International Business Machines Corporation

Marcos Vinicius Landivar Paraiso

Sergio Varga

Silvia Cristina Sardela Bianchi

Alexandre De Queiroz Baltar

Marco Aurelio Stelmar Netto

Guilherme Steinberger Elias

Fabio Minoru Tanada

Edson Gomes Pereira

Marcio Da Ros Gomes

Claudio Einicker Garrido

Alexandre D Baltar

A method (and structure) to connect a mobile device to a local Wi-Fi network includes providing an input capability for a user of the mobile device to request to make a connection to a local Wi-Fi network. A processor on the mobile device retrieves, from a memory device of the mobile device, a listing of registered local Wi-Fi networks available at the user's current location. A request to connect to a selected one of the registered local Wi-Fi networks listed on the retrieved listing of registered local Wi-Fi networks is transmitted from the mobile device. The mobile device is connected to the selected registered local Wi-Fi network upon receipt of an indication by the selected registered local Wi-Fi network that the user has been validated and verified as trustable.

Trusted method for consuming and sharing Wi-Fi internet access

A method includes generating one or more computing deployment solutions, each of the one or more computing deployment solutions specifying one or more parameters for deployment of a corresponding computing solution. The method also includes evaluating adoption of the one or more computing deployment solutions by respective ones of a plurality of computing systems utilizing one or more component evaluators connected via a network to the plurality of computing systems. The method further includes generating one or more solution deployment adoption reports for respective ones of the one or more computing deployment solutions based on information obtained over the network from the plurality of computing systems, and presenting the one or more solution deployment adoption reports via a dashboard user interface.

Evaluating adoption of computing deployment solutions

As disclosed herein a computer-implemented method includes determining an initial workload configuration corresponding to a workload and requesting a new custom monitoring agent and a new custom monitoring profile corresponding to the initial workload configuration, and determining updated monitor tuning information corresponding to the workload. The method further includes updating one or more monitoring thresholds according to updated monitor tuning information responsive to determining the workload configuration has changed, requesting a new monitoring agent that includes a monitor corresponding to a changed workload configuration, and installing the new monitoring agent in the workload. Also disclosed herein a computer-implemented method includes receiving a request from a requester for a new monitoring agent corresponding to a workload, and creating the new monitoring agent according to a custom monitoring profile. The method further includes providing the new monitoring agent to the requester. A computer system and computer program product are also disclosed herein.

Autonomous and adaptive monitoring of workloads

A trust rating is computed for a data requester across one or more dimensions by identifying the data requester, collecting information regarding the data requester from one or more sources, and generating the trust rating for the data requester across the one or more dimensions based on the collected information. The trust rating is utilized to either grant or deny a request by the data requester to access data associated with one or more data providers.

Autonomous trust evaluation engine to grant access to user private data

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Sao Paulo, Brazil

Marcos Vinicius Landivar Paraiso