International Business Machines Corporation

Kyndryl, Inc.

Nuance Communications, Inc.

Sougata Mukherjea

Kuntal Dey

Seema Nagar

Pramod Vadayadiyil Raveendran

Sumit Mittal

Venkatraman Ramakrishna

Vikas Agarwal

Saiprasad Kolluri Venkata Sesha

Amit Anil Nanavati

Dipanjan Chakraborty

Apurva Kumar

Sunil Goyal

Nitendra Rajput

Koustuv Dasgupta

Sarbajit Kumar Rakshit

Palanivel Andiappan Kodeswaran

Manish Anand Bhide

Ramasuri Narayanam

Sridhar R Muppidi

Vikrant Nandakumar

Gopal Sarma Pingali

Girish Dhanakshirur

Balaji Viswanathan

Gyana Ranjan Parija

Michael Edward Alexander

Rema Ananthanarayanan

Shalini Kapoor

George Thayyil Jacob Sushil

Rahul Singh

Anupam Joshi

Alwyn R Lobo

Prateek Goyal

Jayakarthik Jayabalan

Luba Cherbakov

Vinod Vinayak Mankar

Meghna Singh

Manish Satyapal Gupta

Arun Kumar

Malolan Chetlur

Jim Alain Laredo

Ravi Kothari

John J Ponzo

L Venkata Subramaniam

Suryanarayana K Rao

Pradipta De

Ramesh Chandra Pathak

Karan Ahuja

Nilanjan Banerjee

Murali Krishna Surampalli

Girish Bhimrao Chafle

Sheetal K Agarwal

Laura Zaihua Luan

Prasad G Naldurg

Santanu Bandyopadhyay

Pankaj Kankar

Sunil Chandra

Ritwik Chaudhuri

Shrihari Vasudevan

Bhuvan Bamba

Arvind Seshadri

Fenil Shah

Ashraf Ali Thajudeen

Arun Kandoth

Ayush Dubey

Anant Kumar

Kapoor Shalini

Usha N Raghavan

An embodiment includes identifying a robot that is available to perform a task involving an asset in a data center. The embodiment transmits a script to the robot that includes commands corresponding to actions to be executed by the robot in performing the task and transmits a dispatch command to the robot configured to enable the robot to travel from a robot resting place to the asset to begin the task. The embodiment relays a verification request received from the robot after the robot has completed a portion of the task to the vendor. The embodiment also relays, responsive to the verification request, an updated script based on updated instructions from the vendor for dynamically modifying the task to correcting an irregularity. The embodiment transmits, responsive to completion of the task, a recall command to the robot configured to enable the robot to travel from the asset to the robot resting place.

Managing shared robots in a data center

An embodiment of the invention may include a method, computer program product and system for deployment of microservices within a shared pool of configurable computing resources. An embodiment may include creating a dependency map for a plurality of microservices of an application deployed on the shared pool of configurable computing resources. An embodiment may include identifying attributes, with associated values, for each microservice of the plurality of microservices and identifying eligible deployment locations within the shared pool of configurable computing resources. An embodiment may include creating a bipartite graph based on the plurality of microservices and the identified eligible deployment locations. An embodiment may include applying bipartite matching to the shared pool of configurable computing resources based on the created bipartite graph. An embodiment may include, based on the applied bipartite matching, relocating one or more microservices within the shared pool of configurable computing resources.

Microservice placement in hybrid multi-cloud using graph matching

A system and method is provided to selectively process and store tables of a relational database by calculating an overall data sensitivity score for each table based on predefined attribute rules; performing column-wise splitting of at least one of the tables into a first table and a second table based on the overall data sensitivity score of each table, thereby generating a total number of relational database tables; storing a first subset of the total number of relational database tables in a private cloud storage database in a distributed storage environment based on the overall data sensitivity scores of each of the total number of relational database tables; and storing a second subset of the total number of relational database tables in a public cloud storage database of the distributed storage environment based on the overall data sensitivity scores of each of the total number of relational database tables.

Sensitivity-based database processing and distributed storage

Application-specific prioritization of streaming data replication. Data streamed from connected devices is selectively replicated to data storage clusters based on needs of the applications being served by the data. Data characterization supports prioritized replication processing. Statistical metrics compare streaming data with estimated values to characterize the data for prioritization.

Value-based replication of streaming data

Managing hybrid cloud resources by grouping at least a portion of the elements of a data set according to attribute sensitivity into a cluster of elements, computing a resource allocation impact of the cluster of elements, computing an information gain associated with the set of elements, and allocating cloud resources according to the resource allocation impact and information gain.

Management of data in a hybrid cloud for use in machine learning activities

A field-of-view of a scene is scanned by an augmented reality device. The scene includes one or more objects including a first computing device. A portion of an electronic document is detected based on the scanned field-of-view. The portion of the electronic document is rendered on a display of the first computing device. A content element of the electronic document that is rendered on the display is captured. A second computing device determines an incomplete portion of the content element. A suggestion to complete the incomplete portion is provided by the augmented reality device.

Document augmented auto complete

A method includes defining, by a computing device, a network of nodes of migration practitioners; receiving, by the computing device, working sets from the nodes defining ownership of data servers; determining, by the computing device, a consensus of ownership of the data servers amongst the migration practitioners; updating, by the computing device, the working sets using the consensus of ownership; distributing, by the computing device, the updated working sets across the nodes; obtaining, by the computing device, activity wrappers of migration activities on the data servers within the distributed working sets; generating, by the computing device, migration activities based on the obtained activity wrappers; determining, by the computing device, connectivity problems in the network; resolving, by the computing device, the connectivity problems in the network; allowing, by the computing device, a new node to join the network; and assigning, by the computing device, ownership of unowned data servers.

Distributing cloud migration

An approach is provided for providing record-level sensitivity-based data storage in a networked computing environment. For each data record of a plurality of data records (e.g., rows) in a dataset, the record sensitivity is identified based on the data included in the data record, allowing different sensitivities to be identified for different records in the same dataset. A data center that has a data center sensitivity level that matches the record sensitivity is selected for the identified record sensitivity. Each data record is stored to a selected data center, with data records having different record sensitivities being stored in different data centers of different types, locations, etc.

Record-level sensitivity-based data storage in a hybrid multi cloud environment

An approach is provided for detecting and analyzing an anomaly in application performance in a client-server connection via a network. A status code of a response sent by a server to a client, a round trip latency time (RTT) of the response, and a time out of a connection between client and server are determined. Using a k-means clustering algorithm, buckets of RTT values clustered into lower and higher values, and running counts and means for the RTT values in each bucket, an RTT value is determined to exceed a threshold value. Based on the status code, the RTT value exceeding the threshold, and the connection time out, the anomaly is detected. Based on temporal and textual analyses of log entries and an environment analysis, candidate root causes of a failure that resulted in the anomaly are determined.

Detecting and analyzing performance anomalies of client-server based applications

A computer generates a set of microservices associated with a monolithic system using a design diagram. The computer receives a system design diagram depicting a monolithic system and associated code artefacts. The computer identifies, using an object detection algorithm, a set of predefined shapes in the diagram, and each shapes is characterized by positioning coordinates. The computer extracts from the design diagram, using a text recognition algorithm, text associated with the shapes and labels them accordingly. The computer identifies, using the positioning coordinates, relationships among the predefined shapes. The computer arranges the predefined shapes into a hypergraph in accordance with, at least in part, the identified relationships. The computer determines similarity values between code artefacts and shape labels and associates artefacts with shapes accordingly. The computer groups, using a community detection algorithm, operatively-related nodes into a plurality of microservice node communities that represents the monolithic system.

Generating microservices for monolithic system using a design diagram

Assessing data center impact post disaster is provided. A data center is divided into hazard segments post disaster based on a combination of hazard type, hazard level, and hazard location identified in time series information from sensors and cameras. A financial value of each identifiable asset in the data center is calculated based on determined operational viability status, estimated soft value, and determined criticality of each identifiable asset. A time cost and an operational cost of impact assessment devices used to assess an impact on the data center and recover assets is calculated. A disaster assessed map is generated by overlaying the time series information, calculated financial values, and calculated time and operational costs on a digital floorplan of the data center. One or more types of impact assessment devices are assigned to each hazard segment at different time periods to rescue and recover financially valuable and operationally viable assets.

Data center impact assessment post disaster

A method and associated systems provide real-time response to a request received from a real-time system like a self-driving vehicle or a device that communicates interactively with its environment. The response is selected from a set of candidate feasible responses by a group of computerized agents that each sort the feasible responses in order of that agent's specific preferences, based on that agent's particular priorities or expertise. The agents then reconcile their differences through an iterative procedure. During each iteration, each agent decides whether to retain its current preferences or to adopt the preferences of another agent. This decision is made by determining which preferences are most similar to that agent's own initial preferences, and by which preferences would be most useful in helping to achieve that agent's particular goals. When the agents reach consensus, the group's most-preferred response is returned quickly enough to provide real-time, interactive response.

Real-time multi-agent response based on a preference-based consensus

A method for controlling the transfer of data through a firewall. The method includes one or more computer processors establishing a first communication channel between a first server and a second server. The method further includes transmitting, via the first communication channel, information related to a pending transmission of data from the first server to the second server. The method further includes receiving from the second server, via the first communication channel, a set of security information associated with accessing the second server via a second communication channel. The method further includes establishing the second communication channel between the first server and the second server based on the set of security information received from the second server. The method further includes transmitting the data from the first server to the second server utilizing the established second communication channel.

Multi-channel based just-in-time firewall control

Autonomous vehicle communications are managed by assigning vehicle clusters to process collected data as a unified cluster, whether transmitting the data to a remote server or processing the data by an assigned vehicle within the cluster. Efficient travel guidance is produced in a timely manner by reducing the network bandwidth usage and volume of data transferred by autonomous vehicles traveling on a roadway with other autonomous vehicles.

Edge computing for clusters of vehicles

Selective display of available objects based on eye-gaze characteristics with respect to currently displayed objects and certain attributes of the currently displayed objects. Similarity-driven selective display compares attributes of a displayed object receiving a fixed gaze to attributes of available objects and displays similar objects in addition to the displayed object receiving the fixed gaze.

Selective display of objects based on eye gaze attributes

Growing community of inventors

New Delhi, India

Sougata Mukherjea