Abstract: Systems, methods, computing platforms, and storage media for administering a distributed edge computing system utilizing an adaptive edge engine based on a finite state machine behavioral model are disclosed. Exemplary implementations may: select a first workload from one or more workloads; access, for the selected workload, one or more location optimization strategies from a plurality of location optimization strategies; and optimize an objective function across a portion of the one or more endpoints; select one or more endpoints; deploy the workload on at least one selected endpoint; monitor the health of the endpoint-workload deployment; and direct network traffic to the appropriate endpoint.

Abstract: Systems, methods, and storage media for administering a distributed edge computing system using a computing platform are disclosed. Exemplary implementations may: identify a plurality of computing clusters running at least one workload; collect data from the plurality of computing clusters; aggregate the data from the plurality of computing clusters; access a model; reconcile, based at least in part on accessing the model, one or more of the data from the data store and state data for the at least one workload to create reconciled cluster data; receive one or more messages from a user device; and in response to receiving the one or more messages from the user device, provide at least a portion of the reconciled cluster data to the user device.

Abstract: Systems, methods, computing platforms, and storage media for administering a distributed edge computing system utilizing an adaptive edge engine based on a finite state machine behavioral model are disclosed. Exemplary implementations may: select a first workload from one or more workloads; access, for the selected workload, one or more location optimization strategies from a plurality of location optimization strategies; and optimize an objective function across a portion of the one or more endpoints; select one or more endpoints; deploy the workload on at least one selected endpoint; monitor the health of the endpoint-workload deployment; and direct network traffic to the appropriate endpoint.

Abstract: Systems, methods, computing platforms, and storage media for administering a distributed edge computing system utilizing an adaptive edge engine based on a finite state machine behavioral model are disclosed. Exemplary implementations may: select a first workload from one or more workloads; access, for the selected workload, one or more location optimization strategies from a plurality of location optimization strategies; and optimize an objective function across a portion of the one or more endpoints; select one or more endpoints; deploy the workload on at least one selected endpoint; monitor the health of the endpoint-workload deployment; and direct network traffic to the appropriate endpoint.

Abstract: Systems, methods, computing platforms, and storage media for administering a distributed edge computing system utilizing an adaptive edge engine based on a finite state machine behavioral model are disclosed. Exemplary implementations may: select a first workload from one or more workloads; access, for the selected workload, one or more location optimization strategies from a plurality of location optimization strategies; and optimize an objective function across a portion of the one or more endpoints; select one or more endpoints; deploy the workload on at least one selected endpoint; monitor the health of the endpoint-workload deployment; and direct network traffic to the appropriate endpoint.