CN116701153B - Evaluation method and device of settlement service performance, electronic equipment and storage medium - Google Patents
Evaluation method and device of settlement service performance, electronic equipment and storage medium Download PDFInfo
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- G—PHYSICS
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- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3409—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
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- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/302—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a software system
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3452—Performance evaluation by statistical analysis
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Abstract
The invention provides a method, a device, an electronic device and a storage medium for evaluating settlement service performance, which are applied to a settlement system with a plurality of processing devices, wherein the settlement system is provided with a capacity expansion and/or contraction operation mechanism of the processing devices, and the method comprises the following steps: acquiring settlement service processing amounts at all moments in a first time period to obtain a moment-settlement service processing amount histogram; determining a bar column with settlement service throughput larger than a preset throughput threshold as a first bar column; determining the area of the first bar column as a first evaluation area; determining that the bar column with settlement service throughput less than or equal to the throughput threshold is a second bar column according to the time-settlement service throughput histogram, and determining that the defect area of the second bar column relative to the first bar column is a second evaluation area; and dividing the second evaluation area by the first evaluation area to obtain an evaluation value, and determining an evaluation result according to the evaluation value. The invention can obtain the evaluation result of the balance capability of the calculation system with high accuracy.
Description
Technical Field
The embodiment of the invention relates to the technical field of operation and maintenance of settlement systems, in particular to a settlement service performance evaluation method, a settlement service performance evaluation device, electronic equipment and a storage medium.
Background
Compared with the peak settlement service processing capability of the settlement system, the balance capability (the processing capability in the balance state, which represents the balance level of the settlement service processing capability in a period of time) of the settlement system can be maintained for a longer time, and the real settlement service processing capability of the settlement server can be reflected. The defect of transaction processing capability is often hidden behind the balance capability difference of the settlement system, and the evaluation result of the balance capability can also effectively guide a user to improve and optimize the settlement system. Thus, equalization capability is an important performance indicator of the settlement system.
Currently, the evaluation method of the settlement system mostly adopts indexes such as variance, standard deviation and the like of settlement service processing capacity in a preset time period to determine the balance capability of the settlement system.
However, based on modern system architecture designs and practices, settlement systems are often provided with processing device expansion and/or contraction computing mechanisms. Under the capacity expansion and/or contraction operation mechanism, the number of processing devices participating in operation service in the settlement system is fluctuant, so that the settlement service processing amounts at each running time have no comparability, and the accuracy of an evaluation result obtained by the conventional evaluation method for determining the balance capability of the settlement system through indexes such as variance, standard deviation and the like is low.
Disclosure of Invention
The embodiment of the invention provides a method, a device, electronic equipment and a storage medium for evaluating settlement service performance, which are used for solving the problem that the accuracy of an evaluation result obtained by the conventional evaluation method for determining the balance capacity of a settlement system through indexes such as variance, standard deviation and the like is low.
In order to solve the technical problems, the invention is realized as follows:
in a first aspect, an embodiment of the present invention provides a method for evaluating performance of a settlement service, which is applied to a settlement system having a plurality of processing devices, where the settlement system has a capacity expansion and/or contraction operation mechanism of the processing devices, and the method includes:
acquiring settlement service processing amounts at all moments in a first time period, and obtaining a moment-settlement service processing amount histogram;
according to the moment-settlement service processing capacity histogram, determining that a bar column with settlement service processing capacity larger than a preset processing capacity threshold value is a first bar column;
determining the area of the first bar column as a first evaluation area;
according to the time-settlement service handling capacity histogram, determining that a bar column with settlement service handling capacity smaller than or equal to the handling capacity threshold is a second bar column, and determining that the defect area of the second bar column relative to the first bar column is a second evaluation area;
Dividing the second evaluation area by the first evaluation area to obtain an evaluation value, and determining an evaluation result according to the evaluation value.
Alternatively, the process may be carried out in a single-stage,
determining the defective area of the second bar column relative to the first bar column as a second evaluation area, comprising:
initializing: determining an index progressive from an initial time to a final time in the first time period as a first index, and determining an index progressive from the final time to the initial time in the first time period as a second index; determining an initial area to be 0;
and a circulation control step: judging whether the first index value of the current first index is smaller than the second index value of the current second index or not, and obtaining a judging result; if the judging result is that the first index value is smaller than the second index value, determining whether the first area corresponding to the current first index is smaller than or equal to the second area corresponding to the current second index according to the time-settlement service throughput histogram; if the judging result is that the first index value is not smaller than the second index value, determining that the current initial area is the second evaluation area;
the first execution step: if the current first area is smaller than or equal to the current second area, determining whether the history maximum first area corresponding to the history first index is larger than the current first area; if the history maximum first area is larger than the current first area, determining a first difference area between the history maximum first area and the current first area, and updating the initial area by the sum of the current initial area and the first difference area; if the historical maximum first area is not larger than the current first area, updating the historical maximum first area with the current first area; the current first index is advanced by one bit, and the circulation control step is returned until the judgment result is that the first index value is not smaller than the second index value;
And a second execution step: if the current first area is larger than the current second area, determining whether the historical maximum second area corresponding to the historical second index is larger than the current second area; if the history maximum second area is larger than the current second area, determining a second difference area between the history maximum second area and the current second area, and updating the initial area by the sum of the current initial area and the second difference area; if the historical maximum second area is not larger than the current second area, updating the historical maximum second area with the current second area; and advancing the current second index by one bit, and returning to the circulation control step until the judgment result is that the first index value is not smaller than the second index value.
Alternatively, the process may be carried out in a single-stage,
the settlement system is a settlement server, and the processing device is a processor unit.
Alternatively, the process may be carried out in a single-stage,
the settlement system is a settlement server cluster, and the processing device is a settlement server.
In a second aspect, an embodiment of the present invention provides an evaluation device for performance of a settlement service, which is applied to a settlement system having a plurality of processing devices, where the settlement system has a capacity expansion and/or contraction operation mechanism of the processing devices, and the evaluation device includes:
The acquisition module is used for acquiring settlement service processing amounts at all moments in a first time period and obtaining a moment-settlement service processing amount histogram;
the first execution module is used for determining that the bar column with settlement service processing capacity larger than a preset processing capacity threshold value is a first bar column according to the moment-settlement service processing capacity histogram;
the first execution module is further used for determining the area of the first bar column as a first evaluation area;
the second execution module is used for determining that the bar column with settlement service handling capacity smaller than or equal to the handling capacity threshold value is a second bar column according to the moment-settlement service handling capacity histogram, and determining that the defect area of the second bar column relative to the first bar column is a second evaluation area;
the second execution module is further configured to divide the second evaluation area by the first evaluation area to obtain an evaluation value, and determine an evaluation result according to the evaluation value.
Alternatively, the process may be carried out in a single-stage,
the second execution module is further configured to initialize: determining an index progressive from an initial time to a final time in the first time period as a first index, and determining an index progressive from the final time to the initial time in the first time period as a second index; determining an initial area to be 0;
The second execution module is further configured to cycle the controlling step: judging whether the first index value of the current first index is smaller than the second index value of the current second index or not, and obtaining a judging result; if the judging result is that the first index value is smaller than the second index value, determining whether the first area corresponding to the current first index is smaller than or equal to the second area corresponding to the current second index according to the time-settlement service throughput histogram; if the judging result is that the first index value is not smaller than the second index value, determining that the current initial area is the second evaluation area;
the second execution module is further configured to perform the first execution step: if the current first area is smaller than or equal to the current second area, determining whether the history maximum first area corresponding to the history first index is larger than the current first area; if the history maximum first area is larger than the current first area, determining a first difference area between the history maximum first area and the current first area, and updating the initial area by the sum of the current initial area and the first difference area; if the historical maximum first area is not larger than the current first area, updating the historical maximum first area with the current first area; the current first index is advanced by one bit, and the circulation control step is returned until the judgment result is that the first index value is not smaller than the second index value;
The second execution module is further configured to perform the second execution step: if the current first area is larger than the current second area, determining whether the historical maximum second area corresponding to the historical second index is larger than the current second area; if the history maximum second area is larger than the current second area, determining a second difference area between the history maximum second area and the current second area, and updating the initial area by the sum of the current initial area and the second difference area; if the historical maximum second area is not larger than the current second area, updating the historical maximum second area with the current second area; and advancing the current second index by one bit, and returning to the circulation control step until the judgment result is that the first index value is not smaller than the second index value.
Alternatively, the process may be carried out in a single-stage,
the settlement system is a settlement server, and the processing device is a processor unit.
Alternatively, the process may be carried out in a single-stage,
the settlement system is a settlement server cluster, and the processing device is a settlement server.
In a third aspect, an embodiment of the present invention provides an electronic device, including a processor, a memory, and a program or an instruction stored on the memory and executable on the processor, the program or the instruction implementing the steps in the evaluation method for settlement service performance according to any one of the first aspects when executed by the processor.
In a fourth aspect, an embodiment of the present invention provides a readable storage medium having stored thereon a program or instructions which, when executed by a processor, implement the steps in the evaluation method of settlement service performance according to any one of the first aspects.
In the embodiment of the invention, a time-settlement service processing amount histogram is obtained by acquiring settlement service processing amounts at all times in a first time period; according to the moment-settlement service processing capacity histogram, determining that a bar column with settlement service processing capacity larger than a preset processing capacity threshold value is a first bar column; determining the area of the first bar column as a first evaluation area; according to the time-settlement service handling capacity histogram, determining that a bar column with settlement service handling capacity smaller than or equal to the handling capacity threshold is a second bar column, and determining that the defect area of the second bar column relative to the first bar column is a second evaluation area; dividing the second evaluation area by the first evaluation area to obtain an evaluation value, and determining an evaluation result according to the evaluation value. According to the technical scheme of obtaining the evaluation value by dividing the second evaluation area by the first evaluation area, the problem that the existing evaluation method is inaccurate in evaluating an evaluation system with a processing device capacity expansion and/or contraction operation mechanism is solved, and high-accuracy evaluation results can be ensured.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
FIG. 1 is a flow chart of a method for evaluating performance of a settlement service according to an embodiment of the invention;
FIG. 2 is a time-of-day-settlement service throughput histogram;
FIG. 3 is a schematic diagram of a request processing table;
FIG. 4 is a second flow chart of a method for evaluating performance of a settlement service according to the embodiment of the invention;
FIG. 5 is a schematic block diagram of an evaluation device for settlement service performance according to the embodiment of the invention;
fig. 6 is a functional block diagram of an electronic device according to an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and fully with reference to the accompanying drawings, in which it is evident that the embodiments described are some, but not all embodiments of the invention. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
The embodiment of the invention provides a method for evaluating the performance of a settlement service, which is applied to a settlement system with a plurality of processing devices, wherein the settlement system is provided with a capacity expansion and/or contraction operation mechanism of the processing devices, as shown in fig. 1, fig. 1 is one of flow diagrams of the method for evaluating the performance of the settlement service in the embodiment of the invention, and the method for evaluating the performance of the settlement service comprises the following steps:
step 11: acquiring settlement service processing amounts at all moments in a first time period, and obtaining a moment-settlement service processing amount histogram;
step 12: determining a bar column with settlement service throughput greater than a preset throughput threshold as a first bar column according to the time-settlement service throughput histogram;
step 13: determining the area of the first bar column as a first evaluation area;
step 14: according to the time-settlement service handling capacity histogram, determining that the strip column with the settlement service handling capacity smaller than or equal to the handling capacity threshold is a second strip column, and determining that the defect area of the second strip column relative to the first strip column is a second evaluation area;
step 15: and dividing the second evaluation area by the first evaluation area to obtain an evaluation value, and determining an evaluation result according to the evaluation value.
In some embodiments of the present invention, the first time period may alternatively be a time period specifically set by the user according to the evaluation needs. For example: the user receives the alarm sent by the settlement system at a certain time A, and can set the time B as a first time period, wherein the time A is positioned in the time B; and executing the subsequent steps 12 to 15 based on the time period B, so that the user can analyze and check the alarm reason at the time A, and the purpose of evaluating the alarm reason is realized. For example: the user needs to evaluate the operation performance of the settlement system, but the calculation power resources required for realizing the performance evaluation according to the settlement service processing capacity of the settlement system in all operation time periods are huge, and the great manpower cost and time cost are required to be consumed; the user can set a sampling rule, and at least one sample time period in all the running time periods is determined according to the sampling rule, wherein the at least one sample time period is the first time period; the subsequent steps 12 to 15 are executed based on at least one sample period, so that the user can achieve the purpose of evaluating the running performance of the settlement system, and the problem of high cost (high computational effort input cost, high personnel cost and high time cost) caused by performance evaluation according to settlement service throughput of all running periods is avoided.
In some embodiments of the invention, the throughput threshold is optionally 0.
In practical applications, in a settlement system having a capacity expansion and/or contraction calculation mechanism, the time when a processing device for expansion or contraction accesses a settlement service (also called network access) is different, and the processing capacity of the settlement system for the settlement service is not stepped up or down sequentially, so that the settlement service processing amount at a part of time shown in fig. 2 is 0, as shown in fig. 2. In practice, the partial settlement system also performs a batch scheme, i.e., the settlement service is not processed in real time. Specifically, under the condition of small settlement service quantity, the settlement system waits for settlement services to reach the preset processing quantity, and the settlement services with all the processing quantity are processed at one time; when the amount of settlement services is large, the settlement services in the queuing queue are processed in batches according to the priority of the settlement services or the generation time of the settlement services. For example: the settlement service with high priority is arranged at the front end of the queue for priority treatment; and (3) arranging settlement services with the front generation time (the front generation time and the long waiting time for being processed) to the front end of the queue for preferential treatment. Since the batch processing scheme is executed, the processing amount of the settlement system for executing the settlement service is not stepwise and sequentially increased or decreased, and the processing capacity of the settlement system for executing the settlement service is not stepwise and sequentially increased or decreased, the settlement service processing amount at a part of time as shown in fig. 2 may be 0. Based on the above situation, the present example sets the throughput threshold to 0, and evaluates the throughput threshold close to the actual running situation of the settlement system, which is favorable for obtaining a high-accuracy evaluation result.
In the steps 12 and 13 of the embodiment of the present invention, a specific scheme of the first bar column is determined, which may be to read each pixel coordinate value in the electronic image of the moment-settlement service throughput histogram obtained in the step 11, and to position the bar column contour with high accuracy according to the pixel coordinate value, so as to obtain a positioning value of the contour; as high-accuracy positioning is realized, the positioning value of the contour is compared with the coordinate value of the ordinate in the histogram, the bar column with the positioning value at the top of the contour larger than the coordinate value of the ordinate corresponding to the processing capacity threshold is determined to be the first bar column, and the first bar column is determined with high accuracy, so that the first evaluation area with high accuracy is obtained. It will be appreciated that calculating the area of the first bar based on the location values of the contours also enables a high accuracy of the first estimated area.
In some embodiments, determining the specific scheme of the first bar may further include inputting the time-settlement service throughput histogram into a pre-trained image recognition algorithm, classifying the graphics in the histogram by the image recognition algorithm, and determining the first bar; it will be appreciated that the use of an image recognition algorithm can effectively improve the efficiency of determining the first bar. The specific way of inputting the time-settlement service throughput histogram into the pre-trained image recognition algorithm may be a way of shooting the time-settlement service throughput histogram by using a camera of a mobile terminal (for example, a smart phone) which is deployed with the pre-trained image recognition algorithm, so that the shot time-settlement service throughput histogram can be directly subjected to image recognition; the electronic image of the time-settlement service throughput histogram may be input to a server provided with a pre-trained image recognition algorithm.
Embodiments of the invention are explained below with reference to specific examples:
the throughput threshold in this example is 0.
Referring to fig. 2, since the throughput threshold is 0, all the bar columns in fig. 2 are first bar columns; the first evaluation area is the sum of the areas of all the bar columns; if the throughput threshold is 0, the second bar is the bar corresponding to the settlement service throughput of 0 in fig. 2 (i.e., the bar for which the settlement service throughput is equal to the throughput threshold is determined to be the second bar in this example), the area filled with the dotted line in fig. 2 indicates the defective area, and the area of all defective areas is the defective area, so the second evaluation area is the sum of the areas of all areas filled with the dotted line. Specifically, in this example, the width value of each bar column is 1, the height value of each bar column corresponds to settlement service throughput at each moment in the first time period, and then the width value of each bar column is multiplied by the height value of each bar column to obtain the area of each bar column, and the first evaluation area is the sum of the areas of all bar columns.
In this example, the capacity of the settlement system for processing the settlement task is defined as the balance capacity level (i.e., the evaluation result is the balance capacity level), and is denoted as btput (Balance of Transactions Per Unit Time), specifically, the ratio of the sum da of the areas of the deficiency (i.e., the defective area, which corresponds to the second evaluation area in the embodiment of the present invention) to the sum ta of the areas of the bar column itself (transactions area, which corresponds to the first evaluation area in the embodiment of the present invention), which is:
btput= da/ta；
Wherein a larger value of btput indicates a poorer equalization capability.
Specifically, in this example, the btput calculation is implemented in an interface call form, which includes a) an interface definition module, B) an operation flow module, C) a parameter anomaly checking module, D) a calculation ta module, E) a calculation da module, and F) a calculation btput module. Wherein:
a) An interface definition module:
providing services in the form of an HTTP interface;
request address: the// system template/BtputCalif.;
request protocol: a POST;
request parameters:
a1, requestno, which represents a request number, generally consists of an identifier of a calling service and a timestamp, has global uniqueness and is a non-empty character string;
a2, tset, which represents a group of transaction processing amounts per unit time (namely, the transaction processing amounts corresponding to settlement service processing amounts at each moment in the first time period in the embodiment of the invention) in a specified time period, is a group of non-negative integer arrays;
a3, a callbackURL, which represents an HTTP address where the caller receives the processing calculation result; returns a value for the non-null string: btput, which represents the level of transaction balance in the system, is a floating point type value. Abnormal return information: there are already the request, illegal callback address, exception beyond maximum number, exception beyond minimum number.
B) The operation flow module comprises the following steps of B1 to B5:
b1, calling an interface BtputCallcate by an external service through a POST protocol, and transmitting input parameters requestno, tset and callbackURL;
b2, carrying out exception checking on the parameters requestno, tset and the callbackURL, and judging whether the exception exists or not;
b3, if the abnormality exists, throwing out the abnormality, and ending the flow;
b4, if no abnormality exists, ta and da are calculated;
and B5, calculating btput according to ta and da obtained in the step B4, and returning the calculation result to the external service.
C) The parameter anomaly checking module comprises the following steps of C1 to C4:
c1, inquiring whether the same requestno exists in a request processing table according to the received requestno; if the same requestno exists, returning that the request exception (ExistException) exists, and ending the flow; if the same requestno does not exist, checking whether the callbackURL is a legal HTTP address;
if not, returning an illegal callback address exception (IllagelCallBackURLExreception) to end the flow; if the number of the elements is legal, the length of the tset array, namely the number of the array elements, is recorded as L, and whether the L is smaller than 3 is judged (in the example, 3 is the minimum element number of test, namely the settlement service processing amount at each moment in the first time period is at least 3 moment settlement service processing amounts, and the reason for the minimum element number of 3 is that 2 or 1 elements cannot have a defect area);
If the number of the faults is smaller than 3, throwing out the faults exceeding the minimum number (OutOFMixException), and ending the flow; if not less than 3, judging whether L is greater than a preset maximum element number threshold;
c4, if the number of the elements is larger than the element number threshold, throwing out an abnormality exceeding the maximum number (OutOFMaxException), and ending the flow; if the number of the elements is not greater than the element number threshold, the request is stored into the request processing table through parameter exception checking, and the recording state is to be processed.
Referring to fig. 3, fig. 3 is a schematic diagram of a request processing table, where the request processing table includes: request number, transaction amount array, callback address, status, and balancing level (i.e., balancing capability level, btput). In this example, a timed task may be set, namely: and acquiring a task to be processed from the request processing table at intervals of a preset processing time (namely, the task with the state part of 'to be processed' in the request processing table), modifying the state of the task to be processed into 'in process', starting to calculate the task to be processed (calling a calculation ta module and a calculation da module, determining the equalizing capacity level btput according to the calculation results of the two modules), and determining the equalizing capacity level btput.
D) The ta module is calculated and comprises the following steps D1 to D4:
d1, starting traversing the groups tset, and initializing parameters: ta=0, index i=0;
D2、ta=ta+tset[i]；
D3、i=i+1；
and D4, judging whether i is larger than L, if so, ending the traversal, otherwise, returning to the step D2, and continuing traversing the array.
E) The calculating da module comprises the following steps of E1 to E5:
e1, initializing parameters: da=0, left column maximum value leftmax=0, right column maximum value right tmax=0, left column index left=0, right column index rifht=l-1;
e2, judging whether the left column sub-index is smaller than the right column sub-index, namely judging whether left is smaller than right; if left is not less than right, ending the flow; if left is less than right, the following steps E3 to E6 are performed:
e3, judging whether the value of the left column is smaller than or equal to the value of the right column, namely judging whether tset [ left ] is smaller than tset [ right ].
E4, if tset [ left ] is smaller than tset [ right ], judging whether the maximum value of the left column is larger than that of the left column, namely judging whether the leftmax is larger than tset [ left ]; if leftmax is greater than tset [ left ], then da is accumulated, i.e., da=da+ (leftmax-tset [ left ]); if leftmax is not greater than tset [ left ], then leftmax is updated, i.e., leftmax=tset [ left ]. Then, the left column index is shifted rightward, i.e., left=left+1, and the process returns to step E2;
E5, if tset [ left ] is not less than tset [ right ], judging whether the maximum value of the right column is greater than the value of the right column, namely judging whether the right max is greater than tset [ right ]; if right tmax is greater than tset [ right ], da is accumulated, i.e., da=da+ (right tmax-tset [ right ]); if the right tmax is not greater than tset [ right ], the right tmax is updated, i.e., right tmax=tset [ right ]. Thereafter, the right column sub-index is shifted to the left, i.e., right=right-1, and the process returns to step E2.
F) The btput module is calculated, comprising the following steps F1 to F4:
f1, inputting ta obtained by the D) ta calculating module and da obtained by the E) da calculating module into a formula btput=da/ta, and calculating to obtain btput;
f2, updating the btput into a request processing table according to the requestno of the processing task of the current time;
f3, returning the calculation result to the external calling service according to the callback address of the processing task;
and F4, modifying the state of the processing task of the current time into 'successful processing', and ending the flow.
Since the settlement system has a processing device capacity expansion and/or contraction calculation mechanism, the average settlement service processing capability of the settlement system is in fluctuation. At different moments, the average level of the settlement service processing capability of the settlement system does not have consistency under different pressure scenes, so that the equilibrium level of the processing capability of the system cannot be accurately estimated by adopting variance and standard deviation. According to the embodiment of the invention, the second evaluation area is divided by the first evaluation area to obtain the evaluation value, the evaluation result is determined according to the evaluation value, the change of the settlement service handling capacity is approximately smooth, the unbalanced settlement service handling capacity is approximately the missing area, the evaluation result is obtained in an area ratio mode, the problem that the balance level of the system processing capacity cannot be accurately evaluated by adopting variance and standard deviation is avoided, and the evaluation result with high accuracy can be obtained.
In the embodiment of the invention, a time-settlement service processing amount histogram is obtained by acquiring settlement service processing amounts at all times in a first time period; determining a bar column with settlement service throughput greater than a preset throughput threshold as a first bar column according to the time-settlement service throughput histogram; determining the area of the first bar column as a first evaluation area; according to the time-settlement service handling capacity histogram, determining that the strip column with the settlement service handling capacity smaller than or equal to the handling capacity threshold is a second strip column, and determining that the defect area of the second strip column relative to the first strip column is a second evaluation area; and dividing the second evaluation area by the first evaluation area to obtain an evaluation value, and determining an evaluation result according to the evaluation value. According to the technical scheme of obtaining the evaluation value by dividing the second evaluation area by the first evaluation area, the problem that the existing evaluation method is inaccurate in evaluating an evaluation system with a processing device capacity expansion and/or contraction operation mechanism is solved, and high-accuracy evaluation results can be ensured.
In some embodiments of the present invention, optionally, referring to fig. 4, fig. 4 is a second flowchart of a method for evaluating settlement service performance according to an embodiment of the present invention, determining a defect area of the second bar column relative to the first bar column as a second evaluation area includes:
Initializing step 21: determining an index which progresses from an initial time to a final time in a first time period as a first index, and determining an index which progresses from the final time to the initial time in the first time period as a second index; determining an initial area to be 0;
loop control step 22: judging whether the first index value of the current first index is smaller than the second index value of the current second index or not, and obtaining a judging result; if the judgment result is that the first index value is smaller than the second index value, determining whether the first area corresponding to the current first index is smaller than or equal to the second area corresponding to the current second index according to the time-settlement service throughput histogram; if the judgment result is that the first index value is not smaller than the second index value, determining the current initial area as a second evaluation area;
the first execution step 23: if the current first area is smaller than or equal to the current second area, determining whether the history maximum first area corresponding to the history first index is larger than the current first area; if the history maximum first area is larger than the current first area, determining a first difference area between the history maximum first area and the current first area, and updating the initial area by the sum of the current initial area and the first difference area; if the history maximum first area is not larger than the current first area, updating the history maximum first area by the current first area; the current first index is advanced by one bit, and the loop control step 22 is returned until the first index value is not smaller than the second index value as a judgment result;
The second execution step 24: if the current first area is larger than the current second area, determining whether the history maximum second area corresponding to the history second index is larger than the current second area; if the history maximum second area is larger than the current second area, determining a second difference area between the history maximum second area and the current second area, and updating the initial area by the sum of the current initial area and the second difference area; if the historical maximum second area is not larger than the current second area, updating the historical maximum second area by the current second area; the current second index is incremented by one bit, and the loop control step 22 is returned until the first index value is not less than the second index value.
Embodiments of the present invention are explained below in conjunction with specific examples, in which E) the calculate da module includes the following steps E1 through E5:
e1, initializing parameters: da=0, left column maximum value leftmax=0, right column maximum value right tmax=0, left column sub index left=0, right column sub index rifht=l-1 (left column sub index corresponds to the first index in the embodiment of the present invention, right column sub index corresponds to the second index in the embodiment of the present invention);
E2, judging whether the left column sub-index is smaller than the right column sub-index, namely judging whether left is smaller than right (namely, judging whether a first index value of a current first index is smaller than a second index value of a current second index in the embodiment of the invention to obtain a judging result); if left is not less than right, ending the process (namely, if the judgment result is that the first index value is not less than the second index value, determining the current initial area as the second evaluation area); if left is smaller than right (i.e. corresponding to the case that the first index value is smaller than the second index value in the embodiment of the invention), the following steps E3 to E6 are executed:
e3, judging whether the value of the left column is smaller than or equal to the value of the right column, namely judging whether tset [ left ] is smaller than tset [ right ] (namely, the method is equivalent to a time-settlement service processing amount histogram according to the embodiment of the invention, and determining whether the first area corresponding to the current first index is smaller than or equal to the second area corresponding to the current second index);
e4, if tset [ left ] is smaller than tset [ right ], judging whether the maximum value of the left column is larger than the value of the left column, namely judging whether the leftmax is larger than tset [ left ] (namely, if the current first area is smaller than or equal to the current second area in the embodiment of the invention, determining whether the maximum first area of the history corresponding to the first index of the history is larger than the current first area); if leftmax is greater than tset [ left ], then add da, i.e., da=da+ (leftmax-tset [ left ]) (i.e., corresponding to the embodiment of the present invention, if the history maximum first area is greater than the current first area, determine the first difference area between the history maximum first area and the current first area, and update the initial area with the sum of the current initial area and the first difference area); if the leftmax is not greater than tset [ left ], then the leftmax is updated, i.e., leftmax=tset [ left ] (i.e., corresponding to the case where the history maximum first area is not greater than the current first area, the history maximum first area is updated with the current first area in the embodiment of the present invention). Then, the left column index is moved to the right, i.e. left=left+1, and the process returns to step E2 (i.e. the process corresponds to one step of advancing the current first index in the embodiment of the present invention, and returns to the loop control step 22 until the first index value is not less than the second index value in the judgment result);
E5, if tset [ left ] is not less than tset [ right ], judging whether the maximum value of the right column is greater than the value of the right column, namely judging whether the right max is greater than tset [ right ] (namely, if the current first area is greater than the current second area, determining whether the historical maximum second area corresponding to the historical second index is greater than the current second area; if the right tmax is greater than tset [ right ], then da is added (i.e., da=da+ (right tmax-tset [ right ]) (i.e., corresponding to the case that the history maximum second area is greater than the current second area in the embodiment of the present invention, determining the second difference area between the history maximum second area and the current second area, and updating the initial area with the sum of the current initial area and the second difference area); if the right tmax is not greater than tset [ right ], the right tmax is updated, i.e., right tmax=tset [ right ] (i.e., corresponding to the case where the history maximum second area is not greater than the current second area in the embodiment of the present invention, the history maximum second area is updated with the current second area). Then, the right column index is shifted to the left, i.e. right=right-1, and the process returns to step E2 (i.e. the present second index is incremented by one bit in the embodiment of the present invention), and the loop control step 22 is returned until the first index value is not less than the second index value.
In the embodiment of the invention, the second evaluation area can be accurately obtained by adopting the initialization step 21, the circulation control step 22, the first execution step 23 and the second execution step 24, so that a solid foundation is laid for obtaining the high-accuracy evaluation value according to the first evaluation area and the second evaluation area later, and the high-accuracy evaluation result is ensured to be obtained.
In some embodiments of the invention, optionally, the settlement system is a settlement server and the processing means is a processor unit.
In the embodiment of the invention, the settlement system is a settlement server, and the processing device is a processor unit, that is, the settlement server can dynamically expand and/or contract the volume of the processor unit for executing settlement service processing in the settlement server according to the number of settlement services. The embodiment of the invention can evaluate the balance capability level of the settlement server.
In some embodiments of the invention, the method, optionally,
the settlement system is a settlement server cluster, and the processing device is a settlement server.
In the embodiment of the invention, the settlement system is a settlement server cluster, and the processing device is a settlement server, namely the settlement server cluster can dynamically expand and/or contract the capacity of the settlement servers for executing settlement service processing in the settlement server cluster according to the quantity of the settlement services. The embodiment of the invention can evaluate the balance capability level of the settlement server cluster.
The present embodiment provides an evaluation device for performance of settlement service, which is applied to a settlement system having a plurality of processing devices, wherein the settlement system has a capacity expansion and/or contraction operation mechanism of the processing devices, as shown in fig. 5, fig. 5 is a schematic block diagram of the evaluation device for performance of settlement service according to the embodiment of the present invention, and the evaluation device 50 includes:
an obtaining module 51, configured to obtain settlement service processing amounts at each moment in a first period, and obtain a moment-settlement service processing amount histogram;
a first execution module 52, configured to determine, according to the time-settlement service throughput histogram, that a bar column with a settlement service throughput greater than a preset throughput threshold is a first bar column;
the first execution module 52 is further configured to determine an area of the first bar pillar as a first evaluation area;
a second execution module 53, configured to determine, according to the time-settlement service throughput histogram, that a bar column with a settlement service throughput less than or equal to the throughput threshold is a second bar column, and determine that a defect area of the second bar column relative to the first bar column is a second evaluation area;
the second execution module 53 is further configured to divide the second evaluation area by the first evaluation area to obtain an evaluation value, and determine an evaluation result according to the evaluation value.
In some embodiments of the invention, the method, optionally,
the second execution module 53 is further configured to initialize: determining an index progressive from an initial time to a final time in the first time period as a first index, and determining an index progressive from the final time to the initial time in the first time period as a second index; determining an initial area to be 0;
the second execution module 53 is further configured to loop control the steps of: judging whether the first index value of the current first index is smaller than the second index value of the current second index or not, and obtaining a judging result; if the judging result is that the first index value is smaller than the second index value, determining whether the first area corresponding to the current first index is smaller than or equal to the second area corresponding to the current second index according to the time-settlement service throughput histogram; if the judging result is that the first index value is not smaller than the second index value, determining that the current initial area is the second evaluation area;
the second execution module 53 is further configured to perform the first execution step: if the current first area is smaller than or equal to the current second area, determining whether the history maximum first area corresponding to the history first index is larger than the current first area; if the history maximum first area is larger than the current first area, determining a first difference area between the history maximum first area and the current first area, and updating the initial area by the sum of the current initial area and the first difference area; if the historical maximum first area is not larger than the current first area, updating the historical maximum first area with the current first area; the current first index is advanced by one bit, and the circulation control step is returned until the judgment result is that the first index value is not smaller than the second index value;
The second execution module 53 is further configured to perform the second execution step: if the current first area is larger than the current second area, determining whether the historical maximum second area corresponding to the historical second index is larger than the current second area; if the history maximum second area is larger than the current second area, determining a second difference area between the history maximum second area and the current second area, and updating the initial area by the sum of the current initial area and the second difference area; if the historical maximum second area is not larger than the current second area, updating the historical maximum second area with the current second area; and advancing the current second index by one bit, and returning to the circulation control step until the judgment result is that the first index value is not smaller than the second index value.
In some embodiments of the invention, the method, optionally,
the settlement system is a settlement server, and the processing device is a processor unit.
In some embodiments of the invention, the method, optionally,
the settlement system is a settlement server cluster, and the processing device is a settlement server.
The evaluation device for settlement service performance provided by the embodiment of the application can realize each process realized by the method embodiments of fig. 1 to 4 and achieve the same technical effects, and is not repeated here for avoiding repetition.
An embodiment of the present application provides an electronic device 60, referring to fig. 6, and fig. 6 is a schematic block diagram of the electronic device 60 according to the embodiment of the present application, including a processor 61, a memory 62, and a program or an instruction stored in the memory 62 and executable on the processor 61, where the program or the instruction implements steps in the evaluation method of any settlement service performance according to the present application when executed by the processor.
The embodiment of the present application provides a readable storage medium, on which a program or an instruction is stored, where the program or the instruction, when executed by a processor, implements each process of the embodiment of the method for evaluating a settlement service performance according to any one of the above embodiments, and can achieve the same technical effects, and in order to avoid repetition, a description is omitted herein.
Wherein the readable storage medium is selected from Read-Only Memory (ROM), random access Memory (Random Access Memory RAM), magnetic disk or optical disk.
The embodiments of the present invention have been described above with reference to the accompanying drawings, but the present invention is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present invention and the scope of the claims, which are to be protected by the present invention.
Claims (8)
1. A method for evaluating performance of a settlement service, which is applied to a settlement system having a plurality of processing devices, the settlement system having a processing device capacity expansion and/or contraction calculation mechanism, the method comprising:
acquiring settlement service processing amounts at all moments in a first time period, and obtaining a moment-settlement service processing amount histogram;
according to the moment-settlement service processing capacity histogram, determining that a bar column with settlement service processing capacity larger than a preset processing capacity threshold value is a first bar column;
determining the area of all the first bar columns as a first evaluation area;
according to the time-settlement service handling capacity histogram, determining that a bar column with settlement service handling capacity smaller than or equal to the handling capacity threshold is a second bar column, and determining that the defect area of the second bar column relative to the first bar column is a second evaluation area;
Dividing the second evaluation area by the first evaluation area to obtain an evaluation value, and determining an evaluation result according to the evaluation value;
determining the defective area of the second bar column relative to the first bar column as a second evaluation area, comprising:
initializing: determining an index progressive from an initial time to a final time in the first time period as a first index, and determining an index progressive from the final time to the initial time in the first time period as a second index; determining an initial area to be 0;
and a circulation control step: judging whether the first index value of the current first index is smaller than the second index value of the current second index or not, and obtaining a judging result; if the judging result is that the first index value is smaller than the second index value, determining whether the first area corresponding to the current first index is smaller than or equal to the second area corresponding to the current second index according to the time-settlement service throughput histogram; if the judging result is that the first index value is not smaller than the second index value, determining that the current initial area is the second evaluation area;
the first execution step: if the current first area is smaller than or equal to the current second area, determining whether the history maximum first area corresponding to the history first index is larger than the current first area; if the history maximum first area is larger than the current first area, determining a first difference area between the history maximum first area and the current first area, and updating the initial area by the sum of the current initial area and the first difference area; if the historical maximum first area is not larger than the current first area, updating the historical maximum first area with the current first area; the current first index is advanced by one bit, and the circulation control step is returned until the judgment result is that the first index value is not smaller than the second index value;
And a second execution step: if the current first area is larger than the current second area, determining whether the historical maximum second area corresponding to the historical second index is larger than the current second area; if the history maximum second area is larger than the current second area, determining a second difference area between the history maximum second area and the current second area, and updating the initial area by the sum of the current initial area and the second difference area; if the historical maximum second area is not larger than the current second area, updating the historical maximum second area with the current second area; and advancing the current second index by one bit, and returning to the circulation control step until the judgment result is that the first index value is not smaller than the second index value.
2. The evaluation method of settlement service performance according to claim 1, wherein:
the settlement system is a settlement server, and the processing device is a processor unit.
3. The evaluation method of settlement service performance according to claim 1, wherein:
the settlement system is a settlement server cluster, and the processing device is a settlement server.
4. An evaluation device for settlement service performance, which is applied to a settlement system having a plurality of processing devices, the settlement system having a processing device capacity expansion and/or contraction calculation mechanism, the evaluation device comprising:
the acquisition module is used for acquiring settlement service processing amounts at all moments in a first time period and obtaining a moment-settlement service processing amount histogram;
the first execution module is used for determining that the bar column with settlement service processing capacity larger than a preset processing capacity threshold value is a first bar column according to the moment-settlement service processing capacity histogram;
the first execution module is further used for determining the area of all the first bar columns as a first evaluation area;
the second execution module is used for determining that the bar column with settlement service handling capacity smaller than or equal to the handling capacity threshold value is a second bar column according to the moment-settlement service handling capacity histogram, and determining that the defect area of the second bar column relative to the first bar column is a second evaluation area; the second execution module is further configured to divide the second evaluation area by the first evaluation area to obtain an evaluation value, and determine an evaluation result according to the evaluation value;
The second execution module is further configured to initialize: determining an index progressive from an initial time to a final time in the first time period as a first index, and determining an index progressive from the final time to the initial time in the first time period as a second index; determining an initial area to be 0;
the second execution module is further configured to cycle the controlling step: judging whether the first index value of the current first index is smaller than the second index value of the current second index or not, and obtaining a judging result; if the judging result is that the first index value is smaller than the second index value, determining whether the first area corresponding to the current first index is smaller than or equal to the second area corresponding to the current second index according to the time-settlement service throughput histogram; if the judging result is that the first index value is not smaller than the second index value, determining that the current initial area is the second evaluation area;
the second execution module is further configured to perform the first execution step: if the current first area is smaller than or equal to the current second area, determining whether the history maximum first area corresponding to the history first index is larger than the current first area; if the history maximum first area is larger than the current first area, determining a first difference area between the history maximum first area and the current first area, and updating the initial area by the sum of the current initial area and the first difference area; if the historical maximum first area is not larger than the current first area, updating the historical maximum first area with the current first area; the current first index is advanced by one bit, and the circulation control step is returned until the judgment result is that the first index value is not smaller than the second index value;
The second execution module is further configured to perform the second execution step: if the current first area is larger than the current second area, determining whether the historical maximum second area corresponding to the historical second index is larger than the current second area; if the history maximum second area is larger than the current second area, determining a second difference area between the history maximum second area and the current second area, and updating the initial area by the sum of the current initial area and the second difference area; if the historical maximum second area is not larger than the current second area, updating the historical maximum second area with the current second area; and advancing the current second index by one bit, and returning to the circulation control step until the judgment result is that the first index value is not smaller than the second index value.
5. The evaluation device of settlement service performance according to claim 4, wherein:
the settlement system is a settlement server, and the processing device is a processor unit.
6. The evaluation device of settlement service performance according to claim 4, wherein:
the settlement system is a settlement server cluster, and the processing device is a settlement server.
7. An electronic device, characterized in that: comprising a processor, a memory and a program or instruction stored on the memory and executable on the processor, which when executed by the processor, implements the steps in the assessment method of settlement service performance as claimed in any one of claims 1 to 3.
8. A readable storage medium, characterized by: the readable storage medium stores thereon a program or instructions that when executed by a processor realize the steps in the evaluation method of settlement service performance according to any one of claims 1 to 3.
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