23results about How to "Eliminate performance bottlenecks" patented technology

The invention relates to a disk array configuration method and device, computer equipment and a storage medium. The method is applied to a computer device running a bare metal service, and comprises the steps that a grouping creation instruction is received, the grouping creation instruction comprises grouping demand information, and the grouping demand information comprises the number of groups, a target RAID card identifier corresponding to each group and demand disk information; determining grouping configuration information according to the grouping demand information and a pre-stored corresponding relationship; wherein the corresponding relationship is used for identifying the association between each RAID card identifier in the bare metal server and the actual disk information; the grouping configuration information comprises a target RAID card identifier corresponding to each group and actual disk information which corresponds to the target RAID card identifier and meets the required disk information; and sending the grouping configuration information to the bare metal server, wherein the grouping configuration information is used for executing the RAID operation on the bare metal server.

The invention relates to the technical field of data processing, in particular to an order data processing method and system based on a block chain. The method comprises the following steps: acquiring a multi-source order data set; performing transaction address analysis on the multi-source order data set to generate order transaction address data; order processing server construction is carried out on the multi-source order data through the order transaction address data, and order processing distribution server data is generated; order processing access frequency analysis is carried out on the multi-source order data set through order processing distribution server data, and order processing access frequency data is generated; and performing order screening on the multi-source order data set based on the order processing access frequency data to generate high-frequency order access data and low-frequency order access data. According to the invention, through optimization of multi-source data integration, order access frequency analysis, transaction synchronization and channel optimization, the reliability and efficiency of order transaction are improved.

This invention relates to the field of metal material processing technology. It discloses a synergistic composite forming process for metal wire electroforming and drawing, comprising the following steps: first, surface cleaning and activation treatment of the base metal wire to remove oxide layers, oil stains, and impurities; then, feeding the pretreated wire into an electroforming device to deposit a metal plating layer, obtaining an initial electroformed composite wire; subsequently, direct online radial high-pressure drawing to achieve a dense bond between the electroformed layer and the base metal; followed by annealing of the composite wire; repeating the electroforming, drawing, and annealing steps at least once to complete multiple synergistic cycles; finally, testing the dimensional accuracy, mechanical properties, and interlayer bonding force of the composite wire, and cutting it into finished products after passing the tests. This invention employs an online tandem synergistic process of electroforming and drawing, avoiding plating oxidation and interface contamination. Radial high-pressure drawing can compact the plating layer, eliminate porosity, and improve bonding density.

This application relates to the field of integrated circuit design technology and discloses an on-chip network deadlock prevention method and system based on path reservation and credit backhaul. The core of the method lies in proactively locking virtual channel resources along the entire path via an independent reservation request packet along an adaptive route before data packet transmission. Combined with a "credit backhaul confirmation" mechanism, data packets are only allowed to be injected into the network after the source node receives an confirmation packet, thus transforming resource dependencies into unidirectional credit flow control. Simultaneously, reservation resource management is achieved by setting a distributed reservation state table in each router, and soft reservation and multi-path exploration mechanisms are introduced to improve resource utilization efficiency and path selection flexibility. This scheme fundamentally breaks the conditions for circular waiting, completely avoids deadlock, and eliminates the performance bottleneck of traditional methods when virtual channel resources are limited, achieving high determinism in data transmission, low blocking risk, and high efficiency in resource utilization.

The invention provides a bit-level parallel processing system for vector dot product calculation. The bit-level parallel processing system is used for processing dot product calculation of two vectors in parallel. The system comprises a plurality of parallel processing channels which are used for processing initial data packets obtained after preprocessing of two vectors in parallel and outputting final local sums of the processing channels, each processing channel is provided with a bidirectional routing node and a binary splitting node, and through cooperation of the two nodes, the final local sums of the two vectors are obtained. The processing channel can split the processed data packet and send the split data packet to other processing channels; the Bypass path is used for connecting the bidirectional routing nodes of the processing channels; and the global accumulator is used for calculating the sum according to the final local sum of all the processing channels. According to the technical scheme, the binary split nodes and the routing exchange nodes are added into the processing channels, so that the problems of performance bottleneck, resource waste, limited application scene and limited expandability caused by mutual isolation and independent calculation of the processing channels in the prior art are solved.

The invention provides an auricular point positioning method, an auricular point positioning system and a computer program product, and the method comprises the steps: inputting a to-be-recognized 3D human ear model into a trained auricular point partition recognition model, obtaining an auricular point partition result of the to-be-recognized 3D human ear model, and positioning the position of an auricular point in each auricular point partition according to the auricular point partition result. The auricular point partition recognition model can accurately recognize auricular point partitions, the recognized auricular point partitions are displayed to medical workers, the medical workers are assisted in auricular point partition, and the medical workers are helped to learn the ability of accurate auricular point partition. According to priori knowledge or rules, a calculation formula for calculating auricular point positions according to auricular point partitions is designed, so that the auricular point positions in each auricular point partition can be positioned according to auricular point partition results, in the process, the calculation formula for calculating the auricular point positions in the auricular point partitions is displayed to medical staff to assist the medical staff in auricular point positioning, and the auricular point positioning accuracy is improved. And medical personnel are helped to learn the ability of determining the position of the auricular point according to auricular point positioning.

The invention provides an operation and maintenance management system and method for a low-code development platform, and belongs to the technical field of program development, and the system comprises an environment module which carries out the environment isolation and environment configuration of the operation environment of the low-code development platform, and determines first environment data; the monitoring module is used for determining performance data and security data; the adjusting module is used for adjusting the first environment data to determine second environment data; the project module is used for carrying out assembly line configuration on all projects of the low-code development platform and carrying out application package deployment on each project of the low-code development platform; and the execution module is used for performing code testing, construction and deployment processes on the project. According to the method, the operation environment can be efficiently and accurately optimized, the resource utilization rate and the deployment accuracy are improved, the delivery efficiency and the safety of development projects of a low-code platform are remarkably improved, the complexity and the labor cost are reduced, high adaptability and automatic operation and maintenance are achieved, the performance bottleneck is reduced, and the cooperation efficiency of development and operation and maintenance is improved.

The invention discloses a network static routing configuration method based on compatibility of an SNMP protocol and a YANG model. The network static routing configuration method comprises the following steps: step 1, serialization conversion from the SNMP to the YANG: an idxBuf of the SNMP is coded into a staticroutears structural body compatible with the YANG; step 2, reverse synchronization from the YANG to the SNMP: after receiving the configuration parameter data and processing the configuration parameter data, the protocol stack module returns a corresponding processing result to the SNMP, and writes the FRR configuration state back to an MIB library through an IDB operation of the SNMP; and step 3, storing and recovering large-scale static routing configuration. According to the invention, the stock SNMP network management system can manage the YANG equipment without being transformed, so that the upgrading cost of an operator is reduced; through the adaptive compatibility solution of the application, the atomicity guarantee of the configuration transaction can be realized, the configuration change takes effect completely or rolls back completely, and the intermediate state is avoided; according to the method and the device, the performance bottleneck of large-scale static routing configuration storage is eliminated, and the configuration recovery speed when the equipment is restarted is optimized.

The invention discloses a visual high-speed parcel single-piece separation modular distributed system design method, and relates to the technical field of computer vision, and the method comprises the steps: setting the row and column distribution and size values of a single-piece separation module according to system configuration parameters; generating an independent coordinate system corresponding to each camera according to the detection range of the camera, generating absolute position coordinates of a detection target of each camera through a visual identification algorithm, and performing unified compensation coordinate conversion to generate absolute coordinates of all detection targets; absolute coordinates of all detection targets are effectively filtered through a filter, repeated coordinates are eliminated and input into a separation strategy algorithm module of the system, and parcel single-piece separation is achieved. Modular deployment is realized by adopting a single-piece separation module, flexible expansion or reduction is supported to adapt to different logistics scene requirements, the real-time performance, the detection precision and the separation stability of the system are remarkably improved through multi-camera distributed calculation, a compensation algorithm and a filter, and the hardware requirement and the deployment cost are reduced.

The invention discloses an energy supply chain enterprise informatization management platform based on a block chain consensus mechanism, particularly relates to the technical field of block chains, and comprises an operation data acquisition module, an operation data analysis module, an operation feature analysis module, a fuzzy reasoning module and a network optimization module. The operation data acquisition module acquires data of a main chain and a two-layer network of the block chain in real time, and the operation data analysis module analyzes the data of the main chain and judges whether a sign of throughput limitation exists or not; the operation feature analysis module extracts and analyzes main chain and two-layer network feature data, and a result is transmitted to the fuzzy reasoning module; the fuzzy reasoning module is used for reasoning a task transfer type and determining whether to construct a main chain and two-layer network path or not; the network optimization module optimizes the node configuration of the two-layer network to share the load; whether tasks are shunted through the two-layer network or not is dynamically determined, node configuration of the two-layer network is optimized in real time, main chain overload is avoided, the processing capacity of the whole system is improved, and efficient and stable operation of the system is ensured.

The application discloses a kind of configuration class data's cache ORM systems, specifically relates to software application technical field, including cache structure definition module, for by Groovy script configuration class data in relational database is converted into Redis specific data structure;Cache synchronization control module is coupled with the data of cache structure definition module.The application is systematically solved through Vickrey auction mechanism and reverse index incremental update the consistency problem of distributed multi-node concurrent modification cache, eliminates cache surprise group effect;Through alliance chain storage and zero-knowledge proof audit, realize the full-process tamper-proof traceability and privacy protection compliance verification of cache operation;Through the construction of immune network antibody library and complement cascade response, realize the active perception and dynamic defense of cache penetration attack, three big mechanisms work together, reduce development and operation cost, improve the security, credibility and management efficiency of cache system.

The application relates to the technical field of file storage management, and discloses a file storage management system of a cloud storage system, which comprises an access adaptation module, a metadata module, a slice version module, a deterministic mapping module, a container management module and a persistence control module. The deterministic mapping module performs stateless calculation based on a file identifier and a data block index number to generate a target container identifier and a virtual slot number. The container management module constructs a buffer container in the memory, ignores the discreteness of the virtual slot, and writes data blocks into a data storage area in a compact appending mode. The persistence control module drives effective data to be written into a disk according to a comparison result of a global version identifier and a historical version. The application eliminates the metadata bottleneck through deterministic routing, converts random I / O into sequential I / O through memory compact reorganization, and solves concurrent conflicts based on a lock-free mechanism, thereby significantly improving the throughput and expansibility of the storage system.

The invention provides an AI-based efficient task arrangement system and an arrangement method thereof. The system is mainly composed of a task management module, a resource monitoring module, a scheduling engine module, an execution module and a data analysis module. The task management module is used for creating, distributing and managing tasks; the resource monitoring module is used for monitoring the resource use condition of each computing node in real time; and the scheduling engine module performs task scheduling and resource allocation based on an AI algorithm. According to the AI-based efficient task arrangement system and the arrangement method thereof, through intelligent and self-adaptive task arrangement, the task processing efficiency and speed can be remarkably improved, the intellectualization and the self-adaption of task arrangement are realized by introducing an artificial intelligence technology, and the defects of the prior art in the aspects of flexibility, intellectualization and the like are overcome. Meanwhile, the system can adjust a scheduling strategy in real time in a dynamically changing computing environment, optimizes resource allocation, and improves the overall performance and reliability.

The invention provides an interactive 3D virtual environment construction method, and relates to the technical field of virtual reality, and the method comprises the following steps: obtaining environment scene data of an interactive 3D virtual environment; creating a corresponding virtual environment scene according to the environment scene data based on a three-dimensional modeling tool; projecting the virtual environment scene in the real world based on various virtual reality devices, and rendering the virtual environment scene correspondingly projected by the virtual reality devices in real time; analyzing rendering information of rendering hardware used by the virtual reality equipment in real-time rendering to obtain a rendering analysis result; and dynamically adjusting rendering parameters according to the rendering analysis result. According to the method, comprehensive environment scene data is acquired, and the rendering information of the rendering hardware is deeply analyzed, including standard analysis, historical analysis, equilibrium analysis of the performance evaluation value and feedback analysis, so that the rendering parameters can be accurately adjusted according to the equipment performance, the rendering efficiency and the resource utilization rate can be improved, and the performance bottleneck can be reduced.

The PCIe system and the memory access method thereof disclosed by the application distribute the IOMMU function to the PCIe switching chip; the management module of the PCIe system obtains the identity of the physical endpoint device connected to the PCIe switching chip, the physical address of the peer device and the virtual address of the virtual endpoint device corresponding to the peer device during initialization, and delivers the information as routing and verification information to the input / output memory management unit of the PCIe switching chip. Thus, the input / output memory management unit in the PCIe switching chip can match the device identity and the virtual address in the message in the plurality of routing and verification information after receiving the message of a device, so as to convert the virtual address of the destination device in the message to obtain the physical address, and then route based on the physical address. It can be seen that the message does not need to pass through the host (root node) in the memory access mode, but only needs to pass through the PCIe switching chip, so as to reduce the DMA delay and eliminate the performance bottleneck of the root complex.

The present invention relates to a terminal group key lightweight aggregation negotiation and verification method and system. Based on elliptic curve cryptography, a two-layer key structure of individual key (IDK) and group key (GPK) is established, and a lightweight key aggregation negotiation and verification mechanism is designed. A cross-domain authentication terminal is randomly selected as a centralized controller, and other terminals are used as group members to dynamically negotiate keys, thereby improving the flexibility of terminal dynamic management on the basis of reducing single point failures and performance bottlenecks.

The invention relates to the field of data security, and provides a data processing method, device and equipment and a storage medium, the method is applied to a plurality of participants, a first participant is used for encoding original gradient data of a floating point type of current iteration training into encoding gradient data of an integer type, and performing multi-level encryption on the encoding gradient data, the encryption efficiency is improved, the bandwidth consumption is reduced, the generated second encryption gradient is sent to the adjacent second participant for gradient aggregation, and the model parameters are updated according to the target aggregation gradient obtained by aggregation of the last second participant; each second participant except the first participant in the federated learning task performs gradient aggregation and encryption based on the dense state gradient data of the previous participant and the first encryption gradient of the second participant to obtain a target aggregation gradient, so that the privacy of the gradient data is protected, the communication overhead is reduced, and the communication efficiency is improved. And computing resources occupied during aggregation and the attack risk are shared, so that the performance bottleneck of federated learning is reduced.

The present invention proposes a method and system for constructing a global call chain of a microservice cluster based on edge computing, and relates to the field of communication technology. The method includes: obtaining a microservice cluster topology map, locating edge nodes based on data sources; collecting call chain data in the microservice cluster topology map, and transmitting it to edge nodes; the edge nodes use a trained decision tree model to filter out high-priority data in the call chain data for edge computing, build local call chains, and upload them to the central node; the high-priority data includes abnormal requests and high-latency requests; the central node aggregates local call chains to form a global call chain. The present invention deploys a lightweight machine learning model on the edge node, and based on historical data analysis, filters the data that constitutes the local call chain, and then the central node receives and merges the local call chains from each edge node to form a complete global call chain view, effectively reducing the burden of data transmission.

The invention relates to the technical field of communication, in particular to an ARP (Address Resolution Protocol) information processing method and device, equipment and a medium, which are used for improving the efficiency of ARP information processing. The method comprises the following steps: a main node applied to a cluster sends an ARP information acquisition request to each proxy node in the cluster after a preset acquisition condition is met, so as to obtain ARP information of each proxy node; the acquisition condition comprises at least one of the following conditions: timed acquisition and response to an acquisition request of the object; updating a main database corresponding to the main node according to each piece of acquired ARP information; and sending the updated ARP information in the main database to each proxy node, so that each proxy node updates a proxy database corresponding to the proxy node according to the ARP information in the main database.

The application relates to the technical field of engineering simulation, and discloses a multi-working-condition parallel scheduling method and system based on an offshore wind power simulation platform, which comprises the following steps: state initialization is performed on a working-condition list in a single solving stage in an offshore wind power integrated simulation process to obtain an ordered task queue; the working conditions in the ordered task queue are dispatched to a solver backend by using a movable pointer type even distribution scheduling index; a configurable regular expression is used to identify the working conditions with transient I / O errors in the output stream of the solver backend; the working conditions with transient I / O errors are subjected to exponential backoff retry, and the working conditions after the exponential backoff retry are subjected to scheduling circulation; when the working conditions in the single solving stage reach a termination state, the working conditions in the next solving stage are subjected to parallel solving by using a cross-stage pipeline incremental readiness semantic, and the offshore wind power integrated simulation is completed. In the application, the resource utilization rate of the offshore wind power simulation platform is significantly improved, and the simulation calculation period is greatly shortened.

The invention relates to a skin micro-surface deformation processing method and device and a storage medium. The processing method comprises the following steps that a matrix Q * R'in a neutral posture is pre-calculated; calculating a generalized inverse matrix (Q ')-1 and a matrix R' of a matrix Q 'of a current frame according to real-time data, and further calculating a matrix T; sVD decomposition is carried out on the matrix T to obtain the stretching and extruding proportion and direction, and a deformation processing result is obtained. Through the skin micro-surface deformation processing method in the embodiment of the invention, the calculation efficiency and the rendering speed can be remarkably improved when the skin micro-structure is rendered. Particularly, under a high polygon model, the performance bottleneck caused by transmission and calculation of a large number of vertex data can be remarkably reduced.

The invention discloses a rule-based security detection method and device, a storage medium and electronic equipment, and relates to the technical field of network security, the method comprises the following steps: obtaining target detection data, and determining a behavior type of the target detection data; determining a detection channel matched with the behavior type of the target detection data in the plurality of detection channels as a target detection channel; querying whether a detection result of the first detection data exists in a preset storage space or not; and under the condition that the detection result of the first detection data exists, determining a security detection result of the target detection data according to the attribute value of each target attribute of the first detection data and the attribute value of each target attribute of the target detection data. Through the method and the device, the problem of relatively low detection efficiency caused by one-to-one matching between the behavior data set and each rule in the rule set when potential security threats of the terminal equipment are detected based on the rules in related technologies is solved.

The present invention provides a method and computing device for a memory cache system, wherein the memory cache system is used to store key-value objects, and the method comprises: creating a cache instance according to a specified cache capacity and an estimated number of objects, wherein the cache instance comprises a small queue and a main queue, wherein the small queue is used to store objects that are recent or have an access frequency lower than an access threshold, and the main queue is used to store objects whose access frequency is equal to and / or greater than the access threshold; writing the objects to be cached to the cache instance, and always performing a write operation to the small queue; wherein, when the cache capacity is insufficient, the cache key-value objects are preferentially eliminated from the small queue. According to the technical solution of the present invention, a high cache hit rate can be guaranteed, cache pollution can be reduced, memory security and concurrency can be guaranteed, and the development and maintenance of the cache system can be simplified.