International Business Machines Corporation

Christopher Michael Bosko

Jeffrey B Sloyer

Chelsea Christine Beerse

Bryan Daniel Osenbach

Jeffrey S Sloyer

Brian D Osenbach

The method includes receiving, by one or more computer processors, data that includes at least one of audio data, video data, and optical data. The method further includes identifying, by one or more computer processors, keywords from the received data. The method further includes generating, by one or more computer processes, Internet search terms based upon the identified keywords. In some embodiments, the method further includes searching the Internet based upon the generated Internet search terms.

System for suggesting search terms

Multi-tenant and single-tenant methodologies are blended into a single solution to provide cost savings of multi-tenancy along with data security and privacy of a single-tenant environment. The cloud infrastructure is partitioned to include a first set of servers, and a second set of servers. The first set of servers are dedicated to a first operation, such as data presentation, while the second set of servers are dedicated to a second operation, such as data processing. The first set is operated in a multi-tenant operating mode, while the second set is operated in a single-tenant operating mode. Thus, the first set is available for general use, presenting data from any of the server(s) in the second set. The second set, in contrast, is dedicated to individual tenants. Preferably, each tenant has dedicated server(s) in the second set, which functions like a traditional, single-tenant environment providing inherent security and privacy guarantees.

Multi-tenant secure separation of data in a cloud-based application

An approach is provided for smart order management. Smart utensils measure consumption of a meal by a customer. The smart utensils include at least one processor to perform the measuring and a transmitter that transmits data corresponding to the measured consumption. The smart utensils transmit the measurement to a restaurant data collection device. The approach predicts, based on the measuring, a completion time of the meal by the customer and notifies restaurant staff members of the predicted completion time.

Smart order management

A method for managing resources of clusters is disclosed. A computer retrieves data about an event and other data about past events. The computer selects a set of past events that are similar to the event, based on the data about the event and the other data about the past events. The computer then analyzes the data about the event and the other data about the past events associated with the set of past events to identify a portion of the resources of one or more of the clusters required for use by the event.

Predictive scaling for clusters

A data processing system and computer program product for managing resources of clusters is disclosed. A computer retrieves data about an event and other data about past events. The computer selects a set of past events that are similar to the event, based on the data about the event and the other data about the past events. The computer then analyzes the data about the event and the other data about the past events associated with the set of past events to identify a portion of the resources of one or more of the clusters required for use by the event.

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Durham, NC, United States of America

Christopher Michael Bosko