Abstract: In some examples, a system may be configured to, implement a first set of operations that generate a first set of data characterizing an importance of the most recently added anchor item to the user. Further, the system may be configured to, implement a second set of operations that generate a second set of data characterizing a likelihood of an occurrence of a substitution rejection event associated with the user. That way, based on the first set of data and the second set of data, the system may be configured to generate output data, and implement a set of notification operations based on the output data.

Abstract: An optimized substitution system can include a computing device that is configured to receive a notification indicating an order and a first item identifier and, based on the first item identifier, identify a set of substitute item identifiers. Each substitute item identifier of the set of substitute item identifiers includes a probability value using an optimization computation based on a similarity and a value of the corresponding set of substitute item identifiers and the first item identifier. The similarity and the value are stored in a database. The compute device is also configured to, based on the probability values corresponding to the set of substitute item identifiers, select a first substitute item identifier of the set of substitute item identifiers and update the order to include the first substitute item identifier and exclude the first item identifier.

Abstract: Example implementations relate to management of clusters. A cluster recovery manager may comprise a processing resource; and a memory resource storing machine-readable instructions to cause the processing resource to: adjust, based on a monitored degree of performance of a controller of a controller cluster, a state of the controller to one of a first state and a second state; and reassign a corresponding portion of a plurality of APs managed by the controller periodically to a different controller until the state of the controller is determined to be adjustable to the first state. The reassignment can be triggered responsive to a state adjustment of the controller from the first state to the second state.

Abstract: Example implementations relate to standby controllers for access points (APs). A network controller may comprise a processing resource; and a memory resource storing machine-readable instructions to cause the processing resource to: determine, in response to a first controller in a controller cluster failing, whether a first AP managed by a first controller has been assigned to a standby controller; determine, in response to the first AP managed by the first controller not having a standby controller assigned, a radio frequency (RF) gap as a result of a different controller failing; and based on the size of the RF gap, assign the second controller as a standby controller for the first AP.

Abstract: An example of a system may include a processing resource and a computing device comprising instructions executable by the processing resource to determine an interval based on an amount of time to upgrade a network; determine a series of time windows based on the interval; analyze data traffic in the network over the series of time windows; identify a subset of the series of time windows that are sequential and non-overlapping; and select a particular time window from the subset of the series of time windows to perform an upgrade of the network based on the analyzed data traffic.

Abstract: A method is disclosed. The method may comprise identifying a plurality of network devices in a cluster of network devices. In some examples, the method may comprise identifying any virtual local area networks (VLANs) that are enabled on each of the plurality of network devices in the cluster of network devices. In some examples, the method may comprise, for each identified VLAN, determine a set of network devices accessible on a respective VLAN. In some examples, the method may comprise probing the respective VLAN in response to the respective VLAN being accessible by each network device in the cluster of network devices. A network device and a machine-readable medium are also disclosed.

Abstract: An example of a system may include a processing resource and a computing device comprising instructions executable by the processing resource to assign a first radio, operable in a frequency band, of an access point (AP) to a prioritized data zone utilizing the AP; and assign a second radio, operable in the frequency band, of the AP to a plurality of non-prioritized data zones utilizing the AP.

Abstract: Example implementations relate to management of clusters. A cluster recovery manager may comprise a processing resource; and a memory resource storing machine-readable instructions to cause the processing resource to: adjust, based on a monitored degree of performance of a controller of a controller cluster, a state of the controller to one of a first state and a second state; and reassign a corresponding portion of a plurality of APs managed by the controller periodically to a different controller until the state of the controller is determined to be adjustable to the first state. The reassignment can be triggered responsive to a state adjustment of the controller from the first state to the second state.

Abstract: An example of a system may include a processing resource and a computing device comprising instructions executable by the processing resource to assign a first radio, operable in a frequency band, of an access point (AP) to a prioritized data zone utilizing the AP; and assign a second radio, operable in the frequency band, of the AP to a plurality of non-prioritized data zones utilizing the AP.

Abstract: A network device is disclosed. The network device comprises a processor. The processor may be obtain information of devices that are connected to the network device and, together with the network device, form a cluster of network devices; obtain, for each network device in the cluster of network devices, a plurality of parameters indicative of the connectivity of the network devices with one another; assign, based on the plurality of parameters, a grouping structure, whereby each network device in the cluster of network devices is assigned to a group according to a common value of the parameters shared by the network device and other network devices in the group; and assign, based on the grouping structure, each network device in the cluster of network devices as either an active device or a backup device, each active device having a corresponding backup device. Each backup device may be in a group which has no overlap with the group of the corresponding active device.

Abstract: An example of a system may include a processing resource and a computing device comprising instructions executable by the processing resource to determine an interval based on an amount of time to upgrade a network; determine a series of time windows based on the interval; analyze data traffic in the network over the series of time windows; identify a subset of the series of time windows that are sequential and non-overlapping; and select a particular time window from the subset of the series of time windows to perform an upgrade of the network based on the analyzed data traffic.

Abstract: A network device is disclosed. The network device comprises a processor. The processor may be obtain information of devices that are connected to the network device and, together with the network device, form a duster of network devices; obtain, for each network device in the duster of network devices, a plurality of parameters indicative of the connectivity of the network devices with one another; assign, based on the plurality of parameters, a grouping structure, whereby each network device in the cluster of network devices is assigned to a group according to a common value of the parameters shared by the network device and other network devices in the group; and assign, based on the grouping structure, each network device in the cluster of network devices as either an active device or a backup device, each active device having a corresponding backup device. Each backup device may be in a group which has no overlap with the group of the corresponding active device.

Abstract: A method is disclosed. The method may comprise identifying a plurality of network devices in a cluster of network devices. In some examples, the method may comprise identifying any virtual local area networks (VLANs) that are enabled on each of the plurality of network devices in the cluster of network devices. In some examples, the method may comprise, for each identified VLAN, determine a set of network devices accessible on a respective VLAN. In some examples, the method may comprise probing the respective VLAN in response to the respective VLAN being accessible by each network device in the cluster of network devices. A network device and a machine-readable medium are also disclosed.

Abstract: Example implementations relate to standby controllers for access points (APs). A network controller may comprise a processing resource; and a memory resource storing machine-readable instructions to cause the processing resource to: determine, in response to a first controller in a controller cluster failing, whether a first AP managed by a first controller has been assigned to a standby controller; determine, in response to the first AP managed by the first controller not having a standby controller assigned, a radio frequency (RF) gap as a result of a different controller failing; and based on the size of the RF gap, assign the second controller as a standby controller for the first AP.

Abstract: Example method includes: establishing, by an access point, a first connection to a first controller associated with a first zone; establishing, by the access point, a second connection to a second and different controller associated with a second and different zone; determining, by the access point, that the first zone is preferred over the second zone; receiving, by the access point, an association request from a new client device managed by the first controller; in response to a number of client devices managed by the second controller and associated with the access point exceeding a predefined number, selectively de-authenticating at least one client device managed by the second controller associated with multi-zones; and transmitting, by the access point, an association response to the new client device managed by the first controller to allow the new client device connect to the access point.

Abstract: Example method includes: establishing, by an access point, a first connection to a first controller associated with a first zone; establishing, by the access point, a second connection to a second and different controller associated with a second and different zone; determining, by the access point, that the first zone is preferred over the second zone; receiving, by the access point, an association request from a new client device managed by the first controller; in response to a number of client devices managed by the second controller and associated with the access point exceeding a predefined number, selectively de-authenticating at least one client device managed by the second controller associated with multi-zones; and transmitting, by the access point, an association response to the new client device managed by the first controller to allow the new client device connect to the access point.