CN107872539A - A kind of data handling system and method based on cloud computing platform - Google Patents
A kind of data handling system and method based on cloud computing platform Download PDFInfo
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- CN107872539A CN107872539A CN201711348845.XA CN201711348845A CN107872539A CN 107872539 A CN107872539 A CN 107872539A CN 201711348845 A CN201711348845 A CN 201711348845A CN 107872539 A CN107872539 A CN 107872539A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1029—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers using data related to the state of servers by a load balancer
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
- H04L67/1031—Controlling of the operation of servers by a load balancer, e.g. adding or removing servers that serve requests
Abstract
The invention discloses a kind of data handling system and method based on cloud computing platform.It is related to data handling system and the method and technology field of cloud computing platform.Including cloud computing platform, client；Cloud computing platform includes processor cluster, server cluster, cloud storage node, load equalizer；Client is communicated to connect by Ethernet and cloud computing platform；Processor cluster includes some clouds processing node；Any two clouds processing inter-node communication connection；Server cluster includes some cloud computing nodes；Communicated to connect between any two cloud computing node；Cloud storage node communicates to connect with processor cluster, server cluster respectively.The present invention handles informational table of nodes, cloud computing node information table by being provided with cloud in load equalizer, realize and cloud processing node, the monitoring of cloud computing node and the optimization of data are distributed, solve the problems, such as load balancing difference of the existing cloud computing platform to data processing.
Description
Technical field
The invention belongs to the technical field of data processing of cloud computing platform, more particularly to a kind of based on cloud computing platform
Data handling system and a kind of data processing method based on cloud computing platform.
Background technology
Data processing is the technical process that data (including numerical value and nonnumeric) are analyzed and processed.Including right
The processing and processing of the analyses of various initial data, arrangement, calculating, editor etc..It is wider than data analysis implication.With computer
Become increasingly popular, in computer application field, numerical computations proportion very little, message tube is carried out by computer digital animation
Reason turns into main application.Such as surveying and mapping management, storehouse management, treasure and accounting management, traffic management, technical information pipe
Reason, office automation etc..(soil, water, weather, biology etc. are all kinds of for existing a large amount of natural environment data in terms of geodata
Resource data), also there are a large amount of socioeconomic datas (population, traffic, industrial or agricultural etc.), often require to carry out aggregate data processing.
With the development of technology of Internet of things, cloud computing technology, big data technology；How data processing is also faced with to processing
The problem of device load balance optimization.This invention address that invention a kind of data handling system and method based on cloud computing platform,
Solve the problems, such as load balancing difference of the existing cloud computing platform to data processing.
The content of the invention
It is equal by loading it is an object of the invention to provide a kind of data handling system and method based on cloud computing platform
Cloud processing informational table of nodes, cloud computing node information table are provided with weighing apparatus, realizes the prison to cloud processing node, cloud computing node
Control and the optimization of data distribute, and solve the problems, such as load balancing difference of the existing cloud computing platform to data processing.
In order to solve the above technical problems, the present invention is achieved by the following technical solutions：
The present invention is a kind of data handling system based on cloud computing platform, including cloud computing platform, client；The cloud
Calculating platform includes processor cluster, server cluster, cloud storage node, load equalizer；The client passes through Ethernet
Communicated to connect with cloud computing platform；The processor cluster includes some clouds processing node；Between any two cloud processing node
Communication connection；The server cluster includes some cloud computing nodes；Communicated to connect between any two cloud computing node；It is described
Cloud storage node communicates to connect with processor cluster, server cluster respectively；The load equalizer respectively with processor cluster,
Server cluster communicates to connect；The processor cluster is connected with server cluster by ethernet communication；The load balancing
Device memory storage cloud processing informational table of nodes, cloud computing node information table；The cloud processing informational table of nodes includes cloud processing node
IP, bearer cap, remaining treating capacity；The cloud computing node information table includes Cloud Server node IP, cpu busy percentage；It is described
Load equalizer handles informational table of nodes according to cloud and transmits data to cloud processing node or cloud computing node；The cloud handles node
Interior ETL processors are to data processing；Data of the ETL processors transmission after processing are to cloud computing node, cloud storage node；
The cloud computing node obtains data in cloud processing node or obtains data in cloud storage node or directly obtain client data.
A kind of method of the data processing based on cloud computing platform, including step are as follows：
A000：Cloud computing platform obtains client data；
A001：Load equalizer handles informational table of nodes according to cloud and judges whether that remaining treating capacity is less than bearer cap
Cloud processing node；If in the presence of performing A002；If being not present, A005 is performed,
A002：Then load equalizer control transmits client data to cloud and handles node；
A003：Cloud processing node processing client transmits data；
A004：Data are to cloud storage node or server cluster medium cloud after cloud processing node is handled according to data type delivery
Calculate node；
A005：Load equalizer selects to transmit client data to cloud computing node according to cloud computing node information table.
Preferably, load equalizer control transmission client data is as follows to cloud processing node step in A002：
B000：Load balancing processor handles informational table of nodes according to cloud and judges whether that idle cloud handles node；If
In the presence of then performing B001；If being not present, B002 is performed；
B001：Load equalizer transmits client data to any one idle cloud processing node；Cloud processing node performs
B003；
B002：Load equalizer transmits client data to remaining treating capacity from cloud processing informational table of nodes and accounts for bearer cap
The minimum cloud processing node of ratio；Cloud processing node performs B003；
B003：Cloud processing node transmits remaining treating capacity to load equalizer；
B004：Load equalizer renewal cloud processing informational table of nodes.
Preferably, remaining treating capacity is transmitted to load equalizer after the completion of A003 medium clouds processing node processing；The load
Equalizer updating cloud handles informational table of nodes.
Preferably, load equalizer transmission client data is as follows to cloud computing node step in A005：
C000：Load balancing processor judges whether idle cloud computing node according to cloud computing node information table；If
In the presence of then performing C001；If being not present, C002 is performed；
C001：Load equalizer transmits client data to any one idle cloud computing node；Cloud computing node performs
C003；
C002：Load equalizer transmits client data to the minimum cloud meter of cpu busy percentage from cloud computing node information table
Operator node；Cloud computing node performs C003；
C003：Cloud computing node transmits remaining treating capacity to load equalizer；
C004：Load equalizer updates cloud computing node information table.
The invention has the advantages that：
Cloud processing informational table of nodes, cloud computing node information table are provided with load equalizer of the present invention, is realized at cloud
Node, the monitoring of cloud computing node and the optimization of data distribution are managed, solves load of the existing cloud computing platform to data processing
The problem of balanced poor, improve the load-balancing performance and cloud computing node computational efficiency of cloud computing platform.
Certainly, any product for implementing the present invention it is not absolutely required to reach all the above advantage simultaneously.
Brief description of the drawings
In order to illustrate the technical solution of the embodiments of the present invention more clearly, used required for being described below to embodiment
Accompanying drawing is briefly described, it should be apparent that, drawings in the following description are only some embodiments of the present invention, for ability
For the those of ordinary skill of domain, on the premise of not paying creative work, it can also be obtained according to these accompanying drawings other attached
Figure.
Fig. 1 is a kind of structural representation of data handling system based on cloud computing platform of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme 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, rather than whole embodiments.It is based on
Embodiment in the present invention, those of ordinary skill in the art are obtained all other under the premise of creative work is not made
Embodiment, belong to the scope of protection of the invention.
Refer to shown in Fig. 1, the present invention is a kind of data handling system based on cloud computing platform, including cloud computing is put down
Platform, client；Cloud computing platform includes processor cluster, server cluster, cloud storage node, load equalizer；Client is led to
Ethernet is crossed to communicate to connect with cloud computing platform；Processor cluster includes some clouds processing node；Between any two clouds processing node
Communication connection；Server cluster includes some cloud computing nodes；Communicated to connect between any two cloud computing node；Cloud storage node point
Do not communicated to connect with processor cluster, server cluster；Load equalizer respectively with processor cluster, server cluster communication link
Connect；Processor cluster is connected with server cluster by ethernet communication；Load equalizer memory storage cloud processing informational table of nodes,
Cloud computing node information table；Cloud processing informational table of nodes includes cloud processing node IP, bearer cap, remaining treating capacity；Cloud computing
Informational table of nodes includes Cloud Server node IP, cpu busy percentage；Load equalizer handles informational table of nodes according to cloud and transmits data
Node or cloud computing node are handled to cloud；ETL processors are to data processing in cloud processing node；The transmission of ETL processors is through processing
Data afterwards are to cloud computing node, cloud storage node；Cloud computing node obtains data in cloud processing node or obtains cloud storage section
Data or client data is directly obtained in point.
A kind of method of the data processing based on cloud computing platform, including step are as follows：
A000：Cloud computing platform obtains client data；
A001：Load equalizer handles informational table of nodes according to cloud and judges whether that remaining treating capacity is less than bearer cap
Cloud processing node；If in the presence of performing A002；If being not present, A005 is performed,
A002：Then load equalizer control transmits client data to cloud and handles node；
A003：Cloud processing node processing client transmits data；
A004：Data are to cloud storage node or server cluster medium cloud after cloud processing node is handled according to data type delivery
Calculate node；
A005：Load equalizer selects to transmit client data to cloud computing node according to cloud computing node information table.
Wherein, load equalizer control transmission client data is as follows to cloud processing node step in A002：
B000：Load balancing processor handles informational table of nodes according to cloud and judges whether that idle cloud handles node；If
In the presence of then performing B001；If being not present, B002 is performed；
B001：Load equalizer transmits client data to any one idle cloud processing node；Cloud processing node performs
B003；
B002：Load equalizer transmits client data to remaining treating capacity from cloud processing informational table of nodes and accounts for bearer cap
The minimum cloud processing node of ratio；Cloud processing node performs B003；
B003：Cloud processing node transmits remaining treating capacity to load equalizer；
B004：Load equalizer renewal cloud processing informational table of nodes.
Wherein, remaining treating capacity is transmitted to load equalizer after the completion of A003 medium clouds processing node processing；Load equalizer
Update cloud processing informational table of nodes.
Wherein, load equalizer transmission client data is as follows to cloud computing node step in A005：
C000：Load balancing processor judges whether idle cloud computing node according to cloud computing node information table；If
In the presence of then performing C001；If being not present, C002 is performed；
C001：Load equalizer transmits client data to any one idle cloud computing node；Cloud computing node performs
C003；
C002：Load equalizer transmits client data to the minimum cloud meter of cpu busy percentage from cloud computing node information table
Operator node；Cloud computing node performs C003；
C003：Cloud computing node transmits remaining treating capacity to load equalizer；
C004：Load equalizer updates cloud computing node information table.
It is worth noting that, in said system embodiment, included unit is simply drawn according to function logic
Point, but above-mentioned division is not limited to, as long as corresponding function can be realized；In addition, each functional unit is specific
Title is also only to facilitate mutually distinguish, the protection domain being not intended to limit the invention.
In addition, one of ordinary skill in the art will appreciate that realize all or part of step in the various embodiments described above method
It is that by program the hardware of correlation can be instructed to complete, corresponding program can be stored in a computer-readable storage and be situated between
In matter, described storage medium, such as ROM/RAM, disk or CD.
Present invention disclosed above preferred embodiment is only intended to help and illustrates the present invention.Preferred embodiment is not detailed
All details are described, it is only described embodiment also not limit the invention.Obviously, according to the content of this specification,
It can make many modifications and variations.This specification is chosen and specifically describes these embodiments, is to preferably explain the present invention
Principle and practical application so that skilled artisan can be best understood by and utilize the present invention.The present invention is only
Limited by claims and its four corner and equivalent.
Claims (5)
1. a kind of data handling system based on cloud computing platform, it is characterised in that including cloud computing platform, client；
The cloud computing platform includes processor cluster, server cluster, cloud storage node, load equalizer；The client
Communicated to connect by Ethernet and cloud computing platform；
The processor cluster includes some clouds processing node；Any two cloud processing inter-node communication connection；The service
Device cluster includes some cloud computing nodes；Communicated to connect between any two cloud computing node；The cloud storage node respectively with
Processor cluster, server cluster communication connection；The load equalizer respectively with processor cluster, server cluster communication link
Connect；The processor cluster is connected with server cluster by ethernet communication；
The load equalizer memory storage cloud processing informational table of nodes, cloud computing node information table；The cloud handles nodal information
Table includes cloud processing node IP, bearer cap, remaining treating capacity；The cloud computing node information table includes Cloud Server node
IP, cpu busy percentage；
The load equalizer handles informational table of nodes according to cloud and transmits data to cloud processing node or cloud computing node；The cloud
ETL processors are to data processing in processing node；Data of the ETL processors transmission after processing are to cloud computing node, cloud
Memory node；The cloud computing node obtains data in cloud processing node or obtains data in cloud storage node or directly obtain visitor
Family end data.
2. a kind of method of the data processing based on cloud computing platform as claimed in claim 1, it is characterised in that including step
It is as follows：
A000：Cloud computing platform obtains client data；
A001：Load equalizer handles informational table of nodes according to cloud and judges whether that remaining treating capacity is less than the cloud of bearer cap
Handle node；If in the presence of performing A002；If being not present, A005, A002 are performed：Client is transmitted in then load equalizer control
End data to cloud handles node；
A003：Cloud processing node processing client transmits data；
A004：Data cloud computing into cloud storage node or server cluster after cloud processing node is handled according to data type delivery
Node；
A005：Load equalizer selects to transmit client data to cloud computing node according to cloud computing node information table.
3. the method for a kind of data processing based on cloud computing platform according to claim 2, it is characterised in that in A002
It is as follows to cloud processing node step that client data is transmitted in load equalizer control：
B000：Load balancing processor handles informational table of nodes according to cloud and judges whether that idle cloud handles node；If in the presence of,
Then perform B001；If being not present, B002 is performed；
B001：Load equalizer transmits client data to any one idle cloud processing node；Cloud processing node performs B003；
B002：Load equalizer transmits client data to remaining treating capacity from cloud processing informational table of nodes and accounts for bearer cap ratio
Minimum cloud processing node；Cloud processing node performs B003；
B003：Cloud processing node transmits remaining treating capacity to load equalizer；
B004：Load equalizer renewal cloud processing informational table of nodes.
4. the method for a kind of data processing based on cloud computing platform according to claim 2, it is characterised in that in A003
Remaining treating capacity is transmitted to load equalizer after the completion of cloud processing node processing；The load equalizer renewal cloud processing node letter
Cease table.
5. the method for a kind of data processing based on cloud computing platform according to claim 2, it is characterised in that in A005
It is as follows to cloud computing node step that load equalizer transmits client data：
C000：Load balancing processor judges whether idle cloud computing node according to cloud computing node information table；If in the presence of,
Then perform C001；If being not present, C002 is performed；
C001：Load equalizer transmits client data to any one idle cloud computing node；Cloud computing node performs C003；
C002：Load equalizer transmits client data to the minimum cloud computing section of cpu busy percentage from cloud computing node information table
Point；Cloud computing node performs C003；
C003：Cloud computing node transmits remaining treating capacity to load equalizer；
C004：Load equalizer updates cloud computing node information table.
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| CN109714112A (en) * | 2019-02-28 | 2019-05-03 | 厦门大学 | A kind of underwater acoustic communication method and system using mobile platform cluster |
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| CN113778681B (en) * | 2021-09-10 | 2024-05-03 | 施麟 | Data processing method and device based on cloud computing and storage medium |
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