27 results about "Active database" patented technology

Systems and methods of loopback control in multi-active database synchronization are provided. A first database instance and a second database instance are configured with two-way synchronization. A synchronization tool detects a first log change in a first operation log associated with the first database instance. The first log change includes a first operation entry associated with a first data operation on a first data record in the first database instance. The first data record includes a first synchronization tag field comprising a first source tag representing a first data source associated with the first data operation on the first data record. If the source tag contains the identification of the second database instance, the synchronization tool skips the first operation entry, without synchronizing the first data operation to the second database instance to avoid data loopback.

Techniques are described herein for probabilistic monitoring of high-frequency, low-latency database queries. In some embodiments, a probabilistic query monitoring system periodically samples active database sessions. For example, the system may generate sample data every one second or at some other sampling rate for each database session that is currently active. The sample data may include a mapping between query identifiers to sample counter values that are extracted at different sample intervals. The system may then estimate performance metrics for the set of active database based on the counter values sampled across consecutive sample intervals.

The invention provides a digital intelligent carbon emission integrated measurement management method and platform, and relates to the technical field of carbon emission management, and the method comprises the steps: collecting multi-source carbon emission related data of a target management region through a preset data interface and Internet of Things equipment; correlation and fusion are carried out on multi-source carbon emission related data, and an integrated carbon activity database is constructed; calling a built-in carbon emission factor library, carrying out automatic accounting and dynamic metering on carbon emission of an organization level and a product level, and generating a real-time carbon emission flow map; carbon footprint tracing and hot spot analysis of the whole life cycle are carried out by combining a product bill of material and a production process path, and a key emission link is positioned; and carrying out visual display on the real-time carbon emission flow map and the key emission link. According to the invention, the technical problem that the carbon emission management and control efficiency is further affected due to the fact that a specific emission link cannot be positioned due to data islands and post accounting in the prior art is solved.

A method for managing data protection operations includes obtaining, by a data protection system, a policy request for configuring a data protection policy on the database system, wherein the database system comprises at least one active computing node, in response to obtaining the policy request: making a first determination that a first computing node of the database system has been discovered via deep discovery, updating a selection of computing nodes with the first computing node, making a second determination that a second computing node of the database system has not been discovered via the deep discovery, not including the second computing node in the selection, and performing a protection configuration on the selection of computing nodes to install the data protection policy to each computing node in the selection of computing nodes, and wherein the data protection policy comprises storage location information used for backing up a database.

The invention discloses a market inspection trajectory optimization management system and method based on RFID multi-modal data fusion, and belongs to the field of market inspection trajectory optimization, and the method comprises the following steps: continuously collecting data of a market global sensor, a camera and an RFID reader-writer and POS transaction data of a commercial tenant at different time periods; a dynamically updated three-dimensional space thermal distribution diagram is constructed in combination with a new store opening schedule and a historical activity database; on the basis of the fused historical data, constructing a merchant fire explosion degree prediction model, pre-judging the risk level of the hot spot area in the next 2 hours, and generating a periodic pre-planned inspection route; according to the method, the thermodynamic diagram is constructed by collecting the multi-source data, the model is trained to pre-judge the risk and generate the pre-planned route, meanwhile, the people flow deviation is monitored in real time, the trajectory is dynamically optimized, and the market inspection efficiency and the management level can be effectively improved.

Various methods and processes, apparatuses / systems, and media for separating or distributing database calls between active and passive databases are disclosed. A processor establishes a communication link between a passive database and an active database via a communication network; executes real-time syncing of data between the active database and the passive database by implementing a replication algorithm; receives a request from an application user to generate a report corresponding to the application; implements a batch processor, at an application level, to separate read-only operations from read and write operations associated the application; and separates or distributes database calls, at the application level, between the active database and the passive database in a manner such that the read-only operations are directed to the passive database and the read and write operations are directed to the active database.

Various methods and processes, apparatuses / systems, and media for separating or distributing database calls between active and passive databases are disclosed. A processor establishes a communication link between a passive database and an active database via a communication network; executes real-time syncing of data between the active database and the passive database by implementing a replication algorithm; receives a request from an application user to generate a report corresponding to the application; implements a batch processor, at an application level, to separate read-only operations from read and write operations associated the application; and separates or distributes database calls, at the application level, between the active database and the passive database in a manner such that the read-only operations are directed to the passive database and the read and write operations are directed to the active database.

The application provides a game activity configuration method and device, electronic equipment and a storage medium. The game activity configuration method comprises: confirming a configuration table corresponding to a game activity to be configured, the configuration table containing first activity data corresponding to the game activity and being visualized, at least part of the first activity data in the configuration table being selected from a preset activity database; generating a code file corresponding to the game activity according to the configuration table, the code file comprising second activity data corresponding to the first activity data and readable by a preset game activity program; and initializing the game activity according to the code file. The game activity configuration method of the embodiment of the application can realize content modification and deployment of the game activity while reducing the involvement of the developer, reduce the labor cost of game activity configuration, and improve the efficiency of game activity update iteration.

A system and method for omnichannel text-based communication using adaptive instructions. The system is a cloud-based network containing a campaign database, an analytics database, an adaptive advertisement management, a short message service server with automated response capabilities, and user mobile and compute devices that transmit a vehicle description page associated with an advertisement campaign embedded with a communication initiator for display on a customer computing device. Taken together or in part, said system optimizes advertising campaigns across multiple platforms, provides strong analytics for all advertising types while allowing users to engage with advertising quickly and in a real-time automated fashion.

A method for providing health record data includes receiving data from a user, generating a victim dataset from the data, and storing the victim dataset in a victim identification database. The method can also include retrieving from a private database at least one set of private information based on the victim dataset wherein the at least one set of private information matches the victim dataset with a predefinable probability. For each set of the at least one set of private information, activity information from a list of activity databases can be collected. At least one set of aggregated information can be generated that can include private information and activity information associated with the at least one set of private information. At least one set of aggregated information can be selected that best matches the victim dataset for data retrieval.

The present invention discloses an inventory allocation method and apparatus and an electronic device based on activity data, relating to the field of fintech. Among them, the allocation method includes: matching the activity information of a target activity with a historical activity database to obtain historical activities with a similarity greater than a preset similarity threshold, obtaining the proportion of the number of successful customers of the historical activities, and based on the proportion of the number of successful customers, allocating inventory objects to each activity cluster of the target activity. The present invention solves the technical problem in the related art that the inventory quota is allocated to the sub-accounts of each activity cluster, and there is a large difference in matching with the actual number of users routed to each activity cluster, resulting in a low success rate of quota deduction.

The embodiment of the invention discloses a request processing method and device, equipment and a medium. The method comprises the following steps: acquiring a current service request in a current period; sending the current service request to a target server, so that the target server responds to the current service request to obtain a current service result; wherein the target server side is determined based on candidate performance data of each candidate server side in a historical period; and receiving a current service result fed back by the target server. According to the scheme, the target server connected with the target client in the current period is determined according to the candidate performance data of each candidate server in the historical period, so that the accuracy of connection between the client and the server in the multi-activity database architecture is improved; and thus, the efficiency of processing the current service request sent by the target client based on the target server in the current period is improved.

The present invention provides a recommendation system and a recommendation method. Users who study activities can actively use the recommendation system and the recommendation method. The recommendation system (1) comprises: an input operation method recognition unit (13) that recognizes the method of input operation performed by the user on the input device (50); a user mood estimation unit (14) that estimates the user's mood based on the input operation method; a proposed activity information acquisition unit (17) that accesses an activity database, extracts proposed activities that are suitable for the user's mood, and acquires information about the proposed activities; and an output control unit (18) that causes the output device used by the user to output the information about the proposed activities.

The invention relates to the technical field of boutique course recommendation, and provides an information technology supported boutique course personalized recommendation method and system, and the method comprises the steps: obtaining the historical consumption record and budget range data of a learner, and calculating the economic bearing capability level; extracting courses matched with the learning target, and generating a preliminary candidate set in combination with payment preference information; querying a preferential activity database for the courses exceeding the economic bearing capacity level, and generating an optimized cost scheme set; obtaining the consumption tendency of the user group similar to the payment preference information, and generating a personalized recommendation combination; obtaining duration and content dimension data of the personalized recommendation combination, and generating a sorted recommendation list; and dynamically adjusting the payment mismatching items in the sorted recommendation list to obtain a final accessible course recommendation result. According to the method, accurate matching of economic ability and learning requirements is realized, the personalized level and economic accessibility of course recommendation are improved, and an efficient and economic learning path is provided for learners.

The application provides an abnormal situation warning method based on target activity frequency regularity, belongs to the field of intelligence reconnaissance, and is particularly in the situation analysis stage. The method extracts the target activity frequency regularity from the target historical activity database according to the time and date, corrects the warning parameters and the activity frequency threshold value in combination with the experience data of commanders, calculates the target monitored in real time, judges whether the activity frequency of the target at the current time and date exceeds the activity frequency threshold value, and generates threat warnings of different levels. The application can automatically monitor the activity frequency of the target of interest based on the historical activity data of the target, generate threat warnings, improve the efficiency of threat research and judgment, can be used in the field of situation analysis, and supports threat early warning analysis on enemy behaviors.

Systems and methods of loopback control in multi-active database synchronization are provided. A first database instance and a second database instance are configured with two-way synchronization. A synchronization tool detects a first log change in a first operation log associated with the first database instance. The first log change includes a first operation entry associated with a first data operation on a first data record in the first database instance. The first data record includes a first synchronization tag field comprising a first source tag representing a first data source associated with the first data operation on the first data record. If the source tag contains the identification of the second database instance, the synchronization tool skips the first operation entry, without synchronizing the first data operation to the second database instance to avoid data loopback.

The invention discloses a data analysis management system and method, and the system comprises a data collection module which is used for collecting historical activity data, industry data and environment data, and is composed of a historical activity database, a market data collection module and an environment data collection module; the data processing module is used for cleaning and standardizing the data acquired by the data processing module; the activity prediction model is used for predicting activities according to historical activity data, industry data and environment data, and the prediction range comprises activity effect prediction, activity risk prediction and activity participant number prediction; and a collaborative management platform. According to the method, the scientificity and the accuracy of activity planning are improved, the planning risk is reduced, the resource utilization is optimized, the planning period is shortened, the working efficiency is improved, and the method is suitable for companies or individual users needing to frequently plan various activities.

Techniques are disclosed relating to a database recovery routine to start up a database system in response to a database failure. The database system accesses checkpoint information identifying a set of active database transactions that were active at a flush point that occurred before the database failure. As a part of the database recovery routine, the database system replays database transactions that occurred between a recovery point and the flush point. The database transactions include the set of active database transactions but exclude any committed or aborted database transactions that occurred between the recovery point and the flush point such that less than a total number of database transactions occurring between the recovery point and the flush point are replayed. The database system further replays, without excluding committed or aborted database transactions, database transactions occurring between the flush point and a recovery end point at which the database failure occurred.

A method or system for generating recommendations based on detected correlations of static and dynamic data. For example, the system generates feature inputs for the machine learning model that is based on labeled static data as well as dynamic data indicating current usage. Notably, the dynamic data is not retrieved from a data store of known training data, but instead is streamed in real time from active databases accessible to the network. Furthermore, the system provides a formatting mechanism that translates user selected requirements and parameters from a human-readable format indicating particular attributes of a database to optimize (e.g., database performance, security, compliance, capacity planning, etc.) into data that may be included in a machine learning feature input that specifies which correlations to use (e.g., server operational statistics data, server log data, monitoring metrics, etc.).

One example method includes collecting telemetry concerning an activity occurring in an IT infrastructure, updating an activity database with the telemetry, applying a rule to determine if the activity is associated with a crossing of an analytics-defined perimeter (ADP) within the IT infrastructure, when a perimeter crossing has been determined to have occurred, applying a policy to determine whether, and what, action should be taken with respect to the perimeter crossing, and implementing an action with respect to an entity whose activity is being evaluated when the perimeter crossing is determined to be contrary to the policy.

Disclosed is a malware detection system that employs behavior-based malware detection to detect malware within a target computing device. The system comprises a data collection module for capturing processing activity within the target device, an activity database for storing the captured activity data in samples, a comparison module for comparing the activity data pertaining to a sample against behavior-based malware behaviors listed within a behavioral database, a sample ranking module for assigning multiple sample ranks to the sample upon match, and a batch ranking module for assigning multiple ranks to a sample batch wherein, a batch rank is a function of corresponding sample ranks. The target device is deemed to be malware infected in the event of the batch rank being beyond threshold limit, at which point, the system is configured to issue a malware-detection notification.

Systems and methods for enhancing the Connectivity Fault Management (CFM) protocol defined in IEEE 802.1Q are provided. In particular, a method includes receiving one or more messages associated with a link connectivity protocol that for detecting link connectivity issues of an Ethernet service in a section of a network and responding to the link connectivity issues; and maintaining two databases for learning nodes in the network based on the received one or more messages, the two databases including an active database and an isolated database.

The invention discloses a data batch processing method and device, electronic equipment and a storage medium, and relates to the technical field of big data or other related technical fields, and the method comprises the following steps: obtaining a batch processing task, and calling an active-active database; independent batch processing is carried out through the active-active database, the processing states of the first database and the second database are monitored in real time, and a first batch processing result and a second batch processing result are obtained; based on the processing states of the first database and the second database, the first batch processing result and the second batch processing result, determining whether the active-active database is abnormal or not; and under the condition that the active-active database is not abnormal, determining that execution of the batch processing task is completed, and generating a batch processing result based on the first batch processing result and the second batch processing result. According to the method and the device, the technical problem of relatively low business decision accuracy caused by data verification deficiency of a database architecture in a main / standby mode in the related technology is solved.

The invention relates to the technical field of database resource management, in particular to an active-active database disaster recovery method and device based on shared storage, equipment and a medium. A database mounted on each database instance is connected with a local storage, a city-wide storage and a far-end storage, if the type of the write access is a new operation, new data is written into the local storage connected with the local database, a new redo log of the new data is sent to the city-wide storage, and the new redo log is asynchronously sent to the far-end storage; and the remote database reads the newly-added redo log from the remote storage and generates a copy of the newly-added data. Data storage is divided into local storage, intra-city storage and far-end storage, after redo is sent to the intra-city storage, it is considered that a transaction is completed, then a redo log is sent to the far-end storage in an asynchronous mode, the transaction does not need to wait for the redo log to be transmitted to the far-end storage and then submitted, and delay caused by transmission of the redo log between two database management systems is avoided.

Computer-implemented methods and system update an active database with ITOM data by: (a) loading ITOM data, collected by an ITOM platform, from a cloud storage bucking to a first (staging) database; (b) loading the ITOM data from the first (staging) database to a second (raw) database; (c) determining, by an engine running on a server, whether data in the active database should be updated with data from the second (raw) database; and (d) repeating steps (a)-(c) according to a schedule.

An event trigger to flush key-value data from a volatile memory device is detected. In response to detection of the event trigger, a determination is made whether the key-value data comprises uncommitted data for one or more active database transactions. If the key-value data comprises uncommitted data for one or more active database transactions, the uncommitted data is moved to a hold aside buffer in the volatile memory device, and committed data in the key-value data is stored on a non-volatile memory device.

Embodiments relate to secure multi-user biometric template authentication (MBTA) for mobile computing devices. In an embodiment, a request to generate a biometric template (BT) associated with an end user is generated via a first mobile computing device associated with an MBTA system. In response to the request, biometric data associated with the end user is collected and a BT associated with the end user is generated based on the biometric data. In embodiments, a personal identification number (PIN) is generated and associated with the BT related to the end user. The BT and / or the PIN associated with the end user are stored in an active BT database and / or an active PIN database respectively. MBTA data associated with the active BT database and / or the active PIN database is transmitted for storage on a plurality of mobile computing devices that are different than the first mobile computing device.