CN102521925B - Load balancing method and system of bank terminal device - Google Patents
Load balancing method and system of bank terminal device Download PDFInfo
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- CN102521925B CN102521925B CN2011104067825A CN201110406782A CN102521925B CN 102521925 B CN102521925 B CN 102521925B CN 2011104067825 A CN2011104067825 A CN 2011104067825A CN 201110406782 A CN201110406782 A CN 201110406782A CN 102521925 B CN102521925 B CN 102521925B
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- G—PHYSICS
- G07—CHECKING-DEVICES
- G07F—COIN-FREED OR LIKE APPARATUS
- G07F19/00—Complete banking systems; Coded card-freed arrangements adapted for dispensing or receiving monies or the like and posting such transactions to existing accounts, e.g. automatic teller machines
- G07F19/20—Automatic teller machines [ATMs]
- G07F19/209—Monitoring, auditing or diagnose of functioning of ATMs
Abstract
The invention discloses a load balancing method of a bank terminal device and a load balancing system of the bank terminal device. The system comprises a bank outlet server, a transaction terminal and a load balancing device, wherein the load balancing device comprises a sample data collecting unit for collecting transaction data of the transaction terminal through the bank outlet server and generating sample data, a cluster pattern generating unit for generating a bank outlet two-dimensional cluster pattern including website number, website type and transaction terminal value degree, an information output unit for outputting increased transaction terminal hint information including corresponding website number, and/or outputting transaction terminal shutdown instruction information including corresponding website number, and an information display unit for displaying increased transaction terminal hint information, wherein the bank outlet server receives the transaction terminal shutdown instruction information and controls transaction terminal to be shut down; the method and the system solve the problems of uneven distribution of bank outlet terminal devices and resource waste and improve the load handling capability of the bank system.
Description
Technical field
The present invention processes and the load-balancing technique field about computer data, is a kind of banking terminal device load-balancing method and system specifically.
Background technology
Bank computer system is through years development and application, and growing data processing request and calculating strength are had higher requirement to scale and the processing power of system.In order to tackle such trend, banking system has adopted load balance process equipment or technology, so that various task requests are processed in the collaborative work of many complete equipments, thereby reaches the high concurrent purpose that merges with multisystem.
At present, most of load-balancing technique schemes all rely on the improvement basis of hardware device, these schemes are only come balanced allocating task request according to the situation of utilizing of system bottleneck resource, lacking utilization factor to terminal device, busy idle condition etc. analyzes, flexible configuration terminal device according to actual needs, cause terminal device skewness and the wasting of resources in the system, so that system can not make correct terminal device allocation strategy, thereby reduced the system load processing power.
Summary of the invention
The embodiment of the invention provides a kind of banking terminal device load-balancing method and system, to solve the problem of bank outlets' terminal device skewness and the wasting of resources, improves the load processing power of banking system.
One of purpose of the present invention is, a kind of banking terminal device load-balancing method is provided, and the method comprises: gather the transaction data of the transaction terminal of bank outlets, and the transaction data that gathers is cleared up and Screening Treatment, generate sample data; Sample data is carried out the cluster analysis of data normalization processing and genetic algorithm and process, generate the bank outlets' two dimension dendrogram that comprises net period, site type and transaction terminal value degree; According to site type and the transaction terminal value degree of bank outlets' two dimension dendrogram, output comprises the increase transaction terminal information of corresponding net period, and/or output comprises the transaction terminal stop instruction information of corresponding net period; Showing increases the transaction terminal information; Control the transaction terminal of corresponding bank outlets shuts down according to transaction terminal stop instruction information.
One of purpose of the present invention is, a kind of banking terminal device SiteServer LBS is provided, and this system comprises: bank outlets' server, transaction terminal and load balancing apparatus; Bank outlets' server is connected with transaction terminal and load balancing apparatus respectively; Wherein, load balancing apparatus comprises: the sample data collecting unit, and be used for the transaction data by bank outlets' collection of server transaction terminal, and the transaction data that gathers is cleared up and Screening Treatment, generate sample data; The dendrogram generation unit is used for sample data is carried out the cluster analysis processing of data normalization processing and genetic algorithm, generates the bank outlets' two dimension dendrogram that comprises net period, site type and transaction terminal value degree; Information output unit is used for site type and transaction terminal value degree according to bank outlets' two dimension dendrogram, and output comprises the increase transaction terminal information of corresponding net period, and/or output comprises the transaction terminal stop instruction information of corresponding net period; Information display unit is used for showing increase transaction terminal information; Bank outlets' server receives transaction terminal stop instruction information, and the control transaction terminal is shut down.
Beneficial effect of the present invention is: by terminal device utilization factor, busy idle condition etc. are analyzed, the situation of terminal device skewness in the system is adjusted according to actual needs more in good time; The terminal device low to the value degree realizes that automatically front end closes down, and the site of terminal device deficiency then provides the information for supporting some decision such as net period that need accurately to increase terminal device to the value degree is high.Finally solve the problem of terminal device skewness and the wasting of resources, realized the load balancing of terminal device, improved the load processing power of system, reached the purpose of saving equipment investment, making the best use of everything.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art, the below will do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art, apparently, accompanying drawing in the following describes only is some embodiments of the present invention, for those skilled in the art, under the prerequisite of not paying creative work, can also obtain according to these accompanying drawings other accompanying drawing.
Fig. 1 is embodiment of the invention banking terminal device load-balancing method process flow diagram;
Fig. 2 is the annexation schematic diagram of embodiment of the invention banking terminal device SiteServer LBS;
Fig. 3 is the structured flowchart of embodiment of the invention load balancing apparatus;
Fig. 4 is embodiment of the invention banking terminal device SiteServer LBS schematic diagram;
Fig. 5 is the dendrogram generation unit workflow diagram of embodiment of the invention load balancing apparatus;
Fig. 6 is the two-dimentional dendrogram of the embodiment of the invention;
Fig. 7 is bank of the present invention embodiment site classification chart;
Fig. 8 is the display interface of embodiment of the invention class indication and bank outlets' layout electronic chart.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the invention, the technical scheme in the embodiment of the invention is clearly and completely described, obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills belong to the scope of protection of the invention not making the every other embodiment that obtains under the creative work prerequisite.
As shown in Figure 1, the banking terminal device load-balancing method of the present embodiment comprises: gather the transaction data of the transaction terminal of bank outlets, and the transaction data that gathers is cleared up and Screening Treatment, generate sample data (step S101); Sample data is carried out the cluster analysis of data normalization processing and genetic algorithm and process, generate the bank outlets' two dimension dendrogram (step S102) that comprises net period, site type and transaction terminal value degree; According to site type and the transaction terminal value degree of bank outlets' two dimension dendrogram, output comprises the increase transaction terminal information of corresponding net period, and/or output comprises the transaction terminal stop instruction information (step S103) of corresponding net period; Showing increases transaction terminal information (step S104); Control the transaction terminal of corresponding bank outlets according to transaction terminal stop instruction information and shut down (step S105).
The banking terminal device load-balancing method of the present embodiment also comprises: the step that shows bank outlets' two dimension dendrogram; And the class indication that generates bank outlets according to the site type of bank outlets two dimensions dendrogram, and class indication is presented at step on bank outlets' layout electronic chart; And whether judge transaction terminal value degree greater than threshold value, if it is output comprises the increase transaction terminal information of corresponding net period, if otherwise output packet contains the step of the transaction terminal stop instruction information of corresponding net period.
As shown in Figure 2, the banking terminal device SiteServer LBS of the present embodiment comprises: bank outlets' server 200, transaction terminal (cabinet face terminal 300a, self-aided terminal 300b) and load balancing apparatus 100; Bank outlets' server 200 is connected with transaction terminal (cabinet face terminal 300a, self-aided terminal 300b) and load balancing apparatus 100 respectively.
As shown in Figure 3, load balancing apparatus 100 comprises: sample data collecting unit 101, be used for gathering by bank outlets' server 200 transaction data of transaction terminal (cabinet face terminal 300a, self-aided terminal 300b), and the transaction data that gathers cleared up and Screening Treatment, generate sample data; Dendrogram generation unit 102 is used for sample data is carried out the cluster analysis processing of data normalization processing and genetic algorithm, generates the bank outlets' two dimension dendrogram that comprises net period, site type and transaction terminal value degree; Information output unit 103 is used for site type and transaction terminal value degree according to bank outlets' two dimension dendrogram, and output comprises the increase transaction terminal information of corresponding net period, and/or output comprises the transaction terminal stop instruction information of corresponding net period; Information display unit 104 is used for showing increase transaction terminal information.
Bank outlets' server 200 receives transaction terminal stop instruction information, and control transaction terminal (cabinet face terminal 300a, self-aided terminal 300b) is shut down.
Transaction terminal comprises: cabinet face terminal 300a and self-aided terminal 300b (as: ATM).
As shown in Figure 4, a kind of concrete scheme of the banking terminal device SiteServer LBS of the present embodiment comprises: site server, cabinet face terminal, self-aided terminal, bank network center, bank main, report server, site terminator equalizing device.
The terminal devices such as cabinet face terminal and self-aided terminal provide transaction channel for the client.The site server is in charge of using and controlling of this site terminal device.The bank network center provides high-speed channel for data interaction.Bank main is used for alternately, transmits and storage client trading data.Report server mainly is the back pass transaction data behind the whole batch of reception bank main day.
Bank client is concluded the business by terminal devices such as cabinet face terminal and self-aided terminals, banking terminal gathers transaction data and is uploaded to the site server, the site server is sent to the bank main Database Systems with transaction data by the inner backbone network of bank, carries out data interaction.Bank main day on the same day eventually in batches after, the next day with the client local report server of transaction data back pass system in batches.
Site terminator equalizing device to the report server data gather, processing, cluster analysis, finally the value degree of site terminal device is divided and estimated, if it is higher that the site is worth, the control processing module will demonstrate the net period that needs to increase terminal device; Can also in conjunction with the layout map of site to be analyzed, provide the decision-making foundation of science to increasing peripheral site terminal device.If it is lower that the site is worth, the control processing module is to section terminating equipment or the equipment transaction automatic pause of this site.Thereby realization load balancing.
In Fig. 3, sample data collecting unit 101 image data in report server of load balancing apparatus 100 is cleared up, is screened rear warehouse-in to data and forms sample data, sample data is carried out pre-service is the numerical value between [0,1] before the computing.102 pairs of sample datas of dendrogram generation unit are carried out the K-means cluster analysis of genetic algorithm, according to cluster result can clear and definite certain terminal device value degree height.Information output unit 103 outputs need the net period of the high value degree of increase terminal device; In conjunction with the layout map of site, provide the decision-making foundation of science to increasing peripheral site terminal device.To low value degree site, generate steering order and send to this site server, to this site section terminating equipment or equipment transaction automatic pause, realize the load balancing of terminal.Information display unit 104 is used for showing increase transaction terminal information.
Four cell data reciprocal processes of load balancing apparatus 100: sample data collecting unit 101 is cleared up, is screened rear warehouse-in with the data of main frame back pass form and complex front reporting system and forms the raw data of sample, raw sample data is carried out computing, pre-service, finally form the numerical value between [0,1].Dendrogram generation unit 102 is with on each data projection to one two dimensional surface, wherein the x axle represents artificial sales counter, the y axle represents self-aided terminal, a point represents one day the transaction stroke count in a site, each point in the sample data is carried out the K-means cluster analysis of genetic algorithm, with the cluster result demonstration and with the different colours mark.According to cluster result can clear and definite certain site terminal device value degree height, and show.Information output unit 103 generates steering order and sends to the site server according to the demonstration data of interpretation of result, realizes the load balancing of site terminal.Information display unit 104 is for showing increase transaction terminal information and dendrogram, electronic chart.
Sample data collecting unit 101 gathers cabinet face transaction data and ATM transaction data, and send the data normalization processing unit to process data.By to production data acquisition, finally obtain valid data to be analyzed.Production data is mainly derived from 3 tables: cabinet face tran list, ATM tran list and ATM ruuning situation table
Cabinet face transaction field: work date, week, net period, sales counter number, foreground number of deals, average over-the-counter trading number, intermediary service trading volume, site title.
The ATM transaction field: work date, week, termination number, line number, net period, the stroke count of withdrawing the money, deposit stroke count, the stroke count of transferring accounts, inquiry stroke count, Modify password, other, total stroke count, the amount of money of withdrawing the money.
ATM ruuning situation field: work date, device code, separate unit daily plan the business hours (hour), plan working time (hour), uptime (hour), Homes Using TV, available rate (by weight), normal operation ratio, the normal operation ratio of hardware, the plan Homes Using TV, line interruption (hour), supervisor status (hour), card reader (hour), the journal printer fault (hour), strip printer fault (hour), the banknote processing module (hour), journal printer lack paper (hour), the strip printer paper-out (hour), paper money case traffic failure (hour), paper money box technology fault (hour), lack paper money/low paper money/without paper money (hour), out of service (hour), service class fault accumulative total (hour), technology type fault accumulative total (hour).
Sample data is carried out normalized, send again dendrogram generation unit 102 to analyze.Data all are normalized to numerical value between 0～1, thereby avoided the impact bigger than normal or less than normal on cluster result of radix numerical value, specific implementation is: find out maximal value and minimum value in each data attribute, obtain their difference, deduct minimum value in the attribute with each value in the attribute again, the difference that utilization obtains is again divided by the difference between maximal value and the minimum value, and resulting merchant is exactly the standard value after the data normalization.Repeat said process until all data attribute values are all finished normalized.In addition, for the exact evaluation site is worth, data are treated to the average transaction data of average over-the-counter trading amount ATM.
As shown in Figure 5, dendrogram generation unit 102 is finished group cluster analysis of banking terminal device task requests data, comprising:
Step 1020: the screening of data.This device data source is from bank main back pass form, local intermediary service form.Employing is calculated these indexs based on the data envelopment algorithm (DEA process) of Preference Constraint Cone, be the foreground number of deals with sales counter number, average over-the-counter trading number, three index comprehensives of intermediary service trading volume, and with ATM withdraw the money stroke count, deposit stroke count, the stroke count of transferring accounts, inquiry stroke count, Modify password comprehensively be the ATM number of deals.
Step 1021: with foreground number of deals and ATM transaction data carry out fitness, copy, the crossover and mutation computing.Computing.Initial value clustering parameter K is set, the cluster C that counts, crossover probability Pc, variation probability P m, maximum genetic algebra N, population scale M, simulated annealing searching times Nc.
Step 1022: carry out the computing of K-means cluster, carry out P*K time and calculate, form cluster result.
Step 1023: judge whether each cluster set is empty.
Step 1024: if there is empty cluster, design Immunity Operator, repeating step 1022.
Step 1025: iterations m=m+1, optimize cluster result.
Step 1026: if the one m time is identical with m+1 time cluster result, result's convergence.
Step 1027: carry out the simulated annealing computing, find globally optimal solution.
Step 1028: optimal result is projected on the two dimensional surface.
Step 1029: constantly adjust clustering parameter K, different cluster results is compared, determine K value (k=5 is the experience value).
Result: cluster analysis result is shown with form, can intuitively know the value degree height of the terminal device of each site, if this site equipment in the 5th class, ATM and cabinet face trading volume are all larger so, belong to the high site of value degree, otherwise be the low value site.According to analysis result, provide the distribution suggestion of banking terminal device.
Demonstrate the net period of the high value degree that needs the increase terminal device; Can also in conjunction with the layout map of site to be analyzed, provide the decision-making foundation of science to increasing peripheral site terminal device.To low value degree site, generate steering order and send to this site server, to section terminating equipment or the equipment transaction automatic pause of this site.Thereby realization load balancing.
In Fig. 6, the intersection point data of net period and terminal type are the value degree of terminal device, are 83 such as the value degree that: net period is 1527, the site type is 1 terminal device.If establishing value degree threshold value is 45, then degree of value is high value site more than or equal to 45 site, and the value degree is the low value site less than 45 site.
Shown in Fig. 7,8, specifically be classified as follows:
If with all kinds of sites with the sign mark of Fig. 8 (as: first kind site be designated five-pointed star, the Equations of The Second Kind site be designated triangle, the 3rd class site be designated square, the 4th class site be designated rhombus, the 5th class site be designated circle), show in conjunction with this electronic urban map.
Wherein, first kind site belongs to the low value site, its over-the-counter trading amount and ATM trading volume are all less, the customer quantity that this means this site is fewer, just belong to the first kind such as 258 sites, because the valency system of 258 sites when first kind site is 72 in Fig. 6, valency system when the Equations of The Second Kind site is 26, valency system when the 3rd class site is 11, valency system when the 4th class site is 10, valency system when the 5th class site is 5, and visible 258 sites only are high value site (more than or equal to 45) when first kind site, so 258 sites belong to first kind site.This may be because this site self service quality is not high, also may be because this location, site flow of the people itself is just fewer, and customer resources is less, can consider to merge the site or reduce banking terminal device.According to analysis result, the banking terminal device load balancing apparatus can generate steering order and send to this site server, to section terminating equipment or the equipment transaction automatic pause of low value degree site.
Site (such as two, three, four class sites) for the intermediate level then needs to analyze as the case may be.Higher for the over-the-counter trading amount, and the lower site of ATM trading volume then may be that ATM quantity is more, can cancel; Or this site is not in place to client's service of shunting, and processes as the case may be, and the customer manager can when client's transacting business, guide.Lower for the over-the-counter trading amount, and the higher site of ATM collection trading volume, then can consider to reduce the quantity of banking terminal device.
The 5th class is the site that is in high value position, and its over-the-counter trading amount and ATM trading volume are all higher, and this site service ability just need to this site increase sales counter or ATM, perhaps be set up the site nearby when substantially saturated.For example, 202 sites belong to high value site, because the valency system of 202 sites when first kind site is 6 in Fig. 6, valency system when the Equations of The Second Kind site is 8, valency system when the 3rd class site is 13, and the valency system when the 4th class site is 21, and the valency system when the 5th class site is 72, as seen 202 sites only are high value site (more than or equal to 45) when the 5th class site, so 202 sites belong to the 5th class site.Should strengthen supporting, can consider to increase site terminal device and ATM.
According to analysis result, the banking terminal device load balancing apparatus can demonstrate the net period of the high value degree that needs the increase terminal device; Can also in conjunction with layout map and the class indication of site to be analyzed, show increasing peripheral site terminal device.
Take 121 sites as example, it belongs to high value site, and sales counter and ATM are busier, and service pressure is obviously alleviated after increasing Possum in this site, effectively solves the custom queueing problem.
Like this, just can carry out to the site division of science by cluster analysis, and analyse reason for the type classification of dividing, and make targetedly improvement strategy, this helps to improve the bank service quality, by increasing the measures such as sales counter or ATM, help to solve custom queueing and bank service problem.
Analysis result according to the present invention provides technical support for the layout of banking terminal device, finally realizes the load balancing of terminal device, reaches the effect of saving equipment investment, making the best use of everything.
Can find out from technique scheme, the present invention has following beneficial effect:
(1) by terminal device utilization factor, busy idle condition etc. are analyzed, the situation of terminal device skewness in the system is adjusted according to actual needs more in good time; The terminal device low to the value degree realizes that automatically front end closes down, and the site of terminal device deficiency then provides the information for supporting some decision such as net period that need accurately to increase terminal device to the value degree is high.Finally solve the problem of terminal device skewness and the wasting of resources, realized the load balancing of terminal device, improved the load processing power of system, reached the purpose of saving equipment investment, making the best use of everything.
(2) genetic algorithm that the present invention is based on is of very high actual application value.Except carrying out to design association rules mining algorithm the cluster analysis to bank data, has preferably applicability.For the cluster analysis of bank data, it is also conceivable that and adopt the fuzzy evaluation algorithm that the result is further excavated, help like this to draw the more conclusion of science.Also can judge which top-tier customer with its direct application in the marketing of banking, which is common customer; Bank can according to different clients, provide different marketing strategies.
Used specific embodiment among the present invention principle of the present invention and embodiment are set forth, the explanation of above embodiment just is used for helping to understand method of the present invention and core concept thereof; Simultaneously, for one of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (5)
1. a banking terminal device SiteServer LBS is characterized in that, described system comprises: bank outlets' server, transaction terminal and load balancing apparatus;
Described bank outlets server is connected with described transaction terminal and load balancing apparatus respectively; Wherein, described load balancing apparatus comprises:
The sample data collecting unit is used for the transaction data by the described transaction terminal of described bank outlets' collection of server, and the transaction data that gathers is cleared up and Screening Treatment, generates sample data;
The dendrogram generation unit is used for described sample data is carried out the cluster analysis processing of data normalization processing and genetic algorithm, generates the bank outlets' two dimension dendrogram that comprises net period, site type and transaction terminal value degree;
Information output unit is used for site type and transaction terminal value degree according to described bank outlets two dimension dendrogram, and output comprises the increase transaction terminal information of corresponding net period, and/or output comprises the transaction terminal stop instruction information of corresponding net period;
Information display unit is used for showing described increase transaction terminal information;
Described bank outlets server receives described transaction terminal stop instruction information, and controls described transaction terminal and shut down.
2. system according to claim 1 is characterized in that, described information display unit also is used for showing described bank outlets two dimension dendrogram.
3. system according to claim 2 is characterized in that, described information display unit also comprises:
The class indication generation module is used for the class indication according to the site type generation bank outlets of described bank outlets two dimension dendrogram;
The electronic chart memory module is used for storage bank outlets layout electronic chart;
Described information display unit is used for described class indication is presented at bank outlets' layout electronic chart.
4. system according to claim 1 is characterized in that, described information output unit comprises:
The threshold value comparison module; be used for judging that whether described transaction terminal value degree is greater than threshold value; the increase transaction terminal information that is if it is comprised corresponding net period by the output of described information output unit is if otherwise comprised the transaction terminal stop instruction information of corresponding net period by described information output unit output.
5. system according to claim 1 is characterized in that, described transaction terminal comprises: cabinet face terminal and self-aided terminal.
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| CN2011104067825A CN102521925B (en) | 2011-12-08 | 2011-12-08 | Load balancing method and system of bank terminal device |
| PCT/CN2012/086174 WO2013083079A1 (en) | 2011-12-08 | 2012-12-07 | Load balancing method and system for bank terminal equipment |
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| CN2011104067825A CN102521925B (en) | 2011-12-08 | 2011-12-08 | Load balancing method and system of bank terminal device |
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| CN102521925B (en) * | 2011-12-08 | 2013-10-23 | 中国工商银行股份有限公司 | Load balancing method and system of bank terminal device |
| CN107832134B (en) * | 2017-11-24 | 2021-07-20 | 平安科技（深圳）有限公司 | Multitasking method, application server and storage medium |
| TWI703528B (en) * | 2018-01-15 | 2020-09-01 | 玉山商業銀行股份有限公司 | Method for visualizing operational performance of automated teller machine |
| CN109657939B (en) * | 2018-12-03 | 2023-05-02 | 中国银行股份有限公司 | Transaction complement balancing method and device |
| CN110009148A (en) * | 2019-04-01 | 2019-07-12 | 南京光普信息技术有限公司 | A kind of retail units method for optimizing configuration |
| CN110308983B (en) * | 2019-04-19 | 2022-04-05 | 中国工商银行股份有限公司 | Resource load balancing method and system, service node and client |
| CN112037019B (en) * | 2020-09-01 | 2024-02-27 | 中国银行股份有限公司 | Method and device for allocating self-service equipment of banking outlets |
| CN113012336A (en) * | 2021-03-30 | 2021-06-22 | 中信银行股份有限公司 | Queuing reservation method of banking business and device, storage medium and equipment thereof |
| CN113157460B (en) * | 2021-05-20 | 2023-06-30 | 苏州达家迎信息技术有限公司 | Service node splitting method and device, storage medium and electronic equipment |
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