2829 results about "Data buffer" patented technology

The invention discloses an optical fiber data storage management system and method based on big data, and relates to the technical field of storage management. According to the optical fiber data storage management system and method based on big data, the spatial-temporal characteristics of the historical access records are extracted through the LSTM network, the data heat value is calculated in combination with the time decay function, and the thermal distribution diagram of the data blocks is generated. And based on the thermal distribution map, constructing a storage resource allocation model by using a deep reinforcement learning algorithm, and dynamically adjusting the optical path priority and copy distribution. A data prefetching strategy is optimized through the spatio-temporal joint index and the vector similarity index, and a high-frequency data cache index distribution diagram is generated. And comprehensively considering the data access delay, the index hit rate and the copy migration frequency, obtaining an optical fiber storage efficiency index, and adjusting a storage strategy according to the index. According to the method, the dynamic scheduling and utilization efficiency of data storage resources is effectively improved, the data access delay is reduced, the copy management is optimized, and the overall performance of a storage system is remarkably improved.

The invention provides a multilevel caching method and system based on CAN bus communication, and is applied to the field of data transmission. According to the method, the influence coefficient of the CAN bus is obtained by presetting load scenes (idle, low load and high load), whether the influence coefficient is limited by hardware is judged, the optimization direction is ensured to be accurate, data cache management is performed by adopting an annular buffer area, and the data transmission interval is dynamically adjusted and the data packaging strategy is optimized (small data merging, data alignment and filling byte reduction), so that the data transmission efficiency is improved. The CAN ID priority is dynamically adjusted by collecting communication data category information, it is ensured that high-priority data (such as ECU control signals) are transmitted in time, bandwidth occupation of low-priority data is reduced, in addition, the processing response speed of data frames is monitored, and if the processing response speed does not reach the standard, the data sending frequency is optimized, and the real-time performance is improved.

The invention discloses a method for automatically drawing an OpenGL (Open Graphics Library) program by using Vulkan. The method comprises the following steps of: creating a context used by the Vulkan, initializing each module, processing an OpenGL instruction related to texture and data buffering, and managing storage of texture and data buffering resources in a video memory; a shader program used by the OpenGL is preprocessed into a format acceptable to Vulkan, and an OpenGL shader program instruction is created and destroyed; processing an OpenGL (Open Graphics Library) instruction related to frame buffering to generate structural body information required by Vulkan dynamic rendering; an OpenGL instruction of the sampler is also created; processing an OpenGL (Open Graphics Library) instruction for creating a vertex input format and managing a vertex data buffer area, and maintaining vertex input information, a vertex buffer area and an index buffer area required by Vulkan; and finally, drawing or calculating, distributing and calling Vulkan on the basis of all the instructions.

The invention provides a wireless communication network method and system of a mobile first-aid station. The method comprises the following steps: monitoring and evaluating a surrounding environment in real time, selecting an optimal working frequency band, and adjusting a frequency band switching strategy to obtain a self-adaptive multi-frequency-band access mechanism; the bandwidth and the connection priority of the wireless communication network are dynamically adjusted, the task priority is evaluated, and a dynamic resource allocation strategy is generated; deploying a distributed cache and synchronization system, realizing balanced distribution and rapid positioning of data, and generating a distributed temporary data cache pool; establishing an intelligent routing algorithm of deep reinforcement learning, calculating an optimal transmission path from a source to a destination, and finally generating an intelligent routing planning scheme; a redundant path is preset on the path, and a redundant path planning scheme is generated according to a dynamic resource allocation strategy and an intelligent routing planning result. According to the technical scheme provided by the invention, the reliability and the response speed of the wireless communication network of the mobile first-aid station are improved.

The invention discloses a large model data distributed management method and device, equipment and a storage medium, and relates to the technical field of data processing, and the method comprises the steps: segmenting large model training data to obtain a plurality of data blocks, and determining a predicted access frequency based on a long short-term memory network model and the historical access frequency of the data blocks; caching the large model training data corresponding to the data block to a corresponding data cache layer by utilizing the predicted access frequency; constructing a resource portrait by using the static attribute and the dynamic index of the GPU node, and allocating the large model training task to a target GPU node by using a preset hybrid strategy and the resource portrait based on the predicted access frequency and the storage position corresponding to the data block in the data cache layer; when it is monitored that the large model training task on the target GPU node is executed, periodic snapshot is conducted on the large model training task through a distributed snapshot algorithm, and the obtained complete data state is stored in a distributed storage center. And the resource vacancy rate is reduced.

The invention relates to the technical field of big data processing, and provides a mass data storage optimization method which comprises the following steps: analyzing target data according to access frequency and / or access time of the data, and dividing the target data into hot data, warm data and cold data; aiming at the hot data, the temperature data and the cold data, performing compression processing by adopting corresponding compression algorithms; before the target data is stored, performing duplicate removal on the target data according to the fingerprint of the target data; monitoring the use condition of the memory, the access frequency of the target data and the performance of the compression algorithm in real time, and deploying system resources according to a monitoring result; and setting a multi-level cache, and caching different types of target data to the multi-level cache according to the divided types of the target data. According to the technical scheme, mass data can be efficiently stored and rapidly accessed, and the storage space utilization rate and the overall system performance are remarkably improved.

An intelligent power monitoring management system based on Internet of Things belongs to the technical field of power supervision and comprises a data acquisition module, a communication transmission module, a data processing and analysis module, an edge calculation module, an intelligent control module, an early warning management module and an authority control module. According to the invention, by deploying various types of sensors, real-time acquisition and dynamic monitoring of key parameters of the power system are realized. The system can obtain and analyze data such as voltage, current and power in time, ensures the accuracy and high efficiency of operation of the power system, and effectively avoids energy consumption waste and equipment faults. The edge computing technology is adopted, preprocessing and preliminary analysis are carried out at a data acquisition end, the data processing pressure of a central server is relieved, the bandwidth requirement for data transmission is lowered, and the response speed is increased. Even if the network is interrupted, the edge device can realize short-term data caching, and data continuity is guaranteed. And performing anomaly detection on the power system, identifying potential risks and giving an alarm.

The invention relates to the technical field of geographic information systems, in particular to a map tile data efficient access method and system based on hybrid storage and intelligent layering, and the method comprises the following steps: constructing a multi-level storage architecture, carrying out dynamic heat analysis, carrying out intelligent layering scheduling, preloading and space prediction, and carrying out transmission and access optimization. The method has the beneficial effects that the multi-level storage pool is constructed by combining the advantages of object storage and a distributed file system; adopting a dynamic tile popularity analysis model to realize hot data cache acceleration and cold data hierarchical archiving; and meanwhile, a tile request preloading mechanism is introduced, and an access path is optimized in combination with a spatial locality prediction algorithm. According to the method, the storage cost can be remarkably reduced, the tile request delay is reduced, quick response in a high-concurrency scene is supported, and the method is suitable for application scenes such as Internet map services and smart cities.

The invention provides an edge node scheduling method and system based on a sinking distributed network. The method comprises the following steps: determining a scheduling strategy of an edge node based on a preset load balancing algorithm; receiving a service request from the terminal equipment; identifying a proper service node based on the data type of the service request; distributing the service node to process the service request; and adjusting the scheduling strategy based on the real-time monitored data feedback. Through the scheme of the embodiment of the invention, the problem of data consistency caused by insufficient data synchronization mechanism under the condition of high concurrent requests can be solved. And the problem of communication delay increase caused by lack of an adaptive routing protocol under the condition of dynamically changing network topology is solved. And the problem of computing resource waste caused by an unreasonable task allocation strategy under the condition of resource-limited edge nodes is solved. And under the condition of data intensive application, the problem of data processing bottleneck caused by an imperfect data caching mechanism is solved.

The invention discloses a self-adaptive data caching and synchronizing method, system and device for an edge gateway of the Internet of Things and a storage medium, and the method comprises the steps: obtaining network quality parameters, such as link bandwidth, time delay and packet loss rate, between nodes, detecting and solving instruction conflicts based on a vector clock mechanism, generating an instruction execution sequence, and carrying out the self-adaptive data caching and synchronizing of the edge gateway of the Internet of Things; local caching and incremental synchronization strategies are adopted for hotspot data, a data access mode is dynamically predicted in combination with a machine learning algorithm, and a cache updating period is optimized. The future data is predicted according to the data characteristics of the Internet of Things application, and the data cache updating period of each node is dynamically adjusted, so that each node can keep a relatively consistent updating rhythm when caching a hotspot data copy; therefore, the hot spot data copies of different nodes can be ensured to have similar accuracy and timeliness at the same time point, so that the data consistency is maintained.

The invention discloses a computer network security monitoring system and method. The system comprises a quantum encryption traffic acquisition module, a biological recognition feature extraction module, a block chain detection traceability analysis module and a visual management module. The quantum encryption flow collection module generates and distributes a secure quantum key through a quantum key distribution unit, encrypts a collected data packet through an encryption transmission unit, and generates a flow data segment through a flow collection subunit and a data cache statistical analysis subunit. The biological recognition feature extraction module verifies the identity of a user through a biological recognition unit, and extracts a multi-dimensional feature vector by using a feature extraction subunit. And the block chain detection traceability analysis module performs detection and traceability analysis on the abnormal traffic through the anomaly detection subunit and the traceability analysis subunit, and stores a result in the block chain storage unit. The visual management module provides visual network state display and user identity verification functions through a visual display subunit and an identity verification and access control subunit. According to the invention, quantum encryption, biological recognition and block chain technologies are combined, so that the accuracy, security and traceability of network security monitoring are improved.

The invention relates to the technical field of data transmission, and provides a data transmission method and device, electronic equipment, a storage medium and a program product.The method comprises the steps that resources needed by RDMA are initialized, and the initialization process comprises the steps of creating a registration memory of the RDMA and creating a plurality of work queue pairs according to different data transmission logics of a target data packet to be transmitted, each work queue pair corresponds to one data transmission logic; dividing a data buffer area in the registered memory into memory blocks with preset sizes; writing the to-be-transmitted target data packet into a data buffer area by taking a memory block as a unit; and selecting the corresponding target working queue based on the data transmission logic of the to-be-transmitted target data packet, and sending the to-be-transmitted target data packet in the data buffer area to an opposite end, or receiving data of the opposite end to the data buffer area. According to different data transmission logics, different working queues are selected to complete operation on the logic channels serving as data transmission, multiple pieces of data are transmitted in parallel, and transmission delay is reduced.

The invention provides a switching station control method and system of a subway station. The system comprises a subsystem control unit, a main control unit, a communication module and a data caching module, the subsystem control unit transmits an equipment on-off state, a fault signal and an environment parameter to the main control unit in a hybrid networking mode, and a first cooperative control instruction set is generated in combination with a linkage rule base; a target priority is distributed for the operation instruction to obtain a second cooperative control instruction set, and the communication module adopts a multi-channel parallel distribution mechanism for pushing; in the process of executing the switching station operation, the data caching module stores running state data, identifies a time sequence mode by using a machine learning model, pre-judges a switching station linkage scene and loads a control strategy; and the main control unit detects the response delay of the subsystem control unit and generates a third cooperative control instruction set according to the control strategy so as to optimize the switching station control time sequence. According to the invention, intelligent cooperative control of multiple electromechanical devices can be realized.

The invention discloses an equipment temperature adjusting method fusing a long short-term memory network, and particularly relates to the technical field of temperature control, which comprises the following steps: determining the deployment position of a sensor through thermal simulation, collecting multi-source heterogeneous data, dynamically adjusting the sampling frequency in combination with the temperature and the load current change rate, and adjusting the temperature of the sensor; after data preprocessing, an attention mechanism enhanced LSTM prediction model is constructed, a time sequence sample data set is divided according to equipment thermal response characteristics, training is carried out, and an optimal model is obtained through early stop mechanism optimization; predictive feedback double-closed-loop regulation and control is achieved based on the optimal model, outer loop PI control is combined with an integral separation mechanism to generate a basic control quantity, an inner loop outputs a correction quantity through fuzzification, reasoning and defuzzification, an actuator is driven after superposition, and safety linkage is triggered synchronously; constructing an incremental data buffer pool to screen effective samples, and adaptively updating model parameters by adopting a layered fine tuning strategy; the temperature regulation and control precision and the long-term self-adaptive capability are obviously improved, and the over-temperature risk of equipment is reduced.

The invention provides a distribution network monitoring heterogeneous converged communication self-switching device and a distribution network monitoring heterogeneous converged communication self-switching method. The system comprises a communication module unit, a data processing unit and a switching execution unit. In the data processing unit, an environment sensing unit receives state data of the communication module unit, and a PICO unit processes link state data and uploads the link state data to an MCU unit for processing; the data encryption unit is used for encrypting and decrypting transmission data; the data caching unit is used for storing data transmitted during communication abnormity or switching and reissuing the data after communication recovery; and the MCU processing unit executes a link switching strategy according to the data processed by the PICO unit, and controls the switching execution unit to switch when detecting that the quality of the current main communication link is reduced to be below a preset threshold value. According to the invention, automatic and rapid switching in different network environments is realized, and the transmission stability and efficiency of the monitoring data of the power distribution network are remarkably improved.

The invention discloses a solid state disk data processing method and device, a storage medium and a program product, and relates to the field of electrical digital data processing.The method comprises the steps that a network data transmission request is obtained, a network bandwidth state corresponding to the network data transmission request is detected, and bandwidth state parameters are generated according to the network bandwidth state; calculating a data transmission time consumption predicted value, and determining a buffer capacity threshold according to the data transmission time consumption predicted value; adjusting the capacity of the data buffer area according to the buffer area capacity threshold, and adjusting the data buffer area; monitoring the data occupancy rate of the adjusted data buffer area, and when the data occupancy rate is lower than a preset occupancy rate threshold value, calculating an idle time window of the target solid state disk according to the network bandwidth state; determining a target power consumption mode of the target solid state disk according to the duration of the idle time window; and controlling the target solid state disk to enter the target power consumption mode in the idle time window. By implementing the application, the energy consumption of the solid state disk can be reduced.

The invention discloses a cache processing method of heterogeneous equipment, a heterogeneous system, a product, a device and a medium, and relates to the technical field of data storage. And according to the target virtual address access times corresponding to each device in the heterogeneous system, realizing a global data caching mechanism. And determining a file page corresponding to the target heterogeneous device based on the target virtual address access frequency, so that the file system layer has the capability of managing the memory cache of the heterogeneous device. And the predicted file page of the target heterogeneous device is verified, and the file page is moved under the condition that the verification is passed, so that the distribution accuracy of the target heterogeneous device is improved. The file page of the target heterogeneous device is mapped and moved to the memory of the host side, the target heterogeneous device does not need to be accessed, the file page stored in the memory of the processor is directly accessed, the increased access rate of the processor accessing the target heterogeneous device is avoided, the delay of accessing the memory of the target heterogeneous device is reduced, and the access efficiency is improved. And the data transmission rate and the system efficiency of the heterogeneous system are improved.

The invention relates to the technical field of intelligent power supplies, in particular to an intelligent power supply for an unattended station. Comprising a multi-source power supply scheduling unit; an intelligent energy storage management unit; a double-link communication unit; the double-link communication unit is used for constructing a multi-redundancy communication link of wired, wireless and power line carriers, and the double-link communication unit is based on link quality data, adopts an automatic switching strategy to guarantee data transmission continuity, preprocesses monitoring data by using an edge side data clustering algorithm, and realizes offline data caching and transmission flow optimization. Through a multi-source energy dynamic scheduling strategy, according to photovoltaic real-time output, commercial power time-of-use electricity price and load electricity demand, power supply paths of photovoltaic, commercial power and a storage battery can be dynamically optimized, the consumption proportion of clean energy is improved, the dependency degree of high-cost commercial power is reduced, a complex energy structure of photovoltaic, commercial power and storage battery multi-energy complementation is effectively adapted, and the energy utilization rate is improved. And power supply flexibility is enhanced.

The invention belongs to the technical field of data caching and batch synchronization, and discloses a management system data caching and batch synchronization method and system.The method comprises the steps that caching processing is conducted on pre-obtained data through a caching strategy based on a pre-constructed caching architecture, operation data are extracted through the cached data, and the operation data are stored in a database; carrying out local operation processing and operation type judgment by combining a transaction engine and an operation classifier; acquiring storage state data of the cache architecture in real time, performing synchronization strategy optimization on a preset synchronization strategy by using a decision tree algorithm, and performing batch synchronization processing in combination with a chained version number mechanism; and acquiring operation state data of the cache architecture, constructing a cache performance index system by using the operation state data, and performing data storage alarm processing by combining an autoregression integral moving average model and an association rule. According to the method, the high-frequency operation response speed is obviously optimized, the load of a back-end server is effectively reduced, and efficient utilization of hardware resources is realized.

The invention provides a fusing processing method and device, electronic equipment and a storage medium, and relates to the technical field of computers. The method comprises the steps of performing current limiting on a system request based on a filter to obtain a target request; determining whether to trigger the fusing condition of the target service based on the real-time operation data of the target service corresponding to the target request and the fusing judgment rule; in response to the fact that the target service is the first service and a fusing condition of the first service is triggered, performing fusing operation on the first service; the first service is used for message transmission; in response to the fact that the target service is the second service and a fusing condition of the second service is triggered, performing degradation operation on the second service; the second service is used for data caching, and the type of the degradation operation is determined based on the dependency of the target request on the second service. According to the invention, intelligent degradation fusing processing can be realized, so that system overload and single-point fault diffusion can be effectively prevented.

The invention provides a cache architecture and method of an AXI interconnection module, electronic equipment and a storage medium, and relates to the technical field of storage, the cache architecture comprises an index cache region, a shared cache region and a shared cache access controller, the index cache region comprises an index entry list, and the shared cache region comprises an instruction cache region and a data cache region; each index cache region corresponds to one main device, the shared cache region corresponds to all the main devices, and the index entry list is used for recording index information of access transactions of the corresponding main devices; each index entry in the index entry list corresponds to one access transaction; and the shared cache access controller is used for storing instruction information corresponding to the access transaction in the instruction cache region based on the index information and storing data information corresponding to the access transaction in the data cache region. By applying the scheme of the invention, the utilization efficiency of on-chip resources can be improved on the basis of ensuring the transaction processing performance.

The invention discloses a data processing method and system, electronic equipment, a storage medium and a computer program product, and relates to the technical field of large model technology and key value caching. The method comprises the following steps: acquiring a plurality of visual marks, a plurality of text marks and initial key value data corresponding to a visual language model; determining a key text mark in the plurality of text marks by utilizing the initial key value data; according to the initial key value data and the distribution positions of the key text marks in the multiple text marks, importance evaluation is conducted on the multiple visual marks, an evaluation result is obtained, and the evaluation result is used for representing cross-modal attention weight distribution between the multiple visual marks and the key text marks; and according to an evaluation result, performing cache compression processing on the initial key value data to obtain target key value data. According to the method and the device, the technical problem that the model reasoning efficiency is influenced due to high key value data caching overhead of a visual language model in related technologies is solved.

The present invention relates to a hardware acceleration method, device, equipment and medium. The method comprises: obtaining a read-write command issued by a host; parsing the read-write command to obtain a parsing command; judging whether the parsing command is a read command; if it is a read command, judging whether the parsing command is a sequential read command; if it is a sequential read command, applying for a buffer from a read cache management engine, and constructing a pre-read command, carrying a buffer address and an LBA address; according to the pre-read command, caching data in a read cache buffer; submitting the parsing command to the read cache management engine for processing; judging whether the parsing command hits the cache data of the current read cache buffer; if it hits, directly returning the corresponding data from the read cache buffer to the host, and marking the command completion. The present invention improves the pertinence and efficiency of processing, shortens the response time of commands and the transmission delay of data, and improves the overall performance of the system.

The invention discloses an SSD (Solid State Disk) cache management method, which relates to the technical field of SSDs, and comprises the following steps: step 1, cache space division: the cache space of the SSD is divided into a plurality of different types of sub-cache regions, and each sub-cache region at least comprises a hot data cache region, a cold data cache region and an intermediate data cache region; 2, data popularity monitoring: monitoring the access frequency of the data stored in the SSD in real time, judging the popularity level of the data according to the access frequency, judging the data with the access frequency higher than a set threshold as hot data, judging the data with the access frequency lower than another set threshold as cold data, and judging the data between the hot data and the cold data as intermediate data; 3, data cache allocation: according to the heat level of the data, storing hot data into a hot data cache region, storing cold data into a cold data cache region, and storing intermediate data into an intermediate data cache region; the cache utilization rate and the read-write performance are comprehensively improved, and the delay is reduced.

The invention relates to the field of equipment safety verification, in particular to a wifi router on-line upgrading safety verification method and a wifi router on-line upgrading safety verification system. A wifi router online upgrade security verification system comprises a firmware package construction module, a firmware package verification module and a guarantee activation module. According to the method, a firmware packet header protection logic closed loop is formed through an innovatively designed multi-order composite verification structural body and an anti-offset signature positioning framework; the system can detect the nanoscale tampering of an attacker to the length identification field in real time, cuts off the power supply of the flash memory controller and erases the data buffer area at the hardware fusing level response speed when verification fails, and compared with a traditional scheme, the response efficiency is improved.

The invention relates to the technical field of data processing, can be applied to business scenes such as financial science and technology and medical health, and discloses a popup strategy task processing method which comprises the following steps: defining a life cycle node of a popup queue in a task queue processing center, dividing a popup task into an independent execution thread task and a shared execution thread task according to priority, binding to life cycle nodes respectively; creating an exclusive policy execution assembly line in the independent execution thread, and creating an interruptible policy execution assembly line in the shared execution thread; a strategy execution state judgment node is arranged in the two strategy execution assembly lines, and a standby strategy execution assembly line is triggered when strategy execution is abnormal; and uniformly storing output data generated by the three policy execution assembly lines through a public data cache region. By setting the priority-based thread task binding mechanism and the strategy execution state judgment node, decoupling and exception handling automation of the pop-up window strategy execution process are realized, and the strategy maintenance cost is reduced.

The invention discloses a parallel processor dynamic resource allocation system and method based on reconfigurable hardware, and relates to the technical field of computer chips, and the system comprises a workload monitoring module which is responsible for monitoring the workload type and the resource demand of a task processed by a parallel processor in real time, and determining the task type and the resource demand by identifying the task type and the resource demand; a monitoring result is fed back to the resource allocation control module; the resource allocation control module is responsible for generating a corresponding resource allocation control signal based on feedback information of the workload monitoring module and dynamically configuring the reconfigurable hardware module; the reconfigurable hardware module is responsible for realizing efficient adaptation to diversified tasks through a plurality of reconfigurable units formed by programmable logic devices according to different working load dynamic reconfiguration functions and connection modes; and the data caching and transmission module is responsible for cross-module data circulation and global data storage. Different task requirements can be accurately adapted, and the resource utilization rate is improved.

The invention relates to the technical field of database cache management, in particular to an LSM engine data cache optimization method, which comprises the following steps of: based on cache region data of an LSM storage engine, recording access times of implementation detailed rules, counting distribution density of implementation detailed rules, arranging the data into a priority sequence, and generating an implementation detailed rule access distribution information set. According to the method, accurate mastering of the implementation detailed rule distribution density is achieved by recording the implementation detailed rule access times and distribution positions, the implementation detailed rule distribution density is grouped and sorted into the priority sequence, the cache data reading efficiency is improved, and the cache data reading efficiency is improved by adjusting and optimizing the data storage layout and reducing the high-frequency data retrieval delay. The method has the advantages that the problem of uneven storage allocation is solved, the resource utilization rate is increased, data distribution is optimized through high-frequency implementation rule comparison, new implementation rule matching is dynamically adjusted, the hit rate and the response speed are increased, the system load is reduced, and the storage performance and the resource allocation efficiency are remarkably improved.

The invention relates to the technical field of data cache management, in particular to a multilayer data cache dynamic management method and system, and the method comprises the following steps: based on a data access path, extracting a data access path hierarchy identifier, analyzing path hierarchy depth, recording access continuity, classifying the path to be stable or unstable, and obtaining path hierarchy distribution information. In the invention, through hierarchical analysis and stability classification of the data access paths, the cache resource allocation efficiency, the stable paths and the unstable paths are improved, the access delay is reduced, the access continuity is improved, the cache waste caused by hopping is reduced, the space utilization rate is improved, the cache pollution is avoided, the storage sequence is optimized, and the hit rate is improved; through dynamic elimination, resource competition is reduced, storage medium I / O load is monitored, medium load is balanced, throughput capacity is improved, data flow is optimized, cache coordination capacity is improved, cache levels can flexibly adapt to access mode changes, and data storage stability and load balance are enhanced.

The invention relates to the technical field of distributed storage, and discloses a data caching method, computer equipment, a storage medium and a program product, and the method comprises the following steps: obtaining a name of a to-be-read object and a to-be-read data range of the to-be-read object; judging whether a key value which is the same as the name of the to-be-read object exists in a preset hash data structure or not; if the preset Hash data structure does not exist in the to-be-read data range, reading corresponding data from the system main memory based on the to-be-read data range, returning the data to the client, and updating the preset Hash data structure and the window cache; judging whether the ratio of the used capacity of the window cache to the total capacity exceeds a first ratio threshold value or not; if so, acquiring a first eliminated cache object in the window cache; obtaining the access frequency of the first eliminated cache object, and screening out a target cache object of which the access frequency is greater than the access frequency of a tail cache object of a first linked list in the main cache from the first eliminated cache object; and caching the target cache object to a main cache. The service life of the solid state disk is prolonged.