The disclosure provides a method and a device for efficiently operating network slicing. According to the disclosure, a method of operating a first node configured to manage a network slice of a communication system includes: transmitting a service level agreement (SLA) range for each network slice subnet and a message requesting a resource according to the SLA range to a second node configured to manage the network slice subnet, receiving SLA arrangement flavor mapping relationship information in the network slice subnet unit from the second node, and identifying the SLA arrangement flavor mapping relationship in a network slice unit based on the received SLA arrangement flavor mapping relationship information in a network slice subnet unit.

The disclosure provides a method and a device for efficiently operating network slicing. According to the disclosure, a method of operating a first node configured to manage a network slice of a communication system includes: transmitting a service level agreement (SLA) range for each network slice subnet and a message requesting a resource according to the SLA range to a second node configured to manage the network slice subnet, receiving SLA arrangement flavor mapping relationship information in the network slice subnet unit from the second node, and identifying the SLA arrangement flavor mapping relationship in a network slice unit based on the received SLA arrangement flavor mapping relationship information in a network slice subnet unit.

The disclosure relates to a communication technique and a system thereof that fuse a 5th generation (5G) communication system with Internet of Things (IoT) technology to support a higher data transmission rate after a 4th generation (4G) system. The disclosure is applied to intelligent services (e.g., smart home, smart building, smart city, smart car or connected car, healthcare, digital education, retail, security and safety-related service, etc.) based on 5G communication technology and IoT-related technology. The disclosure is about telecommunication and 5G network slicing technology. A method for defining a network slice template (NST) to provide network slice, for generating a network slice instance (NSI), and a system for managing them are provided.

The present application relates to traffic routing for overlay paths in a public cloud network. A path orchestrator receives a configuration of a set of overlay paths for a wide area network virtualization from a client, each overlay path including virtual routing nodes associated with respective geographic regions and at least one policy for a link between the virtual routing nodes. The path orchestrator is configured to instantiate a plurality of virtual routers on computing resources of the public cloud network located within the respective geographic regions based on the configuration, each virtual router configured to route traffic according to the policy for each link associated with the virtual routing node corresponding to the virtual router. The path orchestrator is configured to scale the plurality of virtual routers based on traffic for the client on the set of overlay paths.

Systems, methods, and computer-readable media analyzing memory usage in a network node. A network assurance appliance may be configured to query a node in the network fabric for a number of hardware level entries, stored in memory for the node, that are associated with a concrete level network rule. The network assurance appliance may identify a logical level network intent associated with the concrete level network rule, identify a logical level component of the logical level network intent, and attribute the number of hardware level entries to the logical level component.

A control method includes sending, by a controller, a created context-aware model to a context-aware engine. The context-aware model is used to define a preset control performed when target data meets a trigger condition and to instruct the context-aware engine to send indication information to the controller when the context-aware engine determines that the target data meets the trigger condition. The preset control is used to implement a context-aware function. The indication information is used to indicate that the target data meets the trigger condition. The method also includes receiving, by the controller, the indication information. The method further includes performing, by the controller, the preset control based on the indication information.

A method and network node are provided for dimensioning a network service (NS). The method comprises calculating, based on given capacity requirements of the NS, a required number of virtual network functions component (VNFC) instances of each of a plurality of virtual network function (VNF) in the NS; selecting a VNF deployment flavor (VnfDf) for each of the plurality of VNFs in the NS, based on the calculated required number of VNFC instances; generating a network service deployment flavor (NsDf) including the selected VnfDfs; and onboarding a network service descriptor (NSD), which includes the NsDf, for use for instantiating the dimensioned NS.

A method and network node are provided for dimensioning a network service (NS). The method comprises calculating, based on given capacity requirements of the NS, a required number of virtual network functions component (VNFC) instances of each of a plurality of virtual network function (VNF) in the NS; selecting a VNF deployment flavor (VnfDf) for each of the plurality of VNFs in the NS, based on the calculated required number of VNFC instances; generating a network service deployment flavor (NsDf) including the selected VnfDfs; and onboarding a network service descriptor (NSD), which includes the NsDf, for use for instantiating the dimensioned NS.

A ratio of prediction liable to result in user requirement violation is reduced by adjusting results of resource design even if it is highly likely that the user requirement violation will incur a heavy penalty. There is provided a requirement specifying functional unit (11) that specifies a user requirement for a service of interest, and a resource design unit (12) that predicts, by machine learning, performance achievable at a plurality of resource settings in performing the service of interest and selects a resource setting that satisfies the specified user requirement, based on results of the prediction, wherein the resource design unit (12) generates a P model as a model for use to predict performance, the P model using a P-mode loss function obtained by adding a function to an N model that uses an existing N-mode loss function, the added function taking a finite value when actual performance is lower than predicted performance.

Systems and methods for monitoring, reporting, and notification of media processing entities using system variables and events are provided. According to embodiments, schemes for the monitoring, reporting, and notification may be created, updated, and deleted using a media processing entity (MPE) application programming interface (API). According to embodiments, based on the scheme being implemented by an MPE, a value of a variable of the MPE or a status of an event of the MPE, during the monitoring, or as a part of the reporting, or as a part of the notification may be sent by the MPE and received.