Abstract: This application provides a resource scheduling method, including: when a first scheduling request message is obtained, determining a first resource server from a resource pool based on a first quantity of resources requested by the first scheduling request message, and scheduling the first quantity of resources in the first resource server, where the resource pool includes at least one resource server, and the first scheduling request message requests a resource for a first-type task; and when a second scheduling request message is obtained, schedule a resource for a task corresponding to the second scheduling request message, determining a second resource server from the resource pool based on a second quantity of resources requested by the second scheduling request message, and scheduling a third quantity of resources in the second resource server, wherein the second scheduling request message requests a resource for a second-type task.

Abstract: In an example application instance deployment method, a global management platform receives quality of service (QoS) requirement information from a first client. The QoS requirement information includes a first delay requirement, a second delay requirement, and a first quantity of connections. The second delay requirement is better than the first delay requirement, and the QoS requirement information is entered by a first user to the first client. The global management platform selects a first available site that meets the first delay requirement from managed sites. The global management platform deploys one or more first application instances on the first available site. A quantity of connections that can be established to the first application instance is less than the first quantity of connections.

Abstract: In a method for controlling a cloud desktop service application, and electronic device receives first clock-punching data sent by a terminal device. The first clock-punching data comprises a first clock-punching time and a clock-punching location of a user, and the clock-punching location is a geographical location of the terminal device at the first clock-punching time. The electronic device determines a start time of the cloud desktop service application based on the first clock-punching data and the first location, and start, based on the start time, the cloud desktop service application on a first desktop of the electronic device.

Abstract: A method for creating a private image in a public cloud and a related device. The method includes: A cloud management platform on a network side provide a plurality of interfaces for a tenant, and obtain, based on the plurality of interfaces, an ISO file uploaded by the tenant and an operation input by the tenant. The cloud management platform registers the ISO file as an ISO image in the public cloud based on the input operation, where the ISO image carries the installation file of the operating system, installs the installation file of the operating system carried in the ISO image on a temporary cloud server, sets a running environment in an operating system on the temporary cloud server, obtains an image of the temporary cloud server in which the running environment is set, and records the image as a system disk image of the tenant in the public cloud.

Abstract: This application discloses an object recognition method and apparatus, and a storage medium, and belongs to the field of computer vision. The method includes: obtaining to-be-processed visual data and indication information of at least one target object to be recognized; obtaining semantic information based on the indication information of the at least one target object, where the semantic information is semantics used to describe the at least one target object; and recognizing the target object in the visual data based on an object recognition model and the semantic information. In this application, flexibility of object recognition can be improved.

Abstract: This application provides a data sharing method, including: A first data management system receives a first query statement; obtains, based on the first query statement, a second query statement by using a software development kit of a second data management system; and then accesses a unified open access service of the second data management system based on the second query statement, to obtain proprietary-format data in the second data management system. In the method, a data management system may provide a software development kit SDK to the outside, such that another data management system such as a big data engine can access a unified open access service by invoking the SDK, so as to support sharing of proprietary-format data with the outside, breaking a limitation that proprietary-format data is shared only within a system, and improving usability.

Abstract: A method of evaluating an ability of a large language model (LLM) to generate an accurate hypothesis model (HM) of a linear programming word problem (LPWP) is provided. An attributed bipartite graph of the HM is transformed into an attributed bipartite graph of the ground truth model of the LPWP. The number of transformation steps required for the transformation effectively measures the ability of the LLM to generate an accurate HM. The use of attributed bipartite graphs provide invariance in the order to LPWP variables and constraints. Corresponding apparatus and systems are also provided.

Abstract: A control node divides a plurality of edge nodes included in an edge node cluster into N edge node sets, where each edge node set includes at least two edge nodes. The control node selects M second edge nodes from a first edge node set, where the first edge node set is one of the N edge node sets. The control node sends a control rule to the M second edge nodes, so that the second edge node performs fault detection on a first edge node according to the control rule. Therefore, when the control node cannot perform fault detection on the first edge node, the second edge node can perform fault detection on the first edge node.

Abstract: A microservice migration method is applied to a cloud platform configured to manage an instance that provides a microservice, and includes: obtaining stored first microservice configuration information of a target microservice from a first configuration center running on a first instance; generating second microservice configuration information of a migrated target microservice based on the first microservice configuration information; and sending the second microservice configuration information to a second configuration center running on a second instance, where the second configuration center is configured to store configuration information of the migrated target microservice. In this way, during microservice migration, microservice configuration information may be obtained from an original configuration center, and then based on the microservice configuration information, microservice configuration information adapted to a new configuration center is obtained.

Abstract: An internet of vehicles communication method includes receiving reported data of a vehicle, sending the reported data to a first regional server in a first cluster, where the reported data includes information about a first location of the vehicle, receiving information about a second location of the vehicle from the first regional server, where the second location is predicted by the first regional server and is about where the vehicle is to arrive, obtaining an identifier or an address of a second distribution device based on the second location when the second location is outside a service region of the first cluster, and sending the identifier or the address of the second distribution device to the vehicle.

Abstract: A data provider encrypts source data to obtain a ciphertext of the source data, and uploads the ciphertext of the source data to a data storage platform for storage. Subsequently, in response to a data application request of a data consumer, the data provider encrypts a storage address of the ciphertext of the source data by using a public key of the data consumer, and uploads the encrypted storage address to a blockchain network. The data consumer obtains the ciphertext of the source data from the data storage platform. In the process, a blockchain decentralization capability is used to implement secure and trusted data exchange by using a smart contract that is public and commonly visible to a plurality of parties.

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.