41 results about "Cache server" patented technology

The invention relates to the field of data processing, in particular to a distributed flow limiting method and device, equipment and a medium, which are used for realizing distributed flow limiting control on a service request. The method comprises the following steps: receiving business requests of business servers connected with a cache server, and clustering the business requests based on multi-dimensional object information of the business requests to obtain request clusters; aiming at each request cluster, respectively executing the following steps: sorting the service requests in the request cluster to obtain a request sequence; aiming at each service request in the request sequence, sequentially executing the following steps: acquiring the count of a counter corresponding to the multi-dimensional object information of the service request, comparing the count with a first quantity threshold value, and judging whether the count is updated or not based on a first comparison result; and sending the first comparison result to a service server corresponding to the service request to enable the service server to analyze the first comparison result, and if a return value in an analysis result is a first set value, performing flow limiting processing on the service request.

The invention discloses a distributed data preloading and querying method and device and a storage medium. The method comprises the steps of searching data corresponding to a query key in a cache region integrated by an application server; if the query result of the query key is hit in the cache region, returning the query result; if the query result of the query key is not hit in the cache region, determining whether a target query key which is the same as the query key exists in the executed database query; and if the target query key does not exist, initiating a query request based on the query key to the database, and storing a query result returned by the database into a cache region integrated by the application server to respond to the query of the same query key. According to the method and the device, the cache is integrated in the application server, the resource overhead of an independent cache server is eliminated, the concurrent query when the cache is missed is merged and processed, and the concurrency is changed into single query, so that the repeated request pressure of the database is reduced fundamentally, and the risk of cache breakdown is effectively prevented.

The present disclosure relates to a method, a device, and a computer program for constructing a quantum cryptographic communication network. More specifically, the present disclosure provides a method for constructing, in a device, a quantum cryptographic communication network including multiple unit nodes which include multiple quantum cryptographic communication unit nodes, including application nodes and quantum key distribution nodes, and one or more relay unit nodes configured to relay between the quantum key distribution nodes, the method including: calculating, for one or more target unit nodes among the multiple unit nodes, a weight reflecting a quantum key demand at the target unit nodes according to communication between the application nodes among the multiple quantum cryptographic communication unit nodes; and selecting one or more unit nodes, which are to be provided with cache servers for the communication between the application nodes, from among the target unit nodes based on the calculated weight.

The present application relates to the technical field of content delivery networks (CDNs), and provides a method and system for improving a cache hit rate of an edge CDN sink node. The method comprises: sink node cache servers each recording each URL request on the basis of a request sequence and saving same in a file; deploying an agent on each cache server to perform collection on the file, and collecting a compressed file every set time and uploading the compressed file to a central cache analysis service cluster; saving the number of access times of all URLs in a region, updating the access frequencies of the URLs in real time and sorting same, and screening for a most popular URL list; acquiring, from a database every set time, top N data records among data records that are sorted in a descending sequence on the basis of historical access times; using a CF to convert the top N data records into resource hotspot bitmap information, and issuing the resource hotspot bitmap information to each sink node cache server; and saving the resource hotspot bitmap information in a memory, and persisting the resource hotspot bitmap information in a magnetic disk.

The application discloses a data synchronization method, device, equipment, storage medium and product. The method comprises the following steps: receiving a first to-be-synchronized file list sent by a synchronization control server, wherein the first to-be-synchronized file list comprises a plurality of file information; selecting first file information from the plurality of file information; sending a first request carrying the first file information to a cache server; in the case that the synchronization state of the first file fed back based on the first request is that the first file is not synchronized by other synchronization servers except the first synchronization server among a plurality of synchronization servers, synchronizing the first file to a file server; in the case that the first file is successfully synchronized, returning to the step of selecting the first file information from the plurality of file information until the files corresponding to the plurality of file information are all synchronized to the file server. The application embodiment improves the synchronization efficiency of a large number of files.

The invention discloses a locomotive data automatic landing system and method based on the 5G millimeter wave technology. The method comprises a vehicle-mounted subsystem and a ground subsystem. The vehicle-mounted subsystem is arranged on a locomotive and comprises an audio and video data acquisition module, a security gateway, a high-speed buffer pool and a 5G vehicle-mounted terminal; the ground subsystem comprises a 5G ground base station, a ground cache server, a dump management platform and a data processing and storage center. When a locomotive enters a locomotive depot servicing yard area and / or a station area, a locomotive-ground wireless communication link based on a millimeter wave frequency band is established between the 5G vehicle-mounted terminal and the 5G ground base station, and data are sent to the ground subsystem through the locomotive-ground wireless communication link. By means of the 5G millimeter wave technology, high-capacity audio and video data and operation state data of the locomotive can be rapidly, automatically and reliably grounded, and the transmission efficiency of the locomotive-ground data and the overall safety, real-time performance and controllability of the system are improved.

The present specification provides a data synchronization system and method, wherein the data synchronization system comprises: a database and a cache server configured by an information table associated with the database; the database is used to receive an update request submitted by a client for a database transaction processing task; in response to the update request, the initial data meeting the synchronization condition is filtered from the locally stored data and synchronized to the target cache of the cache server; the cache server is used to create a data filtering task for the initial data in the target cache; by executing the data filtering task, the target data is determined and deleted from the initial data stored in the target cache; the task execution result of the database transaction processing task is determined according to the deletion result, and the client is responded.

The application discloses a data processing method, an electronic device, a storage medium and a program product. The method comprises the following steps: in response to receiving a data request, obtaining a data amount of the data request and a current flow limit value of a flow limiter, wherein the current flow limit value is used to represent an upper limit value of a data amount currently processed by the flow limiter; determining a flow interaction state of the flow limiter based on the data amount and the current flow limit value, wherein the flow interaction state is used to represent a state of whether the flow limiter and a flow cache server perform flow interaction; and forwarding the data request to a data processing end based on the flow interaction state and the current flow limit value. The application solves the technical problem that the related art has a strong dependence risk on the flow cache server.

This invention provides a lightweight digital twin migration method and system for vehicle-to-everything (V2X) scenarios, relating to the field of urban V2X digital twins. The invention first constructs a V2X digital twin system, including a communication model, a synchronization delay model, a caching model, and a migration model. Based on the migration model, a digital twin migration utility function is defined. Based on the digital twin migration utility function, the communication model, the synchronization delay model, and the caching model, an optimization problem and its constraints for the V2X digital twin system are established. The optimization problem of the V2X digital twin system is solved to obtain the caching server and the optimal migration strategy. The digital twin is then migrated according to the optimal migration strategy, achieving digital twin migration. This invention utilizes a caching mechanism to effectively address the lag in vehicle twin migration and improve migration flexibility. Simultaneously, the use of Tiny MLP ensures effective feature representation capabilities while adapting to resource-constrained or low-latency scenarios, completing the transformation from environmental observation to action decision-making, and achieving digital twin migration while reducing migration time and energy consumption.

The invention provides an edge cloud collaborative data processing system and method based on deep learning, and relates to the technical field of edge cloud collaboration, and the method comprises the steps: extracting a task feature vector of edge terminal equipment from a data task flow; constructing a task dependency graph, and determining an allocation label during sub-task processing through the task dependency graph and the resource allocation granularity of the sub-tasks in the data task flow; carrying out confidence adjustment on each distribution label to obtain execution confidence of the subtasks on the edge terminal equipment, and further carrying out load transfer analysis on the edge terminal equipment to obtain load transfer quantity of the edge terminal equipment; when the load transfer amount is smaller than a preset load transfer threshold value, the subtasks in the data task flow are asynchronously executed in the edge terminal device, and otherwise, the data task flow in the edge terminal device is sent to the cloud server through the edge cache server for batch processing. The task load between the edge terminal device and the cloud server can be divided under the condition that heterogeneous computing resources are limited.

The invention discloses a cache dynamic preheating method, device and equipment based on service peak prediction and a medium, which are used for solving the technical problems that the prior art depends on artificial experience, is lagged in preheating, cannot avoid risks in advance, is low in prediction precision and weak in anti-interference capability, and a cache server is easy to overload. The method comprises the steps that when preheating prediction is triggered, service feature data and system resource data in a preset time period are collected; extracting a time feature, a service trend feature and an activity influence feature from the service feature data and the system resource data; inputting the time feature, the business trend feature and the activity influence feature into a pre-trained multi-dimensional peak value prediction model to obtain a predicted peak value time period, a predicted peak value per second query rate and a predicted hotspot key list; acquiring real-time system resources; and performing gradient preheating on the predicted hotspot key list according to the real-time system resources, the predicted peak value time period and the predicted peak value per second query rate.

The present disclosure relates to a method, a device, and a computer program for constructing a quantum cryptographic communication network. More specifically, the present disclosure provides a method for constructing, in a device, a quantum cryptographic communication network including multiple unit nodes which include multiple quantum cryptographic communication unit nodes, including application nodes and quantum key distribution nodes, and one or more relay unit nodes configured to relay between the quantum key distribution nodes, the method including: calculating, for one or more target unit nodes among the multiple unit nodes, a weight reflecting a quantum key demand at the target unit nodes according to communication between the application nodes among the multiple quantum cryptographic communication unit nodes; and selecting one or more unit nodes, which are to be provided with cache servers for the communication between the application nodes, from among the target unit nodes based on the calculated weight.

The utility model discloses a high -speed train set vehicle non -real -time data download system based on 5G network, including vehicle equipment and ground equipment, and vehicle equipment is connected with ground equipment through 5G network wireless communication, vehicle equipment includes 5G antenna and host, and 5G antenna and host are split -type and set up between, and 5G antenna is connected with host through internal cable, and host is connected with high -speed train set WTD gateway board card through category 6 network cable, ground equipment includes 5G ground base station, cache server, service server, and 5G ground base station is connected with cache server through optical fiber, and cache server intercommunicates with service server through intranet. Through the use 5G millimeter wave technology, realize high -speed train set vehicle non -real -time data's high -speed landing transmission, through 5G millimeter wave technology upgrade non -real -time data transmission channel, after train enters millimeter wave hotspot coverage, through 5G, non -real -time data is transmitted to high -speed train set data application workstation, to improve data transmission efficiency, avoid the malpractice of manual download.

The invention discloses a multi-sensor data fusion low-delay publishing and subscribing method, which comprises the following steps that: 1, a data processing module acquires original sensor data from various sensors through a data transmission protocol, and introduces a timestamp mechanism to enable each sensor to attach a timestamp when collecting data, aligning different sensor data according to the timestamps by using the time synchronization model; 2, preprocessing original sensor data through a data processing module; 3, the data processing module fuses the plurality of preprocessed sensor data by using a data fusion model; 4, introducing a Keep-Alive mechanism of the Redis into a Redis client library, packaging the fused data into a message format matched with a Redis publishing and subscribing mechanism, and publishing the data to a specified channel of a Redis cache server; and 5, the subscription client subscribes the data of the specified channel of the Redis cache server through the Redis client library. According to the invention, rapid publishing and subscription of multiple sensing data are realized, and the processing quality and efficiency of the sensing data are improved.

The application provides a kind of edge cloud collaborative data processing system and method based on deep learning, related to edge cloud collaborative technical field, the task characteristic vector of edge terminal equipment is extracted from data task flow;Further construct task dependency graph, determine the allocation label of subtask processing through the resource allocation granularity of subtask in task dependency graph and data task flow;Confidence adjustment is carried out to each allocation label, to obtain the execution confidence of subtask in edge terminal equipment, further load transfer analysis is carried out to edge terminal equipment, to obtain the load transfer amount of edge terminal equipment;When load transfer amount is less than preset load transfer threshold, the subtask in data task flow is executed asynchronously in edge terminal equipment, otherwise, the data task flow in edge terminal equipment is sent to cloud server for batch processing through edge cache server, can be realized in the condition of limited heterogeneous computing resources, the task load between edge terminal equipment and cloud server is divided.

An IO node to which field instruments that acquire measurement data are connected, multiple controllers that perform calculation based on the measurement data acquired by the field instruments, and a cache server are included. At each of control timings that are regular periods of time predetermined at regular intervals, each of the multiple controllers determines whether the measurement data acquired by the field instruments is being held. When the cache server is not holding the measurement data, each of the multiple controllers acquires, from the IO node, the measurement data acquired by the field instruments connected to the IO node. When the cache server is holding the measurement data, each of the multiple controllers acquires, from the cache server, the measurement data acquired by the field instruments. Each of the multiple controllers performs predetermined calculation based on the measurement data received from the IO node or the cache server.

The application provides a data closed loop synchronization method, system and storage medium, and relates to the technical field of informatization in the construction industry. The method comprises the following steps: when the terminal is in a network environment, receiving and caching offline data content issued by a server; when the terminal is in a non-network or weak network environment, receiving operation input related to a work process and generating an operation log, the operation log containing work operation content and a time validity identifier of offline work operation; after the terminal network is restored, uploading the operation log and other work data to the server based on a preset rule; initiating a verification processing request to the server, so that the server verifies the operation log, and completes subsequent business processing based on the operation log that passes the verification. Through the collaborative mechanism of the terminal and the server, the application can reduce the risk of data loss, fraud and business interruption caused by unstable network, and realize stable closed loop operation of the construction site business.

In order to suppress delays in data updating, increases in load, delays in access using a host name, and the like in a DNS system, this DNS control device controls a DNS cache server, and includes: a DNS control unit that manages change content of a DNS record; a setting unit that sets the change content of the DNS record in a DNS content server; and a cache server control unit that instructs the DNS cache server to discard a cache corresponding to the DNS record.

This invention discloses a method for deduplicating multi-virtual machine hot migration data in a cloud computing environment, belonging to the field of cloud computing technology. The specific steps include: continuously learning from virtual machines in a test environment to master a certain level of virtual machine memory data hash digest->value pairs based on the operating system image ID, and understanding the data hit rate; and importing the data learned from the test environment into a migration cache server to complete the deduplication of multi-virtual machine hot migration data. This invention can effectively reduce virtual machine hot migration time, while reducing the pressure of virtual machine migration on the business network and mitigating business risks for other cloud hosts.

According to one embodiment, a processor of a cache server delivers content acquired from an origin server to a client, using a storage device as a cache of the contents. When an error occurs in reading the content from the storage device, the processor determines whether or not to recover the content based on a recovery amount of a delivery capability of the cache server as a result of recovering the content and a cost of writing data to the storage device associated with recovery of the content. When determined to recover the content, the processor selects a content recovery method based on a first remaining retention period during which the content should be retained and a second remaining retention period until the content is to be erased from the storage device.

Embodiments of the present application provide a data processing method and device based on heterogeneous storage, equipment and storage medium. The method comprises: in response to a file write instruction issued by a client device to a virtual disk, storing content information of a file to be written in the virtual disk into a cache server, generating metadata of the file to be written, and storing the metadata of the file to be written into a metadata server; the metadata represents the content format and file attributes of the file; the client device is provided with a virtual disk; the content information of the file to be written is stored into a preset heterogeneous storage device to obtain storage location information of the file to be written; the preset heterogeneous storage device represents a device different from the storage medium of the electronic device, and the storage location information represents the preset heterogeneous storage device where the file is located and the position of the file in the preset heterogeneous storage device; and the storage location information of the file to be written is updated to the metadata server.

Systems and methods for sloppy routing are provided. A client transmits a DNS query corresponding to a requested resource to a content delivery network (CDN) service provider. In some embodiments, the CDN service provider processes the DNS query to determine whether a threshold content delivery bandwidth has been exceeded by data links at cache servers. In other embodiments, additionally or alternatively, the CDN service provider determines whether a content provider has exceeded a threshold network usage that indicates a price at which the CDN service provider to provide content on behalf of the content provider. Using both or either of these thresholds, the CDN service provider can further process the DNS query by providing an alternative resource identifier or a cache IP address, both associated with an alternative POP. In some embodiments, the CDN service provider determines a routing mode for the response to the DNS query.

The invention relates to a data processing method and device, electronic equipment and a storage medium, the method is applied to a client, and the method comprises the following steps: for data currently cached in a first preset cache region, segmenting the data according to a preset boundary identifier to obtain a plurality of row data; the first preset cache region is used for continuously caching data fragments sent by the server; aiming at each row of data, analyzing the row of data; under the condition that the row data is successfully analyzed, removing the row data from the first preset cache region so as to carry out data processing on the row data; and under the condition that the analysis of the row data fails, retaining the row data in the first preset cache region so as to merge the row data with subsequent data received by the first preset cache region. Therefore, the data loss rate caused by data fragmentation can be reduced, and the arrival rate and integrity of the data stream sent to the client by the server can be improved, so that the fault-tolerant capability and continuity of data processing can be improved.

This invention discloses a remote backup method and system suitable for narrow bandwidth environments, relating to the field of data backup and recovery technology. The method includes the following steps: deploying a cache server to build a centralized relay architecture; receiving backup instructions and determining the backup type; if it is an incremental backup, entering incremental caching mode; if it is the first or full backup, entering full pass-through mode; performing sparse file, bitmap, and metadata collaborative capture for incremental backup; performing pass-through forwarding mode for full backup; and using QoS-based intelligent bandwidth utilization and transmission priority scheduling. This invention accurately captures incremental data through a dual-file mechanism of sparse files and bitmaps, avoiding storage resource waste. Combined with a dual QoS strategy of snapshot pre-transmission and dynamic priority scheduling, it maximizes narrow bandwidth resource utilization, balances fairness in multi-client backup with core business priority, and efficiently adapts to narrow bandwidth, high latency cross-data center backup scenarios.

A system for managing cache data based on a score is provided. The system includes at least one processor that implements: a score management module configured to receive an inquiry request for data from a client terminal and obtain a score of the data by using inquiry frequency information of the data for each time period; and a data management module configured to store the data in a local cache of a service server or a cache server based on the score.

The application provides a service processing method and device, equipment, storage medium and program product, which are applied to the technical field of service processing and data caching, and include the following steps: a first service request received by a first interface is acquired, and a key list of an interface white list of the first interface is acquired, the first service request includes an object identifier of a target object, and the key list of the interface white list of the first interface includes keys of N different types of white lists corresponding to the first interface; based on the key list of the interface white list of the first interface and the object identifier of the target object, N object white lists corresponding to the target object are loaded from a cache server in batches, the N object white lists are keys and values of the target object under the N different types of white lists; and the first service request is processed based on the N object white lists. The application can reduce the access times of the cache server and improve the service processing speed.

The invention relates to the technical field of intelligent terminal equipment, and discloses an IPv6 priority optimization method, device and equipment. The method comprises the following steps: when a domain name corresponding to a domain name address resolution instruction meets a condition, sending a domain name IP address resolution request corresponding to an IP address type to a domain name server; after a request response of the domain name server is received within a first preset duration, adding an IP address corresponding to the IP address resolution request into an effective domain name cache data table; and sorting the IP addresses in the effective domain name cache data table according to a preset priority principle, and returning the sorted IP addresses to the application. Through the IPv6 address resolution method and device, the technical problems that in the prior art, when a DNS carries out IPv6 address resolution, a DNS cache server or a proxy gateway will respond abnormally, and the real-time performance and efficiency of service response are low are solved.

Embodiments of the present application disclose a parameter use method, device, equipment and medium, and relate to the technical field of automatic programming. The method is applied to a parameter user, and includes the following steps: in the process of executing a target operation, a parameter loading request is sent to a parameter cache server; a target parameter fed back by the parameter cache server according to the parameter loading request is acquired, and the target operation is continuously executed according to the target parameter; wherein the target parameter in the parameter cache server is loaded in a database server of a parameter provider. The above technical solution reduces the access pressure of the parameter user on the application program server and the database server of the parameter provider.

The invention discloses a server operating system management platform device and an application method thereof, and the server operating system management platform device comprises a front-end server, MQTT protocol middleware, a rear-end server, a database server and a cache server, the front-end server and the MQTT protocol middleware are exposed at the front end, respectively perform data interaction with the management server, and are respectively connected with the rear-end server; and the back-end server is connected with the database server and the cache server so as to realize management of the management server based on the database service support provided by the database server and the cache support provided by the cache server. The invention aims to solve the problem of centralized management of the large-scale server operating systems, realize batch management of the large-scale server operating systems and improve the operation and maintenance management efficiency.