24 results about "Client cache" patented technology

The invention discloses a storage and calculation separation key value storage delay optimization method based on prediction driving, and aims to solve the problems of performance bottleneck and high tail delay caused by passive management and high network delay in a key value storage system in a storage and calculation separation scene. The method comprises the following steps: time load prediction: deploying a time sequence prediction model at a client, and predicting a future read-write request based on a historical access sequence; active cache prefetching: according to the predicted read request, actively preloading hotspot data from a server side to a client side for caching so as to improve the cache hit rate and hide network delay; active write-in optimization: according to the predicted write request, executing maintenance at a server side through predictive pre-insertion and active node splitting, and moving high index structure adjustment overhead out of a key request path to eliminate a write delay peak; and structure sensing batch synchronization: pre-fragmenting a local write buffer by using a server index top layer model of a client cache, and combining multiple independent remote insertion operations into one efficient batch update to reduce data synchronization overhead. Compared with an existing passive management system, the characteristics of model prediction and active cooperation are fully utilized, and the average delay and the tail delay of the system are reduced.

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.

The invention discloses a parallel read-write acceleration device based on a distributed file system client cache, which comprises a write cache module used for writing data into chunk according to a data write-in request and marking the data as a dirty state; when the chunk is fully written or no data is written within a preset time, pressing the chunk into a write shared thread pool; the parallel writing module is used for writing the data into the distributed storage cluster in parallel through a writing thread in the writing shared thread pool; the parallel reading module is used for reading data into a plurality of chunks in advance through a plurality of reading threads in a reading shared thread pool; and the read cache module is used for reading corresponding data from the plurality of chunks according to the data read request and returning the data to the read client. According to the method, the small I / O requests are aggregated through a cache mechanism, and concurrent writing and concurrent pre-reading are combined, so that the delay between writing of the data from the sending end and reading of the data from the receiving end can be remarkably reduced, and the effective bandwidth is improved.

The application provides a data processing method and device, electronic equipment and a storage medium. In a case where at least part of data in a data set including a plurality of data in a server is cached in a client, a version number corresponding to an upper-lower cascade relationship between a version number of at least part of data cached in the client and a version number of at least part of data in a hierarchical tree is obtained. Based on the detection order from the version number in the upper node to the version number in the lower node in the upper-lower cascade relationship and the hierarchical tree in the server, whether at least one data of at least part of data has been updated in the server is detected. Through the application, the amount of data to be detected (the number of times of comparing version numbers) can be reduced, and the detection efficiency can be improved.

Embodiments of the present disclosure provide a table data processing method, device, equipment, medium and product. The method comprises: receiving, by a client, a data viewing request for a target table, and determining a first editing time corresponding to first table data requested to be viewed; wherein the client stores second table data corresponding to the target table at a second editing time; in the case that the first editing time is later than the second editing time, determining, according to the first editing time and the second editing time, to-be-changed data in the second table data corresponding to the data viewing request; backing up the to-be-changed data, and displaying the first table data in the client according to the second table data and the backed-up to-be-changed data. The technical solution achieves the effect of constructing the table data requested to be viewed according to the stored table data, and further achieves the effect of effectively saving the resource occupation space of the client on the basis of ensuring that modifying the stored data does not affect the client cache.

This invention relates to a lock-free I / O scheduling method, apparatus, and storage medium for cloud PCs. Responding to a client session request initiated by a client, the method controls a metadata coordinator to allocate storage nodes to the client and, within those storage nodes, allocates I / O shards for the client, obtaining allocation information. The metadata coordinator then returns the allocation information to the client, and the client caches this allocation information to facilitate the use of the allocation information to fulfill I / O requests. Each I / O shard includes an I / O thread bound to a first CPU core, a data plane development toolset driver, a storage performance development toolset driver, a first lock-free circular buffer, and a second lock-free circular buffer. By binding the CPU core and using lock-free circular buffers, thread switching, lock contention, and most memory copying are eliminated, reducing I / O processing latency from milliseconds to hundreds of microseconds and significantly reducing latency jitter.

To provide a method for managing biological image data in a client cache in a digital pathology analysis system.SOLUTION: Each of the digital pathology system and the server system includes maintaining a cache that is pre-populated with biological image data including pre-processed biological image data in a destination file format, wherein the cache can be populated with the biological image data on the digital pathology system and / or the server system to obtain the biological image data to facilitate real-time or near real-time visualization of the biological image data in a browser or the digital pathology system. The biometric image data on the server is automatically pre-processed upon receipt of the scanned image data.SELECTED DRAWING: None

The application relates to the field of data processing, and discloses a multi-level cache method and device, a computer device and a storage medium. The method comprises the following steps: receiving a first cache update request sent by a client and containing user application setting information; checking whether cache update data matched with the user application setting information exists in a service end cache layer by layer according to the user application setting information; when it is detected that the cache update data matched with the Mth layer in the N-layer application setting information does not exist in the service end cache, sending a second cache update request to a remote database; obtaining database update data returned by the remote database in response to the second cache update request, so as to update the service end cache; obtaining the cache update data matched with the user application setting information from the updated service end cache; and sending the cache update data to the client to update the client cache. The application improves the data processing performance and enhances the user experience.

The embodiment of the application provides a video pre-distribution method and system, which is used for making a client predict a video based on data with higher real-time performance, and improving the accuracy of the pre-distributed video. The method comprises the following steps: a client sends video playing behavior data to a server; the server generates video features based on the video playing behavior data; the server recalls a to-be-watched video list based on the video playing behavior data; the server sends the video features and the to-be-watched video list to the client; the client acquires local user behavior and video playing records; the client determines a local to-be-played list according to the video playing records; the client determines to-be-predicted video features according to the video features, the local user behavior, the to-be-watched video list and the local to-be-played list; the client determines a first to-be-cached video according to the to-be-predicted video features; and the client caches the first to-be-cached video.

A client updates a display of a user interface associated with a state-based client-server application in accordance with a client-side cache. The server supplies data for a new state and additional data for one or more subsequent states that possibly follow the new state if appropriate one or more operations are performed. When a client request is generated that indicates an operation that causes the application to transition to the new state, the client updates the display in accordance with the data that corresponds to the new state from the client-side cache, if available from the client-side cache. The new state data is available since the server has previously supplied the new state data.

The invention discloses a data query method and device, electronic equipment and a storage medium, and relates to the technical field of big data or other related fields, and the method comprises the following steps: receiving a data query request and query conditions; accessing the client cache based on the query condition, and generating a data query result based on a first access result when the returned first access result is not empty; when the first access result is null, accessing a server cache based on the query condition, and when a returned second access result is not null, generating a data query result based on the second access result; and under the condition that the second access result is empty, accessing the server memory based on the query condition, and generating a data query result based on a returned third access result. Through the method and the device, the technical problem of low response speed of front-end large data volume query in related technologies is solved.

The invention provides a data loading method, device and system, equipment, a cluster, a medium and a product. The method is executed by a client side and comprises the steps that a data loading request is obtained, and the data loading request is used for loading data corresponding to a thematic page; the data loading request carries a scene application identifier; a front-end loading module set is determined according to the scene application identifier, the front-end loading module set comprises one or more front-end loading modules associated with the scene application identifier, and the front-end loading module set comprises a first front-end loading module; a dependency library set is obtained according to the front-end loading module set, the dependency library set comprises at least one of a first type of dependency libraries and a second type of dependency libraries, the first type of dependency libraries are used for indicating dependency libraries cached by the first client, and the second type of dependency libraries are used for indicating dependency libraries not cached by the client; and displaying the thematic page according to the dependency library set.

The invention discloses a global unique ID (Identity) strategy implementation method based on preloading and client caching. The method aims to solve the problems of performance bottleneck, single-point fault risk, global uniqueness guarantee and the like faced by global unique service identifier generation in a distributed system. Number segments are pre-allocated from a database in batches through a number sender system, and a client locally caches and automatically increases a consumption ID, and asynchronously requests a new number segment when the number segment is about to be exhausted. And the database is used as a final adjustor in the strategy, and the unique non-overlapping distribution of the number segments is ensured through transactional locking. According to the method, high-performance, high-availability, globally unique and approximately ordered ID generation under high concurrency is realized, and the loading capacity and reliability of the system are remarkably improved.

This invention belongs to the field of data processing and storage technology, and discloses a high-frequency and high-efficiency data addressing and querying method based on shared memory. It includes constructing a columnar metadata index structure, using a hash addressing algorithm to quickly locate the physical address of data, implementing a decoupled concurrent access mechanism, where metadata modification and data reading operate on different cache domains, the client does not hold locks when traversing data, and server-side adjustments to the link do not trigger client cache invalidation, achieving non-blocking cross-process reads. Column definition information is stored in the header of the shared memory; the column definitions are parsed when the client mounts the data, and a runtime mapping table from column names to physical offsets is constructed, achieving zero-copy access through direct memory reads. This invention improves data query efficiency and system concurrency capabilities, and enhances the flexibility and maintainability of the data model.

The application discloses a cloud file processing method based on a tax law file search engine, which comprises a file uploading step, wherein a user uploads a tax law file needed after searching to a cloud, a client cache method is adopted, data is cached in a user terminal browser by using JS and cookie technology, and searching file uploading, selective batch uploading or one-key full uploading are realized; the user manages the uploaded file in detail according to work needs, and different folders are established by self-definition; the application supports file uploading to a cloud file library, realizes seamless connection between tax law searching and tax law application, and the user can upload the file needed after searching to a wisdom cloud- uploading file library, so that the disappearance of intelligent links and file association after storing the file in other media in a traditional mode is avoided; meanwhile, the link relationship between the files still exists, the user can directly click the link to query the corresponding file; and high efficiency of file searching and application is realized in combination with split screen display.

Systems and methods for managing discontinuous access to an Integrated Digital Model Platform (IDMP) implements zero-trust and zero-knowledge security principles with client-side caching. Hie systems enable real-time data backup, efficient synchronization, and conflict resolution between local and cloud storage while maintaining data integrity and user control. An offline-first application supports intermittent connectivity environments, optimizing performance and security. Cache invalidation utilizes cryptographic techniques, including Elliptic Curve Diffie -Hellman, to create time-bound shared secrets between client and enclave for secure data encryption and session management. A token management system orchestrates data operations using fungible and non-fungible idempotent tokens for change detection across multiple tenant environments. The system coordinates between control plane and data plane components to ensure seamless user experience and data consistency during disconnected operations.

A data access system, method, device and equipment, in the application, the first client receives a data write request, the data write request is used to request to write target data; the first client caches a copy of the target data, and calls an erasure code to obtain M shards of the target data, M is a positive integer, and the first client instructs a storage cluster to store the M shards. The storage cluster stores the M shards under the instruction of the first client; when the first client determines that m shards in the M shards have been stored to the storage cluster, the first client feeds back a data write response, the data write response indicates that the target data is written successfully, and m is a positive integer less than M. The first client can feed back the data write response as long as it is determined that m shards have been stored to the storage cluster, thereby effectively reducing the data write delay. The first client side caches a copy of the target data, ensures that at least one complete copy of the target data is stored in the system, and ensures the reliability of the target data.

The invention discloses a configuration updating method, device and system, relates to the technical field of configuration management, and mainly aims to ensure the sequence correctness and version integrity of a server and a client during configuration synchronization. According to the main technical scheme, a configuration updating request sent by a client side is received, the configuration updating request comprises a current version number cached by the client side, and the current version number is a version number of last configuration change of the client side; according to the current version number, a common preset configuration cache queue of the server is inquired, and the configuration cache queue retains historical configuration versions of at least two request periods of the client; if a subsequent configuration version after the current version number exists in the configuration cache queue, returning target configuration content and a target version number corresponding to the subsequent configuration version to the client as response results; and if the subsequent configuration version after the current version number does not exist in the configuration cache queue, returning the null response to the client as a response result.

According to the low-power-consumption implementation method of the wireless sensor network based on the CoAP protocol, when the client requests the resource, the first ETag value obtained before can be carried as a part of the request, after the server receives the request, the ETag value of the current resource is compared with the ETag value provided by the client, if the ETag value of the current resource is different from the ETag value provided by the client, it is indicated that the resource is changed, and if the ETag value of the current resource is not changed, it is indicated that the resource is not changed. According to the method, the server returns new resource content and the updated ETag value, if the resource content and the updated ETag value are the same, the resource does not change, the server can return empty content, and the resource cached by the client is still effective, so that the energy consumption of the wireless sensor network can be remarkably reduced by reducing unnecessary polling requests.

The application discloses a rock physics database construction method for off-site collaborative modeling, which comprises the following steps: adopting a master-slave node architecture mode to store and manage data in different geographic locations; establishing a multi-level cache mechanism comprising a client-side cache, a server-side cache and a distributed cache; updating off-site data based on a data synchronization strategy to ensure the consistency of data between off-site locations; opening a modeling platform to enable users to access or construct modeling components through a browser and select modeling components for combination and construction; establishing a real-time data sharing mechanism and setting management permissions for data synchronization and collaborative editing; collecting rock physics test data and modeling algorithms to make a template, and providing quantitative interpretation and lateral well shear wave velocity prediction functions.

The application discloses a data caching method and device, a computer readable storage medium and a processor. The method comprises the following steps: registering first to-be-cached information and a first data loading interface into a target service through a client caching registration interface, wherein the client caching registration interface and the first data loading interface are pre-generated caching operation information; requesting a first data resource corresponding to the first to-be-cached information from a caching server by using the first data loading interface; and caching the first data resource to a target client. The application solves the technical problem that the data transmission efficiency is not high due to the complex access structure of part of the distributed caching technology in the related art.

The invention belongs to the technical field of computer information and man-machine interaction, and particularly relates to a cloud computing big data GUI intention prediction driven zero-delay interaction system and method.The cloud computing big data GUI intention prediction driven zero-delay interaction system comprises a client module group and a server module group, and user interaction sequence vectors (UISV) are generated through interaction event capturing and vectorization; triggering multi-hypothesis intention prediction of a server side based on a deep learning model through a predictive request, and further pre-fetching a data result set corresponding to a high-confidence prediction state and actively pushing the data result set to a client side for caching; and after the user operation is stable, the client queries the local cache through the prediction state hash to realize instantaneous rendering. By adopting the technical scheme, the interaction delay can be reduced from hundreds of milliseconds to subten milliseconds, the redundancy calculation and network overhead are remarkably reduced, and the user analysis fluency and the system self-adaptive capability are improved.

The invention provides a distributed computing cache system, a task scheduling method, electronic equipment, a computer readable medium and a computer program product. The distributed computing cache system comprises an SDK unit used for providing an interface for a client so that the client can submit a computing task through the SDK unit, after the computing task is submitted, the SDK unit searches for an available cache task based on a cache mechanism, and if the available cache task is not found, the SDK unit requests a management unit to allocate the available cache task for the computing task; the management unit is used for responding to a cache task allocation request from the SDK unit, creating or allocating an available cache task for the calculation task request according to the current resource use condition and load condition, and returning the created or allocated cache task to the client through the SDK unit; and the cache task is used for receiving the calculation task request from the SDK unit, loading the operation environment according to the task requirement and executing the calculation task.