Abstract: Trace processing in a database system is facilitated by obtaining database trace data collected from database tracing a database system, and data analyzing, by one or more processors, the database trace data to determine one or more field-related rules to, in part, reduce impact on system performance of database tracing in the database system. Trace processing is further facilitated by applying the one or more field-related rules to a database trace in the database system to adjust trace fields of the database trace according to the one or more field-related rules, thereby reducing impact on system performance of the database trace in the database system.

Abstract: A method, computer program product, and system for managing parallel microservices are provided. The method may include identifying information pertaining to each of a plurality of target microservices to be invoked by an issuer microservice, a predefined condition associated with the plurality of target microservices, and an action to be executed by the issuer microservice in response to the predefined condition being satisfied. The method may also include sending a first request to available target microservices of the plurality of target microservices based on the information pertaining to the respective available target microservices. The method may also include, in response to receiving a response to the first request from an available target microservice of the available target microservices, determining whether the predefined condition is satisfied, and in response to determining that the predefined condition is satisfied, causing the action to be executed by the issuer microservice.

Abstract: A shift register unit, configured to generate a first gate drive signal and a second gate drive signal, which includes a first control circuit, configured to control a potential of a first node; a second control circuit, configured to control a potential of a second node; a first output circuit, configured to generate the first gate drive signal based on a first voltage signal provided by a first voltage terminal under the control of the potentials of the first and second nodes, and output the first gate drive signal through a first gate drive signal output terminal, wherein the first voltage signal provided by the first voltage terminal is a high level signal; and a second output circuit, configured to generate a second gate drive signal based on a second voltage signal provided by a second voltage terminal under the control of a potential of a control node, and output the second gate drive signal through a second gate drive signal output terminal.

Abstract: A method, system, and computer program product for recommending an initial database security model. The method may include identifying a plurality of nodes connected to a security network. The method may also include analyzing security characteristics of each node of the plurality of nodes. The method may also include identifying, from the security characteristics, key factors for each node. The method may also include calculating similarities between each node of the plurality of nodes. The method may also include building a self-organized centerless network across the plurality of nodes by grouping nodes with high similarities based on the similarities between each node, where the self-organized centerless network is a centerless network without a central management server, and includes groups of nodes from the plurality of nodes. The method may also include generating federated security models for the groups of nodes.

Abstract: An approach is provided for optimizing a join operation that includes receiving, by one or more processors of a computer system, a join request associated with a fact table and a plurality of related dimension tables; identifying, by the one or more processors of the computer system, a join relationship from the fact table and the plurality of related dimension tables; matching, by the one or more processors of the computer system, different tables of the fact table and the plurality of related dimension tables; filtering, by the one or more processors of the computer system using data parallelism, the fact table and the plurality of related dimension tables, wherein the filtering occurs prior to performing the join request; and performing, by the one or more processors of the computer system, the join operation pursuant to the join request.

Abstract: Trace processing in a database system is facilitated by obtaining database trace data collected from database tracing a database system, and data analyzing, by one or more processors, the database trace data to determine one or more field-related rules to, in part, reduce impact on system performance of database tracing in the database system. Trace processing is further facilitated by applying the one or more field-related rules to a database trace in the database system to adjust trace fields of the database trace according to the one or more field-related rules, thereby reducing impact on system performance of the database trace in the database system.

Abstract: Query content-based data generation includes obtaining a query having an outer query and one or more subqueries, converting predicates of a subquery to be predicates of the outer query, and thereby obtain a transformed query, generate from the transformed query a query block having a list of predicate(s) selected from the transformed query, obtaining column information based on the list of predicate(s) and using the column information to select data for a dataset such that data records from the dataset are produced as results to executing the obtained query against the dataset.

Abstract: Described herein is medical imaging technology for concurrent and simultaneous synthesis of a medical CA-free-AI-enhanced image and medical diagnostic image analysis comprising: receiving a medical image acquired by a medical scanner in absence of contrast agent enhancement; providing the medical image to a computer-implemented machine learning model; concurrently performing a medical CA-free-AI-enhanced image synthesis task and a medical diagnostic image analysis task with the machine learning model; reciprocally communicating between the image synthesis task and the image analysis task for mutually dependent training of both tasks. Methods and systems and non-transitory computer readable media are described for execution of concurrent and simultaneous synthesis of a medical CA-free-AI-enhanced image and medical diagnostic image analysis.

Abstract: Database recovery is based on workload priorities. A database workload is divided into a plurality of workload groups. A workload group of the plurality of workload groups is selected for recovery, in which the selecting is based on a priority of the workload group. One or more recovery actions are performed for the workload group selected for recovery.

Abstract: Systems and methods for pre-allocating and utilizing storage space in a relational database are provided. In embodiments a method includes: obtaining transaction data including data regarding record insertions in a relational database, wherein each record of the record insertions is associated with a key value; identifying a type of each of the record insertions as either a random insertion type or a key range insertion type based on the database transaction data, wherein the random insertion type comprises records associated with respective key values inserted in a random order, and the key range insert type comprises records associated with a range of key values inserted within a certain time period; predicting a new range of key values associated with future record insertions based on the type of each of the record insertions; and pre-allocating page space in one or more pages of the relational database for the future record insertions.

Abstract: A simulated dataset is queried for regression by validating a structured query language (SQL) statement, determining a pattern type of the SQL statement, reconstructing the SQL statement according to a predetermined process for the pattern type, creating a mutated SQL statement for querying a simulated dataset, and validating the mutated SQL statement. The simulated dataset is based on a confidential dataset having the confidential elements removed or replaced.

Abstract: Leveraging the competence of a computing cluster and a storage cluster by dynamically adjusting an SQL (structured query language) execution path to optimize system performance with fast response time under a distributed relational database on a data storage platform. Also, endpoint devices are divided into groups for the purpose of responding to queries and/or query blocks. The most suitable group of endpoint devices is chosen to respond to a given query or query block.

Abstract: A computer-implemented method selects an access path for high cost and/or complex queries. The method includes building a classification model configured to identify a lowest cost access path. The method further includes receiving a query, where the query is configured to retrieve a set of data from a database. The method also includes generating an access map for the query, where the access map includes one or more potential access paths to execute the query. The method includes collecting, for the query, a set of data for each potential access path. The method further includes classifying, by the classification model, the query. The method also includes selecting a first access path of the one or more potential access paths and executing the query.

Abstract: 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.

Abstract: A computer-implemented method to estimate an execution time for large query batches. The method includes identifying a batch of queries, where the batch of queries where each query is configured to retrieve data from a database. Selecting a first query and generating an access path for the first query including one or more mini plans. Building a learning model for the one or more mini plans. Estimating an estimated execution time for each of the one or more mini plans. Adding each of the estimated execution times for each of the one or more mini plans to determine a first total estimated time for the first query. Displaying the first total estimated time.

Abstract: Leveraging the competence of a computing cluster and a storage cluster by dynamically adjusting an SQL (structured query language) execution path to optimize system performance with fast response time under a distributed relational database on a data storage platform. Also, endpoint devices are divided into groups for the purpose of responding to queries and/or query blocks. The most suitable group of endpoint devices is chosen to respond to a given query or query block.

Abstract: An online system receives a request for a video to be presented by the online system to a target user. The online system determines whether to insert secondary content into the video. For such a determination, the online system identifies a position in the video for inserting secondary content. Further, the online system determines a loss score and a gain score. The loss score measures a loss of interaction by the target user if the secondary content were inserted. The gain score includes a monetary compensation to be received by the online system for inserting the secondary content at the identified position. The online system compares the loss score and the gain score. Based on the gain score offsetting the loss score, the online systems modifies the video by inserting the secondary content at the identified position and provides the modified video for display to the target user.

Abstract: Embodiments are disclosed for a method. The method includes determining demand resource for a batch jobs using a resource machine learning model trained to determine a cloud resource that the batch jobs use more than other resources during execution. The method further includes generating resource estimates for the demand resources. Additionally, the method includes determining a batch rating for a batch run using a batch rating machine learning model that is trained to generate a batch rating number based on features representing a priority of the batch run in reference to parallel execution batch runs. The method also includes generating a purchase recommendation for execution of the batch run on a cloud platform based on the resource estimates and the batch rating.

Abstract: In an approach for improving performance of a batch job running on database servers in an active-active architecture. A processor, responsive to a batch job being ready to be executed on a source database server, sends a first communication to a target database server with a synchronization start point. While executing the batch job, a processor utilizes a pre-lock function, pre-load function, and lock avoidance function to prevent lock conflicts. A processor, responsive to either the source database server or the target database server encountering a commit statement, suspends the respective database server and sends a second communication to ask if the other respective database server is ready to complete the commit statement. A processor, responsive to the other respective database server confirming its ready to complete the commit statement, completes the commit statement on both the source database server and the target database server.

Abstract: A method of managing a storage system comprises detecting a reference to a first page in the storage system. The method also comprises creating a first candidate block for the first page based on the detecting. The first candidate block may comprise a continuous series of pages that begins with the first page. The method also comprises monitoring subsequent references to pages within the first candidate block. The method also comprises determining that the first candidate block meets a first set of hot-block requirements. The method also comprises relocating the first candidate block to a hot-block space in a buffer pool based on the determining, resulting in a first hot block.