361 results about "Access time" patented technology

The invention relates to the technical field of distributed storage, in particular to a high-speed distributed storage system and method, and the system comprises a file index characterization module which carries out the statistics of the access frequency and the recent access timestamp of each data block in the system, and obtains the popularity magnitude of the file data blocks; according to the method, the popularity magnitude concept is introduced on the basis of linkage statistics of the data block access frequency and the recent access time, the data blocks with remarkable service influence in the current system can be recognized, the priority processing sequence of different data blocks in the repair process is divided, and the decision-making efficiency during fault recovery is improved. After the to-be-repaired data blocks are identified, the comprehensive weight values are formed through correlation calculation with the popularity magnitude, and all the weight values are arranged in a descending order, so that dynamic grading and sequential scheduling of repair tasks are realized, and important data blocks are guaranteed to preferentially obtain recovery resource support.

The invention provides a hierarchical storage read cache management method and system, a storage medium and a product, and relates to the field of data storage, the method comprises the following steps: dividing all data blocks into three data hierarchies of hot data, warm data and cold data for respective storage according to access popularity, the data storage positions, the storage data proportions and the information recording precision of the three data levels are different; when the cold data is accessed, the accessed target cold data is upgraded to the temperature data, and the temperature data is updated; when the hot data is accessed, the complete metadata information of the accessed target hot data is cached in the memory, and the hot data is sorted and updated again; and when the temperature data is accessed, determining whether to replace the target hot data with the target temperature data or not according to the size relationship between the first historical access time of the accessed target temperature data and the second historical access time of the target hot data with the lowest access heat. By implementing the method, the occupation of memory resources can be reduced when the popularity of mass data is tracked.

The application discloses a method and device for realizing high-speed operation of an algorithm based on a multi-level field cache, which comprises the following steps: a configuration management CPU sends algorithm parameters to an FPGA chip and saves the algorithm parameters in a RAM; a service processing CPU creates a handle and sends the handle to the configuration management CPU; the configuration management CPU generates a key number according to the handle; the configuration management CPU sends a key library to the FPGA chip; the service processing CPU sends a to-be-operated message to the FPGA chip; an algorithm scheduling module performs fragmentation judgment, and performs subsequent processing according to a sequence judgment result; a password operation module takes the received key, an initialization vector or an intermediate chain variable and the to-be-operated message as input, performs password operation, and outputs a calculation result and an operated intermediate chain variable; whether the to-be-operated message is the last data fragment is judged according to a tail fragment identifier, and subsequent processing is performed according to a tail fragment judgment result. The application can reduce the communication interface and CPU access times, realize high-speed operation of a password algorithm, and improve the overall performance of a password service system.

The invention relates to the technical field of electronic data digital processing, and discloses a data maintenance management method and system based on artificial intelligence. The method comprises the following steps: acquiring multi-dimensional features such as an access time sequence, metadata, an association relationship and a service context of data; constructing a hybrid model fusing a long-short-term memory network and a graph attention network, and predicting a future value score of the data; dynamically generating a hierarchical storage, archiving or deleting strategy based on the score and storage cost-performance model; and through the access feedback after the execution of the monitoring strategy, the prediction model is optimized in a closed-loop manner by using a reinforcement learning mechanism. The system comprises a data feature acquisition module, a value prediction module, a strategy generation module and an execution feedback module. According to the method, self-adaptive, refined and intelligent management of the full life cycle of the data is realized, the utilization efficiency of storage resources is remarkably improved, and the operation and maintenance cost is reduced.

The invention provides an encrypted data storage and key management protection method for a blue-ray disc, which relates to the technical field of data storage security and comprises the following steps of: performing multi-frequency data block division by extracting access time sequence characteristics of original data, calculating a multi-dimensional entropy value to determine an encryption algorithm parameter and a key; and extracting physical characteristic signals of the blue-ray disc to obtain sector defect distribution and evaluate reliability, thereby realizing optimal mapping storage of encrypted data and a multi-dimensional reliability sector group. According to the invention, the data storage security is effectively improved, the key management mechanism is optimized, and the physical characteristics of the blue-ray disc are fully utilized to enhance the data protection capability.

The invention provides an on-off control method and device for a gateway port and a medium. The on-off control method comprises the steps of obtaining historical access log data and threat intelligence data of a target port in a gateway; based on the historical access log data and the threat intelligence data, performing time sequence analysis by using a pre-trained long-short-term memory network model to obtain a predicted security access time period of the target port in a future preset time period; generating a temporary port exposure preset rule of the target port according to the predicted security access time period; determining a traffic feature vector of the real-time traffic data packet of the target port; using a preset deep reinforcement learning agent to determine an on-off control instruction for the target port based on the traffic feature vector and a temporary port exposure preset rule; and executing the on-off control instruction to modify an access control list state of the gateway firewall to the target port. According to the method and the device, dynamic and refined gateway port on-off control can be realized, so that the service flexibility and security are considered.

The invention discloses a polling arbitration method and a polling arbitration system for dynamically updating weight by an EWMA algorithm, and the method comprises the following steps: monitoring and receiving a request signal sent by each AHB bus channel on a matrix bus in real time; taking a preset arbitration period as a time window, collecting the current request access times of each AHB bus channel, reading the historical request times stored in the last period, calculating the request variation of each channel, and performing uniform quantization; and on the basis of the historical weight value and the quantized value, an exponentially weighted moving average value is calculated through an EWMA algorithm. When the method is used, the actual weight value of each AHB channel can be adaptively and dynamically adjusted every fixed arbitration period number, resource allocation and system fairness are improved, and it is ensured that an arbiter can more accurately reflect the actual demand of each AHB channel on a matrix bus.

The invention provides a self-adaptive compatible protocol of a multi-source heterogeneous parking system and a gateway system, and belongs to the technical field of Internet of Things communication. According to the scheme, manufacturer equipment protocols such as Bosch, Gifcian and Haikang are identified through a protocol fingerprint feature library, heterogeneous data are converted into a unified JSON Schema format by utilizing a self-adaptive field mapping rule, and a multi-source heterogeneous parking system is obtained. Seamless access of multi-source equipment data is realized by combining fault-tolerant mechanisms such as off-network storage and rule hot update, the system adopts a three-layer protocol conversion architecture, the protocol identification accuracy is greater than or equal to 99.2%, the new system access time is shortened to 2 hours from 15 people days, the integration cost is reduced by 92%, the problems of protocol fragmentation, data splitting and high docking cost in the prior art can be solved, and the system has a wide application prospect. And access to an intelligent wheel parking platform is supported, and zero loss of data conversion is ensured.

The invention provides an I2C bus communication optimization method and device, equipment and a storage medium, and relates to the technical field of communication, and the method comprises the steps: monitoring a signal quality parameter of an I2C bus to obtain a real-time transmission state; based on the monitored signal quality parameters, dynamically adjusting time sequence parameters by using an adaptive algorithm; when it is detected that devices with different rates exist on the I2C bus, clock domain synchronization is carried out based on the adjusted time sequence parameters, and reliable communication between the mixed rate devices is ensured; and when the plurality of main devices access the I2C bus, judging the bus state according to the monitoring result of the signal quality parameter, and adjusting the access time sequence of the I2C bus to optimize the multi-main competition efficiency. According to the technical scheme, the inherent defects that in a traditional I2C protocol, static time sequence parameter limitation, the multi-main-device competition problem, the mixing rate compatibility is poor and the like are effectively overcome, and the communication performance and efficiency of the I2C bus under the requirements of full-temperature-domain stability, multi-device hot plugging, ultra-low power consumption and high reliability are remarkably improved.

The invention discloses a mapping segment management method and device, electronic equipment and a storage medium, and relates to the technical field of storage. The method comprises the following steps: acquiring the total access times of a plurality of mapping segments included in a mapping table corresponding to the solid state disk in a current period, the first access times of a first mapping segment, and a first mapping temperature corresponding to the first mapping segment in a previous period; determining a second mapping temperature of the first mapping section in the current period according to the first mapping temperature, the first access times and the total access times; according to the second mapping temperature, the preset mapping temperature and the cache region where the first mapping section is located currently, whether cache region migration operation is conducted on the first mapping section or not is determined, and the cache region migration operation comprises migration from the hot cache region to the cold cache region or migration from the cold cache region to the hot cache region. According to the embodiment of the invention, the problems of long time consumption and high delay of random writing and poor writing performance of the solid state disk caused by large capacity of a mapping table from a logic address to a physical address are solved.

The invention relates to the technical field of network security, and discloses a network security supervision system and method based on a network technology, and the system comprises the following modules: a data collection module which is used for obtaining browsing information data of a collection target, and the browsing information data comprises an access time period, an information browsing duration, page stay data, and an access IP address; the data analysis module is used for analyzing and calculating an abnormal behavior value of the collection target according to the browsing information data of the collection target, and comparing the obtained abnormal behavior value with a safety threshold value; and the risk assessment module is used for calculating and acquiring a leakage risk value of the acquisition target and comparing the leakage risk value with a risk threshold value. A data acquisition module is constructed to comprehensively obtain access information, a behavior abnormal value and a leakage risk value are calculated respectively, a safety threshold and a risk threshold are combined to be compared with the obtained behavior abnormal value and the leakage risk value, obvious browsing abnormity is rapidly recognized, and potential information leakage risks can also be recognized.

The invention discloses a half-duplex satellite terminal signal time management method and device and a communication system, and relates to the field of satellite communication, and the method comprises the steps: adding forbidden time period data generated by an allocated time slot into a plurality of conflict management data sets, the plurality of conflict management data sets at least comprise a forward distribution management data set corresponding to a forward frame, a reverse distribution management data set corresponding to a reverse frame, and a terminal conflict management data set corresponding to a target terminal; and a forward unicast time slot which does not conflict with the reverse sending time on the terminal side timeline is allocated to the target terminal, an available time period of the reverse allocation management data set is searched, and a reverse dedicated access time slot which does not conflict with the forward receiving time on the terminal side timeline is allocated to the target terminal. According to the invention, the technical problem that the resource efficiency is reduced due to the fact that extra protection time needs to be set when satellite communication is realized in a half-duplex mode in the prior art is solved.

Time based file access credentials are disclosed herein. For instance authentication data representing a user identifier and a user password associated with the user identifier is received from user input associated with a user identity. In response to determining that the user identifier and the user password are valid and are associated with the user identity and based on first metadata associated the user identity, it is determined that the user identity is authorized to access storage server equipment associated with the authentication server. Furthermore, based on second metadata associated with data resources stored on the storage server equipment, it is determined that the user identity is permitted access to at least one data resource of the data resources.

The invention relates to the technical field of data storage, in particular to a distributed multi-level caching and storage method based on cold and hot data label identification, which comprises the following steps of: acquiring access frequency and access time locality of data blocks in real time, generating dynamic cold and hot label values, and storing the dynamic cold and hot label values into a database; wherein the access time locality is a standard deviation reciprocal of an access interval in the current time window; the data blocks are distributed to different storage hierarchies according to the dynamic cold and hot label values H, meanwhile, a cross-hierarchy label mirror image queue is established, and the label mirror image queue records a pre-distributed address of a target hierarchy; and in a source level keeping service state, writing the data block copy into a target level address specified by the label mirror image queue, and switching an access path in an atomized manner after writing is completed. According to the method, delay jitter caused by burst migration is avoided, a continuous physical space alignment strategy is adopted for the pre-allocated address, the fragment rate is reduced, the SSD sequential write-in performance is improved, migration operation is achieved, and resource switching is rapidly completed.

The invention relates to a signal detection method, device and equipment, a medium and a product. The method comprises the following steps: acquiring a target receiving signal to be detected and a Monte Carlo tree corresponding to a transmitting signal; under the condition that the current node in the Monte Carlo tree is completely expanded, for each child node of the current node, shifting processing is carried out based on the number of access times of the child node, the exploration value of the child node is determined, and the optimal child node of the current node is determined based on the reward value and the exploration value of the child node. Adding the optimal child node into a current search path corresponding to the current iterative search process, taking the optimal child node as a new current node until the current search path is searched, and determining a reward value corresponding to each node in the current search path; and determining a target transmitting signal corresponding to the target receiving signal based on the reward value of each node in the Monte Carlo tree when a preset iteration end condition is satisfied. By adopting the method, the hardware implementation complexity can be reduced.

The invention belongs to the technical field of data security and passwords, and provides an information encryption management method and system. After the system receives the access request, calling user historical behaviors, and calculating behavior baseline stability; obtaining a time deviation degree based on the difference between the current access time and the historical time distribution, obtaining a geographic deviation degree based on the difference between the source address and the geographic attribution, combining the time deviation degree and the geographic deviation degree into a comprehensive deviation degree, and modulating according to the behavior baseline stability to obtain a context disturbance factor. Fusing the context disturbance factor with the static risk index of the target data to obtain a session risk calibration value; and mapping the key length to the step set according to the session risk calibration value to obtain a final key length, and performing encryption. According to the method, the encryption strength can be adaptively improved when abnormal access occurs, the performance is kept under normal access, and the method has real-time performance, context sensing and good generalization ability.

Disclosed are an object data processing method, system and program product, the method being applied to an object data management system, the method comprising: a forwarding node receiving a data operation request sent by a client, the data operation request comprising a first public network address; the forwarding node performs load balancing processing on a plurality of proxy nodes configured with the first public network address, determines a first proxy node for processing the data operation request, and forwards the data operation request to the first proxy node; the first agent node receives the data operation request and executes corresponding operation based on the local cache information; the local cache information comprises information of the object data, access times of the object data, creation time of the object data and a verification value. According to the method provided by the invention, the complexity and the use cost of operation and maintenance management can be reduced, and the first agent node can quickly respond to the data operation request, so that the query efficiency and the downloading efficiency of the object data are improved.

The invention discloses an energy efficiency control method and system for dormancy triggering of an NPU computing unit, relates to the technical field of computers, and aims to effectively reduce memory access times and reduce power consumption by optimizing a cache structure of the NPU computing unit and introducing a multi-level cache mechanism, design an intelligent prefetching mechanism and predict and load data possibly needed subsequently in advance. A task scheduling algorithm is optimized; a strategy based on priority and load awareness is adopted; the load of the calculation unit is reasonably distributed; the response speed and the resource utilization rate of the system are improved; load balancing is achieved, the overall performance of the system is further improved, an intelligent sleep triggering mechanism is designed, when the load of the calculation unit is lower than a preset threshold value, a sleep mode is automatically triggered, the static power consumption of the system is reduced, and a complete energy efficiency control strategy is formed.

The invention provides a dynamic multi-file service storage access control method based on an aging URL (Uniform Resource Locator), which relates to the technical field of file storage control, and comprises the following steps: receiving a URL access request, extracting a user access time point and a duration sequence, and inputting a long-short-term memory neural network to generate a behavior time sequence feature vector; and calculating a time sequence distance value by utilizing a dynamic time warping algorithm, determining an access permission level and a URL effective duration, constructing a temporary access token, and verifying by adopting a multi-level heterogeneous consensus mechanism. According to the method, illegal access can be effectively prevented, the data security is improved, and refined authority control is realized.

The invention belongs to the technical field of data security, and particularly relates to an efficient data circulation system based on a data capsule and a trusted controlled execution environment. The invention aims to cooperatively construct an efficient data element safe circulation architecture based on software and hardware technologies such as attribute-based encryption, a distributed account book and a credible controlled execution environment depending on a data capsule, and innovatively realize management and control of a full life cycle of data; the data capsule is used as a core component, ciphertext packaging and strategy packaging modes are adopted, and a strategy covers five dimensions of an access main body, access time, a use position, access content and a use mode; the production component completes data encryption and capsule generation in a trusted controlled execution environment, and the consumption component can access data only when conditions are met through double-layer attribute encryption and decryption, identity verification and strategy check; besides, the system architecture has wide universality and is suitable for various data circulation scenes, and a safe and efficient circulation mode of data elements is provided.

The invention discloses an optimization method for improving knowledge base image data caching processing, a platform can dynamically adjust a caching strategy according to a data access mode and access time change by utilizing a self-adaptive caching strategy combined with access time change and through replacement between two levels of caching strategies, so that the hit rate of caching is improved, and the caching efficiency is improved. According to the method, the access to a back-end database is reduced, the effective utilization of cache resources is ensured, and the platform can respond to the change of a user access mode in real time by dynamically adjusting a cache strategy, so that smoother and more efficient online transaction experience is provided; wherein the first-level cache stores frequently-used and frequently-accessed data, it is ensured that the data can be rapidly accessed, the time for obtaining the data from a rear-end database is shortened, the response speed of the system is improved, meanwhile, the second-level cache serves as a supplement of the first-level cache, more kinds of data are stored, and the coverage rate and efficiency of the cache are further improved.

The invention relates to the technical field of computer data processing, and discloses an intelligent exhibition hall multi-modal interaction digital human system and an implementation method, which are used for solving the problem that multi-source data of multi-modal interaction lacks a unified clock and verifiable timestamp alignment mechanism in a traditional method. According to the method, a unified time domain and a time version are established on an edge side, terminal access is restrained, and an acquisition time mark, an access time mark and a serial number are written in data or a state; performing gating shunting according to a time version, performing de-duplication and out-of-order rearrangement based on a serial number and double time marks, and generating and solidifying a session window evidence index; locking a transaction window boundary according to the evidence index, generating a participation source list and a transaction number, establishing a fragment reference relationship and generating an alignment voucher; in the linkage stage, phase division issuing is carried out according to a preparation phase, an execution phase and a confirmation phase, backward reading verification is carried out according to an action sequence number, a transaction log is archived, and alignment, rechecking and playback of an interaction link are achieved.

The invention provides a block floating point arithmetic device and a differential equation calculation system, and relates to the field of calculation devices, and the differential equation calculation system manages the flow of data organized in a differential format among storage hierarchies through a buffer controller. And a processing unit array synchronously executes Gaussian-Seidel iterative calculation for differential format optimization based on a wavefront sequence, then compresses a result through a block floating point quantizer, and outputs a solution matrix through a differential reduction unit after convergence, a plurality of parallel processing units in the processing unit array combine precision configuration with a block floating point input format to form a collaborative optimization calculation mode, the complexity of mantissa processing is further controlled in the calculation process by sharing index compression data and dynamic precision parameter permission, and the problems of resource occupation requirements, memory access times and high energy consumption are solved.

The invention discloses a privacy data desensitization method based on a big data algorithm, and relates to the technical field of data desensitization. In the analysis process, all dynamic desensitization departments of different static features are determined based on the access quantity and access time of business personnel of different business departments to each static feature, and feature data of static features which are not frequently accessed by different departments are inquired and desensitized in a dynamic desensitization mode. And synchronously deleting the desensitized data which is inquired and desensitized by adopting a dynamic desensitization mode from the storage management module, so that on one hand, the situation that the storage space occupation amount is unreasonably increased due to a processing mode of one department and one desensitized copy is avoided; and on the other hand, when the original data is updated or the desensitization rule is adjusted, all copies do not need to be synchronously updated, so that the problems of data redundancy, version chaos and the like are avoided.

The present application relates to the technical field of data processing, and more particularly to an educational data processing method based on coexistence of standard reference and norm reference, comprising: obtaining real-time access times, accuracy and interaction frequency; determining a first temporary target; determining a second temporary target; determining a processing target; determining a target evaluation index and an analysis evaluation index; and determining an evaluation grade after adjusting the reference threshold according to the index deviation. The present application can accurately capture the performance of students in different learning scenarios, real-time evaluate their learning state and dynamically adjust by fusing the dual evaluation mechanism of standard reference and norm reference. Through the gradual adjustment of the standard reference threshold and the deep application of the clustering analysis model, the limitations of single evaluation method can be eliminated, the evaluation result is more comprehensive, accurate and personalized, and the problem of low recognition accuracy of the processing device caused by poor data objectivity due to single evaluation standard is effectively solved.

The application relates to the technical field of memory detection, in particular to a memory usage tracking method and a storage medium. The method constructs a target memory block containing a header space and a data space through obtaining a memory allocation request, records memory management information in the header space, and hangs the target memory block to a ring-shaped bidirectional linked list; in a memory access process, the validity of the target memory block is checked and access time information is updated, and safe release is performed according to the memory management information when releasing; through periodic traversal of the ring-shaped bidirectional linked list, in combination with the time information and the reference state of the target memory block, a memory usage tracking result is generated, and continuous monitoring and abnormal occupation analysis of the memory life cycle are realized. The application realizes traceability, checkability and analysis of the memory usage state, thereby effectively improving the safety, reliability and problem positioning efficiency of memory management.

The invention provides a data prefetching method, and relates to the technical field of artificial intelligence, in particular to the technical field of chips and the technical field of caches. The specific implementation scheme is as follows: in response to the situation that the number of available resources in a missed state temporary storage unit is greater than or equal to an available number threshold value for a to-be-processed memory access instruction and the to-be-processed memory access instruction hits target prefetch information, determining a prefetch address according to an access address of the to-be-processed memory access instruction and a prefetch offset in the target prefetch information; the available number threshold value is determined according to continuous memory access information for the memory access instruction to be processed, and the continuous memory access information is determined according to a plurality of continuous first memory access instructions in a memory access time period for the memory access instruction to be processed; the plurality of continuous first memory access instructions are a plurality of instructions with the same offset of any two adjacent addresses in the memory access time period. The invention further provides a data processing device, electronic equipment and a storage medium.

The embodiment of the invention discloses an entity control method and device in a knowledge graph, equipment and a medium, and the method comprises the steps: for any entity in the knowledge graph, determining an attribute field of the entity according to an access event of the entity; wherein the attribute field comprises the last access time; determining a current entity state of the entity according to the final access time of the entity; wherein the current entity state of the entity is one of a birth state, an active state, a dormant state, a to-be-cleaned state and an extinction state; under the condition that the current entity state of the entity is a to-be-cleaned state, performing target operation on the entity, and updating the current entity state of the entity executing the target operation into an extinction state; wherein the target operation comprises one of the following items: combining the entity with a target entity in the knowledge graph, and destroying the entity.

The invention relates to a multi-area data migration method based on association perception and a storage system, and the method comprises the following steps: each storage node records data access information, and periodically uploads the data access information to a central control node, the data access information comprises a source area, time and target data of each access request, the heat of the nodes and the data volume of the nodes; hotness data processing is carried out at the central processing node to obtain hotspot data, and correlation analysis is carried out to obtain the correlation between the hotspot data and the area and the correlation between the hotspot data; and performing a data migration decision based on the data access information and the relevance, the data migration decision including determining nodes migrating data and migrated data in the nodes, and determining an area receiving the data and nodes receiving the data in the area. Compared with the prior art, the method has the advantages of reducing cross-regional access times, relieving generation of hotspots and the like.

The present application relates to the technical field of monitoring, in particular to a server cluster state visualized monitoring method and system, comprising the following steps: obtaining processor utilization time series, extracting change direction and locating reverse position to form time section and associate node identification, combining bandwidth and time delay change to filter link and establish association, mapping field access time to time section, dividing display area according to field number. In the present application, the processor utilization time series is extracted in direction and the reverse position is identified, the section and the node identification are mapped, the link filtering and association are combined with the bandwidth occupation and the transmission time delay change direction, the field access time mapping mechanism is introduced to align the log data with the time section and reconstruct the field sequence in order, the display area is divided according to the field number and the node, the monitoring interface presents the continuous evolution relationship and the spatial distribution characteristics, and the abnormal positioning coherence and the overall state cognition efficiency are improved.