International Business Machines Corporation

Boe Technology Group Co., Ltd.

Hefei Xinsheng Optoelectronics Technology Co., Ltd.

Hefei Boe Display Technology Co., Ltd.

Wuhan Boe Optoelectronics Technology Co., Ltd.

Beijing Boe Technology Development Co., Ltd.

Honeywell International Inc.

Beijing Boe Display Technology Co., Ltd.

William Marsh Rice University

Boe Technology Groupco., Ltd.

Chipone Technology (beijing) Co., Ltd.

Xingtai Gengli Electronic Commerce Co., Ltd.

Peng Hui Jiang

Jun Su

Guang Han Sui

Sheng Yan Sun

Ke Dai

Haipeng Yang

Shuo Li

Xiaobo Wang

Dong Hui Liu

Xin Peng Liu

ShengYan Sun

Su Liu

Hong Mei Zhang

Meng Wan

Lin Sun

Jing Li

Wen Jun Yin

Michael Baessler

Jing Lu

Jiantao Liu

Bin Xu

Si Bin Fan

Feng Gao

Wei Wu

Yan Xu

Yan Sun

Dong Li

Xiao Ling Chen

Yanping Liao

Yuanhui Guo

Li Tian

Gang Tang

Ping Xiao

Yue Wang

Feng Zhang

Xiang Sean Zhou

Xiaoxiao Chen

Meng Wang

Jing Chen

Jing Wang

Ming Lei Zhang

Jian Xu

Cheng Xu

Hui Zhao

Timo Kussmaul

Yang Hu

Rui Liu

Chun Long Wang

Wen Liu

Heng Wang

He Huang

Jing Yan Ma

Xi Ning Wang

Li Cao

Lei Wang

Jonathan D Dunne

Wei Li

Dong Chen

Hui Wang

Xin Zhang

Yue Li

Xibin Shao

Yu Gu

Jing Zhang

Jie Zhang

Cheng Fang Wang

Ning Liu

Jun Feng Liu

Liang Wang

Jian Nan Guo

Johnny Menh-Han Shieh

Xiao Ming Ma

Peng Chen

Wei Guo

Tao Yang

Zhi Jun Wang

Yong Wu

Wen Jie Wang

Nan Li

Fan Jing Meng

Yi Liu

Yan Huang

Lei Han

Jia Zou

Chen Liu

Jian Zhao

Bo Tong Liu

Miao Liu

Xiaoye Ma

Xiao Dong Li

Dongchuan Chen

Binbin Cao

Li Ni Zhang

Yue Chen

Yingmeng Miao

Chih-Wen Su

Xue Ying Zhang

Lei Tian

Chengshao Yang

In an approach, a processor receives, at an edge node, a message from an IoT device associated with the edge node, the message being embedded with at least one non-fungible token (NFT) and each of the at least one NFT representing a corresponding authorization associated with the IoT device. A processor retrieves, at the edge node, the at least one NFT from the received message. A processor validates, at the edge node, the received message based on the retrieved at least one NFT. A processor, responsive to validating the received message, forwards, by the edge node, the received message to a center node associated with the edge node.

Authorization management in an internet of things (IoT) network

A computer-implemented method for building and using a multi-party Attestation Model for controlling operation of a multi-tenant cloud infrastructure which includes providing a trusted execution environment (TEE) within the multi-tenant cloud infrastructure, receiving a set of requirements from each of a plurality of tenants of the multi-tenant cloud infrastructure, building an Attestation Model according to the sets of requirements, and deploying the Attestation Model within the TEE. In response to a determination that a change does not satisfy the Attestation Model for each of the plurality of tenants, a function is performed to separate components shared between tenants for which the change satisfies the Attestation Model from components shared between tenants for which the change does not satisfy the Attestation Model, and the change is deployed on the multi-tenant cloud infrastructure for the tenants for which the change satisfies the Attestation Model.

Building and using attestation model in confidential computing

Computer implemented methods, systems, and computer program products include program code executing on a processor(s) obtains a given query referencing a LOB. The program code obtains statistics and activities performed in the database system, establishes performance benchmarks, and analyzes the given query to determine how the LOB is utilized. The program code determines that meeting a benchmark requires replacing a reference to the LOB with a reference to implicit column(s). The program code executes the given query by referencing the implicit column(s) to obtain query results. The program code returns the query results.

High-performance large object operations

Shutdown intervals between nodes of a dependency tree are determined. The dependency tree represents a system to be shut down and the nodes represent system components of the system. The determining the shutdown intervals includes calculating, for a pair of nodes of the dependency tree, a shutdown interval. The calculating is based on a relationship between the pair of nodes. The calculating is repeated for a plurality of pairs of nodes to obtain a plurality of shutdown intervals. The plurality of shutdown intervals is used in a shutdown of the system components. At least one system component represented by at least one node on a higher node level of the dependency tree is to be shut down prior to at least one other system component represented by at least one other node on a lower node level of the dependency tree.

System shutdown based on tuned shutdown intervals

A method, computer system, and a computer program product for application modernization is provided. The present invention may include receiving operation data related to an application. The present invention may include identifying a plurality of entities based on the operation data related to the application. The present invention may include identifying one or more interactions between each of the plurality of entities. The present invention may include determining an energy consumption pattern for the application by analyzing a consumption of energy related to workload. The present invention may include determining a modernization scope for the application based on the energy consumption pattern.

Modernizing application components to reduce energy consumption

Computer implemented methods, systems, and computer program products include program code executing on a processor(s) to: obtain queries (each query including workload(s)); obtain execution statistics for the one or more workloads; normalize one or more queries. Normalizing includes generating cost analytics, identifying similar cost analytics for query blocks across the queries, and applying a cost model to identify at least one query block for result reuse across. The program code distributes the queries to system resources by assigning the at least one query block (in more than one query/workload) to a first resource to execute (as part of a first workload) against database tables and assigning the at least one query block to a second resource to execute (as part of a first workload) against a shared cache of a heterogenous database system.

Workload performance improvement on heterogeneous systems

Computer implemented methods, systems, and computer program products include program code executing on a processor(s) obtains queries from sources via a query interface. The program code analyzes the queries to obtain attributes of the queries. The program code applies a trained classifier to the attributes to classify the queries into finite categories based on a predicted usage of a given resource type exceeding a pre-determined threshold and an anticipated execution duration for each query. The program code determines, based on the finite categories of the one or more queries and resource configurations of resources comprising the database service, which resource of the resources can efficiently execute each query of the one or more queries. The program code schedules each query of the one or more queries for execution by the determined resources.

High-performance resource and job scheduling

Methods for managing a connection pool for cloud-based applications accessing databases are provided. Aspects include establishing a plurality of connections to one or more databases, receiving connection requests from a plurality of cloud-based applications to access the one or more databases, and allocating the connection requests to among the plurality of connections, where the allocation is determined based at least in part on one or more connection pool parameters. Aspects also include monitoring a usage of the plurality of connections by the plurality of applications and updating the one or more connection pool parameters based on an analysis of the usage of the plurality of connections by the plurality of applications.

Managing a connection pool for cloud-based applications accessing databases

A computer-implemented method, system, and computer program product for adapting scripts from a source platform to be utilized in a target platform when porting. Traces of system calls from the commands in the source and target platforms are analyzed to identify building blocks. A tree structure for each command of the source and target platforms is constructed with one or more building blocks from the identified building blocks. Commands of the target platform with a functionality within a threshold degree of similarity to the commands of the source platform are identified by analyzing the building blocks of the commands' tree structures. Alternative commands for the commands of the source platform, such as those commands that are not supported by the target platform, may be generated using such identified commands. The script from the source platform may then be adapted to be utilized in the target platform using such alternative commands.

Adapting scripts from a source platform to be utilized in a target platform

Techniques for hierarchical encryption for data storage are disclosed, in one or more embodiments. These techniques include parsing an electronic database storage request, based on the syntax of the request, to identify a plurality of request elements and determining, using one or more trained machine learning (ML) models, one or more sensitivities associated with the plurality of request elements. The techniques further include identifying one or more encryption techniques for the plurality of request elements based on the one or more sensitivities, encrypting data associated with the database storage request using the identified one or more encryption techniques, and storing the encrypted data and one or more associated encryption keys in an electronic database, using the electronic database storage request.

Database hierarchical encryption for hybrid-cloud environment

A method for transmitting web-conference content over a network connection is disclosed. In one embodiment, such a method conducts a web conference over a network connection. The method monitors characteristics of the network connection in order to determine bandwidth of the network connection during the web conference. The method implements, on the network connection, a 'raw' mode wherein audio data of the web conference is transmitted over the network connection in an original format. Upon detecting a low bandwidth condition on the network connection, the method toggles from the “raw” mode to a “saving” mode where audio data of the web conference is converted to text at a first end of the network connection, transmitted over the network connection as text, and converted from text back to audio data at a second end of the network connection. A corresponding system and computer program product are also disclosed.

Network bandwidth determination for adaptive web-conference rendering and transmission

Embodiments analyze an incoming query for a database, train a query model using machine learning based on the analyzing of the incoming query, determine a model result based on the trained query model; extract a similar information query based on the model result, generate a recommendation for query tuning and a visual impact of the recommendation for the query tuning based on the extracting of the similar information query, and output the recommendation for the query turning and the visual impact of the recommendation for the query tuning.

Recommendations for changes in database query performance

Embodiments analyze a query pattern of an incoming query on a database, perform a semantic analysis of the query pattern of the incoming query, generate a re-write query that has an improved query performance in comparison to a query performance of the incoming query based on the analyzed query pattern and the semantic analysis; build a query model using machine learning based on at least one of the query pattern and the semantic analysis; and apply the re-write query by performing the re-write query on the database to provide the improved query performance.

Query performance discovery and improvement

A method, including: monitoring resource utilization of an operating system (OS) with applications utilizing larger pages; determining the monitored resource utilization is greater than a threshold resource utilization; in response to the determining the monitored resource utilization is greater than a threshold resource utilization, determining a respective larger pages index value for each of the applications utilizing larger pages; and turning off larger pages utilization of a subset of the applications utilizing larger pages, wherein the subset comprises a predefined number of the applications utilizing larger pages that have highest determined larger pages index values.

Dynamic management of larger pages during runtime

A method includes: obtaining at least one real-time console log from a compute instance; tagging the at least one real-time console log with at least one log category based on at least one entry within the at least one real-time console log; generating at least one categorized console log; generating at least one encrypted categorized console log based on a public encryption key; publishing the at least one encrypted categorized console log to a log bus; communicating the at least one encrypted categorized console log over at least one multi-port secure tunnel to a user terminal device of a subscribed user; and publishing a private encryption key to the user terminal device of the subscribed user wherein the private encryption key facilitates decrypting the at least one encrypted categorized console log.

Secure console log interaction in a data center

Growing community of inventors

Beijing, China

Peng Hui Jiang