CN106027298A - Data collection method of distributed data system and the distributed data system - Google Patents
Data collection method of distributed data system and the distributed data system Download PDFInfo
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- CN106027298A CN106027298A CN201610340902.9A CN201610340902A CN106027298A CN 106027298 A CN106027298 A CN 106027298A CN 201610340902 A CN201610340902 A CN 201610340902A CN 106027298 A CN106027298 A CN 106027298A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0654—Management of faults, events, alarms or notifications using network fault recovery
- H04L41/0668—Management of faults, events, alarms or notifications using network fault recovery by dynamic selection of recovery network elements, e.g. replacement by the most appropriate element after failure
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0654—Management of faults, events, alarms or notifications using network fault recovery
- H04L41/0659—Management of faults, events, alarms or notifications using network fault recovery by isolating or reconfiguring faulty entities
- H04L41/0661—Management of faults, events, alarms or notifications using network fault recovery by isolating or reconfiguring faulty entities by reconfiguring faulty entities
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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
- H04L67/12—Protocols specially adapted for proprietary or special-purpose networking environments, e.g. medical networks, sensor networks, networks in vehicles or remote metering networks
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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
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
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Abstract
The invention discloses a data collection method and a distributed data system. The distributed data system comprises multiple data centers which are in mutual communication connection and remote terminals subordinate to the data centers. The data centers comprise a management data center and auxiliary data centers. The data collection method comprises the steps that the management data center dynamically allocates data collection tasks for collecting data uploaded by the remote terminals to the auxiliary data centers to execution; when a fault occur in the management data center, replacer information generated in the operation of the current management data center is extracted, the auxiliary data center corresponding to the replacer information is taken as the new management data center; and the new management data center restores the data center in which the fault occurs and outputs event prompting to a preset maintenance terminal. According to the method and the system, the stability of executing the data collection tasks by the data centers is improved, the collection process of the collected target data is ensured to be fluent, and the integrity of the collected target data is ensured.
Description
Technical field
The present invention relates to distributed system technical field, particularly relate to the data of a kind of distributed data system
Acquisition method and distributed data system.
Background technology
In reality, the most all producing substantial amounts of data, some needs to analyze, and some needs storage,
All these needs data bulk to be processed to be huge, has similarity, so needing these big
Data are analyzed processing, and gather the data needed.
In the prior art, the target that usually remote terminal is generated by data center based on data gather computer
Data (such as performance data, alarm data, data on flows, business datum etc.) are acquired, data
The reliability of harvester is to gather complete target data, reduce the work of hand inspection target data completeness
The important prerequisite of amount and guarantee；But, owing to current data gather computer itself is insecure, work as number
When breaking down according to harvester, it will cause data acquisition slowly or interrupt, easily causing collection
There is serious incomplete technical problem in target data.
Summary of the invention
Present invention is primarily targeted at collecting method and the distribution that a kind of distributed data system is provided
Formula data system, it is intended to solve prior art and easily occur that the target data gathered occurs the most incomplete
The technical problem of technical problem.
For achieving the above object, the collecting method of a kind of distributed data system that the present invention provides,
Described distributed data system includes multiple data center being in communication with each other connection and each data center subordinate
Remote terminal, data center includes managing data center and assistance data center,
The collecting method of this distributed data system includes:
The data acquisition session that data uploaded by each remote terminal of collection is dynamically assigned to by management data center
Each assistance data center performs, the corresponding data acquisition session of one of them remote terminal；
When managing data center and breaking down, extract during current management data center is run the replacement generated
Person's information, and using assistance data center corresponding for replacement person's information as new management data center；
The data center broken down is repaired by new management data center, and safeguards that end is defeated to default
Outgoing event is pointed out.
Preferably, the data center broken down is repaired by described new management data center, and to
Preset and safeguard that the step that end outgoing event is pointed out includes:
New management data center uses the journey of the correct procedure content the prestored data center to breaking down
Sequence content carries out data reparation；
If the response that the data center being not detected by breaking down sends based on the program after carrying out data reparation
Message, then reset the data center broken down described in restarting；
If the response message that the data center broken down after restarting that resets sends being detected, then judge institute
State the data center broken down and software failure occurs, export the first event prompt；
If being not detected by resets restart after the data center broken down send response message, then judge
There is hardware failure, output second event prompting in the described data center broken down.
Preferably, the data acquisition that data uploaded by each remote terminal of collection is appointed by described management data center
Business is dynamically assigned to the step of each assistance data center execution and includes:
The data acquisition session that data uploaded by each remote terminal of collection is averagely allocated to by management data center
Each assistance data center performs；
Management data center obtains once each assistance data center processing data acquisition at interval of preset duration
The hardware load of task, using this hardware load as with reference to hardware load；
Management data center with reference to hardware load according to described, dynamically adjust each assistance data center and performs
Data acquisition session.
Preferably, described management data center with reference to hardware load, dynamically adjusts each auxiliary according to described
The step of the data acquisition session that data center performs includes:
Management data center with reference to hardware load, selects the very big supplementary number that hardware load is the highest according to described
According to the minimum assistance data center that center and hardware load are minimum, wherein hard by very big assistance data center
The hardware load at minimum assistance data center, as very big hardware load, is born by part load as minimum hardware
Lotus；
Management data center calculates the load difference of described very big hardware load and minimum hardware load；
If described load difference is more than load threshold value, then management data center is from described very big assistance data
The heart reclaims one or more data acquisition session, and is reallocated to by the data acquisition session of recovery minimum auxiliary
Help data center.
Preferably, management data center adds up the adjustment that each data acquisition session experience reclaims and reallocates
Number of times,
Described management data center reclaims one or more data acquisitions and appoints from described very big assistance data center
It is engaged in, and the step that the data acquisition session of recovery is reallocated to minimum assistance data center includes:
Management data center reclaims one or more adjustment number of times less than secondary from described very big assistance data center
The data acquisition session of number threshold value, using this data acquisition session as task to be allocated；
Described task to be allocated is reallocated to minimum assistance data center by management data center.
The present invention also provides for a kind of distributed data system, described distributed data system include multiple mutually
The data center of communication connection and the remote terminal of each data center subordinate, data center includes managing number
According to center and assistance data center,
Described management data center includes:
Dynamically distribute module, dynamic for each remote terminal of collection being uploaded the data acquisition session of data
Distribute to each assistance data center perform, the corresponding data acquisition session of one of them remote terminal；
Replacement module, for when managing data center and breaking down, extracts current management data center fortune
The replacement person's information generated in row, and using assistance data center corresponding for replacement person's information as new management
Data center；
Repair module, for when becoming new management data center, enters the data center broken down
Row is repaired, and safeguards that end outgoing event is pointed out to default；
Described assistance data center receives and performs to manage the data acquisition session of data center's distribution.
Preferably, described repair module module includes:
Data repair unit, for when becoming new management data center, use the correct procedure prestored
The contents of program of the content data center to breaking down carries out data reparation；
Unit repaired by hardware, is used in the data center being not detected by breaking down based on carrying out data reparation
After program send response message time, reset the data center that breaks down described in restarting；
First Tip element, for detecting the transmission of the data center broken down after restarting that resets
During response message, it is determined that described in the data center that breaks down there is software failure, first event that exports carries
Show；
Second Tip element, for being not detected by the transmission of the data center broken down after restarting that resets
Response message time, it is determined that described in the data center that breaks down there is hardware failure, export second event
Prompting.
Preferably, described dynamic distribution module includes:
Mean allocation unit, average for each remote terminal of collection being uploaded the data acquisition session of data
Distribute to each assistance data center perform；
Load obtaining unit, for obtaining once each assistance data center processing number at interval of preset duration
According to the hardware load of acquisition tasks, using this hardware load as reference hardware load, wherein in assistance data
The heart sends the hardware of currently processed data acquisition session at interval of preset duration to current management data center
Load；
Dynamically regulate unit, for according to described reference hardware load, dynamically adjusting in each assistance data
The data acquisition session that the heart performs.
Preferably, described dynamic regulation unit includes:
Screening subelement, for according to described with reference to hardware load, select the highest the most auxiliary of hardware load
Help data center and the minimum minimum assistance data center of hardware load, wherein by very big assistance data center
Hardware load as very big hardware load, using the hardware load at minimum assistance data center as minimum firmly
Part load；
Mathematic interpolation subelement, for calculating the load difference of described very big hardware load and minimum hardware load
Value；
Reclaim distribution subelement, for described load difference more than load threshold value time, then from described greatly
One or more data acquisition session are reclaimed at assistance data center, and are divided by the data acquisition session of recovery again
Dispensing minimum assistance data center.
Preferably, management data center adds up the adjustment that each data acquisition session experience reclaims and reallocates
Number of times,
The described distribution subelement that reclaims is additionally operable to:
One or more adjustment number of times data less than frequency threshold value are reclaimed from described very big assistance data center
Acquisition tasks, using this data acquisition session as task to be allocated；
Described task to be allocated is reallocated to minimum assistance data center.
Data acquisition session is dynamically assigned to each assistance data center by managing data center by the present invention
Perform process, when managing data center and breaking down, according to the replacement person's information prestored, by this replacement
Assistance data center corresponding to person's information is as new data center, and the newest management data center is to sending out
The data center of raw fault repairs, and safeguards that end outgoing event is pointed out to default, thus avoids because of pipe
Reason data center breaks down, and two management data centers occurs or without managing the situation of data center and shadow
Ring execution and the distribution of data acquisition session, and then data acquisition session can perform smoothly, improves number
Perform the stability of data acquisition session according to center, and then ensure that the gatherer process of the target data of collection
Smooth and easy, it is ensured that the integrity of the target data of collection.
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the collecting method first embodiment of distributed data system of the present invention；
Fig. 2 be distributed data system of the present invention collecting method the second embodiment in when management data
Time breaking down in center, extract during current management data center is run the replacement person's information generated, and will replace
Assistance data center corresponding to the person's of changing information is as the refinement flow process signal of the step of new management data center
Figure；
Fig. 3 be distributed data system of the present invention collecting method the 3rd embodiment in manage in data
The data acquisition session that data uploaded by each remote terminal of collection is dynamically assigned in each assistance data by the heart
The refinement schematic flow sheet of the step that the heart performs；
Fig. 4 be distributed data system of the present invention collecting method the 4th embodiment in manage in data
The heart, according to reference to hardware load, dynamically adjusts the step of the data acquisition session that each assistance data center performs
Rapid refinement schematic flow sheet；
If load difference in the collecting method that Fig. 5 is distributed data system of the present invention 5th embodiment
More than load threshold value, then management data center reclaims one or more data acquisitions from very big assistance data center
Set task, and the data acquisition session of recovery is reallocated to the refinement of the step at minimum assistance data center
Schematic flow sheet；
Fig. 6 is the system framework schematic diagram of distributed data system first embodiment of the present invention；
Fig. 7 is to manage data center's repair module module in distributed data system the second embodiment of the present invention
Refinement high-level schematic functional block diagram；
Fig. 8 be in distributed data system the 3rd embodiment of the present invention manage data center dynamically distribute mould
The refinement high-level schematic functional block diagram of block；
Fig. 9 be in distributed data system the 4th embodiment of the present invention manage data center dynamically regulate list
The refinement high-level schematic functional block diagram of unit.
The realization of the object of the invention, functional characteristics and advantage will in conjunction with the embodiments, do referring to the drawings further
Explanation.
Detailed description of the invention
Should be appreciated that specific embodiment described herein, only in order to explain the present invention, is not used to limit
Determine the present invention.
The present invention provides collecting method (the hereinafter referred to as data acquisition side of a kind of distributed data system
Method), in the first embodiment of collecting method of the present invention, with reference to Fig. 1 and Fig. 6, distributed data
System includes multiple data center being in communication with each other connection and the remote terminal of each data center subordinate, number
Include managing data center 100 and assistance data center 100 according to center, can enter starting data acquisition the earliest
The data center of journey is as management data center 100, and in distributed data system, other data center is as auxiliary
Help data center 110,
This collecting method includes:
Step S10, the data acquisition session that data uploaded by each remote terminal of collection is moved by management data center
State is distributed to each assistance data center and is performed, the corresponding data acquisition session of one of them remote terminal；
The communication structure between each data center in distributed data system can be star-like, net type etc.,
Preferably, each data center is connected with a network interconnection device 200 (such as switch, hub etc.),
Each remote terminal 300 of subordinate is also connected with network interconnection device 200, and the present invention introduces data acquisition and enters
Journey carries out the process of data acquisition in order to manage data center 100, and each data center runs one
Data acquisition process, when the managing process of a certain data center starts, if finding, other data center does not has
Data acquisition process is being run, then this data acquisition process is as master data collection process, thus master data
Data center corresponding to collection process is as management data center 100, and other data center is then as supplementary number
According to center 110, the data acquisition process that assistance data center 110 is run is as from data acquisition process；
Management data center 100 and the major-minor relation of assistance data center 110 simply process, each data herein
In the data acquisition session that processes in the heart there is no major-minor point.
Corresponding 300 1 data acquisition session of a remote terminal of management data center 100, will gather each
Remote terminal 300 is uploaded the data acquisition session of data and is dynamically assigned to each assistance data center 110 and holds
OK, dynamically distribution herein is it is to be understood that distribute average number for each assistance data center 110
According to acquisition tasks, wherein average is that data acquisition session sum is divided by data center's sum；Certainly, flat
All distribution can also be alternate manner, as long as substantially realizing being data acquisition session each supplementary number
According to center 110, the most one by one data acquisition session is assigned randomly to each assistance data center 110.
Step S20, when managing data center and breaking down, extracts during current management data center is run raw
The replacement person's information become, and using assistance data center corresponding for replacement person's information as in new management data
The heart；
In data center by during as management data center 100, this management data center 100 preserves
Replacement person's information (i.e. the information at replacement data center), when managing data center 100 and breaking down, directly
Connect the replacement person's information extracted in current management data center 100, and by auxiliary corresponding for replacement person's information
Data center 110 is as new management data center 100, it is to avoid because of management, data center 100 breaks down,
Two management data centers 100 occur or affects data acquisition appoint without the situation of management data center 100
The execution of business and distribution.Additionally, it should be noted that, the management data center 100 broken down is being taken
The data acquisition session oneself processed, new management data can be discharged when disappearing as management data center 100
The data acquisition session that the release of last management data center 100 is reclaimed at center 100 is auxiliary to be again assigned to
Help data center 110.
Step S30, the data center broken down is repaired by new management data center, and to presetting
Safeguard that end outgoing event is pointed out.
The new data center to breaking down of the management data center 100 is (in the management data of the most previous
The heart) to repair, this reparation includes software reparation and/or hardware reparation, and to default maintenance end output
Event prompt, to inform system maintenance personnel's failure condition.
In the present embodiment, by management data center 100, data acquisition session is dynamically assigned to each
Assistance data center performs process, when managing data center 100 and breaking down, according to the replacement prestored
Person's information, using assistance data center 110 corresponding for this replacement person's information as new data center, then
The data center broken down is repaired by new management data center 100, and safeguards that end is defeated to default
Outgoing event is pointed out, thus avoids, because management data center 100 breaks down, occurring that two manage in data
The heart 100 or affect execution and the distribution of data acquisition session without the management situation of data center 100, enters
And data acquisition session can perform smoothly, improve data center and perform the stability of data acquisition session,
And then ensure that the gatherer process of the target data of collection is smooth and easy, it is ensured that the target data of collection complete
Property.
Further, on the basis of collecting method first embodiment of the present invention, data acquisition is proposed
Method the second embodiment, with reference to Fig. 2, in a second embodiment, step S30 includes:
Step S31, new management data center uses the correct procedure content the prestored data to breaking down
The contents of program at center carries out data reparation；
Step S32, if the data center being not detected by breaking down is sent out based on the program after carrying out data reparation
The response message sent, then reset and restart the data center broken down；
Step S33, if the response message that the data center broken down after restarting that resets sends being detected,
Then judge that the data center broken down occurs software failure, export the first event prompt；
Step S34, if the response that the data center broken down after restarting that is not detected by resetting sends disappears
Breath, then judge that the data center broken down occurs hardware failure, output second event prompting.
The contents of program of data center is the most changeless, is determining that management data center breaks down
Afterwards, the contents of program using the correct procedure content the prestored data center to breaking down carries out data
Repair, if the data center broken down is after carrying out data reparation based on correct procedure content, it is possible to
Current management data center sends response message, i.e. management data center and the data broken down detected
The response message that center sends based on the program after carrying out data reparation, then judge in the data broken down
Heart generation software failure, exports the first event prompt to maintenance terminal, and this first event prompt is for dimension
Protecting the data center that terminal report breaks down is that program software lost efficacy, and prompting maintenance personnel note generation
The data center of fault carries out the maintenance of software aspects, thus provides accurate fault for attendant
Testing result, and automatically solve the Problem of Failure of the data center's software aspects broken down.
After the data center broken down is carried out software data reparation, if being still not detected by not examining
Measure the response message that the data center broken down sends based on the program after carrying out data reparation, now
Can speculate that problem on hardware occurs in the data center broken down, then reset and restart fail data node；
If the response message that the data center broken down after restarting that resets sends being detected, show to break down
Data center's in house software program the most out of joint, then judge that the data center broken down is sent out
Raw software failure, exports the first event prompt；If to be still not detected by reset restart after break down
The response message that data center sends, i.e. carries out data reparation and the weight that resets to the data center broken down
After opening, the data center broken down still can not normally send response message, then judge to break down
Data center there is hardware failure, output second event prompting, the prompting of this second event is for maintenance
The data center that terminal report breaks down is that hardware of memory device lost efficacy, and prompting maintenance personnel note sending out
The data center of raw fault carries out the maintenance of hardware aspect, thus provides accurate event for attendant
Barrier testing result, in order to attendant prepares the instrument needed for data center's hardware maintenance and consumptive material in time.
Further, on the basis of collecting method the second embodiment of the present invention, data acquisition is proposed
Method the 3rd embodiment, with reference to Fig. 3, in the third embodiment, step S10 includes:
Step S11, the data acquisition session that data uploaded by each remote terminal of collection is put down by management data center
All distribute to each assistance data center perform；
Step S12, management data center obtains once each assistance data center processing at interval of preset duration
The hardware load of data acquisition session, using this hardware load as with reference to hardware load；
Step S13, management data center, according to reference to hardware load, dynamically adjusts each assistance data center
The data acquisition session performed.
Data center, before performing data acquisition session, is to know which data acquisition session ratio
Relatively time consuming, which data acquisition session is fairly simple, and the hardware processing capability of each data center is also
It is not quite similar, so each data center (including managing data center and Added Management center) is because processing number
Can not persistently keep in balance according to hardware load produced by acquisition tasks, so needing the most dynamically to adjust.
Hardware load can include in cpu load, Memory Load etc. one or more, prioritizing selection CPU
Load is as hardware load, and data center is the longest to the process time of data acquisition session, then hardware load
The highest, management data center obtains in the most each assistance data at interval of preset duration (such as 3 minutes)
The hardware load (i.e. with reference to hardware load) of the heart, then management data center is according to each assistance data center
Reference hardware load, dynamically adjust the data acquisition session that each assistance data center performs, the most firmly
The data acquisition session at the assistance data center that part load is high turns to the assistance data center that hardware load is low
Move.
In the present embodiment, it is determined by managing data center, and manages data center first by data acquisition
Set task is evenly distributed to assistance data center, and the reference hardware then obtaining each assistance data center is born
Lotus, finally according to reference to hardware load, dynamically adjusts the data acquisition session at each assistance data center,
To realize the dynamic load balancing at each assistance data center, thus make full use of the hard of multiple data center
Part resource and the network bandwidth, process the data acquisition session of multiple remote terminal concurrently, thus accelerate
The processing speed of data acquisition session, data center can gather required target data in time, it is to avoid because of
The target data that target data collection is caused not in time gathers incomplete problem.
Further, on the basis of collecting method the 3rd embodiment of the present invention, data acquisition is proposed
Method the 4th embodiment, with reference to Fig. 4, in the fourth embodiment, step S13 includes:
Step S131, management data center according to reference to hardware load, selects the highest very big of hardware load
Assistance data center and the minimum minimum assistance data center of hardware load, wherein by very big assistance data
The hardware load of the heart is as very big hardware load, using the hardware load at minimum assistance data center as minimum
Hardware load；
Step S132, management data center calculates the load difference of very big hardware load and minimum hardware load；
Step S133, if load difference is more than load threshold value, then management data center is from very big assistance data
One or more data acquisition session are reclaimed at center, and are reallocated to minimum by the data acquisition session of recovery
Assistance data center.
The hardware load at management each assistance data center of data center's comparison, selects hardware load the highest
Greatly assistance data center and the minimum assistance data center of hardware load minimum, management data center is from pole
One or more data acquisition session, the data acquisition session number root of recovery are reclaimed in big assistance data center
Determine according to the highest hardware load and minimal hardware load.Management data center calculates very big hardware load and pole
The load difference of little hardware load, i.e. load difference=very big hardware load-minimum hardware load, presets load
Threshold value, compares load difference and load threshold value, if load difference is more than load threshold value, shows greatly to assist
The hardware load of data center differs relatively big with the hardware load at minimum assistance data center, and hardware load is not
All phenomenons are more serious, so management data center reclaims one or more numbers from very big assistance data center
According to acquisition tasks, and it is hard to relax that the data acquisition session of recovery is reallocated to minimum assistance data center
The problem that part power load distributing is uneven；If load difference is less than load threshold value, show very big assistance data center
Hardware load differ less with the hardware load at minimum assistance data center, hardware load distribution the most equal
Weighing apparatus, it is not necessary to carry out hardware load adjustment, thus only when hardware load skewness is more serious, just enter
The adjustment of the data acquisition session that row is corresponding, improves accuracy and promptness that data acquisition session adjusts,
Avoid very big assistance data central hardware load too high and cause processing speed to be crossed slowly, even crash, simultaneously
Avoid minimum assistance data central hardware load too small and cause the waste of hardware resource.
Further, on the basis of collecting method the 3rd embodiment of the present invention, data acquisition is proposed
Method the 4th embodiment, with reference to Fig. 5, in the fourth embodiment, management data center adds up each data acquisition
Set task experience reclaims and the adjustment number of times of reallocation,
Step S133 includes:
Step S1331, if load difference is more than load threshold value, management data center is from very big assistance data
The heart reclaims one or more adjustment number of times data acquisition session less than frequency threshold value, this data acquisition is appointed
Business is as task to be allocated；
Step S1332, task to be allocated is reallocated to minimum assistance data center by management data center.
Give each data acquisition session one in management data center and adjust number of times statistical value, at logarithm
When once reclaiming according to acquisition tasks and reallocate, the adjustment number of times of this data acquisition session is added one,
I.e. one data acquisition session is recovered and reallocates once that it adjusts number of times from adding one.
In the present embodiment, when managing data center's data collection acquisition tasks, only reclaim and adjust number of times
Less than the data acquisition session of frequency threshold value (task the most to be allocated), then by task to be allocated sub-distribution again
To minimum assistance data center, i.e. when the adjustment number of times of a certain data acquisition session is more than frequency threshold value,
Then this data acquisition session will not be recovered reallocation again, until corresponding assistance data center has performed this number
According to acquisition tasks, thus avoid a data acquisition session repeatedly between assistance data center reclaim and again
Distribution, and cannot be performed in time.
The present invention also provides for a kind of distributed data system, in distributed data system first embodiment,
With reference to Fig. 6, distributed data system includes multiple data centers being in communication with each other connection and each data center
The remote terminal of subordinate, data center includes managing data center 100 and assistance data center 100, can be by
Start the data center of data acquisition process the earliest as managing data center 100, in distributed data system
Other data center as assistance data center 110,
Management data center 100 includes:
Dynamically distribution module 10, moves for each remote terminal of collection is uploaded the data acquisition session of data
State is distributed to each assistance data center and is performed, the corresponding data acquisition session of one of them remote terminal；
The communication structure between each data center in distributed data system can be star-like, net type etc.,
Preferably, each data center is connected with a network interconnection device 200 (such as switch, hub etc.),
Each remote terminal 300 of subordinate is also connected with network interconnection device 200, and the present invention introduces data acquisition and enters
Journey carries out the process of data acquisition in order to manage data center 100, and each data center runs one
Data acquisition process, when the managing process of a certain data center starts, if finding, other data center does not has
Data acquisition process is being run, then this data acquisition process is as master data collection process, thus master data
Data center corresponding to collection process is as management data center 100, and other data center is then as supplementary number
According to center 110, the data acquisition process that assistance data center 110 is run is as from data acquisition process；
Management data center 100 and the major-minor relation of assistance data center 110 simply process, each data herein
In the data acquisition session that processes in the heart there is no major-minor point.
Corresponding 300 1 data acquisition session of a remote terminal of management data center 100, dynamically distribute
The data acquisition session that data uploaded by each remote terminal 300 of collection is dynamically assigned to each auxiliary by module 10
Data center 110 performs, and dynamically distribution herein is it is to be understood that be each assistance data center 110
Distribution average data acquisition session, wherein average is that data acquisition session sum is divided by data center
Sum；Certainly, mean allocation can also be alternate manner, as long as substantially realizing data acquisition session equal
For to each assistance data center 110, the most one by one data acquisition session being assigned randomly to each
Assistance data center 110.
Replacement module 20, for breaking down when management data center, extracts current management data center fortune
The replacement person's information generated in row, and using assistance data center corresponding for replacement person's information as new management
Data center；
In data center by during as management data center 100, this management data center 100 preserves
Replacement person's information (i.e. the information at replacement data center), when managing data center 100 and breaking down, replaces
Replacement person's information in die change block 20 extracting directly current management data center 100, and by replacement person's information
Corresponding assistance data center 110 is as new management data center 100, it is to avoid because of management data center
100 break down, occur two management data centers 100 or without the management situation of data center 100 shadow
Ring execution and the distribution of data acquisition session.Additionally, it should be noted that, in the management data broken down
The heart 100 can discharge, when being cancelled as management data center 100, the data acquisition session oneself processed,
New management data center 100 reclaim the data acquisition session of last management data center 100 release with
It is again assigned to assistance data center 110.
Repair module 30, for when becoming new management data center, to the data center broken down
Repair, and safeguard that end outgoing event is pointed out to default；
Assistance data center 110 receives and performs to manage the data acquisition session of data center's distribution.
The repair module 30 of new management data center 100 data center (the most previous to breaking down
Management data center) repair, this reparation includes software reparation and/or hardware reparation, and to presetting
Maintenance end outgoing event prompting, to inform system maintenance personnel's failure condition.
In the present embodiment, by dynamically distribution module 10, data acquisition session is dynamically assigned to each auxiliary
Helping data center to perform process, when managing data center 100 and breaking down, replacement module 20 is according in advance
The replacement person's information deposited, using assistance data center 110 corresponding for this replacement person's information as in new data
The heart, the newest management data center 100 repair module 30 data center to breaking down repairs,
And safeguard that end outgoing event is pointed out to default, thus avoid, because management data center 100 breaks down, going out
Existing two manage data centers 100 or affect data acquisition session without the situation of management data center 100
Execution and distribution, and then data acquisition session can perform smoothly, improves data center and performs data
The stability of acquisition tasks, and then ensure that the gatherer process of the target data of collection is smooth and easy, it is ensured that adopt
The integrity of the target data of collection.
Further, on the basis of distributed data system first embodiment of the present invention, propose distributed
Data system the second embodiment, with reference to Fig. 7, in a second embodiment, repair module module 30 includes:
Data repair unit 31, for when becoming new management data center, use the correct journey prestored
The contents of program of the sequence content data center to breaking down carries out data reparation；
Unit 32 repaired by hardware, for repairing based on carrying out data in the data center being not detected by breaking down
During the response message that the program after Fu sends, reset and restart the data center broken down；
First Tip element 33, for detecting that the data center broken down after restarting that resets sends
Response message time, it is determined that there is software failure in the data center that breaks down, exports the first event prompt；
Second Tip element 34, for sending out in the data center broken down after restarting that is not detected by resetting
During the response message sent, it is determined that the data center broken down occurs hardware failure, output second event to carry
Show.
The contents of program of data center is the most changeless, is determining that management data center breaks down
Afterwards, data are repaired unit 31 and are used the journey of the correct procedure content the prestored data center to breaking down
Sequence content carries out data reparation, if the data center broken down is carrying out data based on correct procedure content
After reparation, it is possible to send response message, i.e. management data center to current management data center and detect
The response message that the data center broken down sends based on the program after carrying out data reparation, then first carry
Show that unit 33 judges that the data center broken down occurs software failure, export the first event to maintenance terminal
Prompting, this first event prompt is program software for the data center broken down to maintenance terminal report
Losing efficacy, prompting maintenance personnel note carrying out the data center broken down the maintenance of software aspects, thus
There is provided accurate failure detection result for attendant, and automatically solve in the data that break down
The Problem of Failure of heart software aspects.
After the data center broken down is carried out software data reparation, if being still not detected by not examining
Measure the response message that the data center broken down sends based on the program after carrying out data reparation, now
Can speculate that problem on hardware occurs in the data center broken down, then hardware reparation unit 32 resets and restarts
Fail data node；If the response message that the data center broken down after restarting that resets sends being detected,
Show that the data center's in house software program broken down is the most out of joint, then the first Tip element
33 judge that the data center broken down occurs software failure, export the first event prompt；If still not examining
Measure the response message that the data center broken down after restarting that resets sends, i.e. to the number broken down
Carrying out data reparation according to center and after reset restarts, the data center broken down still can not normally send out
Send response message, then the second Tip element 34 judges that the data center broken down occurs hardware failure, defeated
Going out second event prompting, the prompting of this second event for reporting the data center broken down to maintenance terminal
Being that hardware of memory device lost efficacy, prompting maintenance personnel note the data center broken down is carried out hardware side
The maintenance in face, thus provide accurate failure detection result for attendant, in order to attendant and
Time prepare the instrument needed for data center hardware maintenance and consumptive material.
Further, on the basis of distributed data system the second embodiment of the present invention, propose distributed
Data system the 3rd embodiment, with reference to Fig. 8, in the third embodiment,
Dynamically distribution module 10 includes:
Mean allocation unit 11, puts down for each remote terminal of collection is uploaded the data acquisition session of data
All distribute to each assistance data center perform；
Load obtaining unit 12, for obtaining once each assistance data center processing at interval of preset duration
The hardware load of data acquisition session, using this hardware load as with reference to hardware load, wherein assistance data
Center sends the hard of currently processed data acquisition session at interval of preset duration to current management data center
Part load；
Dynamically regulation unit 13, for according to reference to hardware load, dynamically adjusting each assistance data center
The data acquisition session performed.
Data center, before performing data acquisition session, is to know which data acquisition session ratio
Relatively time consuming, which data acquisition session is fairly simple, and the hardware processing capability of each data center is also
It is not quite similar, so each data center (including managing data center and Added Management center) is because processing number
Can not persistently keep in balance according to hardware load produced by acquisition tasks, so module 10 need to dynamically be distributed
The most dynamically adjust.
Hardware load can include in cpu load, Memory Load etc. one or more, prioritizing selection CPU
Load is as hardware load, and data center is the longest to the process time of data acquisition session, then hardware load
The highest, Load obtaining unit 12 obtains the most each assistance data at interval of preset duration (such as 3 minutes)
The hardware load (i.e. with reference to hardware load) at center, the most dynamically regulation unit 13 is according to each supplementary number
According to the reference hardware load at center, dynamically adjust the data acquisition session that each assistance data center performs,
Wherein the data acquisition session at the assistance data center that hardware load is high is in the assistance data that hardware load is low
The heart shifts.
In the present embodiment, it is determined by managing data center, and mean allocation unit 11 is first by data
Acquisition tasks is evenly distributed to assistance data center, and then Load obtaining unit 12 obtains each assistance data
The reference hardware load at center, last dynamically regulation unit 13, according to reference to hardware load, dynamically adjusts each
The data acquisition session at individual assistance data center, to realize the dynamic load balancing at each assistance data center,
Thus make full use of hardware resource and the network bandwidth of multiple data center, process multiple long-range end concurrently
The data acquisition session of end, thus accelerates the processing speed of data acquisition session, data center can and
Time gather needed for target data, it is to avoid the target data collection caused not in time because of target data collection
Incomplete problem.
Further, on the basis of distributed data system the 3rd embodiment of the present invention, propose distributed
Data system the 4th embodiment, dynamically regulation unit 13 includes:
Screening subelement 131, for according to reference to hardware load, selecting the very big auxiliary that hardware load is the highest
Data center and the minimum minimum assistance data center of hardware load, wherein by very big assistance data center
Hardware load is as very big hardware load, using the hardware load at minimum assistance data center as minimum hardware
Load；
Mathematic interpolation subelement 132, for calculating the load difference of very big hardware load and minimum hardware load
Value；
Reclaim distribution subelement 133, for when load difference is more than load threshold value, then from very big supplementary number
Reclaim one or more data acquisition session according to center, and the data acquisition session of recovery is reallocated to pole
Little assistance data center.
The hardware load at screening each assistance data center of subelement 131 comparison, selects hardware load the highest
Very big assistance data center and the minimum minimum assistance data center of hardware load, management data center from
One or more data acquisition session, the data acquisition session number of recovery are reclaimed in greatly assistance data center
Determine according to the highest hardware load and minimal hardware load.Mathematic interpolation subelement 132 calculates very big hardware
Load and the load difference of minimum hardware load, i.e. load difference=very big hardware load-minimum hardware load,
Preset load threshold value, compare load difference and load threshold value, if load difference is more than load threshold value, show
The greatly hardware load at assistance data center differs relatively big, firmly with the hardware load at minimum assistance data center
Part load uneven phenomenon is more serious, returns so reclaiming distribution subelement 133 from very big assistance data center
Receive one or more data acquisition session, and the data acquisition session of recovery is reallocated to minimum supplementary number
According to center with the problem relaxing hardware load skewness；If load difference is less than load threshold value, show pole
The big hardware load at assistance data center differs less with the hardware load at minimum assistance data center, hardware
Power load distributing more equalizes, it is not necessary to carry out hardware load adjustment, thus only at hardware load skewness relatively
For time serious, just carry out the adjustment of the data acquisition session of correspondence, improve what data acquisition session adjusted
Accuracy and promptness, it is to avoid greatly assistance data central hardware load too high and cause processing speed the slowest,
Even crash, avoid minimum assistance data central hardware load too small simultaneously and cause the waste of hardware resource.
Preferably, management data center adds up the adjustment that each data acquisition session experience reclaims and reallocates
Number of times,
Reclaim distribution subelement 133 to be additionally operable to:
If load difference is more than load threshold value, reclaim one or more adjustment time from very big assistance data center
Number is less than the data acquisition session of frequency threshold value, using this data acquisition session as task to be allocated；
Task to be allocated is reallocated to minimum assistance data center.
Give each data acquisition session one in management data center and adjust number of times statistical value, at logarithm
When once reclaiming according to acquisition tasks and reallocate, the adjustment number of times of this data acquisition session is added one,
I.e. one data acquisition session is recovered and reallocates once that it adjusts number of times from adding one.
In the present embodiment, when managing data center's data collection acquisition tasks, reclaim distribution subelement
133 only reclaim the data acquisition session (task the most to be allocated) adjusting number of times less than frequency threshold value, then will
Task to be allocated is assigned to minimum assistance data center again, i.e. in the adjustment time of a certain data acquisition session
When number is more than frequency threshold value, then this data acquisition session will not be recovered reallocation again, until corresponding auxiliary
Data center has performed this data acquisition session, thus avoids a data acquisition session repeatedly at supplementary number
According to reclaiming between center and reallocating, and cannot be performed in time.
Through the above description of the embodiments, those skilled in the art is it can be understood that arrive above-mentioned
Embodiment method can add the mode of required general hardware platform by software and realize, naturally it is also possible to logical
Cross hardware, but a lot of in the case of the former is more preferably embodiment.Based on such understanding, the present invention's
The part that prior art is contributed by technical scheme the most in other words can be with the form body of software product
Revealing to come, this computer software product is stored in a storage medium (such as ROM/RAM, magnetic disc, light
Dish) in, including some instructions with so that a station terminal equipment (can be mobile phone, computer, service
Device, air-conditioner, or the network equipment etc.) perform each embodiment of the present invention method.
These are only the preferred embodiments of the present invention, not thereby limit the scope of the claims of the present invention, every
Utilize equivalent structure or equivalence flow process conversion that description of the invention and accompanying drawing content made, or directly or
Connect and be used in other relevant technical fields, be the most in like manner included in the scope of patent protection of the present invention.
Claims (10)
1. the collecting method of a distributed data system, it is characterised in that described distributed data
System includes multiple data center being in communication with each other connection and the remote terminal of each data center subordinate, number
Include managing data center and assistance data center according to center,
The collecting method of this distributed data system includes:
The data acquisition session that data uploaded by each remote terminal of collection is dynamically assigned to by management data center
Each assistance data center performs, the corresponding data acquisition session of one of them remote terminal；
When managing data center and breaking down, extract during current management data center is run the replacement generated
Person's information, and using assistance data center corresponding for replacement person's information as new management data center；
The data center broken down is repaired by new management data center, and safeguards that end is defeated to default
Outgoing event is pointed out.
2. the collecting method of distributed data system as claimed in claim 1, it is characterised in that
The data center broken down is repaired by described new management data center, and safeguards that end is defeated to default
The step of outgoing event prompting includes:
New management data center uses the journey of the correct procedure content the prestored data center to breaking down
Sequence content carries out data reparation；
If the response that the data center being not detected by breaking down sends based on the program after carrying out data reparation
Message, then reset the data center broken down described in restarting；
If the response message that the data center broken down after restarting that resets sends being detected, then judge institute
State the data center broken down and software failure occurs, export the first event prompt；
If being not detected by resets restart after the data center broken down send response message, then judge
There is hardware failure, output second event prompting in the described data center broken down.
3. the collecting method of distributed data system as claimed in claim 1 or 2, its feature exists
In, the data acquisition session that data uploaded by each remote terminal of collection is dynamically divided by described management data center
The step that each assistance data center of dispensing performs includes:
The data acquisition session that data uploaded by each remote terminal of collection is averagely allocated to by management data center
Each assistance data center performs；
Management data center obtains once each assistance data center processing data acquisition at interval of preset duration
The hardware load of task, using this hardware load as with reference to hardware load；
Management data center with reference to hardware load according to described, dynamically adjust each assistance data center and performs
Data acquisition session.
4. the collecting method of distributed data system as claimed in claim 1, it is characterised in that
Described management data center with reference to hardware load according to described, dynamically adjust each assistance data center and performs
The step of data acquisition session include:
Management data center with reference to hardware load, selects the very big supplementary number that hardware load is the highest according to described
According to the minimum assistance data center that center and hardware load are minimum, wherein hard by very big assistance data center
The hardware load at minimum assistance data center, as very big hardware load, is born by part load as minimum hardware
Lotus；
Management data center calculates the load difference of described very big hardware load and minimum hardware load；
If described load difference is more than load threshold value, then management data center is from described very big assistance data
The heart reclaims one or more data acquisition session, and is reallocated to by the data acquisition session of recovery minimum auxiliary
Help data center.
5. the collecting method of distributed data system as claimed in claim 4, it is characterised in that
Management data center adds up each data acquisition session experience and reclaims and the adjustment number of times of reallocation,
Described management data center reclaims one or more data acquisitions and appoints from described very big assistance data center
It is engaged in, and the step that the data acquisition session of recovery is reallocated to minimum assistance data center includes:
Management data center reclaims one or more adjustment number of times less than secondary from described very big assistance data center
The data acquisition session of number threshold value, using this data acquisition session as task to be allocated；
Described task to be allocated is reallocated to minimum assistance data center by management data center.
6. a distributed data system, it is characterised in that described distributed data system includes multiple phase
The data center of intercommunication connection and the remote terminal of each data center subordinate, data center includes management
Data center and assistance data center,
Described management data center includes:
Dynamically distribute module, dynamic for each remote terminal of collection being uploaded the data acquisition session of data
Distribute to each assistance data center perform, the corresponding data acquisition session of one of them remote terminal；
Replacement module, for when managing data center and breaking down, extracts current management data center fortune
The replacement person's information generated in row, and using assistance data center corresponding for replacement person's information as new management
Data center；
Repair module, for when becoming new management data center, enters the data center broken down
Row is repaired, and safeguards that end outgoing event is pointed out to default；
Described assistance data center receives and performs to manage the data acquisition session of data center's distribution.
7. distributed data system as claimed in claim 6, it is characterised in that described repair module mould
Block includes:
Data repair unit, for when becoming new management data center, use the correct procedure prestored
The contents of program of the content data center to breaking down carries out data reparation；
Unit repaired by hardware, is used in the data center being not detected by breaking down based on carrying out data reparation
After program send response message time, reset the data center that breaks down described in restarting；
First Tip element, for detecting the transmission of the data center broken down after restarting that resets
During response message, it is determined that described in the data center that breaks down there is software failure, first event that exports carries
Show；
Second Tip element, for being not detected by the transmission of the data center broken down after restarting that resets
Response message time, it is determined that described in the data center that breaks down there is hardware failure, export second event
Prompting.
Distributed data system the most as claimed in claims 6 or 7, it is characterised in that described dynamic point
Join module to include:
Mean allocation unit, average for each remote terminal of collection being uploaded the data acquisition session of data
Distribute to each assistance data center perform；
Load obtaining unit, for obtaining once each assistance data center processing number at interval of preset duration
According to the hardware load of acquisition tasks, using this hardware load as reference hardware load, wherein in assistance data
The heart sends the hardware of currently processed data acquisition session at interval of preset duration to current management data center
Load；
Dynamically regulate unit, for according to described reference hardware load, dynamically adjusting in each assistance data
The data acquisition session that the heart performs.
9. distributed data system as claimed in claim 8, it is characterised in that described dynamic regulation list
Unit includes:
Screening subelement, for according to described with reference to hardware load, select the highest the most auxiliary of hardware load
Help data center and the minimum minimum assistance data center of hardware load, wherein by very big assistance data center
Hardware load as very big hardware load, using the hardware load at minimum assistance data center as minimum firmly
Part load；
Mathematic interpolation subelement, for calculating the load difference of described very big hardware load and minimum hardware load
Value；
Reclaim distribution subelement, for described load difference more than load threshold value time, then from described greatly
One or more data acquisition session are reclaimed at assistance data center, and are divided by the data acquisition session of recovery again
Dispensing minimum assistance data center.
10. distributed data system as claimed in claim 9, it is characterised in that management data center
Add up each data acquisition session experience to reclaim and the adjustment number of times of reallocation,
The described distribution subelement that reclaims is additionally operable to:
One or more adjustment number of times data less than frequency threshold value are reclaimed from described very big assistance data center
Acquisition tasks, using this data acquisition session as task to be allocated；
Described task to be allocated is reallocated to minimum assistance data center.
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