Technology is disclosed for a Third Generation Partnership Project (3GPP) management system operable for peer-to-peer (P2P) edge computing in a fifth generation (5G) computing network. The 3GPP management system can be configured to: identify a user plane function (UPF) based on quality of service (QoS) requirements. The 3GPP management system can be configured to request, from an edge computing management system, deployment of an application server (AS). The 3GPP management system can be configured to request a network functions virtualization (NFV) orchestrator (NFVO) to connect the UPF and the AS based on the QoS requirements.

A cloud network is a complex environment in which hundreds and thousands of users or entities can each host, create, modify, and develop multiple virtual machines. Each virtual machine can have complex behavior unknown to the provider or maintainer of the cloud. Technologies disclosed include methods, systems, and apparatuses to monitor the complex environment to detect network anomalies using machine learning techniques. In addition, techniques to modify and adapt to user feedback are provided allowing the developed models to be tuned for specific use cases, virtual machine types, and users.

Described are platforms, systems, and methods for resource fairness enforcement. In one aspect, a programmable input output (IO) device comprises a memory unit, the memory unit having instructions stored thereon which, when executed by the programmable IO device, cause the programmable IO device to perform operations comprising: receiving an input from a logical interface (LIF); determining, by at least one meter, a metric regarding at least one resource used during a processing of the input through a programmable pipeline; and regulating additional input received from the LIF based on the metric and a threshold for the at least one resource.

Methods and systems for autonomous computing comprising processing historical data to analyze a past performance, collecting data from a plurality of connected devices over a network, synchronizing the collected data from the plurality of connected devices with the processed historical data. Based on the synchronized data, methods and systems disclosed include detecting an alert (error/fault) condition in one or more of the plurality of connected devices, based on the detected alert condition, triggering the delivery of the detected alert condition to an automated network operations center (NOC), and matching the determined alert condition to a historical alert condition by the network operations center. Based on the matching, methods and systems include determining a corrective action, and based on the determined corrective action, assigning a virtual self-healing module from a plurality of virtual self-healing modules. Finally, a trigger to performance of the determined corrective action by the assigned virtual self-healing module is initiated.

Various systems and methods are provided in which a replication process is initiated between a primary site and a recovery site, each having plurality of gateway appliances. Replication loads are evaluated for each given gateway appliance of the plurality of gateway appliances. If a determination is made that at least one gateway appliance of the plurality of gateway appliances is not overloaded, the plurality of gateway appliances are sorted based on replication loads respectively associated with each gateway appliance, and a determination is made as to whether a relative difference in replication loads between a gateway appliance having a highest replication load and a gateway appliance having a lowest replication load exceeds a difference threshold to determine whether the replication workloads between the gateway appliances should be rebalanced.

A troubleshooting method based on network function virtualization is provided, where the troubleshooting method may include: obtaining, by a first function management entity, fault information of a function entity; triggering, by the first function management entity, fault correlation processing according to the fault information, and formulating a troubleshooting policy according to a result of the fault correlation processing; and if the troubleshooting policy is formulated when troubleshooting time arrives, processing, by the first function management entity, a fault according to the troubleshooting policy; or if the troubleshooting policy is not formulated, processing, by the first function management entity, a fault according to a preset troubleshooting policy, where the preset troubleshooting policy is a policy formulated for a fault generated due to a reason of the function entity, so as to ensure that a service is not interrupted in a troubleshooting process, so that user experience is improved.

Systems, methods, and software for operational anomaly detection in communication systems is provided herein. An exemplary method includes obtaining a measured sequence of state information associated with the communications system during a first timeframe, processing the measured sequence of state information to determine a predicted sequence of state information for the communication system during a second timeframe, and monitoring current state information for the communication system over at least a portion of the second timeframe. The method also includes determining operational anomalies associated with the communication system based at least on a comparison between the current state information and the predicted sequence of state information.

The present invention discloses a method and an apparatus for establishing a link between virtualized network functions. The method includes obtaining an internet protocol (IP) address of a connection point (CP) of a first virtualized network function (VNF) and identification information of the CP. The method also includes determining identification information of a second VNF corresponding to the identification information of the CP of the first VNF, sending the IP address of the CP of the first VNF and the identification information of the CP to the second VNF corresponding to the identification information of the second VNF. Additionally, the method includes starting a link connection establishment process between a CP of the second VNF and the CP of the first VNF.

An embodiment logical function architecture for next-generation 5G wireless networks may include a control plane comprising a software defined topology (SDT) logical entity configured to establish a virtual data-plane logical topology for a service, a software defined resource allocation (SDRA) logical entity configured to map the virtual data-plane topology to a physical data-plane for transporting service-related traffic over the wireless network, and a software defined per-service customized data plane process (SDP) logical entity configured to select transport protocol(s) for transporting the service-related traffic over a physical data-plane of the wireless network. An embodiment virtual service specific serving gateway (v-s-SGW) for next-generation 5G networks may be assigned specifically to a service being provided by a group of wirelessly enabled devices, and may be responsible for aggregating service-related traffic communicated by the group of wirelessly enabled devices.

In general, techniques are described for network connectivity for non-colocated customers of a cloud exchange. A programmable network platform for the cloud exchange comprises processing circuitry configured to: configure a virtual network device in the data center to run a network service for a customer; receive, from the customer, a request for a remote port and network information for a network service provider connectivity service for the customer; assign, in response to receiving the request for the remote port, a remote port of the cloud exchange to the customer; and configure, in response to receiving the request for the remote port using the network information, the cloud exchange to connect the network service provider connectivity service to the virtual network device via the remote port of the cloud exchange.