Core network slices that belong to a given operator community are efficiently tracked at the network control/user plane functions level, with rich data analytics in real-time based on their geographic instantiations. In one aspect, an enhanced vendor agnostic orchestration mechanism is utilized to connect a unified management layer with an integrated slice-components data analytics engine (SDAE), a slice performance engine (SPE), and a network slice selection function (NSSF) in a closed-loop feedback system with the serving network functions of one or more core network slices. The tight-knit orchestration mechanism provides economies of scale to mobile carriers in optimal deployment and utilization of their critical core network resources while serving their customers with superior quality.

A network device may receive packets and may calculate, during a time interval, an arrival rate and a departure rate, of the packets, at one of multiple virtual output queues. The network device may calculate a current oversubscription factor based on the arrival rate and the departure rate, and may calculate a target oversubscription factor based on an average of previous oversubscription factors associated with the multiple virtual output queues. The network device may determine whether a difference exists between the target oversubscription factor and the current oversubscription factor and may calculate, when the difference exists, a scale factor based on the current oversubscription factor and the target oversubscription factor. The network device may calculate new scheduling weights based on prior scheduling weights and the scale factor, and may process packets received by the multiple virtual output queues based on the new scheduling weights.

As an example, a method includes storing, in non-transitory memory, prioritization rules that establish a priority preference for egress of data traffic for a first location. The first location includes a first location apparatus to control egress of data traffic for the first location apparatus and a second location apparatus at a second location, which is different from the first location, to receive data traffic and cooperate with the first apparatus to measure bandwidth with respect to the first location. The first location apparatus is coupled with the second location apparatus via at least one bidirectional network connection. The method also includes estimating capacity of the at least one network connection for the egress of data traffic with respect to the first location. The method also includes categorizing each packet in egress data traffic from the first location based on an evaluation of each packet with respect to the prioritization rules. The method also includes placing each packet in one of a plurality of egress queues associated with the at least one network connection at the first location apparatus according to the categorization of each respective packet and the estimated capacity. The method also includes sending the packets from the first location apparatus to the second location apparatus via a respective network connection according to a priority of the respective egress queue into which each packet is placed, such that the first location apparatus transmits at the estimated capacity for the egress of data traffic.

Core network slices that belong to a given operator community are efficiently tracked at the network control/user plane functions level, with rich data analytics in real-time based on their geographic instantiations. In one aspect, an enhanced vendor agnostic orchestration mechanism is utilized to connect a unified management layer with an integrated slice-components data analytics engine (SDAE), a slice performance engine (SPE), and a network slice selection function (NSSF) in a closed-loop feedback system with the serving network functions of one or more core network slices. The tight-knit orchestration mechanism provides economies of scale to mobile carriers in optimal deployment and utilization of their critical core network resources while serving their customers with superior quality.

Provided are an HQoS scheduling method and device. A received uplink data packet is encapsulated and stored in a queue in uplink direction, and an uplink queue scheduling component is requested to perform scheduling. In this manner, HQoS scheduling in the uplink direction is implemented, and a personalized demand of a user can be met by scheduling uplink data, to carry out more flexible function customization. According to the method and device, the data packet may be further sent to a downlink direction after the HQoS scheduling in the uplink direction is completed, and the HQoS scheduling can be performed on the data in the downlink direction, so that the HQoS scheduling is respectively performed on the data in both the uplink direction and the downlink direction; in this manner, the real bidirectional HQoS scheduling control is implemented, and QoS of the user service can be guaranteed in both directions.

Core network slices that belong to a given operator community are efficiently tracked at the network control/user plane functions level, with rich data analytics in real-time based on their geographic instantiations. In one aspect, an enhanced vendor agnostic orchestration mechanism is utilized to connect a unified management layer with an integrated slice-components data analytics engine (SDAE), a slice performance engine (SPE), and a network slice selection function (NSSF) in a closed-loop feedback system with the serving network functions of one or more core network slices. The tight-knit orchestration mechanism provides economies of scale to mobile carriers in optimal deployment and utilization of their critical core network resources while serving their customers with superior quality.

A method for dynamically allocating buffer credits between a system and a storage area network (SAN). The method includes one or more computer processors determining a forecast of a change related to a pattern of network traffic that originates from a computing system that links to a storage area network (SAN) via a network connection. The method further includes determining whether the forecast change related to the pattern of network traffic dictates a change to a buffer credit allocation associated with the network connection. The method further includes responding to determining that the forecast change related to the pattern of network traffic dictates the buffer credit allocation change by determining a value for the buffer credit allocation associated with the change. The method further includes transmitting a request to a switch of the SAN to modify a buffer credit allocation value corresponding to a port of the switch linked to the network connection.

An apparatus including at least one processor, and at least one memory including computer program code. The at least one memory and computer program code configured to, with the at least one processor, cause the apparatus to perform, obtaining an indication of contention of a communications network; obtaining a historical bandwidth utilization indication parameter of respective participants of the communications network; and determining, based on the indication of contention and the historical bandwidth utilization indication, a scheduler parameter and/or a shaper parameter for being provided to an output of the apparatus. The scheduler parameter and/or the shaper parameter is related to allocating bandwidth to a participant of the network.

Described herein are systems and methods that dynamically manage network traffic for individual subscribers based on past and current data usage rates. The disclosed systems and methods operate to control data traffic for a group of subscribers that share a common access network or that share a common access link to an access network. Prior to an individual subscriber reaching their data plan limit, the disclosed systems and methods track individual subscribers' past and current data rates and manage individual subscribers' current usage rates so that each subscriber's continually or periodically updating past usage rate stays within a provisioning rate for the group. This can improve user experience because rather than waiting until a subscriber has reached their plan data limit to impose strict data usage restrictions, the disclosed systems and methods use modest restrictions continuously or intermittently during the plan period.

Core network slices that belong to a given operator community are efficiently tracked at the network control/user plane functions level, with rich data analytics in real-time based on their geographic instantiations. In one aspect, an enhanced vendor agnostic orchestration mechanism is utilized to connect a unified management layer with an integrated slice-components data analytics engine (SDAE), a slice performance engine (SPE), and a network slice selection function (NSSF) in a closed-loop feedback system with the serving network functions of one or more core network slices. The tight-knit orchestration mechanism provides economies of scale to mobile carriers in optimal deployment and utilization of their critical core network resources while serving their customers with superior quality.