200 results about "Access time" patented technology

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 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 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 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 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.

The application discloses a star flash MESH networking device network access configuration method, device, system and medium, the method receives and analyzes the data information sent by the sub-device through scanning, and then quickly judges whether the data information is network access request information; when the data information sent by the sub-device is the network access request information, the network access process of the sub-device is executed, and the simple and efficient network access process of the sub-device is realized; the technical problems that the device network access time is long and the device network access efficiency is low in the related art, which exist in the device discovery, authentication, configuration and other multiple steps of the MESH networking device network access.

The application discloses a privacy data desensitization method based on a big data algorithm, and relates to the technical field of data desensitization.The application analyzes a plurality of access log records of a plurality of pre-access personnel, determines all dynamic desensitization departments of different static features based on the access quantity and access time of the business personnel of different business departments to the static features during the analysis process, adopts a dynamic desensitization mode to query and desensitize the feature data of the static features that are not frequently accessed by different departments, and deletes the desensitized data that is queried and desensitized by the dynamic desensitization mode from a storage management module.Through the mode, on the one hand, the unreasonable increase of the storage space occupancy caused by the 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 rules are adjusted, it is not necessary to synchronously update all copies, so that the problems such as data redundancy and version confusion are avoided.

A data processing apparatus (100) and method. The data processing device (100) comprises a remote direct memory module access (RDMA) module (110), a local agent (HA) module (120) and a memory module (130), the HA module (120) calculates local data and operands in an RDMA message, and writes an obtained calculation result into the memory module (130) through a non-bus interface, so that the situation that the local data is read from the memory module (130) through a bus can be avoided, and the data processing efficiency is improved. And the calculation result is written into the memory module (130) through the bus, so that the processing device (100) can optimize the calculation part in the nodes performing the collective communication, and the communication delay between the nodes can be reduced. Meanwhile, since the processing device (100) can reduce the number of bus accesses, it is possible to contribute to reducing the bandwidth consumption of the bus.

The invention relates to the technical field of multi-modular redundancy communication and security access, and discloses a national secret security edge gateway system for multi-modular redundancy communication, which comprises a service priority identification unit; the key instruction channel is used for constantly processing a time delay encryption key instruction and dynamically mapping the key instruction to a static multiplexing resource of an optimal link; according to the method, the problem that static access time slots are polluted by dynamic state secret processing time delay is solved, the constant processing time delay of the key instruction channel is matched with a time window of static multiplexing resources, and the dynamic processing time delay of the key instruction channel is matched with the time window of the static multiplexing resources. And the risks of priority reversal and silent interruption of the encryption step are avoided, and a deterministic access service is provided.

The embodiment of the invention provides a cache system optimization method and device, optimization equipment, a program product and a medium, and is applied to the technical field of cloud computing and big data. The method comprises the steps that based on a counting minimum sketch CMS data structure, a first access frequency and a second access frequency corresponding to a target data object are obtained, the first access frequency is an estimated value of the access frequency of the target data object in a first time period, and the second access frequency is an estimated value of the access frequency of the target data object in a second time period; the second access frequency is an estimated value of the access frequency of the target data object in a second time period, the first time period and the second time period are directly linked in the time dimension, and the first time period is later than the second time period; determining an access change rate corresponding to the target data object according to the first access times and the second access times; and adjusting the number of copies of the target data object according to the access change rate. By adopting the method, the problems of high monitoring overhead and cache resource waste in a cache system optimization scheme in the prior art are solved.

The embodiment of the present specification provides a cold and hot page statistics method and device, which is applied to a cold and hot page identification module of a memory controller, wherein the cold and hot page statistics method comprises: in response to a memory access instruction sent by a processor, generating an access record for an initial memory page according to the memory access instruction, updating the access times of the initial memory page in a data list according to the access record, and determining a cold memory page or a hot memory page according to the access times of the initial memory page in the data list. By obtaining the memory access instruction sent by the processor, the real memory access can be detected, the cache access is avoided from being regarded as the memory access to perform false statistics, and since each memory access can be recorded by the access record, the probabilistic error in the sampling statistics is avoided, and the accuracy of the cold and hot page identification is improved.

The present disclosure provides an interface access processing method and apparatus, a computer device and a storage medium, and the method includes: acquiring target access behavior sequences of an access party within a first specified time range, the target access behavior sequences including an access action behavior sequence and an access time interval sequence; calling an identification model for prediction processing to obtain an identification result based on the access action sequence and the access time interval sequence, the identification result being used for representing a classification probability that the access party has abnormal behaviors; and controlling an interface access request within a second specified time range of the access party according to the identification result, a start time of the second specified time range being later than an end time of the first specified time range.

The present application relates to a graphics processing unit (GPU) performance analysis method and a computer device, and a storage medium. The method includes: submitting a GPU task queue generated by a central processing unit (CPU) to a GPU; the GPU task queue including a plurality of GPU tasks sorted by processing start moments, each of the GPU tasks being configured with respective access addresses of a plurality of storage spaces required to be accessed when the GPU task is processed; processing the plurality of GPU tasks through the GPU according to a processing time sequence of each GPU task in the task queue; and acquiring, for a memory access procedure required in a GPU task processing procedure, execution performance reference information of the GPU and / or the CPU for each GPU task according to access time information generated by the CPU and the GPU for the memory access procedure.

This disclosure relates to an access control method and system, a client, a server, and a storage medium. The method includes: when a user logs into the system, obtaining basic user information and access information from the server, wherein the access information includes a first access time; caching the access information on the client; rendering the client interface based on the access information; sending an operation request to the server, wherein the operation request includes the first access time, so that the server can compare the first access time with a second access time in the database; receiving response data returned by the server, wherein the response data includes an access time field; and rendering the page based on the response data. In this disclosure, if a user's access permissions are changed, the user can directly obtain the latest access data when making an operation request, and the client can directly render based on the latest access information without needing to make additional user access permission requests.

This application discloses an Nginx log compression and analysis method, device, and readable storage medium. The method includes reading access log files under a single Nginx instance; determining compression segments based on access time and a preset compression duration; compressing the access log files within a single compression segment into a first compressed record, the first compressed record including at least one first field and a corresponding first attribute value; compressing access log files with the same access URL into a second compressed record, the second compressed record including at least one second field and a corresponding second attribute value; and sending the first and second compressed records to a database. This application addresses the needs of log analysis from project and function (URL) dimensions by compressing logs and storing them in an Elasticsearch index. It provides a series of metrics in three directions—performance, errors, and client—to reduce the impact of compression and highlight the value of logs.

A gateway log analysis and abnormal access co-processing method comprises the steps that multi-dimensional log analysis and visualization processing are conducted on a gateway log, and the dimensions comprise a client IP, access time and access service; based on the gateway access log, performing statistics and correlation analysis on the access request of the user by adopting a machine learning method so as to extract user attributes, and dynamically adjusting the access permission of the corresponding user according to the user attributes; based on the multi-dimensional analysis result and the user attribute, whether the access is abnormal access is judged, and when the access is judged to be abnormal access, blocking or limiting measures are automatically executed. According to the method, blocking or other limiting measures can be automatically taken for abnormal access in a high-performance computing environment, resource waste is avoided, normal operation of services is guaranteed, and the safety and stability of a system are improved.

The invention provides a CPU end DLRM reasoning dynamic optimization method based on load pre-calculation, and belongs to the technical field of deep learning and computer system optimization. Comprising the following steps: step 1, dynamic core distribution: S1, constructing a heterogeneous load quantification model of an embedded search task and a Bottom-MLP task, S2, carrying out load sampling and dynamic adjustment, and S3, modifying a deep learning framework thread pool mechanism, and distributing and binding a CPU physical core for the two types of tasks to realize parallel scheduling; and step 2, dynamic prefetching: T1, determining timeliness matching and accurate prefetching principles and defining a prefetching distance as a key parameter according to embedded search three-level indirect addressing characteristics, T2, recording an iteration period, separating and aggregating calculation time and DRAM access time in an embed dingbag operator core cycle, and T3, dynamically calculating the prefetching distance and inserting a prefetching instruction to execute prefetching. According to the method, the problems of unbalanced heterogeneous task core distribution and irregular memory access prefetching failure are effectively solved, the DLRM reasoning end-to-end delay is reduced, and the CPU resource utilization rate and the cache hit rate are improved.

The invention belongs to the technical field of satellite communication, and particularly relates to a terminal time-frequency synchronization method, system and device and a storage medium. In the prior art, pre-stored ephemeris precision is limited; and when the periodic ephemeris broadcast is received, the terminal must successfully decode the SIB to obtain the ephemeris, so that the initial access time is prolonged. Comprising the following steps: a terminal calculates first satellite PVT data by using a pre-stored ephemeris and a PVT of the terminal, calculates coarse time frequency offset and compensates the coarse time frequency offset to complete downlink synchronization; then periodically decoding the SIB1-BIS message, obtaining second satellite PVT data through high-level analysis, and calculating fine time-frequency offset to realize uplink synchronization; and after synchronization, the latest second satellite PVT data is cached and used for real-time interpolation in communication, so that the synchronization precision and robustness are improved.

The invention discloses a rendering method and system for GIS mass data of electric power metering equipment. The method comprises the steps that a background server regularly generates an equipment GIS full-amount snapshot data binary file; the client side directly obtains the equipment GIS full-amount snapshot data binary file from the file server; the client analyzes the binary file and renders the binary file; acquiring longitude and latitude coordinate data of state change from the binary file generation time to the access time, and performing incremental updating; and when the data of the equipment changes, data updating is actively carried out on the background server. According to the method, the bottleneck problem of GIS visualization performance in real-time position monitoring of massive equipment such as a power concentrator and a meter is solved.

The application provides a kind of synchronous radiation light source data migration method, system and electronic equipment, relate to data storage technical field, the method can be based on the creation time, access time, access frequency and keyword search word frequency of data and other factors Quantification of the temperature of data, and according to this temperature, the future access mode of data is estimated, the accurate judgment of hot temperature cold data is realized, and the hot temperature cold data can be more reasonably stored in the corresponding hot temperature cold storage pool, solve the problem that the synchronous radiation light source data in the prior art exists in the process of data migration Data migration is not reasonable, the problem of low data migration efficiency.

The application discloses a kind of arbitration methods for memory interface, including detecting the state of memory interface;If the state of memory interface is idle state, when receiving at least one host sent access request, according to the priority level of each host self, the request of highest priority is executed first, after executing current access request, if there is other access request, the state of memory interface is converted from idle state to non-idle state;If the state of memory interface is non-idle state, for each host's access request, in addition to the priority of host self, there is also a software configurable access intensity that drops with access time, according to the continuous request blocking bit selected by user, the request of host currently executed, the access intensity corresponding to access request blocks the response of other host and / or allows to be higher priority request of other host to be robbed. So that arbitration mechanism function is more powerful, with real-time, more easily meet user demand.

The invention provides a data fragment copy deployment method, a data fragment copy deployment device, a medium and electronic equipment, in the method, a copy combination which is subjected to co-occurrence access in a historical transaction execution process can be determined by obtaining access time delay among data centers and historical transaction execution records of the data centers. On the basis, each data fragment copy contained in a high-frequency co-occurrence first-class copy combination is deployed in the same data center, and each data fragment copy contained in a low-frequency co-occurrence second-class copy combination is deployed in each data center of which the network delay is as small as possible. According to the method, the target data center of each data fragment copy is determined, and each data fragment copy is redeployed to the corresponding target data center, so that the localized access proportion of the high-frequency transaction is improved, and the overall execution efficiency of the distributed transaction is improved.

The application provides a gateway flow limiting method and system based on a user session, and has the characteristics that the method comprises the following steps: S1, receiving a login request of a first user, and judging whether the first user has a login record; S2, if the first user has a login record, judging whether a first queue meets a partition limit condition, and if yes, putting a first user session into the first queue based on an LRU algorithm; S3, if the first queue does not meet the partition limit condition, eliminating a second user session at the last rank of the first queue based on the LRU algorithm, and then putting the first user session into the first queue based on the LRU algorithm; S4, updating the last access time of the first user session, and updating the first queue based on the LRU algorithm; and S5, responding to an access request of the first user, and providing gateway service for the first user. The application reuses an existing user session and / or token mechanism, realizes gateway flow limiting by using an LRU algorithm, and improves user experience.

Based on the next write address, the relevant partition is selectively written directly to the volatile memory (e.g., SRAM) of the controller and the remaining partition is written to the volatile memory (e.g., SRAM) of the host. A controller (e.g., a DRAM or HMB) avoids the need to make any additional read from the host's volatile memory and any additional write from the controller's volatile memory. The need to avoid any additional read from the host's volatile memory, which has slower access times than the controller's volatile memory, improves exit latency in boot and low power state exit procedures. The controller may store the parity data partition and / or the next write address in the non-volatile memory prior to writing the parity data partition to the controller or the host. The next write address is then evaluated to determine whether the parity data partition is written to the volatile memory of the controller or the volatile memory of the host.

The invention discloses an IO scheduling method, magnetic tape unit equipment and a storage system, and relates to the technical field of magnetic tapes. The method comprises the following steps: training a time delay prediction model according to addressing parameters of a motor in an actual use process, predicting access time delays of an IO flow under different scheduling algorithms by adopting the trained time delay prediction model, and selecting a scheduling algorithm corresponding to the minimum predicted time delay to control the motor, so that the motor drives a magnetic tape to be wound, and the service life of the magnetic tape is prolonged. And the area in the magnetic tape is accessed by the magnetic head, so that the time delay required for scheduling the motor in the magnetic tape unit equipment is reduced, and the access efficiency of the magnetic tape unit equipment is improved. Wherein the time delay prediction model can be determined according to addressing parameters of the motor, for example, the addressing parameters can include but not limited to the maximum speed, the cruising speed, the read-write speed, the acceleration acceleration, the deceleration acceleration, the lane changing time delay, the turning-around time delay and the like of the motor.