International Business Machines Corporation

Maja Curic

Sagar Tayal

Alecio Pedro Delazari Binotto

Christian Van Maastricht

David Jason Hunt

A computer-implemented method for creating a data transformation adapter for non-standardized data between a data producer unit and a data consumer unit in a data communication environment is disclosed. The method comprises analyzing first data specifications of the data producer unit, and analyzing second data specifications related to the data consumer unit. The method also comprises matching data attributes of the first specifications with data attributes of the second specifications, generating dynamically a plurality of data transformation adapters using the matched data attributes, selecting a verified adapter ensuring that the matched data attributes of the first specifications and the data attributes of the second specifications are transformed correctly, and generating a minimal data transformation child adapter from the verified adapter based on current dynamic performance requirements of a data consumer, and data attributes currently used by an application of the data consumer unit.

Create and optimize dynamic data adaptation layer in edge computing

Embodiments of the invention provide a computer-implemented method that includes intercepting, using a controller of a programmable network (PN), a deployment of a control application in the PN. Responsive to intercepting the deployment of the control application, a user experience (UE) analysis is performed. The UE analysis includes determining, based at least in part on a set of digital twins, a UE impact of the control application; and, based at least in part on the UE impact, generating a UE-based control application deployment recommendation. The UE analysis further includes deploying the control application based at least in part on the UE-based control application deployment recommendation.

Identifying the user experience and SLA fulfillment impact of control applications prior to deployment

An embodiment for coordinating edge computing in a mobile network by an MEC orchestrator. The embodiment may monitor deployment metrics and controlling deployment parameters related to a deployment of software applications on edge nodes of the mobile network The embodiment may receive an optimization report from a network orchestrator of the mobile network. The embodiment may, based on the optimization report, determine a current optimization efficiency of the mobile network. The embodiment may, if the optimization efficiency fulfils an inefficiency criterion, determine deployment suggestions having assigned one or more of the deployment parameters and being indicative of an expected response of one or more of the deployment metrics to a suggested variation of the assigned deployment parameters. The embodiment may transmit the deployment suggestions to the network orchestrator. The embodiment may, in response to receiving from the network orchestrator an indication of a selected deployment suggestion, apply the suggested variation.

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Munich, Germany

Maja Curic