Abstract: This application discloses a data management method, apparatus, and system, and a storage medium, and belongs to the communication field. The method includes: obtaining first description information, where the first description information is used to describe a first row group, the first row group is a row group stored by a first storage system within a specified time period, and the first row group includes at least one row of data; and storing the first row group in a second storage system based on the first description information. This application can reduce operation costs and maintenance difficulty.

Abstract: In a method for AI model optimization, an optimization device receives an original AI model and search configuration information that comprises a plurality of search items each indicating its search categories for performing optimization information search on the original AI model. The device obtains a plurality of search operators corresponding to the plurality of search items, and arranges the search operators in an operation sequence based on the search configuration information. The device then executes the search operators in the arranged operation sequence on the original AI model to obtain an optimized AI model. In the execution of the operation sequence, each search operator, except for the first search operator in the operation sequence, is executed utilizing operation results of a preceding search operator in the operation sequence, the operation results including generated network structures and search space information.

Abstract: A management method is implemented by a transaction processing system. The transaction processing system includes a plurality of participant nodes. Each participant node stores a data partition and is configured to process a plurality of transactions. A combination of data partitions accessed by each transaction includes at least one data partition. The management method includes obtaining a quantity of transactions accessing each combination of data partitions in a cycle and adjusting storage of the data partitions on the plurality of participant nodes based on the quantity of transactions accessing each combination of data partitions in the cycle.

Abstract: This application relates to the field of cloud computing, and specifically, to a method for providing an edge service for a terminal by using a resource of an edge resource cluster in a cloud computing system. The cloud computing system includes a central resource cluster and at least one edge resource cluster. The method includes: a management node deployed in the central resource cluster determines a target execution node based on an edge service application range that is specified by a tenant or that is determined by the management node based on information about a tenant; the target execution node determines, according to an edge service policy sent by the management node, a target edge node from at least one edge node deployed in the at least one edge resource cluster; and the target execution node further forwards an edge service request to the target edge node.

Abstract: A model training system includes a cloud data storage platform and a cloud model training platform. The cloud data storage platform is configured to: store training data; and receive a training data calling request, and export training data corresponding to a data calling instruction to the cloud model training platform based on the training data calling request. The cloud model training platform is configured to: receive a model training creation instruction to obtain a to-be-trained model; generate the training data calling request, and send the training data calling request to the cloud data storage platform; and train the to-be-trained model by using the training data exported from the cloud data storage platform, to obtain a training result model. In the technical solutions of the present invention, a risk of leaking training data can be reduced.

Abstract: A payment method includes a cloud application instance sending an order and a device identity to a payment management node. The payment method further includes the payment management node recording a correspondence between the order and the device identity. The payment method further includes the cloud application instance sending an order payment request to a terminal device. The payment method further includes the terminal device sending, to the payment management node based on the order payment request, an order obtaining request carrying the device identity. The payment method further includes the payment management node obtaining the order from the correspondence based on the device identity carried in the order obtaining request, and sending the order to the terminal device. The payment method further includes terminal device receiving and processing the order.

Abstract: A border gateway receives a first overlay packet sent by a remote acceleration gateway, where a first service request packet is encapsulated in the first overlay packet, a source Internet Protocol (IP) address of the first service request packet is an IP address of a client, and a destination IP address is a public IP address associated with a virtual machine; the border gateway decapsulates the first overlay packet to obtain the first service request packet, encapsulates the first service request packet to generate a second overlay packet, and sends the second overlay packet to a virtual forwarding device, implementing transparent transmission of a source address of a service request packet.

Abstract: An application debugging method includes an interaction sub-system receiving identifiers of a plurality of application sub-modules that are input or selected by a user, creating debug sessions that are in a one-to-one correspondence with the plurality of application sub-modules, and then generating a plurality of debugging request messages based on the plurality of debug sessions. Each debugging request message is routed by the routing sub-system to an agent of an application sub-module requested to be debugged, to request debugging of a code block of the corresponding application sub-module.

Abstract: A positioning method includes obtaining an estimated extrinsic parameter of a camera and an intrinsic parameter of the camera, where the estimated extrinsic parameter of the camera is obtained based on world coordinates of a plurality of estimation points in a shooting region of the camera, image coordinates of the plurality of estimation points, and the intrinsic parameter of the camera; obtaining image coordinates of a target in an image shot by the camera; and obtaining world coordinates of the target based on the estimated extrinsic parameter of the camera, the intrinsic parameter of the camera, and the image coordinates of the target.

Abstract: This application provides a communication method, a gateway, and a management method and apparatus. A first data center is configured to provide non-public cloud services, and a second data center is configured to provide public cloud services. A gateway configured in the second data center is connected to a first subnet of the first data center, and is connected to a second subnet of the second data center. The first subnet and the second subnet have a same private network segment. The method includes: a layer 2 gateway receives a first address resolution protocol (ARP) request packet, which is used to request a MAC address of a second device in the second subnet, sent by a first device in the first subnet, and the gateway sends the first ARP reply packet, which carries a first MAC address of the gateway, to the first device.

Abstract: This application relates to the artificial intelligence field, and provides an image processing method, an apparatus, and a system. The image processing method includes: obtaining a plurality of image blocks by segmenting a to-be-analyzed pathological image; inputting the plurality of image blocks to a first analysis model to obtain a first analysis result, where the first analysis model classifies each of the plurality of image blocks based on a quantity or an area of suspicious lesion components; inputting at least one second-type image block in the first analysis result to a second analysis model to obtain a second analysis result, where the second analysis model analyzes a location of a suspicious lesion component of each input second-type image block; and obtaining a final analysis result of the pathological image based on the first analysis result and the second analysis result.

Abstract: In a code analysis method, a code analysis system obtains information about a service scenario that represents an objective of code analysis. The code analysis system generates a code analysis algorithm for the service scenario based on the information about the service scenario. When code analysis needs to be performed, the code analysis system obtains information about source code and object code that are specified by a user, and analyzes similarity between the source code and the object code according to the code analysis algorithm to obtain an analysis result. The similarity between the source code and the object code is analyzed according to the code analysis algorithm generated based on the information about the service scenario, to obtain the analysis result that meets a requirement of the service scenario.

Abstract: In a shard adjustment method for a time series database, feature information of an access request of at least one user for a data table of a time series database is obtained. The data table is divided into a plurality of shard groups according to a predetermined rule, and each shard group can be further divided into a plurality of shards. Each shard group is set in a different time period, and each shard is set in a different node. Then, the predetermined rule is adjusted based on the feature information, and a new shard group and/or a new shard that match/matches the access habit are/is generated according to an adjusted rule.

Abstract: A microservice call method is provided. The method includes: a network interface card receives service call requests separately generated by a plurality of first services deployed on a first device, where each of the plurality of first services is corresponding to one second service, and the second service is used to process first data of a service call request generated by the first service corresponding to the second service; and the network interface card sends the service call request to the second service based on service governance logic related to the first data. In this way, a problem that contention of a plurality of proxies for a system resource causes process context switching and further causes a sharp increase in a service delay is resolved, and application performance is improved.

Abstract: An architecture analysis apparatus (106) receives an architecture model input by a user, and analyzes a plurality of modules included in the architecture model to obtain a call relationship between the modules. Then, the plurality of modules are allocated to different layers based on an architecture setting entered by the user, whether a call relationship between the plurality of modules complies with a call rule is detected, and a detection result is displayed to the user by using an interface.

Abstract: A method and computing system for rendering subsurface scattering are provided. An optical property and a thickness are received for each of a plurality of material layers. A latent space is trained for each of the plurality of material layers. A global transfer matrix is generated for at least one multi-layer material, each of the at least one multi-layer material including an ordered set of material layers selected from the plurality of material layers, by determining a transfer matrix for each adjacent pair of material layers in the ordered set of material layers using the latent space for each material layer in the adjacent pair of material layers, the transfer matrix describing angular and azimuthal reflectance and angular and azimuthal transmittance, and determining the global transfer matrix as a product of the transfer matrices of each adjacent pair of material layers.

Abstract: This application discloses a method. A database access scheduling module (331 to 333) establishes a communication connection to a database access service engine (121 to 123) using an identifier of the database access service engine (121 to 123). The database access scheduling module (331 to 333) receives an access request sent by the database access service engine (121 to 123), where the access request carries an identifier of a database instance (371 to 375). The database access scheduling module (331 to 333) sends the access request to the database instance (371 to 375). In this way, the database access service engine (121 to 123) may send the access request to the database instance through the database access scheduling module (331 to 333) based on the communication connection actively established by the database access scheduling module (331 to 333) to the database access service engine (121 to 123).

Abstract: A model training system includes a cloud data storage platform and a cloud model training platform. The cloud data storage platform is configured to: store training data; and receive a training data calling request, and export training data corresponding to a data calling instruction to the cloud model training platform based on the training data calling request. The cloud model training platform is configured to: receive a model training creation instruction to obtain a to-be-trained model; generate the training data calling request, and send the training data calling request to the cloud data storage platform; and train the to-be-trained model by using the training data exported from the cloud data storage platform, to obtain a training result model. In the technical solutions of the present invention, a risk of leaking training data can be reduced.

Abstract: A node switchover method is provided, including: A source database nod executes a first query command. Then, the source database node sends target data to a destination database node, where the target data is data for executing a second query command in an execution result of the first query command. Next, the destination database node executes the second query command by using the target data. In the method, some complex operations implemented for node switchover sink to a database node, so that a routing node at which middleware is located does not need to identify a query statement, record a transaction state in real time, or cache a large quantity of query commands that change operation context. This avoids consuming more processor and memory resources of the routing node, reduces costs and overheads of the routing node, and ensures service performance.

Abstract: A live streaming method includes that a live streaming platform plays a live video generated by a first cloud phone under control of a first client, where the first cloud phone and the first client are located in a first region. The live streaming platform switches control permission for the first cloud phone from the first client to a second client. The live streaming platform migrates a running environment of the first cloud phone to a second cloud phone online, where the second cloud phone and the second client are located in a second region. The live streaming platform plays a live video generated by the second cloud phone under control of the second client.