The present disclosure relates to capacity planning methods and apparatus. One example method includes matching a distribution model based on a quantity of service packets in each transmission time interval within specified duration to obtain a matched first distribution model, matching a distribution model based on a length of the service packets to obtain a second distribution model, and performing bandwidth control based on the first distribution model, the second distribution model, a distribution parameter of the first distribution model, and a distribution parameter of the second distribution model.

Systems and methods described herein provide an intelligent MEC resource scheduling service. A network device in a MEC network stores, in a memory, threshold values indicating overload conditions for resource usage by a first MEC cluster; monitors resource usage in the first MEC cluster; determines, based on the monitoring, when one of the threshold values is reached; identifies available resources in a second MEC cluster; and re-directs, based on the identifying, at least some of the resource usage from the first MEC cluster to the second MEC cluster.

Systems and methods for providing RDMA (remote direct memory access) read requests as a restricted feature in a high performance computing environment. An exemplary method can provide, at one or more microprocessors, a first subnet, the first subnet comprising a plurality of switches, a plurality of host channel adapters, wherein each of the host channel adapters comprise at least one host channel adapter port, and wherein the plurality of host channel adapters are interconnected via the plurality of switches, and a plurality of end nodes, including a plurality of virtual machine. The method can associate a host channel adapter with a selective RDMA restriction. The method can host a virtual machine of the plurality of virtual machines at the host channel adapter that comprises a selective RDMA restriction.

Systems and methods for using multiple CE (congestion experienced) flags in both FECN (forward explicit congestion notification) and BECN (backward explicit congestion notification) in a high performance computing environment. An exemplary method can provide a first subnet comprising a plurality of switches, a plurality of host channel adapters, and a plurality of end nodes. The method can receive, at an end node attached to a host channel adapter, an ingress packet from a remote end node, wherein the ingress packet traversed at least a portion of the first subnet prior to being received at the end node. The method can, on receiving the ingress packet, send a response message from the end node attached to the host channel adapter to the remote end node, the response message indicating that the ingress packet experienced congestion during the traversal of the at least a portion of the first subnet.

Systems and methods for supporting target groups for congestion control in a private fabric in a high performance computing environment. An exemplary method can provide, at one or more microprocessors, a first subnet, the first subnet comprising a plurality of switches, a plurality of host channel adapters, and a plurality of end nodes, including a plurality of virtual machines. The method can define a target group on one of an inter-switch link or at a port of a switch of the plurality of switches, wherein the target group defines a bandwidth limit on the at least one of an inter-switch link between two switches of the plurality of switches or at a port of a switch of the plurality of switches. The method can provide a target group repository stored in a memory of the host channel adapter where the defined target group in the target group repository is recorded.

Systems and methods for providing bandwidth congestion control in a private fabric in a high performance computing environment. An exemplary method can provide, at one or more microprocessors, a first subnet, the first subnet comprising a plurality of switches, and a plurality of host channel adapters, wherein each of the host channel adapters comprise at least one host channel adapter port, and wherein the plurality of host channel adapters are interconnected via the plurality of switches, and a plurality of end nodes. The method can provide, at a host channel adapter, an end node ingress bandwidth quota associated with an end node attached to the host channel adapter. The method can receive, at the end node of the host channel adapter, ingress bandwidth, the ingress bandwidth exceeding the ingress bandwidth quota of the end node.

Systems and methods described herein provide an intelligent MEC resource scheduling service. A network device in a MEC network stores, in a memory, threshold values indicating overload conditions for resource usage by a first MEC cluster; monitors resource usage in the first MEC cluster; determines, based on the monitoring, when one of the threshold values is reached; identifies available resources in a second MEC cluster; and re-directs, based on the identifying, at least some of the resource usage from the first MEC cluster to the second MEC cluster.

Managing wireless access points and/or other devices providing wireless signaling to multiple clients is contemplated. The wireless access point may be managed according to a load balancing strategy directed towards achieving desired network throughput using forced disassociation of clients based on traffic type or other service related indicators and/or force disassociation of roaming partners based on neighboring access point capabilities.

A target application instance in a plurality of application instances is configured to process a target service whose required latency is lower than a target threshold. A forwarding device is configured to receive a plurality of service requests from a user plane function network element, and preferentially forward a target service request that belongs to the target service to the target application instance. The target application instance is configured to process the received target service request. When the target service is a latency sensitive service, a multi-access edge computing network preferentially forwards the target service, so that the target service may be preferentially served, thereby meeting a latency requirement for processing the latency sensitive service by user equipment.

Managing wireless access points and/or other devices providing wireless signaling to multiple clients is contemplated. The wireless access point may be managed according to a load balancing strategy directed towards achieving desired network throughput using forced disassociation of clients based on traffic type or other service related indicators and/or force disassociation of roaming partners based on neighboring access point capabilities.