公开(公告)号：US12014196B2

公开(公告)日：2024-06-18

申请号：US17207815

申请日：2021-03-22

Applicant: KYNDRYL, INC.

Inventor： Ramesh Kumble ,  Prathima Maskeri ,  Malini Appalla

IPC: G06F9/455 ,  G06F17/18 ,  G06N5/04 ,  G06N20/20

CPC classification number: G06F9/45533 ,  G06F17/18 ,  G06N5/04 ,  G06N20/20 ,  G06F9/45541

Abstract: In an approach to improve the field of architecture generation by dynamically sizing computer system architecture requirements for virtual machines. Embodiments define static parameters and dynamic parameters for customer consuming resources of the computer system architecture and store data of the static parameters and dynamic parameters in data warehouse database (DWDB) tables. Further, embodiments compute, using the data of the DWDB tables, calculate the minimum, maximum, mean and standard deviation (SD) for the user count and the CPU and memory usage, and update the DWDB tables based on the minimum, maximum, and SD values per customer. Additionally, embodiments classify an architecture size associated with each of the customers, create a reference architecture for each of the one or more vertical industries and the architecture size, and optimize, by an analytical database, the computer system architecture provided to one or more customer based on the computed data of the DWDB for the one or more vertical industries.

公开(公告)号：US20220351269A1

公开(公告)日：2022-11-03

申请号：US17245323

申请日：2021-04-30

Applicant: Kyndryl, Inc.

Inventor： Prathima Maskeri ,  Jyoti Jitesh Chawla ,  Stefan A. G. Van Der Stockt

IPC: G06Q30/06 ,  G06Q30/02 ,  G06F16/9535 ,  G06F40/20 ,  G06K9/62

Abstract: A method, computer system, and a computer program product for personalized recommendations is provided. The present invention may include determining a momentum score for each item of a training data set. The present invention may include querying a recommendation engine for an initial list of items. The present invention may include generating a blended score for each item of the initial list of items, wherein the blended score is determined based on the momentum score and the confidence score for each item of the initial list of items. The present invention may include presenting a personalized list of recommendations to the user based on the blended score for each item of the initial list of items.

公开(公告)号：US20220300311A1

公开(公告)日：2022-09-22

申请号：US17207815

申请日：2021-03-22

Applicant: KYNDRYL, INC.

Inventor： Ramesh Kumble ,  Prathima Maskeri ,  Malini Appalla

IPC: G06F9/455 ,  G06F17/18 ,  G06N20/20 ,  G06N5/00 ,  G06N5/04 ,  G06F16/23

Abstract: In an approach to improve the field of architecture generation by dynamically sizing computer system architecture requirements for virtual machines. Embodiments define static parameters and dynamic parameters for customer consuming resources of the computer system architecture and store data of the static parameters and dynamic parameters in data warehouse database (DWDB) tables. Further, embodiments compute, using the data of the DWDB tables, calculate the minimum, maximum, mean and standard deviation (SD) for the user count and the CPU and memory usage, and update the DWDB tables based on the minimum, maximum, and SD values per customer. Additionally, embodiments classify an architecture size associated with each of the customers, create a reference architecture for each of the one or more vertical industries and the architecture size, and optimize, by an analytical database, the computer system architecture provided to one or more customer based on the computed data of the DWDB for the one or more vertical industries.