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.
Type:
Grant
Filed:
February 18, 2022
Date of Patent:
May 28, 2024
Assignee:
Section.io Incorporated
Inventors:
Daniel Bartholomew, Kurt Rinehart, Matthew Wickman, Gary Ritzer, Lucas Caballero, Glenn Slaven, Jason Stangroome, Pavel Nikolov, Ivan Hamilton, Calvin John Brewer
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.
Type:
Grant
Filed:
March 19, 2021
Date of Patent:
March 15, 2022
Assignee:
Section.io Incorporated
Inventors:
Daniel Bartholomew, Kurt Rinehart, Matthew Wickman, Gary Ritzer, Lucas Caballero, Glenn Slaven, Jason Stangroome, Pavel Nikolov, Ivan Hamilton, Calvin John Brewer