Abstract: A system described herein may monitor a set of local Key Performance Indicators (“KPIs”) associated with an edge computing device. The local KPIs may not be provided to a central orchestrator that is communicatively coupled to multiple edge computing devices. The system may monitor application KPIs associated applications implemented by the edge computing device, which may be provided to the central orchestrator. The orchestration models may include conditions associated with the set of local KPIs, and orchestration actions to perform with respect to the particular edge computing based on the conditions. The system may perform orchestration actions on the particular edge computing device based on the monitored local KPIs and application KPIs. The central orchestrator may identify that the application KPIs are below a threshold and perform a second set of orchestration actions with respect to the edge computing device, or one or more other edge computing devices.

Abstract: A system described herein may monitor a set of local Key Performance Indicators (“KPIs”) associated with an edge computing device. The local KPIs may not be provided to a central orchestrator that is communicatively coupled to multiple edge computing devices. The system may monitor application KPIs associated applications implemented by the edge computing device, which may be provided to the central orchestrator. The orchestration models may include conditions associated with the set of local KPIs, and orchestration actions to perform with respect to the particular edge computing based on the conditions. The system may perform orchestration actions on the particular edge computing device based on the monitored local KPIs and application KPIs. The central orchestrator may identify that the application KPIs are below a threshold and perform a second set of orchestration actions with respect to the edge computing device, or one or more other edge computing devices.

Abstract: Systems and methods described herein provide an application priority optimization service. Application information associated with an application to be deployed at a Multi-access Edge Computing (MEC) network is received and parameters associated with execution of the application are determined based on the application information. The application is deployed at the MEC network and information associated with performance of the application is obtained. Resources allocated for execution of the application may be adjusted based on the performance of the application to create a modified application and the modified application may be executed at the MEC network.

Abstract: Systems and methods described herein provide an application priority optimization service. Application information associated with an application to be deployed at a Multi-access Edge Computing (MEC) network is received and parameters associated with execution of the application are determined based on the application information. The application is deployed at the MEC network and information associated with performance of the application is obtained. Resources allocated for execution of the application may be adjusted based on the performance of the application to create a modified application and the modified application may be executed at the MEC network.