The disclosure relates to a communication scheme for converging a 5.sup.th generation (5G) system for supporting a higher data rate after a 4.sup.th generation (4G) system with Internet of things (IoT) technology, and a system thereof. A wireless communication system, and more particularly, an application layer network structure for providing an edge computing device in a cellular wireless communication system (a 5G system), and a method thereof are provided. An edge enabler server (EES) receives a first message including information about one or more edge application servers (EASs) from an EAS management system, and transmits a second message for requesting instantiation for at least one EAS among the one or more EASs to the EAS management system, based on the information about the one or more EASs included in the first message. The information about the one or more EASs includes at least one of information about an identifier (ID) of each of the one or more EASs, information indicating whether each of the one or more EASs supports instantiation, or instantiation type information for each of the one or more EASs.

A method for execution in a storage network begins by generating a set of query requests for each data segment of a plurality of data segments that includes a corresponding set of slice identifiers of a plurality of sets of slice identifiers, where each slice identifier of the corresponding set of slice identifiers includes a pillar index based on a vault affiliated with the plurality of data segments. The method continues by transmitting the set of query requests to a set of storage units affiliated with the storage network, receiving a plurality of sets of query responses from the storage units, obtaining a data identifier for slice location identification and generating a storage record that includes the data identifier and an identity of the set of storage units. The method then continues by facilitating migration of at least some encoded data slices associated with the plurality of sets of slice identifiers when the storage record compares unfavorably to a storage record requirement.

A method for execution in a storage network begins by generating a set of query requests for each data segment of a plurality of data segments that includes a corresponding set of slice identifiers of a plurality of sets of slice identifiers, where each slice identifier of the corresponding set of slice identifiers includes a pillar index based on a vault affiliated with the plurality of data segments. The method continues by transmitting the set of query requests to a set of storage units affiliated with the storage network, receiving a plurality of sets of query responses from the storage units, obtaining a data identifier for slice location identification and generating a storage record that includes the data identifier and an identity of the set of storage units. The method then continues by facilitating migration of at least some encoded data slices associated with the plurality of sets of slice identifiers when the storage record compares unfavorably to a storage record requirement.

In a method of operating a content delivery network having a plurality of content caches to deliver requested content to at least one user device, the user device has one or more access network interfaces for connection to content caches of the content delivery network via one or more respective access networks, and the method is performed by a content delivery route decision function running on the user device and interfacing with the content delivery network and the access networks.

In a method of operating a content delivery network having a plurality of content caches to deliver requested content to at least one user device, the user device has one or more access network interfaces for connection to content caches of the content delivery network via one or more respective access networks, and the method is performed by a content delivery route decision function running on the user device and interfacing with the content delivery network and the access networks.

Various methods and systems for implementing request scheduling and processing in a multi-tenant distributed computing environment are provided. Requests to utilize system resources in the distributed computing environment are stored in account queues corresponding to tenant accounts. If storing a request in an account queue would exceed a throttling threshold such as a limit on the number of requests stored per account, the request is dropped to a throttling queue. A scheduler prioritizes processing requests stored in the processing queue before processing requests stored in the account queues. The account queues can be drained using dominant resource scheduling. In some embodiments, a request is not picked up from an account queue if processing the request would exceed a predefined hard limit on system resource utilization for the corresponding tenant account. In some embodiments, the hard limit is defined as a percentage of threads the system has to process requests.

Various methods and systems for implementing request scheduling and processing in a multi-tenant distributed computing environment are provided. Requests to utilize system resources in the distributed computing environment are stored in account queues corresponding to tenant accounts. If storing a request in an account queue would exceed a throttling threshold such as a limit on the number of requests stored per account, the request is dropped to a throttling queue. A scheduler prioritizes processing requests stored in the processing queue before processing requests stored in the account queues. The account queues can be drained using dominant resource scheduling. In some embodiments, a request is not picked up from an account queue if processing the request would exceed a predefined hard limit on system resource utilization for the corresponding tenant account. In some embodiments, the hard limit is defined as a percentage of threads the system has to process requests.

A method performed by a WTRU may comprise determining application layer information and receiving QoS policy configuration information. A QoS mechanism may be determined based on the application layer information and the received QoS policy configuration information. A QoS value applicable to the determined QoS mechanism may then be determined for a data packet. Subsequently, the determined QoS value may be transmitted to another WTRU over a PC5 interface, with or without the data packet. The QoS mechanism may be determined as one of a PPPP mechanism or a QFI mechanism. The QoS policy configuration information may be received via a gNB. In an embodiment, the application layer information may include an application identifier, a PSID or an ITS-AID. The QoS policy configuration information may indicate a mapping of V2X application IDs to respective QoS mechanisms.

A method performed by a WTRU may comprise determining application layer information and receiving QoS policy configuration information. A QoS mechanism may be determined based on the application layer information and the received QoS policy configuration information. A QoS value applicable to the determined QoS mechanism may then be determined for a data packet. Subsequently, the determined QoS value may be transmitted to another WTRU over a PC5 interface, with or without the data packet. The QoS mechanism may be determined as one of a PPPP mechanism or a QFI mechanism. The QoS policy configuration information may be received via a gNB. In an embodiment, the application layer information may include an application identifier, a PSID or an ITS-AID. The QoS policy configuration information may indicate a mapping of V2X application IDs to respective QoS mechanisms.

In an approach, a processor receives a request to deploy a workload in a container environment, where: the container environment comprises a plurality of external providers running container environment clusters; and the request (i) includes one or more requirements of the workload and (ii) does not specify a particular external provider of the plurality of external providers. A processor determines a cluster, from the plurality of external providers running the container environment clusters, that meets the one or more requirements of the workload. A processor deploys the workload on the determined cluster.