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: 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 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: 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 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: 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: 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 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: 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: 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: 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: 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 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 bare-metal connection storage method includes establishing a storage network, where the storage network includes a plurality of bare-metals, an access switch, a core switch, and a storage device. The plurality of bare-metals are coupled to the access switch, the access switch is coupled to the core switch, and the core switch is coupled to the storage device. The method configures the storage network, so that each of the plurality of bare-metals is coupled to the storage device.

Abstract: A device detects anomalies on an input stream of events. Each event includes a value. The device has: a modeling unit configured to represent each event into at least one histogram over a predefined tree data structure to obtain a model of the input stream; a change detection and adaptation module configured to detect a long term change of the distribution of the events in the input stream based on the model of the input stream; and a scoring unit configured to calculate an anomaly score representing the probability of an anomaly in the input stream of events based on the model of the input stream and the detected long term change.

Abstract: A cross-network wake-up method and a related device are disclosed. In the method, an Internet of things (IoT) platform sends a wake-up instruction to an agent device that maintains a heartbeat connection to the IoT platform, and then sends, through the agent device, a wake-up message to a to-be-woken-up IoT device deployed on a same private network as the agent device. This resolves a technical problem that after a public-private network address mapping becomes invalid, a message from the IoT platform cannot reach a IoT device through a network address translation (NAT) device, and the IoT device cannot receive messages from the IoT platform.