International Business Machines Corporation

Madhu Akhilesham

Shailendra Moyal

Akash U Dhoot

Venkata Vara Prasad Karri

Niteen D Lakhe

Energy conversion and distribution can include converting sound energy to electrical energy using one or more energy converters positioned within a predetermined area. Multiple devices can be classified to indicate an energy requirement of each device, and the electrical energy converted from sound energy can be allocated to one or more of the devices based on the classifying. Delivery of the electrical energy allocated to each of the one or more devices can be controlled using a switching mechanism to create a transmission channel with respect to each of the one or more devices.

Directed energy conversion and distribution

A computer-implemented method, system and computer program product for seamlessly adjusting the utilization of computational resources of a computing device. A pattern of usage of computational resources of the computing device over a timeframe is determined. An artificial intelligence model uses such a pattern of usage and/or any identified contextual needs for upgrading or downgrading the computational resources of the computing device to determine the predicted amount of computational resources needed to be utilized by the computing device. Based on such a predicted amount, a blockchain transaction may be initiated and recorded to upgrade/downgrade the computational resources of the computing device. The rules on a smart contract, which defines a subscription for utilizing an allocated portion of the computational resources by the user, associated with the computing device are then updated based on the blockchain transaction which adjusts the amount of computational resources available to be utilized by the user.

Upgrading or downgrading hardware by seamlessly adjusting usage of computational resources on computing device

A method, a computer program product, and a system for infrastructure discovery and service offering. The method includes discovering configuration information of components on an IT infrastructure of an enterprise. The method also includes discovering components, resources, and workload characteristics based on the configuration information. The method further includes analyzing the configuration information, components, resources, and workload characteristics to determine predictive need analytics and discovering applications operating within the IT infrastructure. The method also includes comparing the applications and predictive need analytics to cloud-based services to detect service compatibilities, and generating a decision-making chart based on the service compatibilities, wherein the decision-making chart indicates migratable components and applications in the IT infrastructure.

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Pune, India

Madhu Akhilesham