International Business Machines Corporation

Kyndryl, Inc.

Matthew Mitchell Lobbes

Brian James Snitzer

Nathaniel James Gibbs

Shelbee D Smith-Eigenbrode

Michael Treadway

Brian M O'Connell

Swaminathan Balasubramanian

Shelbee D Eigenbrode

Mike Treadway

Multiple projector-enabled content targeting using diffraction grating is provided. A projector of a plurality of projectors in a display device is selected to project a particular color of a plurality of different colors at a predefined intensity to a content slot in a set of content slots via a corresponding diffraction grating to provide different content in full color images to respective viewers of a set of viewers at different viewing angles relative to the display device simultaneously. The different content is projected in the full color images to the respective viewers at the different viewing angles simultaneously using each particular projector of the plurality of projectors to project its particular color of the plurality of different colors at the predefined intensity to each particular content slot of the set of content slots via each corresponding diffraction grating.

Multiple projector-enabled content targeting using diffraction grating

Embodiments of the present invention provide a computer system, a computer program product, and a method that comprises identifying a first user of a plurality of users; identifying a location for the first user; transmitting input of the first user to a server computing device; and simultaneously displaying multiple personalized, dynamic displays using diffraction grating based off of input of the first user and location of the first user.

Dynamic visual display targeting using diffraction grating

Mitigating threats to container-based workloads is provided by a process that includes detecting an attack against a container hosting environment that includes active and reserve container pools. The attack poses a potential threat of contamination to hosted containers. Based on detecting the attack, the process identifies a time-to-contamination, taken as an amount of time for an active container of the active container pool to become contaminated as a result of the attack. The process provisions new containers into the reserve container pool at a determined rate that is based on the identified time-to-contamination, and continuously removes, from the active container pool, active containers servicing the workload and concurrently deploys reserve containers from the reserve container pool to the active container pool to replace the removed active containers and takeover servicing the workload.

Mitigating threats to container-based workloads

A method and system. The method includes receiving datacenter context input information, processing the datacenter context input information, and outputting the cost-versus-datacenter-quantity information. The processing the datacenter context input information may generate the cost-versus-datacenter-quantity information. The cost-versus-datacenter-quantity information is a total datacenter cost to run an application versus a quantity of datacenters used to run the application.

Optimization of steady state cost for multi-site high availability application deployment of management and managed intrastructure

Managing container applications by providing a registry of managed container base images, each managed container base image wrapped to include an injection point, determining that a managed container base image includes a vulnerability, and creating a patch script to address the vulnerability. Managing container applications further includes inserting the patch script at the injection point and issuing a pull command for an application using the managed container base image, to a container orchestration tool.

Managing software programs

A method of identifying targeted content includes deploying a plurality of internet bots configured to interact with content sources using predetermined patterns and profiles, wherein each individual internet bot of the plurality of internet bots includes at least one characteristic that is unique relative to the rest of the plurality of internet bots, collecting cause and effect data related to cause and effect of user interactions with content sources, receiving the cause and effect data collected by the plurality of internet bots, correlating user interactions with content sources using the cause and effect data collected by the plurality of internet bots, and identifying, how content is targeted to users by content sources from the correlating.

Targeted content identification and tracing

Approaches presented herein enable tailoring messages to enhance sharing and resonance based on a community fingerprint and a key influencer. More specifically, a message to be directed to members of an online social community is received. Members of the social community who influence the social community and their likelihood to re-share messages are identified. A re-share fingerprint for the identified influencer is generated that maps the influencer's likelihood to re-share content. A communications fingerprint of the community is also created using an amalgamation of the communication patterns and styles of individual members of the community. The received message is optimized to most effectively target the message to the online social community and to solicit a desired response from the community based on the community communication fingerprint. The optimized message can then be forwarded to the online social community.

Tailoring effective communication within communities

A computer-implemented for delivering tailored content to an individual includes: obtaining, by a computer system, communications of the individual; obtaining, by the computer system, a communication fingerprint for the individual based on analysis of the communications of the individual; tailoring, by the computer system, a message to the individual using the communication fingerprint; and delivering the message to the individual. Using sentiment analysis combined with a unique communication fingerprint for an individual advantageously provides for a more tailored, and thus more effective, communication to the individual.

Communication fingerprint for identifying and tailoring customized messaging

Approaches presented herein enable tailoring messages to enhance sharing and resonance based on a community fingerprint and a key influencer. More specifically, a message to be directed to members of an online social community is received. Members of the social community who influence the social community and their likelihood to re-share messages are identified. A re-share fingerprint for the identified influencer is generated that maps the influencer's likelihood to re-share content. A communications fingerprint of the community is also created using an amalgamation of the communication patterns and styles of individual members of the community. The received message is optimized to most effectively target the message to the online social community and to solicit a desired response from the community based on the community communication fingerprint and the re-share fingerprint of the influencer. The optimized message can then be forwarded to the online social community.

Targeting effective communication within communities

An approach for responding to a threat in a networked computing environment (e.g., a cloud computing environment) is provided. In an embodiment, a set of associations to a virtual machine (VM) instance are established, each association indicating a relationship between the VM instance and a related VM instance. Each of the associations in the set of associations is assigned a strength attribute. When a threat is detected in a VM instance, a first preventative measure is performed on a first related VM instance, the strength of which is determined based on the strength attribute that corresponds to the association between the VM instance and the first related VM instance. A second preventative measure is performed on a second related VM instance, the strength of which is based on the strength attribute that corresponds to the association between the VM instance and the second related VM instance.

Growing community of inventors

Northlake, TX, United States of America

Matthew Mitchell Lobbes