Some embodiments provide a non-transitory machine readable medium of a first middlebox element of several middlebox elements to implement a middlebox instance in a distributed manner in several hosts. The non-transitory machine readable medium stores a set of instructions for receiving (1) configuration data for configuring the middlebox instance to implement a middlebox in a logical network and (2) a particular identifier associated with the middlebox in the logical network. The non-transitory machine readable medium stores a set of instructions for generating (1) a set of rules to process packets for the middlebox in the logical network and (2) an internal identifier associated with the set of rules. The non-transitory machine readable medium stores a set of instructions for associating the particular identifier with the internal identifier for later processing of packets having the particular identifier.

A server system comprising storage devices, processing devices and a storage fabric all operating according to a storage fabric protocol. The storage fabric comprises a plurality of individual switches having a modular design from which an overall switch is built, and the individual switches have individual respective configuration settings which determine which processing devices are allocated to use which of the storage devices. The system comprises an API enabling a software control function to configure the overall switch. The API is operable to receive from the control function an overall mapping of the storage devices to the processing devices instead of requiring the individual configuration settings of each of the individual switches to be specified by the control function, the API being configured to convert the overall mapping into the individual configuration settings of the individual switches to produce the overall mapping.

A controller device manages a plurality of network devices. The controller device includes one or more processing units implemented in circuitry and configured to determine that one or more stateful intents used to manage the plurality of network devices and represented by a graph model are degraded due to assigned resources for the stateful intents having become degraded; in response to determining that the one or more stateful intents are degraded, determine resources for the stateful intents, the resources corresponding to vertices of the graph model; provision the stateful intents using the determined resources; determine whether the provisioning of the stateful intents was successful; compile at least one of the stateful intents that was successful into low-level configuration data for at least one network device of the plurality of network devices; and configure the at least one network device using the low-level configuration data.

In one embodiment, a method includes determining a first configuration information for configuring a user plane device of the first network slice associated with the control plane device, generating a first configuration identifier based on the first configuration information, sending, to the user plane device of the first network slice, the first configuration identifier and the first configuration information, receiving, from the user plane device of the first network slice, a second configuration identifier, wherein the second configuration identifier is generated by the user plane device of the first network slice based on the first configuration information received from the control plane device, and verifying, by comparing the first configuration identifier and the second configuration identifier, that the user plane device of the first network slice is configured using the first configuration information.

A method for changing a member in a distributed system, includes requesting, by a first target node, a node address set from a management server, where the node address set includes first addresses of all nodes in the distributed system, sending, by the first target node, a join request to a master node in the distributed system when the node address set does not comprise a second address of the first target node, adding, by the master node, the second address to the node address set, and instructing all slave nodes in the distributed system to add the second address to a corresponding local member list.

In one embodiment, a method includes a method for provisioning private-cloud server nodes by receiving a request to provision a specified number of server nodes for a private cloud, wherein the request is associated with a user, identifying a plurality of server nodes including (a) the specified number of hypervisor server nodes from a first pool that comprises prepared hypervisor server nodes, each of which comprises a previously-installed hypervisor, and (b) a management server node from a second pool that comprises prepared management server nodes, each of which comprises a previously-installed hypervisor and one or more previously-installed management components, configuring the identified server nodes to use a network associated with the user, creating a private cloud that includes the identified server nodes, and providing, to the user, permission to access the identified server nodes.

A system, method, and computer program product are provided for evaluating confidence level of predicting a network situation in a communication network managed using artificial intelligence. In use, for a configuration of a communication network, at least one network situation is determined requiring a change of the configuration of the communication network. A minimal configuration time period is determined required to implement the change of the configuration of the communication network. Additionally, a detection entity including a first classifier is determined that includes one or more event log data associated with the configuration of the communication network, and that further includes a prediction of an occurrence of a particular network situation of the at least one network situation. Further, a first confidence level of the detection entity is determined, the first confidence level representing, at least in part, a probability of the prediction.

A controller of a network control system for configuring several middlebox instances is described. The middlebox instances implement a middlebox in a distributed manner in several hosts. The controller configures a first middlebox instance to obtain status of a set of servers and disseminate the obtained status to a second middlebox instance. The controller configures the second middlebox instance to use the status to select a server from the set of servers.

Some embodiments provide a method for configuring a logical middlebox in a hosting system that includes a set of nodes. The logical middlebox is part of a logical network that includes a set of logical forwarding elements that connect a set of end machines. The method receives a set of configuration data for the logical middlebox. The method uses a stored set of tables describing physical locations of the end machines to identify a set of nodes at which to implement the logical middlebox. The method provides the logical middlebox configuration for distribution to the identified nodes.

This application provides a network configuration method, a device, and a system. The method implemented by a primary device includes: obtaining a configuration template file based on a type of a to-be-configured network device, where the configuration template file corresponds to a network device of a same type and includes at least one configuration command indicating a relationship between a configuration parameter of the to-be-configured network device and a configuration parameter of another network device; generating instantiated configuration data of the to-be-configured network device based on the configuration parameter and the at least one configuration command; and sending the instantiated configuration data to the to-be-configured network device, where the instantiated configuration data is used to instruct the to-be-configured network device to perform configuration based on the instantiated configuration data, to implement configuration automation. This not only improves configuration efficiency of a network device, but also improves configuration accuracy.