公开(公告)号：US20250110707A1

公开(公告)日：2025-04-03

申请号：US18476435

申请日：2023-09-28

Applicant: International Business Machines Corporation

Inventor： Lei Gao ,  Jin Wang ,  A Peng Zhang ,  Kai Li ,  Yan Liu ,  Geng Wu Yang

IPC: G06F9/38

Abstract: Computer-implemented methods for discovery and reuse of a high value pipeline segment are provided. Aspects include defining a set of datasets associated with a processing pipeline based on a set of data operations of the processing pipeline. Aspects also include generating a library of pipeline segments based on the processing pipeline and at least one dataset of the set of datasets. In some aspects, generating the library of pipeline segments includes adding a pipeline segment of the processing pipeline to the library based on one or more characteristics of a dataset generated by the pipeline segment, where the dataset is included in the set of datasets.

公开(公告)号：US12153953B2

公开(公告)日：2024-11-26

申请号：US17225427

申请日：2021-04-08

Applicant: International Business Machines Corporation

Inventor： A Peng Zhang ,  Lei Gao ,  Jin Wang ,  Jing James Xu ,  Jun Wang ,  Dong Hai Yu

IPC: G06F9/48 ,  G06F9/50 ,  G06F11/30 ,  G06F11/34 ,  G06F12/0893 ,  G06N20/00

Abstract: Mechanisms are provided for intelligently identifying an execution environment to execute a computing job. An execution time of the computing job in each execution environment of a plurality of execution environments is predicted by applying a set of existing machine learning models matching execution context information and key parameters of the computing job and execution environment information of the execution environment. The predicted execution time of the machine learning models is aggregated. The aggregated predicted execution times of the computing job are summarized for the plurality of execution environments. Responsive to a selection of an execution environment from the plurality of execution environments based on the summary of the aggregated predicted execution times of the computing job, the computing job is executed in the selected execution environment. Related data during the execution of the computing job in the selected execution environment is collected.

公开(公告)号：US11729273B2

公开(公告)日：2023-08-15

申请号：US17647094

申请日：2022-01-05

Applicant: International Business Machines Corporation

Inventor： Jin Wang ,  Lei Gao ,  A Peng Zhang ,  Kai Li ,  Jun Wang ,  Yan Liu ,  Jia Xing Tang

IPC: H04L67/143

CPC classification number: H04L67/143

Abstract: Systems and techniques for determining an idle timeout for a cloud computing session are described. An example technique includes determining a first one or more attributes associated with a user of the cloud computing session and determining a second one or more attributes associated with an operation of the cloud computing session. An idle timeout for the cloud computing session is determined, based at least in part on the first one or more attributes and the second one or more attributes. User activity is monitored during the cloud computing session. Upon determining, based on the monitoring, an absence of the activity of the user within a duration of the idle timeout, the cloud computing session is terminated.

公开(公告)号：US20220326982A1

公开(公告)日：2022-10-13

申请号：US17225427

申请日：2021-04-08

Applicant: International Business Machines Corporation

Inventor： A Peng Zhang ,  Lei Gao ,  Jin Wang ,  Jing James Xu ,  Jun Wang ,  Dong Hai Yu

IPC: G06F9/48 ,  G06N20/00 ,  G06F11/30 ,  G06F11/34 ,  G06F12/0893 ,  G06F9/50

Abstract: Mechanisms are provided for intelligently identifying an execution environment to execute a computing job. An execution time of the computing job in each execution environment of a plurality of execution environments is predicted by applying a set of existing machine learning models matching execution context information and key parameters of the computing job and execution environment information of the execution environment. The predicted execution time of the machine learning models is aggregated. The aggregated predicted execution times of the computing job are summarized for the plurality of execution environments. Responsive to a selection of an execution environment from the plurality of execution environments based on the summary of the aggregated predicted execution times of the computing job, the computing job is executed in the selected execution environment. Related data during the execution of the computing job in the selected execution environment is collected.

公开(公告)号：US20210133092A1

公开(公告)日：2021-05-06

申请号：US16675759

申请日：2019-11-06

Applicant: International Business Machines Corporation

Inventor： Lei Gao ,  Jin Wang ,  Kai Li ,  Dong Hai Yu ,  Rui Wang

IPC: G06F11/36

Abstract: Facilitating localization of code defect of an application includes receiving a set of element-value pairs generated by running the application with a test case. Further differences are identified between the set of element-value pairs and a baseline data result for the test case. Tree maps associated with respective elements are displayed in the set of element-value pairs, each of the tree maps representing relationship of code entities of the application related to its associated element, wherein one or more of the tree maps are marked out to show the differences thereby identifying potential defective codes of the application that have caused the differences.

公开(公告)号：US20240330020A1

公开(公告)日：2024-10-03

申请号：US18128106

申请日：2023-03-29

Applicant: International Business Machines Corporation

Inventor： Jin Wang ,  A Peng Zhang ,  Lei Gao ,  Xian Wu ,  Xiang Zhen Gan ,  Ke Du

IPC: G06F9/451 ,  G06F3/0482

CPC classification number: G06F9/451 ,  G06F3/0482

Abstract: Techniques are described with regard to user interface configuration in a computing environment. An associated computer-implemented method includes initializing an element layout within a set of user interface layers for a certain user based upon random determination, wherein the element layout includes a plurality of elements on which the certain user operates. Responsive to determining that a predefined user history data threshold is exceeded, the method further includes deriving weight metrics for the plurality of elements in association with each of the set of user interface layers based upon user history data, applying at least one layout mode to respective elements among the plurality of elements associated with each of the set of user interface layers based upon the derived weight metrics, and updating the element layout within each of the set of user interface layers for the certain user consequent to applying the at least one layout mode.

公开(公告)号：US20240012746A1

公开(公告)日：2024-01-11

申请号：US17811198

申请日：2022-07-07

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Lei Gao ,  Jin Wang ,  A PENG ZHANG ,  Kai Li ,  Jun Wang ,  Jing James Xu ,  Rui Wang ,  Xin Feng Zhu

IPC: G06F11/36

CPC classification number: G06F11/3692 ,  G06F11/3688

Abstract: Embodiments of the present disclosure relate to a method, system and computer program product for semantic search based on a graph database. In some embodiments, a method is disclosed. According to the method, the user jobs of a user are obtained from a first software product. Based on the user jobs, target test cases are selected from a plurality of test cases associated with the first software product and a second software product. The target test cases are applied to the first software product and the second software product, and in accordance with a determination that a result of applying the target test cases satisfies a predetermined criterion, an instruction is provided to indicate migrating from the first software product to the second software product. In other embodiments, a system and a computer program product are disclosed.

公开(公告)号：US20240007469A1

公开(公告)日：2024-01-04

申请号：US17809563

申请日：2022-06-29

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Jin Wang ,  Lei Gao ,  A PENG ZHANG ,  DAN SUN ,  Jing Zhang ,  Na Liu ,  Xun Pan ,  ZI YUN KANG

IPC: H04L9/40 ,  G06N20/00

CPC classification number: H04L63/10 ,  H04L63/20 ,  G06N20/00

Abstract: Computer technology for protecting data security in a computerized system for recommending content to users where, a processing unit generates an identifier for a first data record relating to a user device based on a first machine learning model. Then, the processing unit sends the identifier to a service provider, and the service provider uses the identifier to determine one or more contents to be sent to the user device. Creating and using a decision tree machine learning (ML) model and a cluster ML model with training records and a transformed records.

公开(公告)号：US20230297647A1

公开(公告)日：2023-09-21

申请号：US17655523

申请日：2022-03-18

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Xiao Ming Ma ,  Jin Wang ,  Lei Gao ,  A PENG ZHANG ,  Wen Pei Yu ,  Xin Feng Zhu

IPC: G06K9/62 ,  G06N20/00

CPC classification number: G06K9/6228 ,  G06K9/6261 ,  G06K9/6262 ,  G06N20/00

Abstract: A method, computer program, and computer system are provided for training a machine learning model. A feature associated with training data derived from a dataset is identified. A machine learning model is generated based on the training data. At least a portion of the training data associated with maximizing an importance value associated with the identified feature is selected. The importance value corresponds to a need associated with the machine learning model. One or more weight values is assigned to the selected portion of the training data. The machine learning model is updated based on the assigned weight values.

公开(公告)号：US20230267622A1

公开(公告)日：2023-08-24

申请号：US17651818

申请日：2022-02-21

Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION

Inventor： Jun Wang ,  Jing Xu ,  Wen Pei Yu ,  Lei Gao ,  Jin Wang ,  A PENG ZHANG

IPC: G06T7/246

CPC classification number: G06T7/246 ,  G06T2207/10016 ,  G06T2207/30236

Abstract: A method, a structure, and a computer system for object trail analytics. The exemplary embodiments may include obtaining time series data detailing an average speed of one or more roads within a traffic network at one or more times. The exemplary embodiments may further include extracting one or more features corresponding to the time series data, and generating one or more time series forecasting models based on the time series data and the one or more features. Additionally, the exemplary embodiments may include identifying a current location of a moving object within the traffic network, and predicting a speed of the moving object based on applying the one or more time series forecasting models to the current location.