7results about How to "Improve read performance" patented technology

The application provides a data caching method and device, equipment, medium and product, and relates to the technical fields of big data and artificial intelligence. The method comprises the following steps: obtaining a early warning task by a master node in a cluster, the early warning task being used for calculating data stored in a data table according to a pre-designed calculation rule to obtain an early warning cache value, the cluster comprising the master node and a slave node; performing calculation according to the early warning task to update the early warning cache value in the early warning task; and synchronizing the updated early warning task to the slave node, the slave node being used for receiving a reading request and returning the early warning cache value obtained from the early warning task of the slave node. When a user needs to obtain the early warning cache value, the user can send a reading request to the slave node, and the slave node returns the early warning cache value to the user. Since the early warning cache value is obtained in advance, the same reading request of the user can not be calculated every time, and frequent reading of data in the data table is avoided.

This invention relates to the field of storage system IO performance optimization technology, and provides a method and device for redirecting data aggregation, comprising: identifying random small IO data from written IO requests, aggregating and writing to backend storage objects, and constructing a storage mapping relationship in an index table; traversing backend storage objects storing random small IO data, and allocating data originating from the same logical address space to the same target backend storage object using a hash algorithm; sequentially writing the data allocated to the same target backend storage object into the contiguous physical space of the target backend storage object, and updating the mapping relationship in the index table; repeating steps S2 and S3 before reaching a preset termination trigger condition, using a different hash algorithm each time step S2 is repeated; when reading data, retrieving the storage mapping relationship from the index table, and aggregating the read requests corresponding to data located in the same backend storage object before reading them all at once.

A reading device for obtaining information of a specified product, the reading device of the embodiment includes a housing, an imaging section, and an illumination section. The housing includes a transparent reading window. The imaging section is built into the housing and images an image across the reading window. The illumination section illuminates an imaging object of the imaging section by surface emission toward the outside of the housing, is disposed outside the edge of the reading window, and is inclined to the reading window in a manner that protrudes from the reading window more on a side farther from the reading window.

The application discloses a hard disk garbage collection method and device. The method comprises the following steps: dividing a storage object to be collected into a plurality of fixed-size continuous intervals, determining the starting and ending intervals of the data to be migrated according to the offset and length of the data to be migrated; dividing a reading scene into three categories, i.e., a single-interval, a cross-double-interval and a cross-multiple-interval, based on the interval position relationship; in the single-interval scene, if the interval has been cached, the data is directly copied, otherwise, the complete interval data is read to the cache when the reading IOPS does not reach the upper limit; the same logic is executed for each interval in the cross-double-interval scene; in the cross-multiple-interval scene, the data is directly read and the IOPS concurrency is converted according to the actual length; and the effective data is migrated to a new storage object and the original object space is released. The application effectively reduces the number of hard disk reading requests, reduces the mechanical disk head addressing overhead, simultaneously reduces the IOPS flow control conflict by using cache hits, and significantly improves the garbage collection efficiency of the storage system and the stability of the cluster capacity.

The application belongs to the technical field of solid-state storage, and specifically discloses a solid-state disk fault-aware reading optimization and code length self-adaption method and device, which comprises the following steps: a fault-aware re-reading mechanism is constructed, a code word that fails to be decoded in a primary decoding round is marked, and only the marked failed code word is transmitted in a subsequent re-reading round; based on the fault-aware re-reading mechanism, the delay of hard-decision decoding and the delay of soft-decision decoding are analyzed and combined to obtain a fault-aware reading delay model; the fault-aware reading delay model comprises a default reading operation delay model and a soft-decision reading operation delay model; when reading data, a reading mode determination result is obtained based on the fault-aware reading delay model; when writing data, a target code length in the case of the shortest reading delay is obtained based on the fault-aware reading delay model; and the target code length is used to write data. Through the application, the reading performance of an SSD can be improved under the condition that the code rate remains unchanged.

The invention relates to the technical field of data storage, and provides a cold and hot hierarchical storage and SLC bypass management method based on a storage class memory SSD and a ZNS SSD, which comprises the following steps: step 1, system initialization and heterogeneous hierarchical mapping; 2, request receiving and read-write shunting are carried out; when an application layer initiates a key value operation request, the system firstly judges the type of the request: if the request is a write request, entering step 3; if yes, entering step 7; step 3, writing and solidifying data; 4, temperature judgment and SLC bypass judgment are carried out; step 5, overlap detection and target level judgment; step 6, executing heterogeneous medium writing; step 7, when a read request is processed, performing cascading search according to medium performance from high level to low level, and realizing read optimization of physical isolation; and step 8, ending: returning an operation result to the application layer. According to the invention, cold and hot hierarchical storage and SLC bypass management can be well carried out.

The application relates to the technical field of data processing, and discloses a data writing method, a flash memory device and a computer readable storage medium. The method comprises the following steps: acquiring file block data brushed by a host, wherein one file block data corresponds to one file block; identifying the file block data based on a machine learning model to determine the data type of each file block, wherein the data type of the file block is several types; determining several file blocks of the same data type according to the data type of each file block; and sequentially writing the several file blocks of the same data type into several dies, wherein the file blocks of the same data type and the dies sequentially correspond. The data type of each file block is identified through the machine learning model, and the file blocks of the same type are sequentially and cyclically distributed on the dies. The application can reduce die-level conflicts and improve the reading performance of the flash memory device.