Systems and methods for media processing and streaming are provided. A method is performed by a Network-Based Media Processing (NBMP) source of a Framework for Live Uplink Streaming (FLUS) system. The method includes obtaining descriptions of capabilities of a FLUS sink via a FLUS source; and sending, to an NBMP workflow manager of the FLUS system via a path that does not include the FLUS source and the FLUS sink, a request to create or modify a workflow of the FLUS system based on the descriptions of the capabilities obtained.

As described herein, a system, method, and computer program are provided for generating a network slice experience index for evaluating a network slice. In use, a guaranteed quality of experience (QoE) is determined for a slice of a network. For at least one point in time, an actual QoE of the network overall is measured. A slice experience index is generated based on a delta between the guaranteed QoE and the actual QoE. The slice of the network is evaluated using the slice experience index.

Disclosed are various embodiments for managing radio-based private networks. In one embodiment, a cellular network comprises at least one cell that provides a radio-based private network coverage of a site of an organization. The system further comprises at least one computing device in a cloud provider network that implements one or more network functions for an associated core network of the radio-based private network.

A method for managing a cloud computing platform including an edge-side and a cloud-side sends a data collection service from the cloud side to the edge side environment to collect edge data indicative of one or more microservice architecture (MSA) parameters associated with one or more microservices in the edge side. An measurement of the edge data is performed to identify dependencies between one or more MSA parameters and one or more edge environment settings. Based at least in part on the MSA measurement, one or more edge environment optimizations are identified and one or more appropriate fixes are implemented within a cloud-side modified edge environment. Before distributing the modified edge environment to the edge, an in-cloud verification of the cloud-side modified edge environment.

Techniques are disclosed for utilizing directed acyclic graphs for deployment instructions. A computer-implemented method can include various operations. Instructions may be executed by a computing device to perform parses of configuration data associated with a deployment. The computing device may cause a first directed acyclic graph (DAG) to be generated, the first DAG being utilized for deploying a first resource based on the parses. A second DAG may be generated for deploying execution targets based on the parses, the second DAG specifying dependencies between execution targets of the deployment. The computing device may generate a linked list data structure based on the parses and may deploy the computing system by traversal of the linked list data structure.

Examples described herein provide a computer-implemented method that includes receiving source code to implement on the cloud infrastructure. The method includes receiving user-defined requirements. The method further includes determining, based on the source code and the user-defined requirements, multiple suitable cloud architectures from a plurality of cloud providers to operate the source code on the cloud infrastructure. The method further includes presenting, to a user, the multiple suitable cloud architectures. The method further includes implementing a selected cloud architecture for the cloud infrastructure based on a selection by the user.

Systems and methods are disclosed for managing workload among server clusters is disclosed. According to certain embodiments, the system may include a memory storing instructions and a processor. The processor may be configured to execute the instructions to determine historical behaviors of the server clusters in processing a workload. The processor may also be configured to execute the instructions to construct cost models for the server clusters based at least in part on the historical behaviors. The cost model is configured to predict a processor utilization demand of a workload. The processor may further be configured to execute the instructions to receive a workload and determine efficiencies of processing the workload by the server clusters based at least in part on at least one of the cost models or an execution plan of the workload.

A computer-implemented method can include receiving an indication of a template package to be imported in a sites cloud service and further determining whether there is a potential conflict in connection with the template package to be imported in the sites cloud service. The method can also include issuing a notification concerning the potential conflict in connection with the template package to be imported in the sites cloud service responsive to an indication that there is a potential conflict in connection with the template package to be imported in the sites cloud service.

A provisioning server for automated provisioning and associated methods are disclosed. The provisioning server extracts data from a data transfer instruction for a data provider addition based on a matching data transfer instruction template, and parses the extracted data in accordance with the matching data transfer instruction template to identify an account identifier. Data transfer information for an identified data provider and an identified account identifier from a data provider database are determined. The data provider database comprises data provider information comprising data provider names for a plurality of data providers registered with the provisioning server. A data provider record is generated and stored in a data provider list of the account in an account database. The data provider record includes the identified data provider name, identified account identifier and the data transfer information.

Disclosed is a network capability exposure method, which includes receiving a service request sent by a third-party device; determining a type of a network capability required according to the service request; determining a computing task matching the type of the network capability required; determining computing resources exposed by at least one physical device; obtaining a computing resource exposure result based on the computing task and the computing resources exposed by the at least one physical device; acquiring a network capability corresponding to the type of the network capability and the computing resource exposure result; and providing the network capability to the third-party device. Further, a network capability exposure device, a network capability exposure system and a non-transitory computer-readable storage medium are also disclosed.