International Business Machines Corporation

Andrew John Anderson

Braulio Gabriel Dumba

Jun Duan

Gloire Rubambiza

An edge site maintains a plurality of rendezvous nodes to which a plurality of Internet of Things (IoT) devices are communicatively coupled, where the plurality of rendezvous nodes are also communicatively coupled to an edge hub in the edge site. A cached model is maintained at the edge hub, where the cached model enables the edge site to stay operational in an event of a failure of a cloud hub to which the edge hub is communicatively coupled.

Scalable mechanisms for workload management in edge computing

A computer-implemented method, system and computer program product for maximizing system scalability while guaranteeing enforcement of service level objectives. A request is received to access a backend database in a hierarchy of backend databases that includes heterogenous computing resources with a dynamic range of performance. Upon receiving the request, a reinforcement learning based filter determines if the request's frequency of access exceeds a cutoff frequency. If the received request is not filtered, but instead, is passed through the filter, then one of the backend databases in the hierarchy is selected. Such a selection is made by a load balancer that is trained using reinforcement learning to select the optimal backend database taking into consideration the storage size and speed of the backend databases as well as taking into consideration the user-specified service level objective to be met by the request to guarantee enforcement of such a service level objective.

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Stamford, CT, United States of America

Andrew John Anderson