This application discloses a method for dynamically triggering instantiation of an edge application server, and an apparatus. The method includes: A first device receives first information, where the first information is for requesting information about an edge application server of a first application, or is for requesting information about a first edge enabler server, where the first edge enabler server is configured to provide information about an edge application server of a first application; and the first device requests, based on the first information, an edge application server management function entity to instantiate the edge application server of the first application. In embodiments of this application, the edge application server is instantiated based on a user requirement, so that dynamic scheduling and flexible use of a resource are improved, and quality of service experience of an edge application is improved.

Techniques for implementing rollback of infrastructure changes in an infrastructure orchestration service are described. In certain examples, an infrastructure orchestration service is disclosed that manages both provisioning and deploying of infrastructure assets within a cloud environment. The service receives a plan comprising a set of instructions associated with a set of infrastructure assets of an execution target and identifies a first state of the set of infrastructure assets. The service executes the set of instructions in the plan to achieve a second state for the set of infrastructure assets. Based in part on the executing, the service receives a trigger for rolling back the plan to restore the set of infrastructure assets in the plan to the first state and executes a rollback plan for the plan. The service then transmits a result associated with the execution of the rollback plan.

Techniques for implementing rollback of infrastructure changes in an infrastructure orchestration service are described. In certain examples, an infrastructure orchestration service is disclosed that manages both provisioning and deploying of infrastructure assets within a cloud environment. The service receives a plan comprising a set of instructions associated with a set of infrastructure assets of an execution target and identifies a first state of the set of infrastructure assets. The service executes the set of instructions in the plan to achieve a second state for the set of infrastructure assets. Based in part on the executing, the service receives a trigger for rolling back the plan to restore the set of infrastructure assets in the plan to the first state and executes a rollback plan for the plan. The service then transmits a result associated with the execution of the rollback plan.

Methods, apparatus, systems and articles of manufacture are disclosed for managing compute resources in a computing environment. Disclosed examples are to select an offering workload in a computing environment to lend at least one resource to a needy workload in the computing environment; Disclosed examples are also to cause a host associated with the offering workload to at least one of (i) instantiate a first virtual machine when the host is implemented with a second virtual machine or (ii) instantiate a first container when the host is implemented with a second container. Disclosed examples are further to assign the first virtual machine or the first container to the needy workload.

Methods, apparatus, systems and articles of manufacture are disclosed for managing compute resources in a computing environment. Disclosed examples are to select an offering workload in a computing environment to lend at least one resource to a needy workload in the computing environment; Disclosed examples are also to cause a host associated with the offering workload to at least one of (i) instantiate a first virtual machine when the host is implemented with a second virtual machine or (ii) instantiate a first container when the host is implemented with a second container. Disclosed examples are further to assign the first virtual machine or the first container to the needy workload.

Method for offloading calculation tasks between a user terminal and an edge host device in a communication network according to a multi-access edge computing technique, including steps of: Offloading data necessary for the execution of the calculation from the user terminal to the edge host device, and Transmitting data resulting from the calculation carried out by the edge host device, from the edge host device to the user terminal, wherein the offloading of data is controlled on the basis of joint criteria of energy efficiency and of minimization of exposure of a user of the user terminal to electromagnetic fields.

Method for offloading calculation tasks between a user terminal and an edge host device in a communication network according to a multi-access edge computing technique, including steps of: Offloading data necessary for the execution of the calculation from the user terminal to the edge host device, and Transmitting data resulting from the calculation carried out by the edge host device, from the edge host device to the user terminal, wherein the offloading of data is controlled on the basis of joint criteria of energy efficiency and of minimization of exposure of a user of the user terminal to electromagnetic fields.

Systems and methods are described herein for streaming during unavailability of a content server. Upon determining that there are conditions indicating buffering issues during delivery of a media asset, a server determines a first group of devices suitable for receiving the media asset from the server and sharing the media asset on a peer-to-peer network. Then, the server determines a second group of devices suitable for receiving the media asset on a peer-to-peer network from a first group device. The server then determines groupings within which to share and receive the media asset. Next, the server transmits instructions to the devices in the first group to maintain in buffer and share certain portions of the media asset with the second group devices within their grouping. Finally, the server updates information detailing the media asset portions the devices are maintaining in buffer and sharing.

A data processing system implements obtaining a set of input parameters associated with an update to be deployed to a plurality of server farms of a cloud-based service, wherein each server farm includes a primary replica configured to handle user traffic and a disaster recovery replica configured to handle user traffic responsive to a failure of the primary replica; determining temperature information for each of the server farms, ranking the server farms based on the temperature information to determine an order in which an update is to be deployed to the server farms; iteratively deploying the updates to the primary replicas of the server farms according to the ranking until an deployment threshold has been satisfied; and iteratively deploying the updates to the primary replicas of server farms for which the primary replicas have not yet been updated and to the disaster recovery replicas of the server farms.

Techniques are provided for managing resources among clusters of computing devices in a computing system. Resource reassignment message are generated for indicating that servers are reassigned and in response to resource compute loads exceed or fall below certain thresholds. Techniques also include establishing communications with the reassigned servers to assign compute loads without physically relocating the servers from one cluster to another cluster.