CN108196797A - A kind of data processing system based on cloud computing - Google Patents
A kind of data processing system based on cloud computing Download PDFInfo
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- CN108196797A CN108196797A CN201810076931.8A CN201810076931A CN108196797A CN 108196797 A CN108196797 A CN 108196797A CN 201810076931 A CN201810076931 A CN 201810076931A CN 108196797 A CN108196797 A CN 108196797A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0668—Interfaces specially adapted for storage systems adopting a particular infrastructure
- G06F3/067—Distributed or networked storage systems, e.g. storage area networks [SAN], network attached storage [NAS]
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0602—Interfaces specially adapted for storage systems specifically adapted to achieve a particular effect
- G06F3/0604—Improving or facilitating administration, e.g. storage management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0602—Interfaces specially adapted for storage systems specifically adapted to achieve a particular effect
- G06F3/0625—Power saving in storage systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0628—Interfaces specially adapted for storage systems making use of a particular technique
- G06F3/0653—Monitoring storage devices or systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/06—Digital input from, or digital output to, record carriers, e.g. RAID, emulated record carriers or networked record carriers
- G06F3/0601—Interfaces specially adapted for storage systems
- G06F3/0628—Interfaces specially adapted for storage systems making use of a particular technique
- G06F3/0662—Virtualisation aspects
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- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention discloses a kind of data processing system based on cloud computing, including cloud computing center, user terminal, administrator terminal and the backup server for data backup for being used to acquire the extensive data acquisition unit for perceiving source traffic, receive the data for handling and storing data acquisition unit.The present invention passes through processing of the data processing server to gathered data, filter out the data that this node is responsible for processing, reduce data processing overheads, simultaneously so that data processing localization, reducing the data transfer overhead between node reduces storage energy consumption, the isomerism having for the mass data acquired in cloud computing, it is uncertain, the features such as high data flow, three layer datas that data are acquired using database server are stored, improve the scalability and fault-tolerance of data storage, data processing system is suitable for the data acquisition demand of different user, with very strong applicability, it is applied widely.
Description
Technical field
The invention belongs to data processing system technical fields, and in particular to a kind of data processing system based on cloud computing.
Background technology
With the development of computer technology and society, it is in a very huge data group with the world.Tradition
Data processing mode be using the very strong mainframe and relevant database of processing capacity, storage mode is all to store it
Onto the mainframe with very big disk size, although the memory capacity of disk is continuously increased in recent years, its access speed
But fail to grow with each passing hour, therefore various database manufacturers have to develop the database of a new generation to meet choosing for big data
War.The problems such as in view of capacity and parallel processing, has expert to propose to establish distributed data base, and profit using distributed computing technology
Mass data is stored with cluster mode, cloud computing technology has good application herein.
The data handled under cloud computing environment are different from traditional data, and the mass data acquired in cloud computing has different
The features such as structure, uncertainty, high data flow, in the data processing system based on cloud computing, the scalability of data storage,
Fault-tolerance and storage can consume energy etc. there are it is certain the problem of, while with the surge of number of users, due to different industries
Different user different demands it is more and more, all kinds of big data resources constantly expand resources bank, how to cope on network
Increasingly increased request of data the problems such as facing challenges when being current data processing.
Invention content
The present invention provides a kind of data processing system based on cloud computing, can solve the above problems.
A kind of data processing system based on cloud computing acquires the extensive data acquisition for perceiving source traffic including being used for
Unit, receive the cloud computing center of data for handling and storing the data acquisition unit, user terminal, administrator terminal and
For the backup server of data backup；
The data acquisition unit includes sensor node, RF Reader and the camera shooting for collecting video data stream
Head；
The cloud computing center includes central control server, the data for being acquired to the data acquisition unit carry out
The database service that the data processing server of processing, the data for handling the data processing server are stored
The data management server and application interface that device, the data for being stored to the database server are managed；
The application interface includes bluetooth communication, Wi-Fi communication modules and network communication module；
When the data processing server handles data, under Hadoop cloud Computational frame, by preprocessed data
Distributed buffer receives to each node redundancy data flow, node filters out this node in the Map stages and is responsible for processing in each node
Data, and carry out on local cache the calculating in Reduce stages, to the result of calculation in Reduce stages on local storage
Intermediate result Packet Multiplexing is carried out, local computing result is finally synchronized to distributed storage area, when the local of known node is counted
It, can be on newly-increased node by repartitioning and mobile caching number when real-time demand cannot be met by calculating and be locally stored resource
According to being extended.
The database server includes three layer data storage units, centralized storage scheduling unit, storage state monitoring list
Member, Storage Virtualization unit and accumulation layer-management level interface unit, the three layer datas storage unit include for storing and
The intermediate result being respectively grouped that dynamic updates the data of the data acquisition unit acquisition and the data processing server calculates
The first data Layer, for storing and dynamic updates the second data of the final data processed result of the data processing server
Layer needs the data for developing into historical summary and then historical data is stored and more for being stripped out from the second data Layer
New third data Layer, the centralized storage scheduling unit dispatch three number of plies respectively according to the instruction of central control server
According to the data acquisition system in storage unit, and the data consistency of the first data Layer and the second data Layer in scheduling process is kept, institute
Storage state monitoring unit to be stated to be monitored the storage state of data, the Storage Virtualization unit utilizes virtualization technology,
Realize that the computing resource of data mining cloud service is independently dynamically distributed and dispatched, the accumulation layer-management level interface unit is realized
The data interaction of the database server and data management server；
The cloud computing center respectively with data acquisition unit, user terminal, administrator terminal and backup server phase
Even；
Central control server inside the cloud computing center respectively with the application interface, data processing server,
Database server and data management server are connected.
Preferably, the data acquisition unit passes through wireless network connection to the data processing server；The backup
Server is connected respectively with the database server and data management server；The administrator terminal is controlled with the center
Server is connected；The user terminal is connected by the application interface with the central control server.
Preferably, the data processing system further includes the backup stored for the data to the backup server
Memory, the backup of memory are connected with the backup server.
Preferably, the user terminal and administrator terminal are notebook, mobile phone, tablet computer.
Preferably, the backup of memory is mobile hard disk, computer, USB flash disk or other storage devices.
The beneficial effects of the invention are as follows：A kind of data processing system based on cloud computing provided by the invention, by described
Processing of the data processing server to gathered data filters out the data that this node is responsible for processing, reduces each gathered data and arrive
Up to, to the reprocessing expense of already existing historical data, while so that data processing is local during the data processing server
Change, reducing the data transfer overhead between node reduces storage energy consumption, has for the mass data acquired in cloud computing
The features such as isomerism, uncertainty, high data flow, three layer datas that data are acquired using the database server are deposited
Storage improves the scalability and fault-tolerance of data storage, and back-up processing is carried out to system data using the backup server,
The loss of vital data of data processing system is prevented, ensures the restorability of data processing system, the data processing system is fitted
For the data acquisition demand of different user, there is very strong applicability, it is applied widely.
Description of the drawings
In order to illustrate more clearly about the embodiment of the present invention or technical scheme of the prior art, to embodiment or will show below
There is attached drawing needed in technology description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention, for those of ordinary skill in the art, without creative efforts, can be with
Other attached drawings are obtained according to these attached drawings.
Fig. 1 is a kind of overall structure diagram of the data processing system based on cloud computing provided in an embodiment of the present invention；
Fig. 2 is that a kind of data store organisation of data processing system based on cloud computing provided in an embodiment of the present invention is illustrated
Figure；
Fig. 3 is real time data processing structure diagram provided in an embodiment of the present invention.
Reference sign：
1- data acquisition units, 2- central control servers, 3- data processing servers, 4- database servers, 5- numbers
According to management server, 6- user terminals, 7- administrator terminals, 8- backup servers, 9- backup of memory, 10- application interfaces.
Specific embodiment
Below in conjunction with the attached drawing in the embodiment of the present invention, the technical solution in the embodiment of the present invention is carried out clear, complete
Site preparation describes, it is clear that described embodiment is only part of the embodiment of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained every other without making creative work
Embodiment shall fall within the protection scope of the present invention.
As shown in Figure 1 to Figure 3, a kind of data processing system based on cloud computing acquires extensive perception source including being used for
The data acquisition unit 1 of data flow, the cloud computing center for receiving the data for handling and storing the data acquisition unit 1, user
Terminal 6, administrator terminal 7 and the backup server 8 for data backup；
The data acquisition unit 1 includes sensor node, RF Reader and for collecting taking the photograph for video data stream
As head；
The cloud computing center include central control server 2, for the data that the data acquisition unit 1 acquires into
The database clothes that the data processing server 3 of row processing, the data for handling the data processing server 3 are stored
The data management server 5 and application interface that business device 4, the data for being stored to the database server 4 are managed
10；
The application interface 10 includes bluetooth communication, Wi-Fi communication modules and network communication module；
When the data processing server 3 handles data, under Hadoop cloud Computational frame, by preprocessed data
Distributed buffer receives to each node redundancy data flow, node filters out this node in the Map stages and is responsible for processing in each node
Data, and carry out on local cache the calculating in Reduce stages, to the result of calculation in Reduce stages on local storage
Intermediate result Packet Multiplexing is carried out, local computing result is finally synchronized to distributed storage area, when the local of known node is counted
It, can be on newly-increased node by repartitioning and mobile caching number when real-time demand cannot be met by calculating and be locally stored resource
According to being extended.
The database server 4 includes three layer data storage units, centralized storage scheduling unit, storage state monitoring list
Member, Storage Virtualization unit and accumulation layer-management level interface unit, the three layer datas storage unit include for storing and
The intermediate knot being respectively grouped that dynamic updates the data of the acquisition of data acquisition unit 1 and the data processing server 3 calculates
The first data Layer of fruit updates the second of the final data processed result of the data processing server 3 for storage and dynamic
Data Layer needs the data for developing into historical summary and then historical data is stored for being stripped out from the second data Layer
With newer third data Layer, the centralized storage scheduling unit is according to the instruction of central control server 2 is dispatched respectively
Data acquisition system in three layer data storage units, and keep the data of the first data Layer and the second data Layer in scheduling process consistent
Property, the storage state monitoring unit is monitored the storage state of data, and the Storage Virtualization unit utilizes virtualization
Technology realizes that the computing resource of data mining cloud service is independently dynamically distributed and dispatched, the accumulation layer-management level interface unit
Realize the data interaction of the database server 4 and data management server 5；
The cloud computing center respectively with data acquisition unit 1, user terminal 6, administrator terminal 7 and backup server
8 are connected；
Central control server 2 inside the cloud computing center respectively with the application interface 10, data processing service
Device 3, database server 4 and data management server 5 are connected.
Preferably, the data acquisition unit 1 passes through wireless network connection to the data processing server 3；It is described standby
Part server 8 is connected respectively with the database server 4 and data management server 5；The administrator terminal 7 with it is described in
Heart control server 2 is connected；The user terminal 6 is connected by the application interface 10 with the central control server 2.
Preferably, the data processing system further include stored for the data to the backup server 8 it is standby
Part memory 9, the backup of memory 9 are connected with the backup server 8.
Preferably, the user terminal 6 and administrator terminal 7 are notebook, mobile phone, tablet computer.
Preferably, the backup of memory 9 is mobile hard disk, computer, USB flash disk or other storage devices.
In use, 1 acquired data storage of data acquisition unit is to the cloud computing center, the data processing service
The data that device 3 acquires the data acquisition unit 1 are handled, and the database server 4 is deposited using three layer data
Storage unit carries out bedding storage to the data that the data processing server 3 is handled, using the data management server 5 to institute
The data for stating the storage of database server 4 are managed collectively, when the central control server 2 receives administrator's end
During the operational order that end 7 is sent out, the central control server 2 calls the data resource stored in the database server 4
And the requested data of user are sent to different user terminals 6 by the application interface 10, the backup server 8 is to institute
State the data stored in database server 4 carry out backup prevent loss of data, improve storage data safety, work as generation
During loss of data, the data that the backup server 8 backs up are sent to the database clothes by the data management server 5
The storage for the progress data of device 4 of being engaged in.
A kind of data processing system based on cloud computing provided by the invention, by the data processing server 3 to adopting
Collect the processing of data, filter out the data that this node is responsible for processing, reduce each gathered data and reach the data processing service
To the reprocessing expense of already existing historical data during device 3, while cause data processing localization, reduce between node
Data transfer overhead reduces storage energy consumption, isomerism, uncertainty, the height having for the mass data acquired in cloud computing
The features such as data flow, three layer datas that data are acquired using the database server 4 are stored, and improve data storage
Scalability and fault-tolerance carry out back-up processing to system data using the backup server 8, prevent data processing system
Loss of vital data, ensures the restorability of data processing system, and the data processing system is suitable for the data of different user
Acquisition demand has very strong applicability, applied widely.
Obviously, various changes and modifications can be made to the invention without departing from essence of the invention by those skilled in the art
God and range.In this way, if these modifications and changes of the present invention belongs to the range of the claims in the present invention and its equivalent technologies
Within, then the present invention is also intended to include these modifications and variations.
Claims (4)
1. a kind of data processing system based on cloud computing, which is characterized in that acquire extensive perception source traffic including being used for
Data acquisition unit (1), to receive the cloud computing center of data for handling and storing the data acquisition unit (1), user whole
Hold (6), administrator terminal (7) and the backup server (8) for data backup；
The data acquisition unit (1) includes sensor node, RF Reader and camera shooting for collecting video data stream
Head；
The cloud computing center include central control server (2), for the data that the data acquisition unit (1) acquires into
The data that the data processing server (3) of row processing, the data for handling the data processing server (3) are stored
The data management server (5) that library server (4), the data for being stored to the database server (4) are managed with
And application interface (10)；
The application interface (10) includes bluetooth communication, Wi-Fi communication modules and network communication module；
When the data processing server (3) handles data, under Hadoop cloud Computational frame, by preprocessed data point
Cloth is cached in each node, receives to each node redundancy data flow, and node filters out this node in the Map stages and is responsible for processing
Data, and carry out on local cache the calculating in Reduce stages, to the result of calculation in Reduce stages on local storage into
Row intermediate result Packet Multiplexing, is finally synchronized to distributed storage area by local computing result；
The database server (4) is single including three layer data storage units, centralized storage scheduling unit, storage state monitoring
Member, Storage Virtualization unit and accumulation layer-management level interface unit, the three layer datas storage unit include for storing and
Dynamic updates the data of the data acquisition unit (1) acquisition and what the data processing server (3) calculated is respectively grouped
Between result the first data Layer, for store and dynamic update the final data processed result of the data processing server (3)
The second data Layer, for stripped out from the second data Layer need the data for developing into historical summary so as to historical data into
Row storage and newer third data Layer, the centralized storage scheduling unit are distinguished according to the instruction of central control server (2)
The data acquisition system in the three layer datas storage unit is dispatched, and keeps the first data Layer and the second data Layer in scheduling process
Data consistency, the storage state monitoring unit are monitored the storage state of data, the Storage Virtualization unit profit
With virtualization technology, realize that the computing resource of data mining cloud service is independently dynamically distributed and dispatched, the accumulation layer-management level
Interface unit realizes the database server (4) and the data interaction of data management server (5)；
The cloud computing center respectively with data acquisition unit (1), user terminal (6), administrator terminal (7) and backup services
Device (8) is connected；
Central control server (2) inside the cloud computing center respectively with the application interface (10), data processing service
Device (3), database server (4) and data management server (5) are connected.
2. a kind of data processing system based on cloud computing as described in claim 1, which is characterized in that the data acquisition is single
First (1) passes through wireless network connection to the data processing server (3)；The backup server (8) respectively with the data
Library server (4) is connected with data management server (5)；The administrator terminal (7) and the central control server (2) phase
Even；The user terminal (6) is connected by the application interface (10) with the central control server (2).
3. a kind of data processing system based on cloud computing as described in claim 1, which is characterized in that further include for institute
State the backup of memory (9) that the data of backup server (8) are stored, the backup of memory (9) and the backup services
Device (8) is connected.
A kind of 4. data processing system based on cloud computing as described in claim 1, which is characterized in that the user terminal
(6) and administrator terminal (7) is notebook, mobile phone, tablet computer.
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| CN201810076931.8A CN108196797B (en) | 2018-01-26 | 2018-01-26 | Data processing system based on cloud computing |
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| CN201810076931.8A CN108196797B (en) | 2018-01-26 | 2018-01-26 | Data processing system based on cloud computing |
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Cited By (3)
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| CN112699101A (en) * | 2021-01-18 | 2021-04-23 | 深圳市至简科技设计有限公司 | Server system based on storage and processing |
| CN112925619A (en) * | 2021-02-24 | 2021-06-08 | 深圳依时货拉拉科技有限公司 | Big data real-time computing method and platform |
| CN115001895A (en) * | 2022-05-25 | 2022-09-02 | 西安微电子技术研究所 | Data sharing device, system and method of satellite-borne heterogeneous system based on SPACEWIRE bus |
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