Abstract: A data security realization method and system based on a K-DB database are provided. The method includes: receiving a data processing request of a user regarding a data table in a database; in a case where the data processing request is a data insertion action request regarding the data table, successively executing hash and encryption actions on inserted data, and storing encrypted data in an encrypted permanent hash table; and in a case where the data processing request is a data modification action regarding the data table or a data deletion action regarding the data table, generating an instruction for prohibiting data modification or data deletion. By virtue of the solution, the flow of prohibiting data modification and data deletion regarding a data table is optimized, and a hash value is encrypted, so that the function is more secure and strong.

Abstract: Disclosed are a method and system for processing an instruction timeout, a device and a storage medium. The method includes: in response to a timeout of an original instruction sent by a host end reaching a first threshold value, sending an abort instruction, and detecting whether the abort instruction times out; in response to the abort instruction timing out and the timeout of the original instruction reaching a second threshold value, sending a reset instruction to reset a target end; in response to the reset instruction timing out and the timeout of the original instruction reaching a maximum threshold value, removing the target end, and determining whether the original instruction is blocked at the target end; and in response to the original instruction not being blocked at the target end, returning an instruction error prompt to the host end.

Abstract: The present disclosure discloses a method and apparatus for monitoring application service, an electronic device, and a non-transitory readable storage medium.

Abstract: The present application discloses a data reconstruction method based on erasure coding, an apparatus, a device and a storage medium. The method comprise the following steps: acquiring data offset information of incremental data in a data object; acquiring corresponding data segments from a plurality of source OSDs according to the data offset information; wherein, the source OSDs are target OSDs storing incremental data among respective OSDs storing data objects based on erasure coding, and a quantity of the source OSDs is the same as a quantity of data disks corresponding to the erasure coding; integrating the data segments into an erasure incremental segment, and writing the erasure incremental segment into a to-be-reconstructed OSD, which has no incremental data stored therein, among the respective OSDs. The present method reduces the data volume of data reconstruction, and further ensures the overall efficiency of data reconstruction.

Abstract: A power supply control method, system and device for a server are provided. The method includes: dividing a utilization rate of a system main power supply into different levels in advance, and setting a GPU power control policy corresponding to a respective one of the different levels of the utilization rate of the system main power supply, wherein a suppression degree, on a computing capability of GPUs in a system, of the set GPU power control policy increases with the increase in the level of the utilization rate of the system main power supply; acquiring an actual utilization rate of the system main power supply, and determining a target utilization rate level corresponding to the actual utilization rate; and performing power supply control on the GPUs in the system according to the GPU power control policy corresponding to the target utilization rate level.

Abstract: A capacity expansion method for a storage cluster has the following steps: receiving an expansion instruction and determining a new expansion node corresponding to the instruction; traversing all placement groups to determine reference counts of OSDs corresponding to each of the groups, wherein the reference count of each OSD is the same as the number of groups; setting the OSD with the largest reference count associated with each group as an OSD to be determined; calling a data distribution interface to select an optimal OSD from the new node to replace the OSD to be determined. The OSD with the largest reference count associated with each group can only be replaced by an OSD in the new node, so that the data migration between the old nodes is eliminated, thereby improving expansion and reconstruction efficiency, reducing the resource utilization rate when the system is being expanded, and improving system performance.

Abstract: A key management system is disclosed, including: a control node; multiple computing nodes, all the multiple computing nodes are connected to the control node; and multiple Quantum Key Distribution (QKD) nodes, all the multiple QKD nodes are connected to the control node, and each QKD node is connected to one of the computing nodes, where each QKD node is configured to generate a root key, generate Key Encryption Keys (KEKs) between the QKD node and a plurality of other QKD nodes according to a first instruction sent by the control node, and generate, according to a second instruction sent by the control node, a Data Encryption Key (DEK) corresponding to a user on the computing node connected to the QKD node.

Abstract: Disclosed is bandwidth allocation method for a PCIe external plug-in card. The method comprises: configuring a south bridge chip to successively connect to a connector, an adapter card and a PCIe external plug-in card by means of an I2C bus, wherein the PCIe external plug-in card stores preset configuration information; in response to a system being powered on, the south bridge chip acquiring, by means of the I2C bus, the preset configuration information stored in the PCIe external plug-in card; and the south bridge chip determining a target bandwidth according to the preset configuration information, and allocating a bandwidth to the PCIe external plug-in card on the basis of the target bandwidth.

Abstract: A method for configuring a BMC IP address of a bare-metal server, comprising: deploying an Ironic service and a TFTP service on a management control platform, and registering bare-metal servers based on serial numbers of the bare-metal servers and corresponding BMC IP addresses; in response to a boot signal of the bare-metal server, fetching, by a PXE client, a PXE configuration file from the TFTP service to enable an IPA to be booted, reading an initialization configuration identifier in the PXE configuration file, and confirming whether to perform an initialization configuration for the booted bare-metal server; and in response to performing the initialization configuration for the booted bare-metal server, obtaining, by the IPA, the serial number of the booted bare-metal server from the Ironic service, and bare-metal-node information corresponding to the serial number, parsing out the BMC IP address from the bare- metal-node information, and configuring the BMC IP address.

Abstract: A method and an apparatus for generating information based on a FIFO memory, a device and a medium. In the method, a write credit score and a read credit score of a current FIFO memory are determined by a total capacity of the FIFO memory, and a read address, a write address, a read data enable signal value and a write data enable signal value of the current FIFO memory; and the write credit score represents the number of data sets that can be written into the FIFO memory normally; and the read credit score represents the number of data sets that can be read from the FIFO memory normally; and after sending the write credit score and the read credit score to a preceding-stage device, the preceding-stage device read and write data according to the write credit score and the read credit score.

Abstract: Provided in the embodiments of the present disclosure are a method and apparatus for controlling running of an operating system, and an embedded system and a chip. The embedded system includes a chip and at least two operating systems. The chip includes a processor, a hardware controller, a first bus, and a second bus. The bandwidth of the first bus is higher than the bandwidth of the second bus; the first bus is configured as a multi-master and multi-slave mode; and the second bus is configured as a one-master and multi-slave mode. The at least two operating systems are configured to run on the basis of the processor; the at least two operating systems are configured to communicate with each other by the first bus; and the at least two operating systems are configured to control the hardware controller by the second bus.

Abstract: An automatic modeling method for object detection model, the method includes: S1, searching for an NAS network model according to a predetermined first neural network; S2, training a first object detection model by using a training set, evaluating the current first object detection model by using a validation set after a number of training times reaches a first preset number of times, and outputting an evaluation result, wherein the first object detection model is a model obtained by detection part fusion of the NAS network model and a second object detection model; S3, calculating a reward corresponding to the current first object detection model; S4, adjusting parameters used for searching for the NAS network model according to the reward: repeating the steps S1-S4 for a second preset number of times, and determining an optimal first object detection model according to the evaluation result. Further disclosed in the present invention is an automatic modeling device.

Abstract: A graph data processing method includes: acquiring target graph data to be processed; compiling statistics on the target graph data according to a first preset rule, so as to divide the target graph data into a plurality of graph data blocks and determine a boundary value and weight of each of the plurality of graph data blocks; and storing the boundary value and weight of each of the plurality of graph data blocks in a corresponding memory according to a second preset rule, so as to schedule the target graph data during a graph calculation process by use of the boundary values and the weights.

Abstract: A log output method and system for a server, and a computer-readable storage system and a server. The method includes: after a server is powered on, determining whether a debugging switch in BIOS settings of the server is enabled (S101); if so, initializing a serial port function and making a debugging function take effect (S102); reading a printing function value in the debugging function (S103); if the printing function value is a first preset value, printing log information by means of the serial port function (S104); and if the printing function value is a second preset value, turning off a log output function (S105). The method is conducive to quickly locating a fault abnormality of a server, thereby reducing the server debugging and modification time.

Abstract: The present disclosure discloses a cloud platform resource cross-project transfer method and system, and a computer storage medium. The method includes: generating a slot position and an authentication key for a resource to be transferred based on a transfer request; generating a transfer Identity (ID) of the resource to be transferred, acquiring a project ID where the resource to be transferred is located based on a resource ID, constructing a transfer structure body, and writing the transfer structure body into a database; generating a transfer record of the transfer structure body in the database, and setting a resource status of the resource to be transferred as waiting for transfer in the transfer record; and returning the transfer ID, the authentication key, a transfer description, and the resource ID to a transfer user based on the transfer request.

Abstract: A mirror list query method of a multi-architecture cloud platform mirror warehouse is provided. Two containers are added into a pod where a core component runs; a request shunting component and an expansion core component are respectively configured in the two containers, and a target port in service (svc) of the pod of the core component is specified as a port monitored by the request shunting component; the request shunting component receives requests from the port, transmits a mirror query request to the expansion core component, and transmits the requests except the mirror query request to the core component for processing; and the expansion core component reads mirror data in a database component, executes a query instruction in the query request, screens the mirror data, calls a registration component interface according to a screening result, and returns information of a mirror conforming to the screening result.

Abstract: An ESPI-based method and device for enhancing server security, including: S100, a Complex Programmable Logic Device (CPLD) monitors packet formats and instructions on an Enhanced Serial Peripheral Interface (ESPI) bus; S200, when the CPLD monitors an abnormal firmware Flash read/write operation, the CPLD records operation-related records in a Flash which is mounted to the CPLD; S300, the CPLD lights a Light-Emitting Diode (LED) corresponding to a system error signal line or a LED corresponding to a Baseboard Management Controller (BMC) error signal line; S400, the CPLD determines whether to take over a CS0 signal or not; S500, when the CPLD determines to take over the CS0 signal, the CPLD requests to interact with a Platform Controller Hub (PCH) and warns of a system security issue.

Abstract: Disclosed in the present disclosure are an image-text mutual retrieval model training method and apparatus, an image-text mutual retrieval method, and a device, applied to the technical field of retrieval. The image-text mutual retrieval model training method includes: acquiring training data pairs; inputting the training data pair in an initial model, and extracting text coding features of text training data and image coding features of image training data by using a text coding module and an image coding module in the initial model, respectively; calculating a training loss based on the text coding features and the image coding features, and performing parameter adjustment on the initial model based on the training loss; and in response to the training loss meeting a convergence condition, determining the initial model after the parameter adjustment as an image-text mutual retrieval model.

Abstract: Disclosed are a resource allocation method and device for a PCIe card. The method includes: allocation types of the PCIe card is divided according to the number of lanes of the PCIe card, and the allocation types and corresponding voltage intervals are numbered; a voltage of the PCIe card is detected in response to the PCIe card being connected to a mainboard; the voltage is compared with the voltage intervals and it is judged in which voltage interval of the numbered corresponding voltage intervals the voltage is located; and the mainboard invokes the PCIe allocation type corresponding to the voltage interval for allocation.

Abstract: An Inter-Integrated Circuit (I2C) deadlock and recovery method and apparatus include the following steps: providing an optical module reading unit and an optical module isolation unit in a CPU of a switch; configuring the optical module reading unit to periodically scan the states of each optical module in the switch, reading contents of in-place optical modules, determining whether there is an optical module in which a content reading failure occurs but the state of which is in place, and if there is, determining that there is a faulty optical module; and configuring the optical module isolation unit to isolate all the optical modules of the switch, resetting an I2C bus, searching for and blocking the faulty optical module, deactivating the isolation of normal optical modules in the switch after the faulty optical module is blocked off, and notifying a BMC before and after the isolation of the optical modules.