A packet transfer apparatus is configured to perform packet exchange processing for exchanging multiple continuous packets with low delay while maintaining fairness between communication flows of the same priority level. The packet transfer apparatus includes: a packet classification unit; queues that holds the classified packets for each classification; and a dequeue processing unit that extracts packets from the queues. The dequeue processing unit includes a scheduling unit that controls the packet extraction amount extracted from the queue for a specific communication flow based on information on the amount of data that is requested by the communication flow and is to be continuously transmitted in packets.

A packet transfer apparatus is configured to perform packet exchange processing for exchanging multiple continuous packets with low delay while maintaining fairness between communication flows of the same priority level. The packet transfer apparatus includes: a packet classification unit; queues that holds the classified packets for each classification; and a dequeue processing unit that extracts packets from the queues. The dequeue processing unit includes a scheduling unit that controls the packet extraction amount extracted from the queue for a specific communication flow based on information on the amount of data that is requested by the communication flow and is to be continuously transmitted in packets.

Embodiments are directed towards systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.

Embodiments are directed towards systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.

An object is to provide a network management system and the like capable of being introduced into an existing network to ascertain an instantaneous traffic variation in the network. The scheme of the present invention uses a shaping function included by each edge apparatus. The shaping function controls packet transmission in a millisecond order. The network management apparatus according to the present invention adds up the amount of transmitted packets for each control period reported by each edge apparatus and estimates this as an instantaneous traffic amount in the network. In the scheme, it is only necessary to add one network management apparatus to an existing network and to cause each edge apparatus to report the amount of transmitted packet to the network management apparatus.

An object is to provide a network management system and the like capable of being introduced into an existing network to ascertain an instantaneous traffic variation in the network. The scheme of the present invention uses a shaping function included by each edge apparatus. The shaping function controls packet transmission in a millisecond order. The network management apparatus according to the present invention adds up the amount of transmitted packets for each control period reported by each edge apparatus and estimates this as an instantaneous traffic amount in the network. In the scheme, it is only necessary to add one network management apparatus to an existing network and to cause each edge apparatus to report the amount of transmitted packet to the network management apparatus.

Embodiments are directed towards embodiments are directed toward systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.

Embodiments are directed towards embodiments are directed toward systems and methods for user plane function (UPF) and network slice load balancing within a 5G network. Example embodiments include systems and methods for load balancing based on current UPF load and thresholds that depend on UPF capacity; UPF load balancing using predicted throughput of new UE on the network based on network data analytics; UPF load balancing based on special considerations for low latency traffic; UPF load balancing supporting multiple slices, maintaining several load-thresholds for each UPF and each slice depending on the UPF and network slice capacity; and UPF load balancing using predicted central processing unit (CPU) utilization and/or predicted memory utilization of new UE on the network based on network data analytics.

A computer method and system for prioritizing network traffic flow to a protected computer network. Network traffic flowing from one or more external hosts to the protected computer network is intercepted and intercepted data packets are dropped if forwarding the intercepted data packet to the protected network would cause the value of the bandwidth of network traffic flow to the protected network to exceed a configured overall traffic bandwidth threshold value associated with the protected network. If not dropped, the intercepted data packet is analyzed to determine a classification type for the intercepted data packet based upon prescribed criteria wherein each classification type has an assigned classification bandwidth threshold value, wherein the classification bandwidth threshold value is less than the overall traffic bandwidth threshold value for the protected network. The intercepted data packet is dropped if forwarding the intercepted data packet would cause the value of the bandwidth of traffic flow to the protected network to exceed the bandwidth threshold value assigned to the determined classification type of the intercepted packets.

Examples described herein relate to media transmission. In some examples, based on increased available bandwidth to transmit media data to a receiver device and based on unavailability of media data, fill data can be into a network data buffer for transmission in one or more packets. In some examples, based on increased available bandwidth to transmit media data to a receiver device and based on availability of media data, media data can be provided into the network data buffer for transmission to the receiver device.