1020 results about "Storage pool" patented technology

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.

A non-volatile memory includes physical blocks each including a respective plurality of cells, where each cell is capable of storing multiple bits of data. A controller maintains dynamically resizable pools of physical blocks, including at least a low-density pool in which cells are configured to store fewer bits and a high-density pool in which cells are configured to store more bits. The controller repeatedly dynamically resizes the low-density and the high-density pools based on write utilization of the non-volatile memory.

The invention provides a data storage method and device and a storage system, relates to the technical field of storage, and aims to adaptively select a proper data writing mode so as to reduce the overhead of a data writing process. The method is applied to a storage controller in a storage system, the storage system comprises a plurality of storages, and the method comprises the following steps: obtaining target data; determining a write-in mode when the target data is written into the storage pool from a plurality of write-in modes supported by the storage system; the storage pool is a storage space mapped by a plurality of memories in the storage system, the write-in mode of the data comprises an overwrite mode or an additional write mode, and the storage pool supports the overwrite mode and the additional write mode and supports switching of the write-in mode; and writing the target data into the storage pool according to the determined writing mode.

A method of optimizing a set of oil producing wells to be drilled in a reservoir includes receiving a base reservoir simulation representative of a geological oil reservoir, clustering the reservoir, and generating, in a first process, a possible pool of well positions in the reservoir, where each well position satisfies plausibility and respects operational constraints. The method further includes, in a second process, optimizing the pool of well positions, the second process maximizing a dynamic variable of the reservoir, and outputting the optimized pool of wells to a user. In embodiments, the second process further includes training a DNN surrogate model to forecast the production of the reservoir; and using the trained DNN surrogate model, optimizing the pool of wells.

Disclosed in the embodiments of the present application are a method and apparatus for inference in a large language model, which are used for reducing the bandwidth consumption of inference in a large language model. The method in the embodiments of the present application comprises: a computing device acquiring input data of a large language model running on a plurality of processors, wherein the input data comprises input text of a user and reference information generated on the basis of the input text, and the reference information comprises domain-related knowledge corresponding to the input text and timeliness information corresponding to the input text; on the basis of the input data, matching historical key-value cache data in a shared storage pool, so as to determine key-value cache data corresponding to the input data, wherein the historical key-value cache data is used for indicating intermediate data generated when the large language model processes different historical input data, the shared storage pool is used for storing historical key-value cache data generated by the plurality of processors, and the different historical input data comprises historical input text and reference information corresponding to the historical input text; and on the basis of the key-value cache data, generating an output result corresponding to the input data.

Methods, systems, and computer program products for high-performance cluster computing. Multiple components are operatively interconnected to carry out operations for high-performance RDMA I / O transfers over an RDMA NIC. A virtual machine of a virtualization environment initiates a first I / O call to an HCI storage pool controller using RDMA. Responsive to the first I / O call, a second I / O call is initiated from the HCI storage pool controller to a storage device of an HCI storage pool. The first I / O call to the HCI storage pool controller is implemented through a first virtual function of an RDMA NIC that is exposed in the user space of the virtualization environment. Prior to the first RDMA I / O call, a contiguous unit of memory to use in an RDMA I / O transfer is registered with the RDMA NIC. The contiguous unit of memory comprises memory that is registered using non-RDMA paths such as TCP or iSCSI.

The invention discloses a request path generation 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 client request, and obtaining hardware configuration information of a storage cluster; dividing the storage pool into different speed levels based on hardware performance differences; positioning a target cache node through topology perception and obtaining the state of the target cache node; in combination with request features and cache node states, intelligently scheduling request data to a storage pool of a matching speed level; and finally generating and executing an optimized target storage path. According to the method and the device, the problem of poor request path generation performance caused by insufficient intelligent and efficient resource scheduling in related technologies in a heterogeneous hardware storage environment is solved, and the technical effects of improving the utilization efficiency of storage resources, reducing request processing delay and optimizing end-to-end storage access performance are achieved.

The invention discloses a modular intelligent sewage treatment management system, and the system comprises a data collection module which is used for collecting land-related data, sewage real-time data, and historical sewage production-related data; the sewage treatment module is used for constructing a multi-objective optimization model according to the real-time sewage data and the capacity data of the sewage storage pool, and starting sewage treatment processes of a plurality of service areas according to a solving result; the sewage yield prediction module is used for inputting the land-related data and historical sewage production-related data of the plurality of service areas into a sewage yield prediction model to obtain a predicted sewage yield and a first predicted ferrite consumption amount in a next time period; and the material purchasing module is used for calculating the ferrite predicted demand quantity according to the output of the sewage yield prediction module, and purchasing according to the ferrite predicted demand quantity of the plurality of sewage treatment plants. The invention relates to the technical field of sewage treatment, and solves the technical problems of intelligent management and optimal control in the sewage treatment process.

The invention discloses a storage space optimization method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining the space utilization rate of a full-flash storage pool in real time, and determining the space utilization rate of the full-flash storage pool based on the actual space balance proportion of the last period and the target space balance proportion of the current period under the condition that the space utilization rate reaches a recovery threshold value; and determining the proportion between the number of first metadata operations generated by writing data into the all-flash storage pool in the current period and the number of second metadata operations generated by recovering the data in the all-flash storage pool. Therefore, the space consumption speed and the space recovery speed of the all-flash storage pool are adjusted, accurate regulation and control of the storage space are realized, and the storage performance of the all-flash storage system is improved. By means of the method, the technical problems that in the related technology, the adjustment efficiency of the storage space is low, and the granularity is rough are solved, and the technical effect of improving the storage performance of the all-flash storage system is achieved.

The invention relates to the technical field of wastewater treatment, and provides a pretreatment device and method for wastewater containing heavy metal ions, and the pretreatment device comprises a water inlet unit, a multi-stage reaction unit, a solid-liquid separation unit, a deep adsorption unit and an intelligent control unit; the water inlet unit comprises a wastewater storage pool and a pH adjusting pool, and the pH adjusting pool is provided with a pH sensor and a dosing device; the multi-stage reaction unit consists of three rotational flow reaction tanks which are connected in series, and spiral guide plates are arranged in the tanks to enhance mixing; the solid-liquid separation unit comprises an inclined plate sedimentation tank and a centrifugal filter; a sludge return pipe is arranged at the bottom of the inclined plate sedimentation tank and extends to the reaction tank; the deep adsorption unit is filled with a modified zeolite-activated carbon composite adsorbent, and a heavy metal ion concentration online monitor is arranged at the rear end; the intelligent control unit dynamically adjusts the dosage and the reaction time based on pH and concentration data. The device has the beneficial effects that the mixing efficiency of wastewater treatment is enhanced, the pH application range of wastewater treatment is widened, and the cost is reduced.

The invention discloses a storage node cluster access method and a cloud management platform, which not only can enable a plurality of applications to share the same storage pool, but also can ensure the data security among the applications. The method comprises the steps that a tenant can input an identifier of an application of the tenant and an identifier of a computing node of the tenant to a binding interface provided by a cloud management platform; and then, the cloud management platform can create a binding relationship among the identifier of the application, the identifier of the computing node and the identifier of the storage space serving the application, and enables the computing node to run the application. The cloud management platform may then deploy the binding relationship in the proxy node. And then, when the agent node receives an access request from the computing node, the agent node can detect the access request based on the binding relationship, and if information carried by the access request conforms to the binding relationship, the agent node creates a storage space in the storage node cluster or completes data processing in the storage space.

The invention relates to a method, a system and equipment for online upgrading of a storage system and a medium, and belongs to the technical field of distributed storage, and the method comprises the following steps: determining at least one node to be upgraded in the storage system; any node to be upgraded is selected as a control node to receive the mirror image file package, and a mirror image source is created based on the mirror image file package; and determining at least one node cluster according to the node cluster category to which the to-be-upgraded node belongs, determining the upgrading sequence of each node cluster according to the upgrading priority of the node cluster, and simultaneously upgrading the plurality of to-be-upgraded nodes which belong to the same node cluster and belong to the same storage pool. Through the upgrading method provided by the invention, rapid and reliable upgrading iteration can be realized on the premise of not influencing service operation.

The invention relates to an enhanced urban terrestrial heat exploitation system and method based on nanofluid. The system comprises a heat collection pipeline, a heat exchange assembly and a nanofluid adjusting assembly. The nanofluid adjusting assembly is connected into the heat collecting pipeline. The nanofluid adjusting assembly comprises a storage pool, a control unit, a concentration detection sensor, a temperature sensor and a concentration adjusting unit, the concentration detection sensor, the temperature sensor and the concentration adjusting unit are connected with the control unit, the storage pool communicates with the heat collecting pipeline, the concentration detection sensor is used for detecting the concentration of nanofluid in the storage pool, and the temperature sensor is used for detecting the temperature of the nanofluid. And the concentration adjusting unit is used for adjusting the concentration of the nanofluid in the storage tank. Compared with the prior art, the method has the advantages that the fluid concentration in the whole circulation pipeline is adjusted in real time according to the appropriate heat transfer concentration of the hybrid nanofluid at all temperatures, then the heat exchange performance of the nanofluid is effectively guaranteed, and the heat exchange efficiency of the geothermal circulation system is improved.

The embodiment of the invention provides a data processing method and device, equipment and a storage medium, which are used for realizing rapidness and stability of distributed storage. The method is applied to the fields of block chains, big data, cloud technologies, artificial intelligence and the like, and comprises the steps that a data writing request sent by a client is received, and the data writing request is used for indicating data modification of N copies of target data; a consistency rule of the target storage pool is obtained, the consistency rule is used for indicating that the execution of the feedback data write request to the client is successful when response replies returned by M storage nodes are received, and M is a positive integer smaller than or equal to N; sending a data writing request to the N storage nodes to enable the N storage nodes to execute a writing operation of the target data; counting response replies fed back by the N storage nodes; when the response reply meets the consistency rule of the target storage pool, a response message is replied to the client side, and the response message is used for indicating that the data writing request is executed successfully.

The invention provides a backup method, device and equipment for a distributed database and a storage medium, and the backup method for the distributed database comprises the steps: determining a backup cluster object of the distributed database corresponding to a business system, generating a backup task in the backup cluster object in response to a backup request, and executing the backup task through the backup cluster object. Determining target cache data of the distributed database, copying the target cache data into a plurality of backup storage nodes of a backup storage pool, and realizing unified backup by adopting a mode of creating a backup cluster object of the distributed database to meet a data backup requirement of the distributed database; meanwhile, the backup cluster is not a single database which is independent of each other, but is a new distributed cluster formed by a plurality of backup storage nodes, so that the overall clustering response capability is achieved, and the data recovery requirement of the distributed database can be met.

The invention provides a data fragment conversion method, device and equipment for a distributed database, which can be applied to the technical field of databases. The method comprises the following steps: in response to a fragmented transaction request, respectively creating target business data empty tables on I data nodes included in a distributed database; distributing data in the initial business data table to a plurality of threads in a balanced manner to obtain target data corresponding to the plurality of threads; determining a to-be-stored data node corresponding to the target data based on a fragmentation rule of the target business data empty table; based on the first mapping relation and the to-be-stored data node, storing the target data on the thread of the ith data node into a target storage pool, corresponding to the to-be-stored data node, on the ith data node; and under the condition that the data volume in the target storage pool is equal to a preset quantity threshold value, packaging the target data in the target storage pool and storing the target data in a target business data empty table on the to-be-stored data node.

The present application discloses a method, device and equipment for disaster recovery in the same city across data centers based on a cloud platform. The method comprises: firstly, creating a disaster recovery parameter configuration on the cloud platform, and specifying a primary virtual control center, a backup virtual control center, a primary storage pool, and a backup storage pool; then, creating a protection group on the cloud platform, and adding a cloud host to the protection group; then, starting the protection function of the protection group to achieve real-time synchronization of the underlying storage, and then stopping the protection function of the protection group to stop the real-time synchronization of the underlying storage; then, switching the synchronization direction of the underlying storage through the primary-backup switching function; at the same time, when a disaster occurs in the primary virtual control center, performing a fault switching to switch the backup virtual control center to the primary virtual control center; and then, after the primary virtual control center returns to normal, re-enabling the data synchronization of the primary and backup storage through re-protection. Thus, disaster recovery in the same city with real-time synchronization of data is achieved, and the problem of data loss is avoided.

The invention belongs to the technical field of cloud computing, and discloses a lightweight multi-domain hyper-fusion platform construction method compatible with heterogeneous hardware resources, which adopts a lightweight hyper-fusion platform architecture compatible with the heterogeneous hardware resources, converts physical resources into virtual resources on a virtual machine based on a KVM (Kernel-based Virtual Machine), shields the difference of underlying hardware, and improves the performance of the platform. According to the method, heterogeneous storage resources are integrated based on Ceph, and storage devices of different manufacturers are integrated into a unified storage pool through a distributed storage technology without being limited by types of bottom hardware devices. Through the SDN technology, the OpenStack network service can decouple a network control plane and hardware, and unified management of different network devices is realized. Through a virtualization technology and an automatic management tool, a simplified elastic expansion solution is provided, and changes of resource demands are easily coped with.

An illustrative method includes a storage management system accessing metrics data associated with storage pools of a cluster; performing, based on the metrics data, a predictive failure analysis with respect to the storage pools, the predictive failure analysis indicating a likelihood of failure of each of the storage pools; selecting, based on the predictive failure analysis, a storage pool from the storage pools as an optimal location for a volume; and creating the volume on the storage pool.

Energy storage and retrieval systems are disclosed, along with methods of storing and retrieving the energy. One system includes a thermal energy storage subsystem and a trilateral cycle, with first and second heat exchangers. The first heat exchanger exchanges heat between the energy storage medium and the working fluid, and the second heat exchanger exchanges heat between the high- and low-pressure sides of the trilateral cycle. Another system includes a conduit fluidly connecting pressurized gas in low- and high-temperature thermal energy storage tanks and passing through a heat exchanger in which the gas in the conduit exchanges heat with the thermal energy storage medium and / or the working fluid, enabling recovery of heat lost to evaporation of the thermal energy storage medium during discharge of the stored thermal energy in the system. The methods relate to various operations of the systems.

The invention discloses a fault recovery method of a storage pool, computer equipment, a storage medium and a product, and relates to the technical field of computers, and the method comprises the following steps: preferentially identifying and scanning a metadata area after the storage pool is offline, screening persistent effective metadata before offline, and storing the effective metadata in a database; metadata reconstruction is taken as a core to preferentially complete integration and restoration of a mapping relation between a logic address and a physical address instead of waiting for synchronous reconstruction of business data, so that the dilemma of long-time logic unavailability of a storage pool caused by synchronous processing of the metadata and the business data in a traditional restoration scheme is effectively broken through; according to the method, the target mapping relation table is quickly generated through conflict resolution and deletion completion processing, so that the interruption duration of the storage pool from offline to online can be remarkably shortened while the mapping accuracy is guaranteed, and the service access delay caused by unready metadata can be avoided.

A data storage method and a computing device, the method is applied to a storage device, the storage device comprises a first storage pool and a second storage pool, the first storage pool comprises a first solid state disk and a mechanical hard disk, and the second storage pool comprises a shared storage area. The shared storage area is used for providing an extended storage space for the first storage pool; the method comprises the following steps: receiving a first data writing request; under the condition that the data volume of the first data is smaller than or equal to the available capacity of the first solid state disk of the first storage pool, writing the first data into the first solid state disk of the first storage pool; and when the data volume of the first data is greater than the available capacity of the first solid state disk of the first storage pool and is less than or equal to the available capacity of the shared storage area of the second storage pool, writing the first data into the shared storage area of the second solid state disk of the second storage pool.

The invention relates to a method and device for creating a cloud host, electronic equipment and a storage medium. The method comprises the following steps: in response to a received creation instruction, obtaining an IP address, a subnet mask, a first cluster list and a basic network list of a to-be-created cloud host; filtering the basic network list according to the IP address and the subnet mask to obtain an available network list and a first host list; filtering the first cluster list through the first host list to obtain a second cluster list and a storage pool; determining a target storage pool, a second host list and a third cluster list from the storage pools; obtaining an intersection of the second cluster list and the third cluster list to obtain a fourth cluster list and a target cluster; and determining a target host according to the second host list and the target cluster, and creating the to-be-created cloud host according to the available network list, the target storage pool, the target cluster and the target host. By adopting the method, the cloud host can be efficiently and conveniently created, and the high availability of the cloud host is improved.

The technology disclosed herein enables a higher-level process to perform storage volume management with knowledge of a physical storage backend underlying a storage volume. In a particular example, a method includes mounting a storage volume to a computing node of the computing nodes. The storage volume is stored in a storage pool of a plurality of underlying storage pools. The method further includes determining an identifier for the storage pool, receiving a request to duplicate the storage volume, and determining a second identifier for a second storage pool of the plurality of underlying storage pools to which the storage volume will be duplicated. When the second identifier matches the identifier, creating a clone of the storage volume rather than copying the storage volume to the second storage pool.

The invention discloses a glue injection repairing method for a foam sandwich structural member. The glue injection repairing method comprises the steps that S1, a degumming area of the foam sandwich structural member is determined; s2, drilling a plurality of glue overflow holes in the degumming area, and drilling a plurality of glue injection holes in the edge of the degumming area; s3, a breathable layer and a vacuum layer which cover the multiple glue overflowing holes are sequentially arranged on the degumming area, a vacuum device is connected with a cavity, communicated with the glue overflowing holes, on the inner side of the vacuum layer, a fence arranged around the glue injection holes is arranged on the outer sides of the glue injection holes, and a glue storage pool communicated with the glue injection holes is formed in the fence; s4, preparing a glue solution, fully filling the glue storage pool with the glue solution, and enabling the glue solution in the glue storage pool to flow to the glue overflow hole along the gap at the debonding part through the glue injection hole by utilizing the vacuumizing suction of the vacuum device until the glue solution overflows from the glue overflow hole; according to the method, the vacuum technology is adopted, glue liquid can better permeate into degummed gaps, the phenomenon of non-bonding or weak bonding of local parts of a repaired product is avoided, and it is guaranteed that the repaired structure has good performance and reliability.

The invention discloses a heat supply system and method for a water source heat pump coupled seasonal water pool synergistic municipal heat supply network. In the system, a solar heat collector is connected with a seasonal heat storage water pool through a pipeline via a heat exchanger; the seasonal heat storage water tank and the municipal heat supply network are connected with a heat consumer through a pipeline via a heat exchanger; and the water source heat pump is connected with the seasonal heat storage water tank and the heat consumers through pipelines. According to the system, a multi-source complementary framework with solar energy as a main source, heat pump synergism and municipal administration as a bottom is constructed. In the heat supply season, the system adopts a temperature difference lag control strategy, according to seasonal temperature changes of the heat storage pool, a direct heat supply mode, a water source heat pump coupling heat storage pool heat supply mode and a municipal heat supply network heat compensation mode are automatically switched, and stable transition from high-temperature direct heat supply to low-temperature water pump auxiliary heat supply and then to municipal heat supply network bottom heat supply is achieved. It is guaranteed that the building can obtain continuous and stable heat supply all the time in the heat supply season, and meanwhile, clean energy is utilized in a larger range, and heat supply quality is accurately controlled.

The invention discloses a backup method and device, a storage medium and electronic equipment. Relates to the field of big data, and comprises the following steps: obtaining a current operation state of a storage pool, the storage pool comprising N storage addresses, the N storage addresses respectively corresponding to different storage performances, and N being a positive integer; based on the current running state, a target model is adopted to determine a target address from the N storage addresses, the target model is obtained through training on the basis of historical backup feedback information of the storage pool, and the historical backup feedback information is obtained on the basis of the historical storage success rate and the historical backup rate of the storage pool; and storing the business data to be backed up to the target address. Through the data backup control method and device, the problem that the accuracy of data backup control is not ideal in the prior art is solved.

The invention discloses a storage cluster multi-redundancy fault isolation method, system and device and a medium, and the method comprises the steps: dividing a storage cluster according to medium types, nodes or slot grouping, and forming a plurality of protection domains and / or fault domains enabling data resources to be isolated; the plurality of protection domains and / or fault domains for isolating the data resources are used for isolating different data resources in different storage pools according to different characteristics of the data resources and a hierarchical protection or access control strategy, so that the isolation of the protection domains and / or fault domains at a physical level is realized. Different types of resource pools can be created, and the data management capability, the system stability and the service continuity of the distributed storage cluster can be improved.

A data storage method is provided. The method includes generating a plurality of data blocks based on data to be stored and determining a target storage layer for the plurality of data blocks in a storage pool of at least one storage device. The storage pool has a multi-layer architecture including a plurality of storage layers. Each of the plurality of storage layers in the storage pool corresponds to a plurality of storage units, each storage unit in each storage layer contains a plurality of storage units in a next storage layer of the storage layer. The target storage layer is a storage layer in the storage pool that satisfies a first preset condition. The method further includes determining a plurality of target storage units from the storage pool based on the target storage layer and storing the plurality of data blocks based on the plurality of target storage units.

The invention discloses a flexible multi-valued hafnium oxide-based ferroelectric capacitor and a preparation method thereof, the flexible multi-valued hafnium oxide-based ferroelectric capacitor still has stable ferroelectricity in a bending deformation state, can realize 32 storage states, not only meets the requirement of storage pool calculation for multi-valued storage, but also effectively solves the problem that a ferroelectric material is difficult to maintain stability under strain in the wearable field.