Abstract: Provided are a method, apparatus and device for constructing a n FPGA based prototype verification platform, and a medium. The method includes: converting, based on a set constraint condition, codes for constructing an FPGA-based prototype verification platform into a gate-level netlist; setting a requirement defined by preset parameters based on a value range of each parameter when timing closure is met, and when an operation result of the gate-level netlist does not meet the requirement defined by the preset parameters, performing physical optimization on the gate-level netlist according to a set parameter optimization rule, where a physical optimization process may be regarded as the process of optimizing the placement of elements in the gate-level netlist; and performing routing on elements in the gate-level netlist that meets the requirement defined by the preset parameters or the gate-level netlist subjected to the physical optimization to obtain the FPGA-based prototype verification platform.

Abstract: A file data access method and apparatus, and a medium. The method includes: when a file copy instruction is received, creating a backup file; recording, in metadata of an original file, identification information of the backup file, and recording, in metadata of the backup file, identification information of the original file; when a read instruction for a first target file is received, determining whether there is a data object corresponding to the first target file; if YES, reading the data object; and if NO, determining a first target original file associated with the first target file according to identification information recorded in metadata of the first target file, and reading a data object of the first target original file. During data backup, an original file may be backed up by merely recording, in metadata, identification information of an associated file, without copying a data object.

Abstract: A topology-aware load balancing method includes: acquiring load balancing configuration information, determining, based on the configuration information, whether a plurality of backend service endpoints for load balancing are located on different nodes; in response to the backend service endpoints for load balancing being located on different nodes, for each node, regularly issuing a command for polling the backend service endpoints on the node, acquiring topology information of the different nodes, as well as health statuses and a link quality of the backend service endpoints; calculating priorities of the backend service endpoints based on the topology information, the health statuses and the link quality, configuring a service response endpoint for load balancing based on the priorities; in response to at least one of the topology information, the health statuses and the link quality being changed, recalculating priorities of the backend service endpoints, adjusting the service response endpoint based on t

Abstract: Disclosed are a cluster quorum method and apparatus, an electronic device, and a computer-readable storage medium. The method includes: acquiring a historical election set, and obtaining a first node quantity and a power condition by using the historical election set; generating a quorum parameter by using the first node quantity according to the power condition; acquiring a current network topology, and judging whether the current network topology satisfies the quorum parameter; and if the current network topology satisfies the quorum parameter, providing a cluster service. According to the method, a new network topology after a failure is not required to include the majority of nodes in an original cluster, whereby the network topology can continue to work no matter a quantity of nodes in the network topology while data consistency is ensured, improving viability of the cluster.

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 node synchronization method and apparatus, an electronic device, and a computer-readable storage medium, include: acquiring node data sent by each slave node; obtaining a target cluster parameter from each piece of node data, and obtaining a standard cluster parameter by using the target cluster parameter based on an event queue length; determining an authorized slave node according to the standard cluster parameter, and judging whether a quantity of authorized slave nodes is greater than a quantity threshold; and if the quantity is greater than the quantity threshold, performing event playback on the authorized slave node by using a cluster event based on the standard cluster parameter; or if the quantity is not greater than the quantity threshold, controlling the authorized slave node to perform status synchronization on an unauthorized slave node, and performing event playback on the authorized slave node by using a cluster event after status synchronization.

Abstract: Provided is a data query method, applied to a heterogeneous acceleration platform. The data query method includes: determining operators in a database management system, and accomplishing, in a parallel processor, functions corresponding to the operators (S101); if an SQL query statement is received, converting, by using a CPU, the where clause in the SQL query statement into a data structure including a binary tree and a linked list (S102); controlling the CPU to generate an operation code stream of the data structure according to node information (S103); and performing, by using the parallel processor, a screening operation corresponding to the operation code stream on records in the database management system to obtain a query result conforming to the where clause (S104).

Abstract: A device verification method, a UVM verification platform, an electronic apparatus, and a storage medium are provided. The method includes: determining a transaction class corresponding to a device under test, and instantiating a first interface in a callback function; sending input data to the device under test based on a bus protocol, and sequentially adding the input data to an array of the first interface according to addresses of the input data; instantiating a second interface in a monitor device, and sequentially adding output data to an array of the second interface according to addresses of the output data; and comparing the input data and the output data that have same addresses in the array of the first interface and the array of the second interface, and outputting a verification result of the device under test according to a comparison result.

Abstract: A method for realizing a Hadamard product, a device and a storage medium, includes: acquiring a plurality of to-be-treated optical signals with unequal wavelengths; inputting the to-be-treated optical signals into a wavelength division multiplexer; by using the wavelength division multiplexer, feeding the to-be-treated optical signals to a micro-ring-resonator component, wherein the micro-ring-resonator component includes a plurality of micro-ring-resonator groups each of which is formed by two micro-ring resonators with equal radii; and applying a corresponding electric current to the micro-ring-resonator component, to obtain a result of the Hadamard product according to an outputted light intensity.

Abstract: The present application provides a method and a system for calculating a stripe of a strip for a disk, a terminal and a storage medium. The method includes: calculating a pack offset of a parity block according to a given disk index; calculating an address of a strip where the parity block is located in the disk according to the pack offset; comparing an address of a to-be-checked strip with the address of the strip where the parity block is located in the disk to determine whether the parity block is on the to-be-checked strip; and calculating a stripe index of the to-be-checked strip by considering redundant elements caused by the parity block in response to determining that the parity block is on the to-be-checked strip; or calculating the stripe index of the to-be-checked strip directly in response to determining that the parity block is not on the to-be-checked strip.

Abstract: An electrostatic interference processing method, apparatus, and device, and a readable storage medium are provided. The method includes: receiving input data in real time, and determining whether an electrostatic interference signal is present in the input data; in response to determining that the electrostatic interference signal is present in the input data, interrupting reception of the input data; determining whether an interference frequency of the electrostatic interference signal is lower than a preset value; and in response to determining that the interference frequency of the electrostatic interference signal is lower than the preset value, continuing to receive the input data.

Abstract: Provided are a task allocation method and system for a solid state drive, an electronic device, and a storage medium. The task allocation method includes: dividing data managers into a plurality of data management groups; determining a service scenario according working states of all sibling master data managers; when the service scenario is a high-band-width scenario, controlling the sibling master data managers and sibling slave data managers to work in corresponding Central Processing Unit (CPU) cores, and allocating tasks to all the sibling master data managers and all the sibling slave data managers; and when the service scenario is a high-quality-of-service scenario, controlling the sibling master data managers to work in corresponding CPU cores, and allocating tasks to all the sibling master data managers.

Abstract: Provided are a bus exception handling method and apparatus, an electronic device and a computer-readable storage medium. The method includes: respectively obtaining, from multiple target buses, multiple pieces of target data corresponding to the multiple target buses, where the multiple target buses include a master bus and one or more candidate buses, and the target data corresponding to the master bus is referred to as first data; determining whether the first data satisfies a bus exception condition, where the bus exception condition is a data bus marker exception condition or a data content exception condition; and in response to determining that the first data satisfies the bus exception condition, selecting a target candidate bus in a healthy state as a new master bus, and updating local bus data.

Abstract: An IO path determination method and apparatus, and a device and a readable storage medium. The method comprises: determining a target volume of an IO request, and acquiring a path level of the target volume; when the path level is a host path level, sending the IO request to a preset preferable controller; when the path level is a back-end path level, selecting a target controller from controllers by using a consistent hashing algorithm, and sending the IO request to the target controller; and when the path level is a fault level, determining that a fault occurs in an IO path. An IO path is determined by means of setting different path levels for a volume and in conjunction with a consistent hashing algorithm, such that loads of controllers in a storage system can be effectively balanced.

Abstract: The present disclosure provides a method and system for storage management, a storage medium and a device. The method includes: making hard disks in a storage pool network with several controllers via network hard disk enclosures, respectively sending hard disk information to proxy drivers which are pre-configured in the controllers, and selecting one of the controllers as a main controller; respectively sending, the hard disk information to cluster drivers which are pre-configured in respective controllers; acquiring the hard disk information from each cluster driver via the main controller, and sending the total hard disk information sent to each cluster driver; acquiring information of a logical unit space corresponding to the request, and allocating an idle hard disk in the storage pool for the logical unit space according to the total hard disk information; processing, the read/write request in parallel in the idle hard disk.

Abstract: The present application discloses an automatic driving control method. In the method, parameters are optimally set by using a noisy and noiseless dual-strategy network, identical vehicle traffic environment state information is input into the noisy and noiseless dual-strategy network, a motion space perturbation threshold is set by using a noiseless strategy network as a comparison and a benchmark so as to adaptively adjust noise parameters, and motion noise is indirectly added by adaptively injecting noise into a strategy network parameter space, such that exploration of an environment and a motion space by a deep reinforcement learning algorithm may be effectively improved, automatic driving exploration performance and stability based on deep reinforcement learning is improved, and full consideration of influence of an environment state and driving strategies in vehicle decision-making and motion selection is ensured, thereby improving the stability and safety of an automatic vehicle.

Abstract: A method and apparatus for expanding cloud volume, and a device and a readable medium are provided. The method includes: determining whether there is an request of a host in a cloud volume and confirming a snapshot started during cloud backup (S1); in response to there being no IO request, expanding a snapshot volume of the snapshot started during the cloud backup and the cloud volume (S2); expanding a bitmap of the snapshot started during the cloud backup, and setting a bitmap obtained by expanding as a first preset value (S3); after completion of a cloud backup task, expanding a snapshot volume of an another snapshot that is not started in the cloud backup (S4); and expanding a bitmap of the another snapshot that is not started in the the present cloud backup, and setting a bitmap obtained by expanding as a second preset value (S5).

Abstract: Disclosed are a host discovery and addition method and apparatus in a data center, and a device and a medium. The method includes: scanning to discover computing nodes to be added; sending, through IPv6 multicast, a discovery message to the scanned computing nodes, and receiving discovery response messages that are sent by said computing nodes through IPv6 unicast after the discovery message passes verification; when the discovery response messages pass verification and no IP address is configured for said computing nodes, sorting BMC IPs in the discovery response messages, and allocating IP addresses according to the order of the BMC IPs, such that the IP addresses that correspond to adjacent BMC IPs are consecutive; and after the IP addresses are configured, sending an addition message to said computing nodes, receiving addition response messages, and adding said computing nodes to a data center that is managed by a management node.

Abstract: A method for handling large-scale host failures on a cloud platform includes: configuring a corresponding failed host queue for each host group; setting initial priority values and evacuation count thresholds for cloud hosts; arranging failed hosts in failed host queues according to priorities of the failed hosts, and arranging the cloud hosts in the failed hosts according to priority values of the cloud hosts; handling, by the host group, the failed hosts the cloud hosts and in the corresponding failed host queue according to an arrangement order; when evacuation of a cloud host fails, re-determining a priority value of the cloud host; detecting evacuation capability of the host group corresponding to each failed host queue, and disabling a failed host queue having poor evacuation capability; arranging failed hosts in the disabled failed host queue into remaining failed host queues; and enabling a failed host queue meeting a condition.

Abstract: A method for cloud-platform authentication based on blockchain includes: in response to a cloud platform being created, generating a random character string and performing hash operation to the character string to obtain a first hash value; in response to creation of a user in the cloud platform, performing operation to obtain a unique user ID; acquiring information of a hardware-authentication key, generating a unique authentication ID according to the information, and binding the unique user ID and the unique authentication ID; in response to the user being created in the cloud platform, generating a first password and a second password, performing operation to obtain a second hash value; and in response to the hardware-authentication key being inserted into the cloud platform, comparing the acquired information with the hash chain table, the unique authentication ID and the unique user ID stored in the cloud platform for the authentication.