International Business Machines Corporation

Intel Corporation

Intel Deutschland Gmbh

Koninklijke Philips Corporation N.v.

Nokia Corporation

Lenovo (beijing) Limited

Beijing Bytedance Network Technology Co., Ltd.

Intel Mobile Communications Gmbh

Boe Technology Group Co., Ltd.

Tsinghua University

Beijing Boe Optoelectronics Technology Co., Ltd.

Lumileds LLC

Nuctech Company Limited

China University of Petroleum

Capitalbio Corporation

Hong Mei Zhang

Shuo Li

Xiaobo Wang

Sheng Yan Sun

ShengYan Sun

Meng Wan

Peng Hui Jiang

Jun Su

Tao Sun

Lin Zhou

Zhiqiang Chen

Li Ni Zhang

Yu Wang

Yuanjing Li

Jian Li

Yinong Liu

Ping Wang

Jing Cheng

Kejun Kang

Haifeng Hu

Lei Li

Yi Bu Li

Jie Liu

Liwei Ma

Li Zhang

Zhen Wang

Yanzeng Fu

Yunshuai Tang

Jie Lei

Zhe Xu

Xiao Xiao Chen

Dajiang Zhang

Ji Liu

Haiyu Wang

Hong Shen

Yinzhu Liu

Luliang Jiang

Li Cao

Xuewu Wang

Heng Liu

Jingpeng Li

Yan Yang

Shu Hua Liu

Hongpeng Li

Gerd Lanfermann

Yuguang Fan

Weixin Meng

Xiaofeng Wu

Fang Chen

Shichao Wang

Dennis Gabriel Vetu

Jiqiang Song

Sung Hun Song

Guoliang Huang

Xianhua Wang

Fangzhong Shen

Frances Hwa Villafuerte

Liu Wang

Hongbo Yang

Minqiang Yang

Shijun Liu

Ye Tao

Tong Shi

Xiaoben Liu

Mei Cai Zeng

Xiao Hui Xh Wang

Zhuanni Jia

Hao Jia

Taishan Gao

Lijun Qiu

Chengqi Liu

Honglin Zhao

Systems and methods are provided to predict connection configurations in a distributed database environment. In embodiments, a method includes: building, by a computing device, a dynamic machine learning predictive model for a first new node connection in a distributed database environment based on configuration data of the first new node connection; determining, by the computing device, a group of nodes in the distributed database environment of a same type of node as the new node connection; federating, by the computing device, the dynamic machine learning predictive model of the first new node connection with other dynamic machine learning predictive models of other nodes in the group of nodes, thereby generating a federated predictive model for the same type of node; and generating, by the computing device, a predicted connection configuration for a second new node connection of the same type of node using the federated predictive model.

Database resource management using predictive models

A computer-implemented method to generate and utilize a hybrid index. The method includes receiving a first query, where the first query is configured to perform a first command. The method further includes generating a hybrid index, where the hybrid index defines a connection between a first table and a second table of a set of tables. The method also includes executing the first query using the hybrid index. The method includes returning a set of results for the first query to a source of the query.

Building cross table index in relational database

A video generation method, a video playing method, a video generation device, a video playing device, an electronic apparatus and a computer-readable storage medium are provided. The video generation method includes: acquiring a first video; performing an effect processing on the first video to obtain a second video; superimposing an dynamic effect on the second video to obtain a third video, wherein the dynamic effect comprises a dynamic image that presents a related information corresponding to the first video; and obtaining a fourth video based on the first video and the third video to generate a fourth video, wherein an image of the fourth video comprises a first image and a second image, the first video comprises an image of the first video, and a second image comprises an image of the third video.

Video generation method, video playing method, video generation device, video playing device, electronic apparatus and computer-readable storage medium

A computer-implemented method improves the performance of write ahead logging. The method includes generating a set of query data and a set of log data, where the set of log data is configured to create a write ahead log, and the set of query data is configured to make changes to data in a database. The method also includes writing the set of query data to a virtual file system. The method further includes separating the set of log data into a set of control intervals, where each control interval includes an entry. The method includes writing, each entry into a log buffer, where the writing the set of query data to the virtual file system and the writing each entry into the log buffer are performed in parallel. The method also includes combining each entry into a complete log.

Database log performance

A computer implemented method manages a location of database object descriptions in a storage, the computer implemented method. A number of processor units identifies a set of workload groups that are coming up for execution. The number of processor units loads the database object descriptions for the set of workload groups into a highest performance storage in a storage system. The number of processor units manages the location of the database object descriptions in the storage system based on access to database objects by set of workload groups.

Dynamic database object description adjustment

A popularity data processing method includes receiving a trigger operation for a target page, obtaining one or more target elements in a display state from one or more elements included in the target page, and obtaining popularity data of the target elements based on the trigger operation. A target element of the one or more target elements is an element in the target page belonging to a first display type or a second display type. The first display type is an element type that enters a display state from a hidden state in response to a received display operation, the second display type being different from the first display type.

System and method for processing and presenting popularity data

A method includes training, by a computing device, a model to identify SQL queries; identifying, by the computing device, incoming SQL queries; grouping, by the computing device, the incoming SQL queries into groups; monitoring, by the computing device, resource usage of the incoming SQL queries in the groups; and allocating, by the computing device, resources to an SQL query of the incoming SQL queries based on the monitoring.

Query resource optimizer

One or more computer processors generate a debug chain from one or more similar resource bound breakpoints, wherein the debug chain provides dynamic code flow. The one or more computer processors distribute the generated debug chain to one or more tenants.

Source code repository debug chaining

An embodiment includes executing a querying process that returns database documents containing text associated with a database environment. The embodiment tokenizes the database documents into a series of n-gram tokens and groups the tokens into topic classes using natural language processing (NLP). The embodiment also generates a feature map by applying a convolution layer to an image that depicts a database structure graph of the database environment. The embodiment detects an architectural element in the image by applying a region proposal network (RPN) to the feature map and classifies the architectural element into one of the plurality of topic classes using a trained neural network. The embodiment renders, responsive to a user selection of the architectural element, an overlay depicting information about the architectural element using text and other architectural elements that are in a same topic class as the user-selected architectural element.

Cognitive recognition and reproduction of structure graphs

A computer-implemented method includes: collecting, by a computing device, database activities and database structure information of a database; identifying, by the computing device, related columns in the database; determining, by the computing device, one or more data types for column transference of the identified related columns; generating, by the computing device, a super union column based on the column transference and the identified related columns; and updating, by the computing device, the database with the super union column.

Database query management using a new column type

Provided are techniques for building and using a sparse Time Series Database (TSDB). Time series records are received from a native TSDB, where each of the time series records includes a timestamp and one or more tags. Timeslots are determined for shards for the sparse TSDB based on the timestamp included in each of the time series records. The sparse TSDB is built by creating the shards for the determined timeslots and storing the time series records in the shards, while filling in empty ranges in the shards. A query that specifies at least one of the one or more tags is received. It is determined whether to execute the query against the sparse TSDB, and, in response to a determination to execute the query against the sparse TSDB, the query is executed against the sparse TSDB to generate results that are returned.

Building and using a sparse time series database (TSDB)

In a computer-implemented method for improving performance of a database optimizer, a processor calculates a first execution time for a database query executing through a first access path of a database system. A processor generates a second access path. A processor determines a second execution time via a simulation of the database query through the second access path. A processor determines that the second execution time is less than the first execution time. A processor, responsive to determining that the second execution time is less than the first execution time, sends the second access path to the database optimizer.

Access path for database optimizer

In an embodiment, a computer-implemented method comprises identifying a theme of a process based on a set of communication information. The set of communication information is generated corresponding to performing the process. The method further comprises determining a plurality of roles in the process at least partly based on the set of communication information. The plurality of roles performs respective actions during performing the process. The method further comprises generating a framework of the process based on the theme and the plurality of roles. The framework comprises one or more branches. In other embodiments, a system and a computer program product are disclosed.

Computer process management

A computer implemented method processes a query. A number of processor units processes the query to identify a result set in response to receiving the query from a first client. The number of processor units stores, the result set in a shared cache assigned to a group of clients, wherein result set stored in the shared cache is accessible by the group of clients. The number of processor units returns the result set to a second client in the group of clients from the shared cache in response to receiving the query from the second client in the group of clients.

Accelerating fetching of result sets

An embodiment for analyzing and tracking data flow to determine proper schemas for unstructured data. The embodiment may automatically use a sidecar to collect schema discovery rules during conversion of raw data to unstructured data. The embodiment may automatically generate multiple schemas for different tenants using the collected schema discovery rules. The embodiment may automatically use ETL to export unstructured data to SQL databases with the generated multiple schemas for the different tenants. The embodiment may automatically monitor usage data of the SQL databases and collect the usage data. The embodiment may automatically optimize schema discovery using the collected usage data. The embodiment may automatically discover schemas with hot usage and apply the discovered schemas with hot usage to other tenants for consumption and further monitoring.

Heterogeneous schema discovery for unstructured data

Growing community of inventors

Beijing, China

Hong Mei Zhang