136 results about "Logical partition" patented technology

The invention discloses a game theory improved model-based cloud computing node storage calculation training resource competition scheduling method. The method comprises the following steps of S1, constructing a global resource scheduling system; s2, carrying out initial division on the cloud computing nodes in each logic partition; s3, executing a local resource competition game model; s4, the global resource scheduling system collects a local resource competition result of each logic partition and residual available resources in each logic partition; s5, executing the global collaborative game model; s6, dynamically updating the resource state information of the cloud computing node; s7, the global resource scheduling system performs adaptive adjustment on resource demand strategies in the local game model and the global cooperative game model; and S8, the global resource scheduling system stores and analyzes past resource competition results and task execution conditions, and each cloud computing node updates a resource demand strategy according to the data. According to the invention, the problems of resource bottleneck and overload in the prior art are solved, and the resource utilization efficiency and the scheduling flexibility are greatly improved.

The invention relates to the field of electronic communication, and provides a multi-protocol dynamic switching method and system based on an FPGA. The method comprises the following steps: carrying out regional division on an FPGA chip through a layout planning tool to obtain a static logic region and a plurality of reconfigurable logic partitions; performing hanging processing on the current protocol module based on the protocol switching trigger signal, and writing running state data of the current protocol module into a state cache unit to obtain protocol context snapshot data; according to the target protocol type, bit stream loading is carried out on the corresponding reconfigurable logic partition through configuration of an access port, and a reconfiguration protocol module is obtained; and reading protocol context snapshot data, and performing state recovery on the reconstruction protocol module to obtain a target protocol data path. According to the invention, rapid protocol switching is realized, the utilization rate of hardware resources is improved, and the system deployment cost is reduced.

The invention relates to a self-adaptive partition circulation storage method and device suitable for a flash memory, and the method comprises the steps: obtaining an equipment parameter set and partition rule information of flash memory equipment, carrying out logic partition division on the equipment parameter set based on the partition rule information, and obtaining corresponding initial partition configuration information; obtaining a type identifier of the write-in data and cache mapping data, and carrying out association processing on the type identifier and the cache mapping data to obtain a corresponding target storage partition; performing storage planning analysis on the target storage partition and the target write-in block position according to a preset one-time programming perception data distribution algorithm to obtain a corresponding initial partition adjustment scheme; and performing comprehensive processing on the initial partition adjustment scheme and the dynamic partition information according to a preset Dynamic-FTL algorithm to obtain a corresponding global storage optimization strategy. According to the invention, the storage management strategy can be flexibly adjusted according to the characteristics and demand changes of different data.

The invention provides a multi-user key management method and a network data transmission method and device based on a DPU (Data Processing Unit), a hardware trust root is configured based on the DPU, a storage root key is generated, a multi-layer key management architecture of the root key, a user master key and a working key is adopted, secure storage and hierarchical calling of keys are realized, and the security of the keys is improved. The encryption and decryption operation follows a strict key hierarchy process; a unique identifier is allocated to each user, a logic partition is divided for each user in a storage medium, and an access control strategy is set, so that physical and logic isolation of a key of each user is realized, and independence and security of user data are ensured. Furthermore, in combination with the LSTM network, the key use mode is analyzed, the optimal key rotation time is predicted, the updating period is automatically adjusted, and the intelligence and automation level of key management is improved.

The invention provides a data cache optimization method, device and equipment for a vehicle-specification MCU and a storage medium, and the method comprises the steps: building a multi-target cache decision through predicting the future data access probability distribution, and giving consideration to the real-time performance and the memory utilization rate. A cache is divided into logic partitions with different priorities, and the sizes of the partitions are dynamically adjusted, so that a self-adaptive cache layout is formed. In combination with access probability distribution and a partitioning strategy, a dynamic pre-fetching threshold value is set, data pre-fetching is executed, and elimination and updating are performed in a task execution period, so that the caching efficiency and stability of a vehicle gauge MCU in a high-temperature and strong-vibration environment are improved, and the method is suitable for a vehicle-mounted control system with strict requirements on safety and performance.

The invention relates to a customer service scene-oriented collaboration system and method, and belongs to the technical field of artificial intelligence. In the system, a shared memory storage center stores knowledge entries from a plurality of customer service agents in a predefined data structure; the shared memory storage center is provided with an access control mechanism associated with a visible domain identifier, and an access range is limited during retrieval through a logic partition; the memory management module receives candidate knowledge entries from each customer service agent based on a trigger event, determines visible domain identifiers for the candidate knowledge entries, associates the candidate knowledge entries with the visible domain identifiers, and stores the associated candidate knowledge entries and the visible domain identifiers in the shared memory storage center; the problem processing and decision-making module responds to an access request from any customer service agent and determines a corresponding visible domain identifier according to the identifier of the customer service agent; and executing access based on the visible domain identification and the input question, and retrieving knowledge entries with access from a shared memory storage center to realize cross-agent multiplexing.

The invention relates to the technical field of smart home, and discloses a gateway configuration method, system and equipment, and the method comprises the steps: obtaining a gateway connection request from the equipment, and transmitting the identification information and load information of a physical gateway to the equipment; if an access request of the equipment is received, whether the equipment is legal is verified, if the equipment is legal, a target virtual gateway corresponding to the equipment is determined based on the position information, contained in the access request, of a logic partition where the equipment is located, and an access success reply is sent to the equipment based on a physical gateway, and the physical gateway is configured to bear a plurality of virtual gateways; and performing logical partitioning of the virtual gateway based on the software defined network. According to the invention, cooperative work and reliable disaster recovery of multiple gateways in the smart home system are realized, and a flexible, efficient and reliable solution is provided for smart home application in scenes of multi-floor villas and the like.

The invention discloses a global integral right and interest intelligent matching system and method based on a digital identity atlas, and relates to the technical field of integral application. Comprising a digital identity construction module used for collecting data, forming a digital identity map, dividing a user node set into logic partitions according to a source domain, and generating a partition envelope boundary in each logic partition; the joint positioning module is used for extracting cross-domain nodes existing in different logic partitions, generating joint positioning identifiers and labeling the joint positioning identifiers in edge connection of the digital identity atlas; the multi-stage collaboration module is used for calling a joint positioning identifier, performing linkage adjustment on partition envelope boundaries in the logic partitions to form multi-stage envelopes, performing collaboration matching on integrals inside and outside the logic partitions according to an integral track of a user, and outputting a matching result; the evolution tracing module is used for writing the matching result into the digital identity atlas and correspondingly updating the evolution chain of the multi-level envelope; and establishing a retrospective index of the integral through an evolution chain.

The invention relates to a key value caching system based on a partition namespace solid state disk. The system comprises an object and metadata insertion module, an object searching module and an object expelling module. The key value is mapped to the offset in the logic partition through a hash function, and efficient search is realized by using a page-level bloom filter; object write-in data and a first metadata buffer area are written into a disk in batches by adopting a log structure to form a first-in first-out logic partition chain; caching the hot object metadata by the system, and performing classified management on the object according to the access frequency: loading the object metadata of which the access frequency exceeds a first preset frequency after unloading, and dynamically loading the object metadata of which the access frequency is lower than a second preset frequency after unloading; in the eviction process, in combination with the second metadata buffer area and the real-time access condition, high-frequency access objects are selectively recycled. Through Hash mapping, the page-level Bloom filter and the object management based on the access frequency, the performance and efficiency of the key value caching system are improved.

The invention provides a data copy storage method and device of a distributed system, an access method and device of the distributed system, electronic equipment, a computer readable storage medium and a computer program product, and relates to the technical field of information processing, in particular to the technical field of artificial intelligence such as distributed storage. The storage method comprises the following steps: determining a weight value of a physical node based on state information of the physical node in the distributed system, wherein the state information comprises load information of the physical node; based on the weight values of the physical nodes, combining the physical nodes belonging to different logic partitions in the distributed system into an arrangement group; and storing the plurality of fragments of the data copy in the physical nodes of the same collating group. According to the method, the data recovery speed of the system is improved while the security of the data copy is ensured, the load balancing capacity of the system is optimized, and the overall storage cost of the system is reduced.

The invention discloses a metadata management method and device, electronic equipment and a storage medium, and relates to the technical field of data storage, and the method comprises the steps: receiving a metadata operation request sent by a client, determining a target logic partition based on a mapping relation between an identifier and the logic partition, and determining a target physical sub-book group through a mapping relationship between the logic partition and the physical sub-book group, and selecting a target storage node to process the metadata operation request based on the storage node state information in the target physical sub-book group. According to the method, the most suitable storage node can be intelligently determined to execute the metadata operation by introducing a mapping mechanism between the identifier and the logic partition as well as between the logic partition and the physical sub-book group and combining the state information of the storage node; the problems that in traditional metadata management, a single server becomes a performance bottleneck and data searching and maintaining efficiency is low are solved, and the technical effects of improving system performance, improving data processing efficiency and enhancing system reliability are achieved.

The invention provides a processor testing method and device, a medium and a program product, and can be applied to the technical field of computers. The processor test method comprises the following steps: in response to a test instruction for a processor, generating a plurality of load states for simulating the load fluctuation of the processor; for each load state, inputting the acquired performance data of the processor and the load state into a parameter configuration model, and outputting a test parameter adaptive to the load state; according to the task processing type of the test parameter, distributing a test case constructed based on the test parameter to a matched logic partition in a processor for execution; and determining a test result of the processor in the load state by analyzing test data generated in the execution process.

The invention discloses a computing power service data set storage method, which relates to electric digital data processing, and comprises the following steps: classifying data to be stored, and extracting specific characteristics of each data item; determining a data writing sequence, and executing data writing operation according to the sequence; independently calculating a hash value for each data item after data writing is completed, and transmitting each data item and the corresponding hash value to a predetermined number of storage nodes for data consistency verification; monitoring the access information of each storage node in real time, dividing logic partitions, and scheduling the data access request according to the load condition of each storage node; and data categories are divided according to the data access frequency and the data timeliness, and data caching operation is executed on the data. According to the method, the limitation of a traditional static scheduling and hierarchical management method is broken through, intelligentization, refinement and self-adaption of data storage and access management are realized, and the resource utilization rate and the response speed of a computing power service data set storage system are improved.

The invention discloses a system and method for improving indoor positioning precision through an AI large model, and relates to the technical field of wireless communication. The method comprises the following steps of collecting multi-source signal historical data, and performing data division on the preprocessed multi-source signal historical data for making preparations for AI model training; dividing a target indoor space into a plurality of logic partitions, numbering each logic partition and establishing a coordinate mapping relation; continuously collecting corresponding key indexes in each logic partition, and generating an environmental change index ECD according to the key indexes; the technical key points are as follows: a multi-layer model architecture technical scheme is adopted, a mode of combining basic positioning service and accurate positioning in a complex environment is realized, the service quality of most areas is ensured, a positioning result with higher precision can be provided when necessary, the effect of optimizing the resource utilization efficiency is achieved, and the positioning accuracy is improved. The problem that a traditional single model is poor in performance in a complex environment is solved.

The invention belongs to the technical field of logistics management, and particularly provides a cargo sorting management method and system based on the Internet of Things, a terminal and a storage medium, and the method comprises the steps: after receiving a cargo sorting order, judging a logic partition to which a to-be-sorted cargo in the cargo sorting order belongs according to the cargo sorting order; by intelligently judging the logic partition to which the goods belong and comprehensively considering the relative distance between the current workload of the picker and the storage position of the goods, the accurate distribution of the sorting task is realized. The dynamic and flexible allocation mechanism ensures that the tasks can be quickly and reasonably allocated to the most appropriate sorting personnel, so that the sorting efficiency is remarkably improved.

The invention provides an electronic canvas processing method and device and display equipment, relates to the technical field of computers, and is used for realizing infinite extension of an electronic canvas and improving the convenience of content creation of a user. The method comprises the steps that a plurality of logic partitions are created based on a canvas area displayed on a display screen, areas corresponding to the logic partitions and the canvas area form an extended canvas, and first graphic objects in the logic partitions and second graphic objects in the canvas area form graphic content of the extended canvas; rendering a graphic object in the graphic content, and displaying the second graphic object in the display screen after rendering is completed; in response to canvas translation operation input by a user, determining a target graphic object to be displayed in the display screen in the graphic content; and rendering the target graphic object, and controlling the display screen to display the rendered target graphic object.

An apparatus to facilitate graphics data processing trust using multiple roots of trust and runtime attestation is disclosed. The apparatus includes a graphics processor to: collect, using a hardware root-of-trust (RoT), first measurements from a physical partition manager (PPM); generate, using the first measurements, a PPM compound device identifier (CDI) to securely bind to the PPM; collect, using the PPM, second measurements from a logical partition manager (LPM); generate, using the second measurements and the PPM CDI, a LPM CDI to securely bind to the LPM; collect, using the LPM, third measurements from a graphics tenant partition of the graphics processor, the graphics tenant partition comprises a confidential compute (CC) environment to run a workload of a host tenant partition; and generate, using the third measurements and the LPM CDI, a GPUN-TDn CDI for the graphics tenant partition to be securely bound to the graphics tenant partition.

Techniques for processor management are disclosed. One or more processors are accessed. The one or more processors include one or more logical partitions. A processor from the one or more processors executes one or more instructions out of order. The processor detects a deadlock condition. The deadlock condition prevents the one or more instructions from completing. The deadlock condition occurs in a logical partition within the one or more logical partitions. A parallelism of execution in the logical partition is reduced. The reducing allows the one or more instructions to complete. The reducing is based on one or more control bits. Cessation of the deadlock condition is recognized. The parallelism of execution in the logical partition is restored. The restoring is based on the one or more control bits. The one or more instructions execute on one or more threads running on the processor.

The application discloses a warehouse partition storage management method based on warehousing product data and relates to the technical field of warehouse management.The application first divides the warehouse into three virtual functional areas according to a virtual partition ratio, binds virtual attribute parameters to storage locations in each virtual functional area, then extracts product turnover attribute data to be warehoused, matches a corresponding target functional area by means of an intelligent model, and finally sorts product sequences in the target functional area according to warehousing time, and sequentially completes target location allocation.The application discards the traditional fixed physical partition mode, realizes dynamic division of logical partitions without changing the hardware layout of the warehouse, combines location turnover scoring to complete partition classification, matches high turnover goods with the storage location with the highest operation efficiency, relies on an artificial intelligence model to analyze product turnover data to replace artificial experience to determine partition attribution, greatly improves matching accuracy, and allocates locations based on warehousing time to fully utilize idle locations released after delivery and revitalize warehouse resources.

The present invention discloses a method for storing a computing power service data set, which relates to electrical digital data processing and includes classifying the data to be stored and extracting specific features of each data item; determining the data writing order and performing data writing operations in accordance with the order; calculating a hash value for each data item separately after the data writing is completed, and transmitting each data item and its corresponding hash value to a predetermined number of storage nodes for data consistency verification; monitoring the access information of each storage node in real time, dividing logical partitions, and performing scheduling on data access requests according to the load conditions of each storage node; dividing data categories according to data access frequency and data timeliness, and performing data caching operations on the data. This method breaks through the limitations of traditional static scheduling and hierarchical management methods, realizes the intelligence, refinement, and adaptability of data storage and access management, and improves the resource utilization rate and response speed of the computing power service data set storage system.

The invention relates to the technical field of solid state disks, and discloses a data downswiping management method and device, equipment and a storage medium. The data downwriting management method comprises the following steps: receiving a write request of a logic partition supporting random writing; applying for a data buffer area and a cache basic management unit; receiving write request data corresponding to the write request, and writing the write request data into the data buffer area based on the cache basic management unit; judging whether the write request triggers implicit lower refreshing or not; if the implicit down-brushing is triggered, writing the write request data information in the down-brushing range in the pre-down-brushing area into the down-brushing area according to the size sequence of the logic block addresses; and if the implicit down-brushing is not triggered, writing the write request data information into the pre-down-brushing area. According to the method and the device, the write request of the ZRWA region can be quickly responded, so that the random write performance of the ZRWA region is equivalent to the sequential write performance of the ZNS, and the write performance of the ZRWA region is prevented from being reduced.

The invention discloses a method for testing NAND link reliability of a solid state disk, and belongs to the technical field of solid state disks. Comprising the steps that S1, an SSD master control sends a write command sequence to an NAND particle, and verification data is written into a cache unit; s2, the SSD master control polls the minimum encapsulated physical entities and the internal logic partitions of the NAND particles, sends a read command sequence, and switches data in a cache unit to a readable state; s3, the SSD master control sends a data reading time sequence, the data in the target cache unit is compared with the original test data, and if the data are inconsistent, it is judged that the link of the minimum capsulable physical entity and the link of the internal logic partition corresponding to the target cache unit are abnormal. According to the invention, the read-write test is directly carried out on the NAND cache unit, so that the interference of the inherent data jump of the Flash Array on the test result is effectively avoided.

A key value store is maintained at a destination and includes pages of a B+ tree holding filing metadata of first and second files belonging to a logical partition of a filesystem. The pages are associated with KVS keys, each KVS key including a logical partition id, snapshot id, and page number. The snapshot id corresponds to a current snapshot id at a time the pages were written to the KVS. A clone is created at the destination. The parent is assigned a first logical partition id, clone child is assigned a second logical partition id, and current snapshot id is incremented. The destination receives changes to the first and second files. As soon as updates are applied to one of the first or second files, the updated file is scanned for viruses while updates continue to be applied to another of the first or second files.

This application relates to a logical Java Card runtime environment. Techniques are disclosed for generating a message stream configured to indicate the source of various messages within the message stream. In particular, an indicator identifies at which interface of a terminal (e.g., of a mobile handset) a message was received. The terminal receives messages on various interfaces and separates messages received via different interfaces within the message stream with interface switch indicators. In one embodiment, a smart card receives a message stream that includes a set of messages and interface switch indicators therein. The smart card delivers messages from the message stream to a single logical partition of the smart card until an interface switch indicator is identified in the message stream. From that point on, the smart card delivers messages from the message stream to a different logical partition of the smart card until another interface switch indicator is identified in the message stream.

A method, according to one embodiment, includes obtaining information generated by a hypervisor, where the generated information details a classification process. The classification process includes classifying physical memory blocks as residing on a first server or a second server, and associating the physical memory blocks with logical memory blocks of logical partitions of the first server and logical partitions of the second server. The method further includes providing the generated information to an operating system used to manage the logical partitions of the first server and the logical partitions of the second server. The operating system is caused to use the information to classify memory pools to a home memory cluster of the first server or to a remote memory cluster of the second server, and memory pages are caused to be dynamically stored within allocations of the memory pools based on predetermined usage statistics.

The present invention provides a data processing method and apparatus. The data processing method includes: determining a partitioning rule corresponding to an incremental data table according to a set computing parallelism and a partitioning field selected from the incremental data tables participating in the computation, where the partitioning rule is used to indicate the number of logical partitions set for the incremental data table and the incremental data divided into each logical partition; reading the incremental data in the incremental data table into the corresponding set logical partitions in a distributed manner according to the partitioning rule; reading the latest historical data associated with the incremental data in each logical partition from the stock data of each user in the database in a distributed manner; and performing a computation on the latest historical data associated with the incremental data in each logical partition and the incremental data in each logical partition. Without changing the database storage mode, the present invention can achieve distributed reading, writing and computing of data, has high data processing efficiency, and can meet the high timeliness requirements of data processing.

A computer-implemented method, according to one embodiment, includes mapping hosts in communication with a storage system to compartment constructs that are logical partitions of the storage system, analyzing interoperability of the hosts and the compartment constructs and defining, based on the analysis, risk profiles for applications run on the hosts. Ownership of storage objects to the compartment constructs is assigned based on the risk profiles, where each of the storage objects define a logical partition of one of the hosts and a logical partition of a storage volume of the storage system.

The present specification provides a database system, a computer program product, an electronic device, and a storage medium, the database system comprising: a logic layer for recording a logic structure of data in the database system, the logic structure comprising a plurality of data partitions; the Tablet object layer comprises a plurality of Tablet objects distributed in a plurality of database instances; the Tablet information layer is used for recording meta information of Tablet objects in the Tablet object layer, and the meta information comprises physical positions of the Tablet objects in the database instances and data partitions corresponding to the Tablet objects; wherein the data in the data partition is stored in the Tablet object corresponding to the logic partition.

A database with virtual partitioning. A computer system used to implement the database receives a request for a database operation to be performed on data stored in a portion of the database, where the data has a group of logical partitions (e.g., tenants of a multi-tenant database), and where the portion of the database is not further physically partitioned. The computer system identifies a virtual partitioning scheme for the database operation, the virtual partitioning scheme defining sub-groups of the group of logical partitions. The computer system then performs the database operation for the sub-groups defined by the virtual partitioning scheme. Multiple virtual partitioning schemes can be active at the same time, and virtual partitioning schemes can be created dynamically in some instances.