37 results about "Storage resource management" patented technology

The invention discloses a storage resource management method and system and a storage medium, and relates to the technical field of storage resource management, and the method comprises the steps: calculating the access popularity and popularity threshold of data according to a historical log file, and carrying out the popularity layering of the data in the historical log file according to the two; the data distribution mapping table is generated based on the historical log file and the access popularity, and finally multiple storage resources are allocated based on the layered data and the data distribution mapping table, so that the problems that application scenes of related technologies are limited, and the performance of a storage system is difficult to flexibly deal with complex and changeable business environments are solved; the technical problem that smooth expansion and rapid iteration of a storage system cannot be achieved is solved, and the technical effects of dynamic allocation, efficient utilization, flexible configuration and safety protection of storage resources and capability of leisurely coping with various complex application scenes are achieved.

The invention provides a storage resource management method and system, and the system comprises a quota definition module which is used for determining the resource quota and management rules of each storage system according to the input of a user; the quota control module is used for receiving the data operation request and calling a storage system interface matched with the type of the data operation request to access the storage system; the synchronization module is used for calling the storage system interface to access the corresponding storage system so as to obtain the resource quota use condition of the storage system and reporting the resource quota use condition to the quota monitoring module; and the quota monitoring module is used for outputting resource quota management prompt information according to the resource quota use conditions and management rules of the object storage system and the file storage system. According to the storage resource management system provided by the invention, the quotas of object storage and file storage of one user can be uniformly managed.

The invention relates to the technical field of storage resource management, and particularly discloses a storage abnormity tracing method and system, and the method comprises the steps: obtaining the cargo information at a warehousing end in real time, and building a cargo label and a cargo feature based on the cargo information; creating a cache database with cargo labels as names, acquiring warehouse videos in real time based on a camera system, and positioning cargo areas in the warehouse videos based on cargo features; identifying a cargo area, determining cargo variation and workers in each time period, and inputting the cargo variation and workers into a cache database; receiving a traceability request which is input by a worker and contains a cargo label and a variable quantity, and performing traceability in the cache database; according to the method, the cargo state is acquired in real time through the camera in the warehouse, the cargo change amount and nearby workers are determined according to the cargo state, the nearby workers are regarded as cargo change reasons and set as responsible personnel, and when source tracing is needed, direct query can be carried out.

The invention provides a multi-type storage cluster dynamic nano-management method based on a cloud platform, and belongs to the technical field of cloud platform storage resource management, a storage pool is used as a minimum management unit, a configuration center provides a unified nano-management entrance and is associated with a platform initialization process, and initialization of standardized parameters such as a storage cluster IP, an account and the like is automatically completed; after management, block storage, file storage or object storage types and exclusive parameters thereof are configured for the storage pool according to business requirements, and available storage pools are screened according to binding relations when storage services are created, so that resource mismatching is avoided. Bidirectional synchronization is carried out between the operation and maintenance resource management module and the storage module through a full life cycle by using an equipment SN number, so that state consistency and traceability are realized; expansion of newly added storage pools, unbinding of the storage pools and resource recovery are supported, and the resource utilization rate and the operation and maintenance efficiency are improved.

The invention relates to the technical field of computer storage, and discloses an AI enabling storage resource dynamic allocation method and system, and the method comprises the steps: constructing a multi-level Markov decision model, and representing the storage resource management as a local and global state conversion and decision process; a multi-agent reinforcement learning framework is constructed and deployed in an interface layer and a scheduling layer to realize distributed intelligent decision making; a bidirectional information flow mechanism between the interface layer and the scheduling layer is realized, a hierarchical barrier is broken, and efficient transmission of information is realized; based on a multi-scale collaborative optimization algorithm, local autonomy and global consistency are fused, and a self-adaptive storage resource allocation strategy is dynamically generated. Through a multi-level autonomous cooperation mechanism, the technical bottlenecks of hierarchical splitting, rigid boundary, single optimization, lack of autonomous evolution ability and the like of a traditional storage system are broken through, and the system performance is remarkably improved, the adaptive ability is enhanced, the cooperation efficiency is optimized, and decision-making intelligence is achieved.

The invention discloses a storage resource management method and device, electronic equipment and a readable storage medium, the method is applied to a central monitor, the central monitor is connected to a storage system, the storage system comprises a plurality of storage directories, and each storage directory is bound with a user group, and the method comprises the following steps: monitoring each storage directory in the storage system, obtaining storage resource use information of each storage directory; determining a to-be-managed storage directory and a target user group corresponding to the to-be-managed storage directory according to the use information of each storage resource; obtaining user group information of the target user group, and determining a storage directory management strategy according to the user group information and the storage resource use information; and adjusting the storage capacity of the to-be-managed storage directory by using the storage directory management strategy to obtain a new storage directory corresponding to the target user group. By applying the technical scheme provided by the invention, reasonable and flexible storage resource quota management can be carried out on vast users, and the problem of waste of storage resources is further avoided.

The invention discloses a storage resource management method for cloud edge collaboration and a program product. The method comprises the following steps: acquiring multiple target storage resource parameters of a target edge node at multiple moments, and determining a first capacity quota of the target edge node according to the multiple target storage resource parameters at the multiple moments; generating a first token according to the first capacity quota, generating a first signature according to the first token, sending the first token to the target edge node, and receiving a second signature and a first storage resource sent by the target edge node, the first storage resource being determined according to the first token, the generation mode of the second signature is determined according to the generation mode of the first signature; and writing the first storage resource of the target edge node into a cloud resource scheduling center based on the first signature and the second signature. By analyzing the storage resource data of the edge nodes, more reasonable and effective storage resource allocation is realized, and the stability of the cloud edge collaborative system is effectively guaranteed.

The invention discloses a checkpoint management method and device, a storage medium and a product, and relates to the technical field of storage resource management, and the method comprises the steps: obtaining a checkpoint generated in a model training process; based on the time attribute information of the check points, the check points are distributed to the corresponding check point retention intervals, and the time span of the check point retention interval of any later stage is larger than the time span of the check point retention interval of the adjacent previous stage; and after the check point reservation interval is filled with the check points, at least one check point is selected from the check points of the check point reservation interval for reservation processing, and unselected check points in the check point reservation interval are deleted. Through the cooperation of the characteristics of the rapid growth sequence and the management among the partitions, the bottleneck of the linear growth of the memory space is broken through, the automatic and ordered management of the check points is realized, manual intervention is not needed, the management stability and reliability are remarkably improved, and the method is adaptive to a long-period large-scale deep learning model training scene.

An apparatus stores storage resource management information for managing information on a throughput performance resource and a response time of a storage apparatus in each of a main site and a remote site. The apparatus receives a performance requirement including response performance and throughput performance for a volume copy pair including a primary volume in the main site and a secondary volume in the remote site. The apparatus determines whether there is a storage apparatus satisfying the performance requirement in both the main site and the remote site with reference to the storage resource management information. When there is a storage apparatus satisfying the performance requirement in both the main site and the remote site, the apparatus determines to create the volume copy pair.

The invention relates to the technical field of transformer substation intelligent inspection, and provides a transformer substation inspection visual analysis system storage resource management method and system, and the method comprises the steps: classifying and organizing inspection data, and enabling the inspection data to be classified and stored according to a time sequence relation and a source; performing intelligent analysis and compression on ultra-high-definition inspection data in the inspection data; processing data collected by the silent patrol point positions in the patrol data, and eliminating low-value data which does not trigger alarm; and automatically cleaning low-value historical data through real-time calculation according to the actual use condition of the storage space. Through comprehensive application of hierarchical storage, intelligent compression and automatic cleaning, efficient management of the whole life cycle of the inspection data can be realized.

The present disclosure provides a graphics card storage resource management method and device, electronic equipment and readable medium, and relates to the technical field of graphics cards. The graphics card storage resource management method comprises: obtaining an access history of a virtual address block; and according to the access history, performing step-by-step migration of the virtual address block between a graphics card, a host memory and a solid state disk in a UVM framework. Through the embodiment of the present disclosure, the solid state disk is organically integrated into the UVM system as the third level of storage, the addressable space of the graphics card is expanded, the access frequency and the characteristics of the storage medium are balanced, and the probability of hot data residing in the high-speed layer is improved. While optimizing the utilization rate of the graphics card storage resource, the graphics card access efficiency and reliability are ensured.

This application discloses a storage resource management system and a storage system, relating to the storage field. The storage resource management system includes: a first control module, used to determine the current access mode and generate a switching instruction based on the current access mode; and a first switching module, which includes multiple first ports and multiple second ports. The first ports are used to connect to computing resources, and the second ports are used to connect to storage resources. Upon receiving a switching instruction, the first switching module controls the connection between the first port and the second port corresponding to the switching instruction, so that the computing resources access the storage resources according to the current access mode. This application offers flexible configuration and ensures that if one data link fails or loses power, the remaining data links can still operate normally without affecting business operations, thus improving the reliability of the storage system.

The application provides a storage resource management method and device, a storage medium and an electronic device. When a storage resource management request is received, device information of a storage device corresponding to the storage resource management request and a keyword of an API to be called are determined. The device information and the keyword are input into an IoC container to obtain an object instance of the API to be called. The IoC container obtains registration information and a dependency relationship of the API to be called based on the device information and the keyword, and reflects the registration information and the dependency relationship to obtain the object instance of the API to be called. Based on the object instance, the API to be called is called to manage a storage resource corresponding to the storage resource management request in the storage device. It can be seen that, according to the application, the IoC container is pre-constructed in a test environment, the object instance is generated by the IoC container, the API is called, and thus the coupling degree and the difficulty of code maintenance are reduced.

Examples described herein provide a computer-implemented method for identity provider agnostic departmental multi-tenancy management of storage resources that includes providing a software-defined storage-as-a-service (SDSaaS) workspace that defines a tenancy circle, wherein the SDSaaS workspace interconnects an open-source container orchestration system namespace and the storage resources. The method further includes assigning the storage resources to departments within the SDSaaS workspace. The method further includes enabling departments to manage their own storage resources independently from one another. The method further includes implementing role-based access control at a SDSaaS workspace level to control user access to the storage resources of the SDSaaS workspace.

The application provides a storage resource management method and device of a data processor and electronic equipment. The method comprises the following steps: determining a target bus link in which the data processor is located from a plurality of peripheral component interconnect standard bus links by enumerating a device supporting the peripheral component interconnect standard; configuring the target bus link to adopt a target link function configuration; the supported storage resource read-write bandwidth of the target link function configuration is higher than that of a default link function configuration; and managing the storage resource of the data processor based on the target bus link. By configuring the target bus link to adopt the target link function configuration, the target bus link after the configuration can support high-speed read-write of the storage resource of the DPU, and efficient use of the storage resource of the DPU under the operating system can be realized.

The application belongs to the technical field of storage, and discloses a storage resource management method and system, which comprises the following steps: defining a cluster storage resource controller, storing bandwidth information of each resource, and performing full-dimension event monitoring on cluster resources; deploying an adjusting unit in each node through the cluster storage resource controller, and allocating a local resource space by using the adjusting unit; according to the bandwidth information in the cluster storage resource controller, calculating a global reference weight of each adjusting unit according to a weight priority in each resource, and performing normalization processing; adding metadata information of a storage resource of each adjusting unit to a ring queue, constructing a storage service quality scheduling virtual ring queue, and dynamically allocating the storage resource of the adjusting unit by using pointer scheduling and time period segmentation. The application improves the flexibility of storage resource allocation among different applications.

The invention provides a storage space management method and device, electronic equipment and a computer program product, and relates to the field of space management. The storage space management method comprises the following steps: inputting use information of a storage space into a dynamic prediction model to obtain a predicted use condition of the storage space; wherein the usage information comprises a historical usage amount sequence and service features; inputting the current use condition and the predicted use condition into an execution decision model, and determining a target operation; and managing the storage space according to the target operation. According to the storage space management method provided by the embodiment of the invention, the service scene can be sensed, the disk space can be accurately predicted, and the disk space can be dynamically managed according to the prediction result; and an execution result based on disk space management exists, optimization of the prediction model is realized, and the automation level and reliability of storage resource management are effectively improved.

To provide a physical resource lending source device or the like that enables the lending source of a physical resource to manage the lending status (state of availability) of a physical resource borrowed by a user (tenant, for example, a carrier).SOLUTION: A physical resource lending source device includes a resource management table memory unit that stores a resource management table including items such as lendable physical resources, authorized tenants associated with the physical resources, and lending status, a resource borrowing request acquisition unit that acquires a physical resource borrowing request sent from a lending destination, a resource selection unit that selects a physical resource to be lent to the lending destination from the lendable physical resources on the basis of the physical resource borrowing request, and a resource allocation unit that allocates the selected physical resource to the lending destination that sent the physical resource borrowing request.SELECTED DRAWING: Figure 1

The application provides a storage resource management method and device, electronic equipment and storage medium. The method comprises the following steps: determining a storage resource allocation request and a local pooled hard disk corresponding to the storage resource allocation request; if the storage capacity in the local pooled hard disk is less than the storage demand capacity in the storage resource allocation request, determining an expansion capacity according to the storage capacity in the local pooled hard disk and the storage demand capacity in the storage resource allocation request; if the expansion capacity is greater than the available capacity of a global local hard disk, determining a first other local pooled hard disk according to the hard disk type information in the storage resource allocation request; and expanding the local pooled hard disk according to the first target local hard disk and the first other local pooled hard disk to obtain a target local pooled hard disk, wherein the first target local hard disk is a hard disk in an available state in the global local hard disk. The method improves the allocation effect of the local storage resource.

The invention provides a visual intelligent storage management method and system for a domestic GPU management platform. The method comprises the following steps: creating and initializing file storage resources; the intelligent data storage interface is integrated with storage resources; the domestic GPU management platform manages and monitors storage resources; and GPU training task data sharing and access. According to the system, the method is realized when the processor executes the computer program stored in the memory. According to the method, application and use of file storage resources by GPU management platform training and reasoning tasks can be realized through a visual interface, intelligent management and application of the storage resources are realized through the GPU management platform, and visual data sharing management and storage integration are realized for a domestic GPU management platform; life cycle management of storage resources is realized according to dynamic resource allocation and static resource allocation, and binding of the storage resources and storage requirements of tenants is realized through a GPU management platform, so that complexity of storage configuration management by training and reasoning application is reduced; and the problems of data sharing and data governance in the training task are solved based on a domestic GPU environment.

To provide a device for managing a storage system that guarantees performance after failover.SOLUTION: A device stores storage resource management information that manages information on a throughput performance resource and a response time of storage devices at a main site and a remote site. The device receives performance requirements, including response performance and throughput performance, for a volume copy pair consisting of a primary volume at the main site and a secondary volume at the remote site. The device refers to the storage resource management information and determines whether there is a storage device that satisfies the performance requirements at both the main site and the remote site. The device determines, when there is a storage device that satisfies the performance requirements at both the main site and the remote site, to create the volume copy pair.SELECTED DRAWING: Figure 1

A management method for Content Delivery Network (CDN) function virtualization, including: sending a node creation request to a Mobile / Multi-access Edge Application Orchestrator (MEAO), so that the MEAO controls a Mobile / Multi-access Edge computing Platform (MEP) to perform node instantiation processing to generate a Mobile / Multi-access Edge Computing-CDN (MEC-CDN) node, wherein the MEC-CDN node includes at least one virtualization function module that supports a service operation, and the virtualization function module accesses a storage resource pool via a unified storage access interface provided by a storage resource management module (S101); and connecting the MEC-CDN node to a CDN (S102). Further provided are a CDN management node, an MEAO, an MEP, an electronic device, and a computer readable medium.

The application discloses a kind of service object dynamic configuration method, it is related to storage resource management technical field, including steps: by the characteristic parameters such as data scale, attribute number, change frequency, query frequency and response time requirement of service object acquisition, calculate configuration flexibility index CFI and performance decay index PDM in application server memory, according to the comparison of preset threshold with the calculation result Adaptive selection semantic storage mode SSM or structured storage mode CSM;When selecting SSM, adopt two-stage batch query to obtain entity ID after batch query attribute value, when selecting CSM, according to metadata dynamically generated and executed table structure change statement, simultaneously, corresponding entity class bytecode is generated in memory and is loaded, if execution fails, then trigger rollback operation.The application can adaptively select optimal storage mode, realizes the non-stop change of service object structure, balances the flexibility and high performance demand of system.

The invention relates to the technical field of storage resource management, and particularly discloses a storage abnormity tracing method and system, and the method comprises the steps: obtaining the cargo information at a warehousing end in real time, and building a cargo label and a cargo feature based on the cargo information; creating a cache database with cargo labels as names, acquiring warehouse videos in real time based on a camera system, and positioning cargo areas in the warehouse videos based on cargo features; identifying a cargo area, determining cargo variation and workers in each time period, and inputting the cargo variation and workers into a cache database; receiving a traceability request which is input by a worker and contains a cargo label and a variable quantity, and performing traceability in the cache database; according to the method, the cargo state is acquired in real time through the camera in the warehouse, the cargo change amount and nearby workers are determined according to the cargo state, the nearby workers are regarded as cargo change reasons and set as responsible personnel, and when source tracing is needed, direct query can be carried out.

The invention discloses a cloud disk space planning method and device, equipment, a storage medium and a program product, and is applied to the technical field of storage resource management. Cloud disk feature data corresponding to multiple users and a current to-be-planned space are acquired; inputting the current to-be-planned space and the plurality of cloud disk feature data into a first cloud disk space planning model to obtain a to-be-planned space of the user group; inputting the to-be-planned space of the user group and the cloud disk feature data corresponding to each user into a second cloud disk space planning model to obtain the to-be-planned space of each user; obtaining cloud disk historical operation data of the user, inputting the cloud disk historical operation data of the user, a to-be-planned space of the user and cloud disk feature data corresponding to the user into a third cloud disk space planning model, and generating a space allocation execution strategy of the user; cloud disk space planning is performed according to the space allocation execution strategy, so that the cloud disk space is dynamically planned for the user, and waste of cloud disk space resources is avoided.

The physical resource lending source apparatus includes: a resource management table storage unit configured to store a resource management table including, as items, a lendable physical resource, and a permitted tenant and a lending state being associated with the physical resource; a resource borrowing request acquisition unit configured to acquire a physical resource borrowing request being transmitted from a lending destination; a resource selection unit configured to select, based on the physical resource borrowing request, a physical resource to be lent to the lending destination from among the lendable physical resources; and a resource allocation unit configured to allocate the selected physical resource to a lending destination being a transmission source of the physical resource borrowing request.

The invention belongs to the technical field of storage, and discloses a storage resource management method and system, and the method comprises the steps: defining a cluster storage resource controller, storing the bandwidth information of each resource, and carrying out the full-dimensional event monitoring of the cluster resources; deploying an adjusting unit in each node through a cluster storage resource controller, and allocating a local resource space by using the adjusting units; according to the bandwidth information in the cluster storage resource controller, the global reference weight of each scheduling unit is calculated and obtained according to the weight priority in each resource, and normalization processing is carried out; adding the metadata information of the storage resources of each scheduling unit into an annular queue, constructing a storage service quality scheduling virtual annular queue, and dynamically allocating the storage resources of the scheduling units by utilizing pointer scheduling and time period segmentation. According to the invention, the flexibility of storage resource allocation among different applications is improved.

The present application discloses a resource management method and apparatus and a device. The method comprises: in response to a first request, using a first service to generate a second request for a first application, the first request representing an image encoding or decoding request, the first service representing an image encoding and decoding service, and the second request representing a hardware storage resource allocation request; on the basis of the first application, using the first service to generate corresponding identification information for the second request, the identification information being used for indicating whether hardware storage resources allocated to the second request are allowed to be passively recycled; and on the basis of the second request, using a second service to allocate the hardware storage resources to the second request, the second service representing a hardware storage resource management service, and the hardware storage resources representing storage resources used for performing image encoding or decoding.

The present invention discloses a data storage method and system integrating multiple magneto-optical media, and relates to the technical field of data storage, including collecting multi-dimensional data, using multiple degrees of freedom of light to encode information, and generating corresponding optical signals; selecting suitable storage media to store the encoded optical signals; establishing data writing mechanism and reading mechanism to improve efficiency; using intelligent algorithms to construct comprehensive evaluation functions, and allocating storage space based on the comprehensive evaluation functions to achieve storage resource management; setting performance indicators to construct health evaluation functions, and continuously monitoring the operating status of the storage system; the present invention improves data storage density and read-write speed by using multiple degrees of freedom of light to encode information; selecting suitable storage media and optimized data read-write mechanisms to reduce data redundancy and improve efficiency; using intelligent algorithms to allocate storage space, and achieving effective management of storage resources.

The application discloses a storage resource management method and device, electronic equipment and a readable storage medium. The method is applied to a central monitor connected to a storage system. The storage system comprises a plurality of storage directories, and each storage directory is bound to a user group. The method comprises the following steps: monitoring each storage directory in the storage system to obtain storage resource usage information of each storage directory; determining a to-be-managed storage directory and a target user group corresponding to the to-be-managed storage directory according to the storage resource usage information; obtaining user group information of the target user group, and determining a storage directory management strategy according to the user group information and the storage resource usage information; and adjusting the storage capacity of the to-be-managed storage directory by using the storage directory management strategy to obtain a new storage directory corresponding to the target user group. The technical solution provided by the application can reasonably and flexibly manage the storage resource quota of a large number of users, and further avoids the waste of storage resources.