A method for distributing network services for a network device through a multi-tenant network service. An identification parameter is associated with the device and is stored in a database by an orders management system after the device is ordered. The method includes establishing a network connection between a network device and a multi-tenant network service and, in response to establishing the network connection, obtaining device-associated identification parameter from the network device. The identification parameter is used to query the database for at least one record associated with the network device identifying a tenant of the multi-tenant network service in which the tenant corresponds to the device. The service maps the network device to the identified tenant of the multi-tenant network service and distributes network services based upon the mapping of the network device to the identified tenant.

A system may involve a communication bus and computational instances configured for communication with one another by way of the communication bus. The system is configured to: (i) receive, by a first computational instance, a first communication request, wherein the first communication request specifies first attributes; (ii) store, in a first persistent storage, the first attributes; (iii) generate a second communication request that specifies second attributes; (iv) transmit, by the first computational instance and to a second computational instance by way of the communication bus, the second communication request; (v) receive, by the second computational instance, the second communication request; (vi) store, in a second persistent storage, the second attributes; (vii) generate a third communication request that specifies third attributes; and (viii) transmit, by the second computational instance and to a third computational instance by way of the communication bus, the third communication request.

A device receives, from a cloud computing environment, cloud instance information associated with cloud instances in the cloud computing environment, and processes the cloud instance information, with a machine learning model, to determine containers for one or more of the cloud instances and whether cloud instances should be removed from the cloud computing environment. The device causes a first subset of the cloud instances to be removed from the cloud computing environment, based on determining which of the cloud instances should be removed, and causes the containers to be created for a second subset of the cloud instances based on determining the containers. The device receives, from the cloud computing environment, cloud container information associated with the containers created in the cloud computing environment, and causes one or more of the containers to be scaled based on the cloud container information.

Methods and apparatus for incentivizing device participation within a distributed network. In one exemplary embodiment, devices of a fog network may provide for example, computational, storage, and/or network resources in exchange for fungible tokens. In one such variant, the user contributions are recorded in a blockchain data structure, thereby enabling users to be compensated for their contributions of resources to the network at a later time. Unlike traditional networking techniques which often rely on centralized networks directing and/or commandeering user equipment for network bandwidth, the various aspects of the present disclosure are directed to ensuring that crediting and debiting of participation can be performed at the edge of the network (within the fog) without requiring authentication or trust exchanges. More directly, various aspects of the present disclosure are directed to verification and/or validation of work performed by peer devices.

A method comprising discovering workload attributes and identify dependencies, receiving utilization performance measurements including memory utilization measurements of at least a subset of workloads, grouping workloads based on the workload attributes, the dependencies, and the utilization performance measurements into affinity groups, determining at least one representative synthetic workload for each affinity group, each representative synthetic workload including a time slice of a predetermined period of time when there are maximum performance values for any number of utilization performance measurements among virtual machines of that particular affinity group, determining at least one cloud service provider (CSP)'s cloud services based on performance of the representative synthetic workloads, and generating a report for at least one of the representative synthetic workloads, the report identifying the at least one of the representative synthetic workloads and the at least one CSP's cloud services including cloud workload cost.

In one embodiment, a device of a software-defined wide area network (SD-WAN) receives, from a cloud-native application, contextual data for the cloud-native application that identifies microservices of the cloud-native application. The device translates the contextual data for the cloud-native application into a network policy for traffic in the SD-WAN associated with the cloud-native application. The device applies the network policy to a traffic flow in the SD-WAN between an endpoint and a particular microservice of the cloud-native application.

A communication method and a system for converging a 5th-Generation (5G) communication system for supporting higher data rates beyond a 4th-Generation (4G) system with a technology for Internet of Things (IoT) is provided. The disclosure is applied to intelligent services based on the 5G communication technology and the IoT-related technology, such as a smart home, a smart building, a smart city, a smart car, a connected car, health care, digital education, a smart retail, security and safety services. A method performed by a first entity performing a network data analytics function (NWDAF) is provided. The method includes receiving, from a second entity performing network function (NF), a first message for requesting observed service experience analytics, the first message including single-network slice selection assistance information (S-NSSAI) indicating a network slice, transmitting, to a third entity performing application function (AF) associated with the S-NSSAI, a second message for requesting service data associated with the observed service experience analytics, the second message including information on at least one application, receiving, from the third entity, the service data including at least one service experience for the at least one application, identifying the observed service experience analytics based on the service data, and transmitting, to the second entity, the observed service experience analytics.

Disclosed are a system and method of integrating an on-demand compute environment into a local compute environment. The method includes receiving a request from an administrator to integrate an on-demand compute environment into a local compute environment and, in response to the request, automatically integrating local compute environment information with on-demand compute environment information to make available resources from the on-demand compute environment to requesters of resources in the local compute environment such that policies of the local environment are maintained for workload that consumes on-demand compute resources.

The present disclosure relates to methods and systems for configuring service mesh networking resources for dynamically discovered external entities. The methods and systems create custom resource objects for services provided by the external entities and dynamically create service mesh network resources for the custom resource objects. The methods and systems enable communications with the external entities using the service mesh network resources.

Methods (700,800,900), devices (12,20,30,40), and systems (500,540,560,570,600) for managing a federated network slice (602) providing an extension of one or more virtual network functions (620) from a first network domain (502,608) to a second network domain (504,610). One method (700), by a second orchestration manager (20,512) of the second network domain (504,610), includes accessing (702) a first virtual network function management component (514,562) for extension of the one or more virtual network functions (620) from the first network domain (502,608) to the second network domain (504,610). The method (700) further includes initiating registration (704) of the first virtual network function management component (514,562) with a look-up service (518) to generate a first association between a first name of the first virtual network function management component and a first location of the first virtual network function management component in the second network domain (504,610). The method (700) further includes initiating transmission (706) to the first network domain (502,608) of the first name of the first virtual network function management component (514,562).