from a communication system when an abnormality occurs, an estimating unit that estimates a failure effects amount in the communication system, on the basis of the log and the traffic amount, and an output unit that outputs the failure effects amount estimated by the estimating unit.