System, apparatus and method of prioritizing a plurality of software applications for a migration to a cloud computing environment operated for an enterprise. For example, an application scoring module is configured to determine a default score for the software application based, at least in part, on the information received by a survey module. The weighting module is configured to receive weights assigned by the enterprise for each of a plurality of characteristics concerning the software application, respectively, the weights reflective of an understanding by the enterprise of at least one of the value to the enterprise of the software application and the complexity of migrating the software application. According to this embodiment, the application scoring module is configured to generate a customized score for the software application based on an adjustment to the default score resulting from the weights.

Systems, methods, and apparatuses may include a network onboarding manager for configuring network security features at application hosting sites of a service provider network, for instance, as part of a procedure for deploying an application onto the service provider network. The network onboarding manager may generate a security profile for the application. The security profile may include information indicating a security posture of the application with respect to network security features needed to deploy the application, which the system may use to generate and send configuration data to the hosting sites. One or more operations may be performed based on a user input received at a developer portal (e.g., via a user interface), or automatically based on one or more API calls made by the network onboarding manager and/or based on one or more security profile templates.

A system and method are disclosed associated with a multi-tenant cloud computing environment. The system may receive information about a serverless function workload (e.g., a NodeJS, Java function or ABAP workload) to be launched in the cloud computing environment. A tenant associated with the serverless function workload to be launched may be identified and, based at least in part on the identified tenant, an objective function (e.g., throughput, latency, cost, etc.) for the serverless function workload to be launched may be identified. A recommendation service platform may then iteratively configure tuning parameters of the cloud computing environment using Bayesian optimization (e.g., to reach a global optimum using a Gaussian process) and the determined objective function. The system may then arrange for the serverless function workload to be executed in the cloud computing environment in accordance with the configured tuning parameters.

A method of operation of an OAM node in a 5G system for fulfilling a service level agreement (SLA) for a network slice. The method comprises the OAM node initializing the slice information at a first network entity (NSSF) including the initial number of users allowed for a slice and transmitting information related to KPI for the slice for QoE monitoring; receiving one or more Quality of Experience (QoE) measurements related to one or more users of the slice, using the received one or more QoE measurements to determine whether the KPI for the slice is reached in accordance with the SLA and in response to determining that the KPI for the slice is not in accordance with the SLA, triggering an action in at least one of corresponding Radio Access Network or a Core Network associated with the slice, such as resource reconfiguration or redistribution across different slices.

The ICT resource management device (1) includes: a configuration information management part (13) that manages configuration information of physical nodes and virtual nodes; a layer mapping part (14) that performs mapping between the physical layer and the virtual layer; a location specifying part (13a) that specifies a location of a physical node; a device connect destination determination part (12a) that determines a physical node to which to connect the device in response to a request for configuration change based on at least one of the specified location, information relating to a service, a network connection configuration of the network connecting the device to the physical node, and quality of the network; a blueprint creation part (12) that creates a blueprint (24) based on the configuration information, the mapping information (22), and the connection destination; and an orchestrator part (15, 16) that performs orchestration.

A method includes: receiving, by an intent management device, a service intent from a requirement device, where the service intent is used to indicate service requirement information, and the service requirement information includes service access time information of at least one terminal device and service access location information of the at least one terminal device; and determining network configuration information based on the service intent, and configuring a network based on the network configuration information; or determining first information based on the service intent, and sending the first information to a network management device, where the first information includes network configuration information or network intent information, the network configuration information is used to indicate a radio resource configuration, and the network intent information is used to describe an effect of a network configuration.

In one implementation, a method for topology based management with stage and version policies can include associating a topology of an application under development, determining a number of policies, wherein the number of policies include stage and version policies that define a number of available infrastructures for a given stage and version of the application, associating the number of policies to a number of nodes of the topology, and provisioning the topology with the associated number of policies.

A network slice deployment method is provided. Under the method, a network device receives a first request message instructing to deploy a target network slice for providing a target service to the terminal device, from a terminal device. The network device sends a second request message to the management function entity for indicating the target network slice information. The network device receives a second response message indicating that the target network slice has been completely deployed.

A method comprises configuring a service as a collection of subservices on network devices of a network, and decomposing a definition of the service into a subservice dependency graph that indicates the subservices and dependencies between the subservices that implement the service. The method further comprises, based on the subservice dependency graph, configuring a subservice among the subservices to record and report a subservice metric as an indicator of subservice performance. The method further comprises determining a rate at which to obtain values of the subservice metric from the subservice, determining a confidence interval for the values of the subservice metric, and obtaining the values of the subservice metric from the subservice at the rate, to produce values for monitoring the subservice. The method also includes determining whether at least one of the values for monitoring the subservice is within the confidence interval.

The present invention provides a hardware acceleration method and a communications system. The hardware acceleration method includes: sending, by a network functions virtualization orchestrator (NFVO), first request information to a virtualized infrastructure manager (VIM), wherein the first request information is configured to request the VIM to deploy the to-be-accelerated VNF onto a host in a management domain of the VIM, wherein a hardware resource of the host meets a requirement of the to-be-accelerated VNF, and the requirement of the to-be-accelerated VNF includes information indicating a type of a required hardware acceleration resource and a size of the required hardware acceleration resource in the to-be-accelerated VNF; receiving, by the VIM, the first request information from the NFVO; and deploying, by the VIM, the to-be-accelerated VNF onto the host in the management domain of the VIM.