International Business Machines Corporation

Sudheesh S Kairali

Sarbajit Kumar Rakshit

Vijay R Kalangumvathakkal

Binoy Thomas

Satyam Jakkula

Sudhanshu Sekher Sar

Jagdish Kumar

Ankur Tagra

Malarvizhi Kandasamy

Sunil Kumar S Singh

Vinit Jain

Nataraj Nagaratnam

Sreekanth Ramakrishna Iyer

Hariharan Krishna

Ashish Billore

Shajeer K Mohammed

Neeraj Kumar Kashyap

Rohit Pradeep Shetty

Gal A Shachor

Karunakar Bojjireddy

Madhuri Madhavan Pillai

Manish Anand Bhide

Saraswathi Sailaja Perumalla

Amitabha Biswas

Abhishek Seth

Srinivasan S Muthuswamy

James K Wong

Muthu Annamalai Muthiah

Shashidhar Bomma

Akash V Gunjal

Vrunda R Negandhi

Ashish Kumar Thakur

Indumathy Gururao

Abhinav Gupta

Swapnil Dongre

Smitha Padmanabhan

Lakshmi K R

Hans W Uhlig

Maureen Kraft

A method, computer program product, and computer system for optimizing locations of micro-warehouses that minimize an aggregate carbon footprint within a geographical region. A first trained artificial intelligence model is used to extract, for a geographical region, a product demand of users located in the geographical region over a fixed time period, and delivery location clusters within the geographical region. The delivery location clusters output by the first trained artificial intelligence model is input into a regression model, the regression model outputting recommended locations of temporary micro-warehouses within the geographical region. A second trained artificial intelligence model is used to modify the recommended locations and output optimized locations based on reducing an aggregate carbon footprint caused by emissions resulting from transportation to and from the temporary micro-warehouses.

Minimizing aggregate carbon footprint within geographical region

Provided is a computer-implemented method, system, and computer program product for displaying augmented reality (AR) visualization of a user action on an identified and/or recognized object. A processor may determine, for a user, an object interest level for each object of a plurality of known objects. The processor may detect one or more objects in an environment. The processor may identify, based on the object interest level, a first object of the one or more objects in the environment that is similar to at least one object of the plurality of known objects. The processor may determine, based on properties of the first object and the object interest level, an action for interacting with the first object. The processor may display, using an AR display, an avatar performing the determined action for interacting with the first object.

Augmented reality visualization of an action on an identified object

Aspects include processing the query from a client device to divide the query into a plurality of subqueries, identifying a data source that corresponds to each of the plurality of subqueries, and identifying an expected response time for each of the data sources. Based on a determination that at least one of the expected response times is greater than a default timeout threshold, aspects include classifying the query as a delayed split query and updating a timeout value of the query to be a delayed timeout threshold, which is greater than the default timeout threshold. Aspects also include performing the delayed split execution of the query.

Delayed split execution of a query

Mechanisms are provided for controlling docking of an edge capacity with a cloud computing system. A bill of materials (BOM) enabled agent, executing on the edge capacity, sends a BOM data structure specifying components of a configuration of the edge capacity. A lookup operation of components of the BOM data structure is performed in a BOM controls mapping data structure to identify controls or policies applicable to the components of the BOM data structure. The identified controls/policies are transmitted to the BOM enabled agent for execution to determine if there are any violations. Results of the identified controls or policies are received which specify whether there are any violations of the controls/policies. In response to at least one violation being detected, docking of the edge capacity with the cloud computing system is denied. In response to no violations, the edge capacity docks with the cloud computing system.

Dynamic SBOM based secure docking of edge capacity to existing computing systems

A method, computer program product, and computer system are provided for smart log shipping in a heterogeneous computing environment. A first edge device and a second edge device in a heterogeneous cloud computing environment are identified. The first edge device is caused to transmit collected log data associated with the first edge device to the second edge device based on a lack of network connectivity between the first edge device and a cloud data center. The transmitted collected log data is received from the second edge device.

Smart log shipping in a heterogenous cloud computing environment

A method, computer system, and a computer program product for data confidentiality is provided. The present invention may include detecting a confidentiality level of data within a source edge. The present invention may include identifying a required safety level of a route of travel based on the detected confidentiality level. The present invention may include selecting the route of travel based on the required safety level and the detected confidentiality level.

Data confidentiality based secure route maps and travel plans for edges based on minimal SCC agent

An embodiment establishes a transmission performance database that comprises performance data related to transmission of data across a plurality of data channels of a network. The embodiment defines an initial data chunk size for a first data object transmitted across a first data channel of the plurality data channels of the network. The embodiment transmits the first data object across the first data channel according to the initial data chunk size. The embodiment collects performance data for the first data channel. The embodiment evaluates transmission performance of the first data channel based at least in part on the performance data of the first data channel. The embodiment generates a recommendation to adjust the initial data chunk size of the first data object based on the transmission performance of the first data channel. The embodiment adjusts the initial data chunk size based at least in part on the recommendation.

Intelligent data ingestion chunk size optimization

A computer-implemented method according to one embodiment includes establishing a handshake between a security and compliance center (SCC) and a first operator of a first cluster via a manager component therebetween. An operand mapping of the SCC is updated, and the established handshake is used to cause the update to be communicated to the first operator of the first cluster. A computer program product according to another embodiment includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and/or executable by a computer to cause the computer to perform the foregoing method. A system according to another embodiment includes a processor, and logic integrated with the processor, executable by the processor, or integrated with and executable by the processor. The logic is configured to perform the foregoing method.

Using a handshake to communicate between a security and compliance center (SCC) and at least a first operator

A computer-implemented system and method protect a robot in a hazardous environment. The method comprises detecting, with a hazardous environment detector, the presence of a hazardous gas within a bounded environment defining the boundaries of the hazardous environment, and detecting a wind flow speed and wind flow direction proximate the hazardous environment detector. The method further comprises determining a hazardous gas concentration (HGC) that is at least one of a present HGC and a predicted future HGC, and reading, from a database, a maximum HGC for at least one of the robot and a payload of the robot. Conditioned upon the HGC exceeding a threshold value of the maximum HGC, the method directs the robot to move to a safe location in which the HGC does not exceed the threshold value of the maximum HGC.

Self-protection of robotic vehicles in invisible hazardous gaseous surrounding

A computer-implemented method performs dynamic filtering within a service mesh. While transferring data from one microservice to another microservice, each microservice evaluates a level of trust with each upstream and downstream microservice based on the level of trust score. Each microservice evaluates which data should be filtered while transferring data to downstream microservice and which data should be filtered while receiving data from upstream microservice.

Dynamic data filtering based on trust score within service mesh

A computer-implemented method according to one embodiment includes identifying a load that will be applied to a robotic structure, and determining whether the load, when applied to the robotic structure, would exceed a structural threshold of the robotic structure. In response to determining that the load, when applied to the robotic structure, would exceed the structural threshold, a position of one or more swarm robots with respect to the robotic structure is determined that would increase a structural strength of the robotic structure, and the one or more swarm robots are caused to assume the determined position. A computer program product according to another embodiment includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and/or executable by a computer to cause the computer to perform the foregoing method.

Increasing strength of a robotic structure using swarm robot(s)

A computer-implemented method, according to one embodiment, includes dynamically assigning reputation scores to a plurality of tasks, and dynamically assigning reputation scores to a plurality of edge nodes. The method further includes dynamically placing the tasks into the edge nodes based on the reputation scores assigned to the tasks and the reputation scores assigned to the edge nodes. A computer program product, according to one embodiment, includes a computer readable storage medium having program instructions embodied therewith. The program instructions are readable and/or executable by a computer to cause the computer to perform the foregoing method. A system, according to another embodiment, includes a processor, and logic integrated with the processor, executable by the processor, or integrated with and executable by the processor. The logic is configured to perform the foregoing method.

Dynamically placing tasks into edge nodes based on reputation scores

A computer-implemented method, a computer system, and a computer program product are provided. A first computer receives first data from a first sensor associated with a first user. The first computer uses artificial intelligence to generate a first recommendation for a replacement object for the first user. The generating is based on the first data. The first recommendation indicates ability of the replacement object to replace a first object associated with the first user. The first computer transmits the first recommendation for presentation to the first user.

Artificial intelligence-generated suggestion for item replacement

Systems, methods and/or computer program products predictively automating configurations of modular service zones servicing physical assets, maximizing reuse of service zone(s) and optimizing time for servicing a plurality of physical assets. Digital twin models of physical assets are classified, and arranged into workflows for the service zones, sequencing services performed on physical assets arriving at service centers and preparing service zones based on types of services requested, the estimated time of arrival and similarities between classifications of different digital twins of physical assets. Based on sequences of the workflow, arrival times of physical assets and overlap between parts, tools, machines, etc., within various service zones, service center coordinates robotic systems to arrange service zones in a manner that minimizes waiting time between services, maximizes the number of physical assets repaired within a period of time and reduces rearrangement of service zones between the services provided to different physical assets.

Proactive preparation of repair service site

A method, computer system, and a computer program product are provided for establishing security measures for a content. In one embodiment, the method comprises identifying at least a microservice chain in a network computer. Each microservice chain has more than one microservice linked to one another and each microservice includes a plurality of applications bundled together. Any use profiles associated with the microservice chain are identified and all data entry points into each microservice are determined. Each microservice is analyzed to predict when each microservice in the chain will provide a confidential output. Once any microservice chain is deemed to be providing a confidential output, any predicted exits in the microservice deemed to be generating an output content are upgraded so that all predicted exists provide a confidential output.

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Kozhikode, India

Sudheesh S Kairali