CN111367866A - Cabinet model system of data cloud - Google Patents

Cabinet model system of data cloud Download PDF

Info

Publication number
CN111367866A
CN111367866A CN202010163225.4A CN202010163225A CN111367866A CN 111367866 A CN111367866 A CN 111367866A CN 202010163225 A CN202010163225 A CN 202010163225A CN 111367866 A CN111367866 A CN 111367866A
Authority
CN
China
Prior art keywords
cabinet
cloud
data
file
model system
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN202010163225.4A
Other languages
Chinese (zh)
Other versions
CN111367866B (en
Inventor
约翰·阿尔伯特·卡迈克尔
陆博
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Orca Data Technology Xian Co Ltd
Original Assignee
Orca Data Technology Xian Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Orca Data Technology Xian Co Ltd filed Critical Orca Data Technology Xian Co Ltd
Priority to CN202010163225.4A priority Critical patent/CN111367866B/en
Publication of CN111367866A publication Critical patent/CN111367866A/en
Application granted granted Critical
Publication of CN111367866B publication Critical patent/CN111367866B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10File systems; File servers
    • G06F16/16File or folder operations, e.g. details of user interfaces specifically adapted to file systems
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10File systems; File servers
    • G06F16/17Details of further file system functions
    • G06F16/172Caching, prefetching or hoarding of files
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/10File systems; File servers
    • G06F16/18File system types
    • G06F16/1847File system types specifically adapted to static storage, e.g. adapted to flash memory or SSD
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/445Program loading or initiating
    • G06F9/44505Configuring for program initiating, e.g. using registry, configuration files
    • G06F9/4451User profiles; Roaming
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/1097Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Databases & Information Systems (AREA)
  • Software Systems (AREA)
  • Human Computer Interaction (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)

Abstract

The invention provides a cabinet model system of a data cloud.A searching device sends a request for searching target data to a configuration distribution network. The configuration distribution network obtains configuration information of the target data through a cabinet administrator. And generating a file path according to the configuration information. And the cabinet administrator acquires any cloud data server according to the configuration information, if the cloud data server is unavailable, the next cloud data server is switched to until the cloud data server is available, and the cloud data server is used for providing a service for calling the configuration information. And the cloud data server finds the corresponding cabinet when the target data is stored. Calculating the attribute, the physical position information and the file path of the searching equipment by using a preset rule to generate a file name, creating a folder by using the file name, and storing the target data in the folder. All storage can be addressed directly from any cloud data server. The use of the cabinet model of the data cloud to create the video stream and write the video recording application never fails, improving reliability by an order of magnitude.

Description

Cabinet model system of data cloud
Technical Field
The invention relates to the technical field of file establishment in a system, in particular to a cabinet model system of a data cloud.
Background
The components of the data cloud are defined numerically with the underlying storage topology of the disk database. Numerology provides an effective SQL (structured query language) binding for AI (artificial intelligence)/BI (business intelligence) applications. However, functions such as network video recording, GUI (graphical user interface) thumbnail and video playing generally require services similar to POSIX (portable operating system interface, shared memory, subsystem, hereinafter referred to as POSIX), and can be accessed from a server or a video recording application program.
To this end, a binding is also created that is substantially POSIX compatible. This binding is called a binder (referred to herein as a locker), similar to files and folders in other implementations. The minimum required functions are file creation and writing, file opening and reading, folder creation, folder opening and reading, file size and creation, time and query.
In the prior art, under the condition that a complete network structure or power breakdown does not exist, an NVR (network video recorder) application program for creating a video stream and writing a video record by using a data cloud is interrupted or fails, the cloud creation of the video stream and the writing of the video record are not continuous, and the reliability is low.
Disclosure of Invention
The embodiment of the invention aims to provide a cabinet model system of a data cloud, which is used for creating video streams and compiling video records.
A data cloud's cabinet model system which characterized in that:
s100 the lookup device sends a request to the configuration distribution network to lookup the target data. The searching device is a server for sending a request for searching target data, and a distribution network is configured for providing a service for searching the target data to the searching device.
S110, the distribution network is configured to obtain configuration information of the target data through a cabinet manager, and the cabinet model system comprises the cabinet manager which is used for calling the configuration information of the target data. The configuration information is the storage location of the target data in the cabinet model system.
S120, generating a file path according to the configuration information.
S130, the cabinet administrator obtains a current cloud data server according to the configuration information, if the current cloud data server is unavailable, namely the current cloud data server cannot call the configuration information, the cabinet administrator automatically obtains a next cloud data server until the cabinet administrator obtains the available cloud data server, and the cloud data server is used for providing a service for calling the configuration information.
S140, the cloud data server finds the corresponding cabinet when the target data are stored, the cabinet is a hard disk slot used for storing the target data, and the hard disk slot has uniquely determined physical position information. The physical location information is used to provide the specific location of the hard disk card slot.
S150, calculating the attribute, the physical position information and the file path of the searching equipment by using a preset rule, generating a file name, creating a folder by using the file name, and storing the target data in the folder. The file name comprises the attribute, the physical position information and the file path of the searching device, and the preset rule is used for generating a uniquely determined file name according to the attribute, the physical position information and the file path of the searching device.
Compared with the prior art, the invention has the beneficial effects that: all storage can be addressed directly from any cloud data server. Even if the entire data center (AZ) is not online, nvr (network video recorder) applications that create video streams and write video recordings using the cabinet model of the data cloud never fail. The reliability is improved from 99.999 percent to 99.9999 percent, which is improved by an order of magnitude compared with the reliability of the prior art.
The method is further optimized as follows: the searching device can be any one of an internet of things device or a non-network searching device.
By adopting the technical scheme, the searching equipment can search the target data under the condition of network or power breakdown, thereby avoiding the occurrence of faults.
The method is further optimized as follows: the configuration information includes information for the type, number, filter type, graphical interface filter type, physical location, router, server, and disk slot of the target data.
By adopting the technical scheme, the searching equipment can accurately search the stored target data through the configuration information.
The method is further optimized as follows: the physical location information is area information of a storage location where the target data is located, and the physical location information includes an available area, an area, a sector, a floor number, an area, a longitude, and a latitude.
By adopting the technical scheme, the storage position of the target data is uniquely determined.
The method is further optimized as follows: the cabinet stores a number of files, the files consisting of segments, the segments spanning a number of files.
By adopting the technical scheme, the file is composed of the sections, the sections span a plurality of files, the system structure is completely universal, the cost for creating the file is low, and the query is convenient and quick.
It is further optimized that the cabinet provides storage space for several files, and the cabinet is prefixed with capital letters in the storage space.
By adopting the technical scheme, the file can be conveniently identified.
The method is further optimized as follows: all entries of the storage space represent the physical location of the cabinet.
By adopting the technical scheme, the uniqueness of the cabinet is determined.
The method is further optimized as follows: files may be stored across 4 data centers in a cabinet group.
By adopting the technical scheme, the cabinet group allows the file data center to store.
The method is further optimized as follows: the section file refers to an invisible section file, the invisible section file can be coded, and when inquiry access is carried out, the invisible section file is automatically presented.
By adopting the technical scheme, the automatic generation of the file is realized, and the files of the invisible sections are automatically presented.
The method is further optimized as follows: the file connects any number of configuration distribution networks.
By adopting the technical scheme, the whole program keeps continuous operation, no error is reported, and the reliability is improved by one order of magnitude.
Drawings
FIG. 1 is a schematic flow diagram of an embodiment;
FIG. 2 is a schematic view of a cabinet administrator of an embodiment;
FIG. 3 is a schematic diagram of an example cabinet group of an embodiment;
FIG. 4 is a schematic diagram of file generation according to an embodiment;
FIG. 5 is a schematic diagram of data storage and reading;
fig. 6 is a digital proposition diagram for storing data to a configuration distribution network.
Detailed Description
The embodiment of the invention aims to provide a cabinet model system of a data cloud, which is used for creating video streams and compiling video records. The specific technical scheme is as follows:
a cabinet model system of a data cloud is used for creating a video stream and writing a video record, as shown in fig. 1, the specific process is as follows:
s100 the lookup device sends a request to the configuration distribution network to lookup the target data. The searching device is a server for sending a request for searching target data, and a distribution network is configured for providing a service for searching the target data to the searching device.
S110, the distribution network is configured to obtain configuration information of the target data through a cabinet manager, and the cabinet model system comprises the cabinet manager which is used for calling the configuration information of the target data. The configuration information is the storage location of the target data in the cabinet model system.
S120, generating a file path according to the configuration information.
S130, the cabinet administrator obtains a current cloud data server according to the configuration information, if the current cloud data server is unavailable, namely the current cloud data server cannot call the configuration information, the cabinet administrator automatically obtains a next cloud data server until the cabinet administrator obtains the available cloud data server, and the cloud data server is used for providing a service for calling the configuration information.
S140, the cloud data server finds the corresponding cabinet when the target data are stored, the cabinet is a hard disk slot used for storing the target data, and the hard disk slot has uniquely determined physical position information. The physical location information is used to provide the specific location of the hard disk card slot.
S150, calculating the attribute, the physical position information and the file path of the searching equipment by using a preset rule, generating a file name, creating a folder by using the file name, and storing the target data in the folder. The file name comprises the attribute, the physical position information and the file path of the searching device, and the preset rule is used for generating a uniquely determined file name according to the attribute, the physical position information and the file path of the searching device.
All storage can be addressed directly from any cloud data server. Even if the entire data center (AZ) is not online, nvr (network video recorder) applications that create video streams and write video recordings using a cabinet model of the data cloud remain continuous and never fail. All data storage and reading are continuous and uninterrupted, and the reliability is improved from 99.999 percent to 99.9999 percent, which is an order of magnitude higher than that of the prior art.
The virtual folders and file mechanisms are called cabinets. It provides a POSIX-compliant namespace for video stream folders for a camera, each video stream file, each video segment file, thumbnail album folders, thumbnail files, and historical access records to faces.
In addition, applications may be associated with the bin type, including GPU filters on a write path, custom metadata presentation and storage, automatic generation of related components, and custom graphical user interface presentation.
The storage object key is defined by a combination of a-H columns, as shown in fig. 6, all columns being columns of numbers in the CDN, similar to standard product codes, with extensions including attributes in the actual environment, such as latitude and longitude.
This is a standard hierarchy (columns A-D) that defines a disk or mount point, but does not have the notion of a pathname (e.g., C: ProgamFiles) because the hierarchy strings of folders are not easily queried by SQL. In the present invention, pathnames are derived from numerology, with columns E-H corresponding to a single folder in a traditional hierarchy.
Since folders are descendent and the name space is virtual, the cabinet concept can also be extended to contain individual sections in the media stream. For example, if 200 ten thousand cameras are supported and the video is stored for one month, averaging 14 seconds per video segment, there are 4000 billion unique pathnames, at least an order of magnitude greater than the prior art.
In conjunction with a widely distributed CDN, the locker model system also means that all storage can be addressed directly from any cloud server.
A cabinet administrator controls the cabinet through the physical networking equipment, and the plurality of cabinets form a cabinet group. The cabinet stores a plurality of files, the files are composed of sections, the sections span a plurality of files, the files are composed of sections, and the sections span a plurality of files. The system structure is completely universal, the cost of creating the file is low, and the query is convenient and quick.
Cabinets provide storage space for several files, with cabinets prefixed with capital letters in storage space and cabinets prefixed with capital letters and numbers in POSIX name space as usual. For example, the camera metafolder has a prefix CM _, and the camera media stream has a prefix CF _.
The pathnames of objects differ from object to object as follows:
CF _ < fit > _< binding > is a media file
CEF _ < extid > _< fid > _ < cassette > is a media clip file
CER _ < extid > _ now < fid > _ cabinet > is a time range file
CM _ < folder > is a folder
< fid > is an 8-bit hexadecimal number in the Linux epoch format. < extid > is a 12-bit hexadecimal number that also contains 1/65536 at a second granularity for uniqueness.
Thus, all entries in the namespace represent the physical location of the cabinet (including the 3D location), plus a timestamp. All entities are directly represented in space/time due to the internet of things. The file is conveniently identified. All entries of the storage space represent the physical location of the cabinet, determining the uniqueness of the cabinet.
As shown in fig. 5, the process of creating an NVR (network video recorder) file includes the steps of:
the NVR is connected to a CDN (configuration delivery network) which provides the locker administrator.
2. The cabinet administrator corresponds to 4 cloud servers of 4 data centers and is defined as a cabinet group.
3. The media file is named according to the AZ (data center) and the time index where it is located, e.g., VF _1a2b3000_0_30_1_1_ 1.
4. The cabinet instance is derived from the file name.
5. The cabinet folders are automatically generated.
The process of reading an NVR file includes the steps of:
1. searching and reducing the range of the video source to be searched through the position information and the time range information of the camera.
2. Cabinet manager looks up master cabinet instances in its cabinet group
3. The disk is searched through opt | az | reg | seg, where opt is type, az is available area, reg is area, and seg is sector.
4. According to a storage path: area | zn | fl | cam | lat | in | c1| c2| router looks up the folder. Where area is a region, zn | is a region, fl is mature, cam is a camera number, lat is longitude, in is latitude, c1 is a filter type, c2 is a graphical interface filter type, and router is a router.
5. The namespace includes a data center unique identification and a time index.
6. And if the NVR is not available, automatically switching to the next available data center defined in the cabinet group, and repeating the step 4.
Presetting a rule: the cabinet administrator is represented in the table by each column, as shown in FIG. 2, with row 3 showing an example cabinet administrator. The latitude/longitude and elevation of the camera are specified by columns I, J and G. The GPU and GUI classes are represented by columns K and L. The parent meta-disk is represented by columns A-D. Constituting the use of the cabinet administrator in the form. The cabinet manager defines the configuration definition of an internet of things device (such as a camera) and the data storage in the primary position and the backup position of the data center. Fig. 1 shows an example of an apparatus, in which opt (type) is cam, az (available area) is 0, reg (area) is 1, sect (sector) is 1, area (area) is 1, zone (area) is 1, floor (layer number) is 1, cam (camera number) is 1, lat (longitude) is 34.2540882, ln (latitude) is 108.9423662, c1 (filter type) is g (gpu), c2 (graphical interface filter type) is face (human face), and router, nid (server id) and slot (disk slot) information.
Files can be stored in the cabinet group by spanning 4 data centers, and the cabinet group allows the file data centers to store the files. As shown in fig. 3, rows 3-6 define an area, represented as 4 availability areas (column B). The cabinet instance for camera rights is defined at line 8 with a main reliable zone (line 8, column B) of 0 and alternate zones defined at lines 4-6.
The section file refers to an invisible section file, the invisible section file can be coded, the file can be composed of sections, and the sections can span different original files of the file. For example, "VER _1a2b3000_1ac2s4000_0_30_1_1_ 1" is a time range that spans 3 video files, spanning 2 data centers. Typically, the time range will be chosen to be a short period, not spanning multiple files, but the architecture is fully generic. When inquiry access is carried out, the files of the invisible sections are automatically presented, so that the files are automatically generated, and the files of the invisible sections are automatically presented.
The locker is derived from the pathname of the file and automatically creates a folder when creating the first media file, as shown in fig. 4, the locker administrator (5.1) corresponds to a maximum of 4 sector level disks and a maximum of 4 data centers (5.2). Copying the directory structure would be cumbersome and costly.
The cabinet instance (5.1) may be derived from the file path name (5.4) as may the cabinet folder name (5.5). The folder is automatically created when the first media file is created. The management cost is low, and implicit creation is realized.
The files are connected with any number of configuration distribution network services, and the reliability of the file connection is high.
Configuring the distribution network server means that the physical networked device being recorded provides the manager teller service, ensuring that the recording is continuous without error in case of loss of the entire data center.
The file generation step comprises the following steps: as shown in figures 4 and 6 of the drawings,
the S101 file is connected to any number of configuration distribution networks.
S102 configures a distribution network to provide a maximum of 4 cloud disks on a cloud server.
S103, file creation is carried out, the cloud server fails, the cloud server is switched to another server, and a new file is created.
S104 continues with S101-S103. File generation continues to run without reporting errors, and reliability is improved by one order of magnitude without the entire data center.
The above description is only for the preferred embodiment of the present invention, and is not intended to limit the scope of the present invention. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention shall fall within the protection scope of the present invention.

Claims (10)

1. A data cloud's cabinet model system which characterized in that:
s100, the searching device sends a request for searching target data to a configuration distribution network; the searching device is used for sending a request for searching target data, and the configuration distribution network is used for providing a service for searching the target data for the searching device;
s110, the configuration distribution network obtains configuration information of the target data through a cabinet manager, the cabinet model system comprises a cabinet manager, and the cabinet manager is used for calling the configuration information of the target data; the configuration information is a storage location of the target data in the cabinet model system;
s120, generating a file path according to the configuration information;
s130, the cabinet administrator obtains a current cloud data server according to the configuration information, if the current cloud data server is unavailable, namely the current cloud data server cannot call the configuration information, the cabinet administrator automatically obtains a next cloud data server until the cabinet administrator obtains the available cloud data server, and the cloud data server is used for providing a service for calling the configuration information;
s140, the cloud data server finds a cabinet corresponding to the target data storage, wherein the cabinet is a hard disk slot used for storing the target data, and the hard disk slot has uniquely determined physical position information; the physical position information is used for providing the specific position of the hard disk card slot;
s150, calculating the attribute of the searching device, the physical position information and the file path by using a preset rule to generate a file name, creating a folder by using the file name, and storing the target data in the folder; the file name includes an attribute of a search device, the physical location information, and the file path, and the preset rule is configured to generate a uniquely determined file name according to the attribute of the search device, the physical location information, and the file path.
2. The data cloud cabinet model system of claim 1, wherein: the searching device can be any one of an internet of things device or a non-network searching device.
3. The data cloud cabinet model system of claim 1, wherein: the configuration information includes information of the type, number, filter type, graphical interface filter type, physical location, router, server, and disk slot of the target data.
4. The data cloud cabinet model system of claim 1, wherein: the physical location information is area information of a storage location where the target data is located, and the physical location information includes an available area, an area, a sector, a floor number, a region, a longitude, and a latitude.
5. The data cloud cabinet model system of claim 1, wherein: the cabinet stores a number of the files, the files being comprised of sections, the sections spanning a number of the files.
6. The data cloud cabinet model system of claim 1, wherein: the cabinet provides storage space for a plurality of the files, and the cabinet is prefixed with capital letters in the storage space.
7. The data cloud cabinet model system of claim 6, wherein: all entries of the storage space represent the physical location of the cabinet.
8. The data cloud cabinet model system of claim 1, wherein: the files may be stored across 4 data centers in the cabinet group.
9. The data cloud cabinet model system of claim 1, wherein: the section file is an invisible section file, the invisible section file can be coded, and when inquiry access is carried out, the invisible section file is automatically presented.
10. The data cloud cabinet model system of claim 1, wherein: the file connects to any number of configuration distribution networks.
CN202010163225.4A 2020-03-10 2020-03-10 Cabinet model system of data cloud Active CN111367866B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202010163225.4A CN111367866B (en) 2020-03-10 2020-03-10 Cabinet model system of data cloud

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202010163225.4A CN111367866B (en) 2020-03-10 2020-03-10 Cabinet model system of data cloud

Publications (2)

Publication Number Publication Date
CN111367866A true CN111367866A (en) 2020-07-03
CN111367866B CN111367866B (en) 2022-02-08

Family

ID=71207346

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202010163225.4A Active CN111367866B (en) 2020-03-10 2020-03-10 Cabinet model system of data cloud

Country Status (1)

Country Link
CN (1) CN111367866B (en)

Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103237046A (en) * 2013-02-25 2013-08-07 中国科学院深圳先进技术研究院 Distributed file system supporting mixed cloud storage application and realization method thereof
CN103297496A (en) * 2012-03-02 2013-09-11 国际商业机器公司 Method and system of enhanced storage quota management for cloud computing system
US20130238553A1 (en) * 2010-10-28 2013-09-12 Sk Telecom Co., Ltd. Cloud computing system and data synchronization method
CN104618482A (en) * 2015-02-02 2015-05-13 浙江宇视科技有限公司 Cloud data access method, server, traditional storage device and architecture
CN105095103A (en) * 2015-08-25 2015-11-25 曙光云计算技术有限公司 Storage device management method and device used for cloud environment
CN108431763A (en) * 2016-03-10 2018-08-21 微软技术许可有限责任公司 Pass through the multiple cloud storage devices of network service management
CN109271113A (en) * 2018-09-28 2019-01-25 武汉烽火众智数字技术有限责任公司 A kind of data management system and method based on cloud storage

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20130238553A1 (en) * 2010-10-28 2013-09-12 Sk Telecom Co., Ltd. Cloud computing system and data synchronization method
CN103297496A (en) * 2012-03-02 2013-09-11 国际商业机器公司 Method and system of enhanced storage quota management for cloud computing system
CN103237046A (en) * 2013-02-25 2013-08-07 中国科学院深圳先进技术研究院 Distributed file system supporting mixed cloud storage application and realization method thereof
CN104618482A (en) * 2015-02-02 2015-05-13 浙江宇视科技有限公司 Cloud data access method, server, traditional storage device and architecture
CN105095103A (en) * 2015-08-25 2015-11-25 曙光云计算技术有限公司 Storage device management method and device used for cloud environment
CN108431763A (en) * 2016-03-10 2018-08-21 微软技术许可有限责任公司 Pass through the multiple cloud storage devices of network service management
CN109271113A (en) * 2018-09-28 2019-01-25 武汉烽火众智数字技术有限责任公司 A kind of data management system and method based on cloud storage

Also Published As

Publication number Publication date
CN111367866B (en) 2022-02-08

Similar Documents

Publication Publication Date Title
US11330055B2 (en) Data retrieval in a hybrid cloud
US8255420B2 (en) Distributed storage
CN100399327C (en) Managing file system versions
US8762353B2 (en) Elimination of duplicate objects in storage clusters
CN104813321B (en) The content and metadata of uncoupling in distributed objects store the ecosystem
US8095558B2 (en) System for logging and reporting access to content using unique content identifiers
US9049484B2 (en) Efficient assignment of program copies in a network digital video recorder
JP5918243B2 (en) System and method for managing integrity in a distributed database
US8171065B2 (en) Relational objects for the optimized management of fixed-content storage systems
US10210192B2 (en) Capacity accounting for heterogeneous storage systems
JP5584910B2 (en) Distributed storage
CN104424283A (en) Data migration system and data migration method
US20070094269A1 (en) Systems and methods for distributed system scanning
US10917260B1 (en) Data management across cloud storage providers
US9031906B2 (en) Method of managing data in asymmetric cluster file system
US20110295914A1 (en) Storage system
KR100946986B1 (en) File storage system and method for managing duplicated files in the file storage system
JP2013544386A5 (en)
CN104050102A (en) Object storing method and device in telecommunication system
CN111367866B (en) Cabinet model system of data cloud
US11533377B2 (en) Hybrid cloud
CN115955581A (en) Real-time video processing method, device, equipment and storage medium
CN115756955A (en) Data backup and data recovery method and device and computer equipment
US20220405415A1 (en) Hybrid cloud
EP1860846A1 (en) Distributed storage

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant
PE01 Entry into force of the registration of the contract for pledge of patent right
PE01 Entry into force of the registration of the contract for pledge of patent right

Denomination of invention: A Cabinet Model System of Data Cloud

Effective date of registration: 20221207

Granted publication date: 20220208

Pledgee: Xianyang financing guarantee Limited by Share Ltd.

Pledgor: Xi'an Okayun Data Technology Co.,Ltd.

Registration number: Y2022610000796

PC01 Cancellation of the registration of the contract for pledge of patent right
PC01 Cancellation of the registration of the contract for pledge of patent right

Date of cancellation: 20231206

Granted publication date: 20220208

Pledgee: Xianyang financing guarantee Limited by Share Ltd.

Pledgor: Xi'an Okayun Data Technology Co.,Ltd.

Registration number: Y2022610000796

PE01 Entry into force of the registration of the contract for pledge of patent right
PE01 Entry into force of the registration of the contract for pledge of patent right

Denomination of invention: A Cabinet Model System for Data Cloud

Effective date of registration: 20231211

Granted publication date: 20220208

Pledgee: Xianyang financing guarantee Limited by Share Ltd.

Pledgor: Xi'an Okayun Data Technology Co.,Ltd.

Registration number: Y2023610000758