CN111626841A - Method, system and related equipment for monitoring online transaction - Google Patents
Method, system and related equipment for monitoring online transaction Download PDFInfo
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Abstract
The embodiment of the invention provides a method, a system and related equipment for monitoring online transactions, which relate to the technical field of monitoring, wherein the method comprises the following steps: judging whether the transaction amount of the current transaction in the current preset time period is smaller than a first threshold value; if yes, determining that the current transaction is a small sample online transaction, and processing the current transaction as follows: acquiring the accumulated transaction amount of the current transaction ending to the current moment in the current version period; determining whether the accumulated transaction amount reaches an accumulated threshold; if the accumulated transaction amount reaches an accumulated threshold value, counting the value of the monitoring index of the current transaction on the basis of the accumulated transaction amount; and carrying out alarm processing according to the value of the monitoring index and the monitoring alarm threshold value. Compared with the traditional monitoring method, the method can effectively monitor the small sample online transaction.
Description
Technical Field
The invention relates to the technical field of monitoring, in particular to a method, a system and related equipment for monitoring online transactions.
Background
The online transaction is a real-time dynamic transaction directly provided by a bank online transaction system, such as a transaction provided for a counter, a self-service device, various channels and the like, for example, a counter deposit and withdrawal, a loan, an ATM (automatic teller machine) withdrawal and the like. Monitoring online transactions and finding out abnormal events in time are important means for ensuring transaction quality.
In the prior art, online transactions are monitored mainly in the following ways:
1. and (4) detecting and monitoring the service, wherein the monitoring system initiates a simulated transaction to the online transaction system every several minutes, and gives an alarm when the simulated transaction is abnormal.
2. And monitoring evaluation index, namely monitoring the evaluation index value of the online transaction at a fixed second level or a fixed minute level by a monitoring system, such as monitoring the system success rate, the service success rate, the average processing time, the average response time and the like of the online transaction every minute, and alarming when the evaluation index value is lower than or higher than an alarm threshold value.
In the process of implementing the invention technical solution of the embodiment of the present application, the inventors of the present application found that the following defects exist in the above prior art:
the above prior art 1 is only applicable to a scenario where the whole online transaction system is unavailable, and cannot monitor a certain online transaction.
The above prior art 2 can monitor various online transactions, but the monitored evaluation indexes are all statistical indexes, and the higher the concurrency of the online transactions is, the larger the statistical quantity is, the more practical the value of the rating index is. However, the amount of the online transaction is divided into a small amount, when the amount of the online transaction is very low, i.e. when the online transaction is a small sample online transaction, an alarm is generated as long as there are several transaction anomalies, for example, the transaction amount per minute of a certain transaction is 5-10, and as long as there are 2-4 anomalies occasionally, the system success rate is reduced to 60%, and an alarm is generated. However, the transaction anomalies do not affect the availability of the whole system, and the alarm is an invalid alarm. For small sample online transactions, the number of invalid alarms is very large, and processing a large number of invalid alarms consumes a large amount of labor cost, but if the invalid alarms are not processed, abnormal events cannot be found.
Disclosure of Invention
The embodiment of the invention provides a method, a system and related equipment for monitoring online transactions, which can effectively monitor small sample online transactions and solve the problem that the small sample online transactions cannot be effectively monitored in the prior art.
A first aspect of an embodiment of the present invention provides a method of monitoring an online transaction, the method comprising:
judging whether the transaction amount of the current transaction in the current preset time period is smaller than a first threshold value;
if yes, determining that the current transaction is a small sample online transaction, and processing the current transaction as follows:
acquiring the accumulated transaction amount of the current transaction ending to the current moment in the current version period;
determining whether the accumulated transaction amount reaches an accumulated threshold;
if the accumulated transaction amount reaches an accumulated threshold value, counting the value of the monitoring index of the current transaction on the basis of the accumulated transaction amount;
and carrying out alarm processing according to the value of the monitoring index and the monitoring alarm threshold value.
In one embodiment of the present invention, the predetermined period of time comprises: for 1 minute.
In one embodiment of the present invention, the first threshold is determined in the following manner:
acquiring the transaction amount per minute of each transaction in the peak time period of the transaction amount in the previous day;
sorting the transactions according to the transaction amount per minute of each transaction in the peak time period of the transaction amount;
determining the transaction ranked at a predetermined order;
the transaction amount per minute of the transaction amount peak time period of the determined transactions is determined as a first threshold.
In one embodiment of the present invention, the predetermined number of bits includes:
the nth position from the last, where N is INT [ 20% × N ], and N is the total number of transactions. INT (x) denotes the rounding function, i.e. INT [ 20% × N ] denotes rounding the value of 20% × N.
In one embodiment of the present invention, the monitoring index includes:
system success rate, service success rate, average processing time, average response time.
In one embodiment of the present invention, the monitoring alarm threshold is determined in the following manner:
and acquiring the average value of the monitoring index of the current transaction in the previous version period of the current version period, and determining the average value as the monitoring alarm threshold of the monitoring index of the current transaction.
A second aspect of an embodiment of the present invention provides a system for monitoring an online transaction, the system comprising:
the judging module is used for judging whether the transaction amount of the current transaction in a preset time period is smaller than a first threshold value;
the determining module is used for determining that the current transaction is a small sample online transaction when the transaction amount of the current transaction in a preset time period is smaller than a first threshold value, and triggering the small sample online transaction processing module to process the current transaction;
the online transaction processing module for the small sample comprises:
the accumulated transaction amount obtaining unit is used for obtaining the accumulated transaction amount of the current transaction ending to the current moment in the current version period;
a judging unit configured to judge whether the accumulated transaction amount reaches an accumulated threshold value;
the monitoring index counting unit is used for counting the value of the monitoring index of the current transaction on the basis of the accumulated transaction amount when the accumulated transaction amount reaches an accumulated threshold value;
and the alarm processing unit is used for carrying out alarm processing according to the value of the monitoring index and the monitoring alarm threshold value.
In one embodiment of the present invention, the predetermined period of time comprises: for 1 minute.
In one embodiment of the present invention, the system further comprises: a first threshold determination module, the first threshold determination module comprising:
the transaction amount acquisition unit is used for acquiring the transaction amount per minute of each transaction in the peak time period of the respective transaction amount in the previous day;
the ordering unit is used for ordering the transactions according to the transaction amount per minute of each transaction in the peak time period of the transaction amount;
the transaction determining unit is used for determining the transactions ranked at a preset order;
and the threshold value determining unit is used for determining the transaction amount per minute of the transaction amount peak time period of the determined transaction as a first threshold value.
In one embodiment of the present invention, the predetermined number of bits includes:
the nth position from the last, where N is INT [ 20% × N ], N is the total number of transactions, and INT [ 20% × N ] represents a rounding to 20% × N.
In one embodiment of the present invention, the monitoring index includes:
system success rate, service success rate, average processing time, average response time.
In an embodiment of the present invention, the online transaction processing module for small samples further includes:
the monitoring alarm threshold value determining unit is used for determining the monitoring alarm threshold value by adopting the following modes:
and acquiring the average value of the monitoring index of the current transaction in the previous version period of the current version period, and determining the average value as the monitoring alarm threshold of the monitoring index of the current transaction.
A third aspect of an embodiment of the present invention provides a computer storage medium having stored thereon computer instructions executable by a processor to implement a method of monitoring an online transaction as described in any one of the above embodiments.
A fourth aspect of an embodiment of the present invention provides a computer apparatus, including:
a memory having a computer program stored thereon;
a processor for executing the computer program to implement the method for monitoring online transactions according to any one of the above embodiments.
Compared with the prior art, the method, the system and the related equipment for monitoring the online transaction provided by the embodiment of the invention have the following beneficial technical effects:
the invention judges whether the current transaction belongs to the small sample online transaction, and when the current transaction is the small sample online transaction, the current transaction is monitored as follows: and counting the value of the monitoring index when the accumulated transaction amount of the current transaction reaches an accumulated threshold value, and performing alarm processing according to the value of the monitoring index and the monitoring alarm threshold value. By the method, the online transaction of the small sample can be effectively monitored, and abnormal events can be found in time while ineffective alarms are reduced.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
FIG. 1 is a flow chart of a method for monitoring online transactions according to a first embodiment of the present invention;
FIG. 2 is a flowchart of a method for determining a first threshold according to a first embodiment of the present invention;
FIG. 3 is an exemplary method for monitoring online transactions according to a first embodiment of the present invention;
fig. 4 is a schematic block diagram of a system for monitoring online transactions according to a second embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings. It should be understood that the various embodiments described below are illustrative only and are not intended to limit the scope of the invention.
[ first embodiment ] to provide a toner
The present embodiment provides a method for monitoring an online transaction, as shown in fig. 1, the method includes:
s101: and judging whether the transaction amount of the current transaction in the current preset time period is smaller than a first threshold value.
S102: if yes, determining that the current transaction is a small sample online transaction, and processing S103-S106.
The current transaction is a real-time dynamic online transaction, which can be provided by a bank online transaction system for a bank counter, self-service equipment and various transaction channels. The transaction amount of the current transaction in the current predetermined time period can be acquired, whether the transaction amount of the current transaction in the current predetermined time period is smaller than a first threshold value or not is judged, and the current transaction is processed according to the judgment result. The predetermined time period may be set according to the requirement, for example, the predetermined time period may be set to one minute, so as to obtain the transaction amount of the current transaction in the current minute. And if the transaction amount of the current transaction in the current preset time period is greater than or equal to the first threshold value, judging that the current transaction is a large sample online transaction, and performing large sample monitoring alarm processing on the current transaction. The large sample monitoring alarm processing may adopt the existing monitoring alarm processing method, for example, the value of the evaluation index of the current transaction (large sample online transaction) in the current one minute is counted based on the transaction amount of the current transaction in the current one minute, and the alarm processing is performed on the current transaction according to the value of the evaluation index and the threshold value of the evaluation index. If the transaction amount of the current transaction in the current preset time period is smaller than the first threshold, the current transaction is judged to be a small sample online transaction, and the following S103-S106 can be adopted to carry out small sample monitoring alarm processing on the current transaction.
S103: acquiring the accumulated transaction amount of the current transaction ending to the current moment in the current version period;
the version period is a software version period of the online transaction system, which may be one week, two weeks, etc. The transaction processing in different version periods may change, and the embodiment acquires the accumulated transaction amount of the current transaction ending to the current time (i.e. from the starting time of the current version period to the current time) in the current version period, so that the transaction amount of the previous version period can be prevented from being accumulated to the current version period, and the monitoring accuracy is improved.
S104: determining whether the accumulated transaction amount reaches an accumulated threshold.
S105: and if the accumulated transaction amount reaches an accumulated threshold value, counting the value of the monitoring index of the current transaction on the basis of the accumulated transaction amount.
S106: and carrying out alarm processing according to the value of the monitoring index and the monitoring alarm threshold value.
If the process S104 determines that the accumulated transaction amount reaches the accumulated threshold, the process S106 may be followed by the process S101 to continuously determine whether the current transaction is a small sample online transaction, and then continuously process the current transaction according to the determination result. If the process S104 determines that the accumulated transaction amount does not reach the accumulation threshold, the flow may directly proceed to the process S101.
According to the embodiment, when the current transaction is judged to be the small sample online transaction, the accumulated transaction amount of the current transaction ending to the current moment in the current version period is obtained, the monitoring index value of the current transaction is counted when the accumulated transaction amount of the current transaction reaches the accumulated threshold value, whether alarm processing is carried out is judged according to the monitoring index value, and when the accumulated transaction amount of the current transaction does not reach the accumulated threshold value, counting judgment is not carried out, so that the problem of excessive invalid alarms caused by too small statistic amount can be solved, and meanwhile, abnormal events of the small sample online transaction can be found timely.
In the process S105, the monitoring index may be set as needed, for example, any one or more of the system success rate, the service success rate, the average processing time, and the average response time may be selected as the monitoring index. The monitoring alarm threshold corresponds to the monitoring index. For a selected monitoring index, its corresponding monitoring alarm threshold may be determined as follows: and obtaining the average value of the monitoring index of the current transaction in the previous version period of the current version period, and determining the average value as the monitoring alarm threshold value of the monitoring index of the current transaction. For example, if the current transaction is a, the monitoring index is X, the current version cycle is a second version cycle, and the previous version cycle is a first version cycle, an average value of the X index of the transaction a in the first version cycle may be obtained, the average value is used as a monitoring alarm threshold of the X index of the transaction a in the current version cycle, and X is any one or more of a system success rate, a service success rate, an average processing time, and an average response time. By the method, the alarm threshold can be dynamically determined and monitored, so that more accurate alarm processing can be performed on the current transaction.
The monitoring alarm threshold may also be determined in other manners, and the present invention is not limited thereto. For example, a static fixed threshold may also be determined as the monitoring alarm threshold.
The embodiment judges whether the current transaction is a small sample online transaction according to the first threshold value, and then monitors and alarms the current transaction according to the judgment result. Therefore, the first threshold has an important influence on judging whether the current transaction is a small sample online transaction, and further influences which monitoring alarm processing mode is adopted for the current transaction. The inventor of the present application finds in implementing the embodiment of the present invention that 80% of the small sample online transactions are concentrated in the last 20% of the transactions, and based on this finding, the first threshold of the embodiment can be determined by using the method shown in fig. 2:
s201: acquiring the transaction amount per minute of each transaction in the peak time period of the transaction amount in the previous day;
s202: sorting the transactions according to the transaction amount per minute of each transaction in the peak time period of the transaction amount;
s203: determining the transaction ranked at a predetermined number of bits, where the predetermined number of bits is the last-but-one bit, N is INT [ 20% × N ], N is the total number of transactions, and INT [ 20% × N ] indicates rounding 20% × N, which may be rounded up, rounded down, and the invention is not limited herein.
S204: the transaction amount per minute of the transaction amount peak time period of the determined transactions is determined as a first threshold.
It will be appreciated that the first threshold of this embodiment is used to compare the transaction amount of the current transaction in the current predetermined time period, and therefore, the time length of the first threshold and the time length of the predetermined time period should be the same. While the present embodiment uses the transaction amount per minute of the peak transaction amount time period in determining the first threshold, in other embodiments, the transaction amount per minute may be replaced by other time periods, such as every minute, every second, etc., as long as the time period is the same as the time period of the predetermined time period. The time length of the predetermined time period may be set according to the monitoring requirement, however, if the time length of the predetermined time period is too small, enough samples may not be obtained within the predetermined time period, so that it is impossible to determine whether the current transaction is a small sample transaction. If the length of the predetermined time period is too long, the transaction amount of the predetermined time period may not truly reflect the transaction amount at the current time, thereby causing misjudgment. For example, the length of the predetermined time period is set to 1 second, the transaction amount within 1 second may be very small, whether the current transaction is a small sample online transaction may not be determined according to the transaction amount of the current transaction in 1 second, the length of the predetermined time period is set to 30 minutes, the transaction amount of the current 30 minutes may not reflect the actual transaction amount of the current transaction at the current time, and whether the current transaction is a small sample transaction may be determined according to the transaction amount of the current transaction in 30 minutes, which may cause misjudgment. In order to improve the accuracy of the judgment, the predetermined period of time in the present embodiment is set to 1 minute, and the transaction amount per minute is adopted in determining the first threshold.
In the embodiment, the transaction amount per minute of the peak time period of the transaction of which the peak transaction amount is at the 20 th last percent of the transaction rank in the previous day is determined as the first threshold, and the confidence of the determination can be improved by using the first threshold determined by the method to determine whether the current transaction is a small sample transaction, so that a monitoring alarm method more suitable for the current transaction amount can be adopted for the current transaction, and the error report caused by the adoption of the monitoring alarm method not suitable for the current transaction amount of the current transaction is reduced. In addition, the first threshold is determined according to the transaction amount of the transaction amount peak time period of each transaction in the previous day, and the determined first threshold is a dynamic threshold which can be dynamically updated according to the peak transaction amount condition of each transaction, so that the real-time performance of the first threshold is further improved.
The present embodiment will be further described below by taking the monitoring of the current transaction a as an example. As shown in fig. 3, the monitoring process for the current transaction a is as follows:
s301: acquiring the transaction amount of the transaction A in the current one minute;
s302: judging whether the transaction amount is smaller than a first threshold value; if the transaction amount is smaller than the first threshold, determining that the transaction A is a small sample online transaction, and turning to processing S313; if the transaction amount is greater than or equal to the first threshold, it is determined that the transaction a is a large sample online transaction, and the process goes to S323.
Wherein the first threshold is the per minute transaction amount for the transaction amount peak time period for transactions ranked at the 20 th last% in the ranking of the per minute transaction amounts for the transaction amount peak time period for each transaction during the previous day. For example, there are 10 transactions during the previous day, and the transactions per minute for their respective peak time periods are: 100. 90, 80, 70, 60, 50, 40, 30, 20, 10, the first threshold is 20.
S313: acquiring the accumulated transaction amount of the transaction A ending to the current time in the current week; wherein, one week is a version period.
S314: judging whether the accumulated transaction amount is greater than or equal to an accumulated threshold value, if so, turning to S315; if not, go to S301;
s315: counting the system success rate of the transaction A based on the accumulated transaction amount;
s316: and judging whether the system success rate is less than a monitoring alarm threshold value of the system success rate of the transaction A. If the current time is less than the preset time, turning to S317 for warning; if not, the step goes to S301, and the transaction amount of the transaction A in the next minute is continuously acquired. Wherein, the monitoring alarm threshold value of the system success rate of the transaction A can be determined by the average value of the system success rate of the transaction A in the previous week.
S317: and (5) alarming. Various warning methods can be adopted, for example, sending an email or a short message to a maintenance operator, displaying warning information on a user interface, and the like, and the invention is not limited thereto.
S323: counting the system success rate of the transaction A based on the transaction amount (namely the transaction amount of the transaction A in the current minute);
s324: judging whether the success rate of the system is smaller than a set threshold value, if so, turning to S325 for warning; if not, the step goes to S301, and the transaction amount of the transaction A in the next minute is continuously acquired.
S325: and (5) alarming.
[ second embodiment ] to provide a medicine for treating diabetes
The present embodiment provides a system for monitoring online transactions. As shown in fig. 4, a system 10 for monitoring online transactions includes:
the judging module 11 is configured to judge whether a transaction amount of a current transaction in a predetermined time period is smaller than a first threshold;
the determining module 12 is configured to determine that the current transaction is a small sample online transaction when the transaction amount of the current transaction in a predetermined time period is smaller than a first threshold, and trigger the small sample online transaction processing module to process the current transaction;
the online transaction processing module 13 for small samples includes:
an accumulated transaction amount obtaining unit 131, configured to obtain an accumulated transaction amount of the current transaction ending to the current time within the current version period;
a judging unit 132 for judging whether the accumulated transaction amount reaches an accumulated threshold value;
a monitoring index counting unit 133, configured to count a value of a monitoring index of a current transaction based on the accumulated transaction amount when the accumulated transaction amount reaches an accumulated threshold;
and the alarm processing unit 134 is configured to perform alarm processing according to the value of the monitoring index and the monitoring alarm threshold.
Wherein the predetermined period of time comprises: for 1 minute.
Further, the system further comprises: a first threshold determination module 14, the first threshold determination module 14 comprising:
a transaction amount obtaining unit 141, configured to obtain transaction amounts per minute of each transaction in a respective transaction amount peak time period in a previous day;
the sorting unit 142 is used for sorting the transactions according to the transaction amount per minute of each transaction in the peak time period of the transaction amount;
a transaction determination unit 143 configured to determine a transaction ranked at a predetermined order;
a threshold determining unit 144, configured to determine the transaction amount per minute of the transaction amount peak time period of the determined transaction as the first threshold.
Wherein the predetermined number of bits comprises:
the nth position from the last, where N is INT [ 20% × N ], N is the total number of transactions, and INT [ 20% × N ] represents a rounding to 20% × N.
Wherein the monitoring index comprises:
system success rate, service success rate, average processing time, average response time.
Further, the online transaction processing module 13 for small samples further includes: a monitoring alarm threshold determination unit 135 for determining the monitoring alarm threshold in the following manner:
and acquiring the average value of the monitoring index of the current transaction in the previous version period of the current version period, and determining the average value as the monitoring alarm threshold of the monitoring index of the current transaction.
The working process and the processing of the system for monitoring the online transaction provided by the embodiment can refer to the corresponding processing process of the method for monitoring the online transaction in the foregoing embodiment, and are not described in detail here.
Although some embodiments have been described herein by way of example, various modifications may be made to these embodiments without departing from the spirit of the invention, and all such modifications are intended to be included within the scope of the invention as defined in the following claims. For example, in the embodiments of the present invention, functions of some of the modules may be combined or integrated to be implemented by one module, or functions of a certain module may be divided to be implemented by a plurality of modules.
Through the above description of the embodiments, those skilled in the art will clearly understand that the present invention can be implemented by combining software and a hardware platform. With this understanding in mind, all or part of the technical solutions of the present invention that contribute to the background can be embodied in the form of a software product, which can be stored in a storage medium, such as a ROM/RAM, a magnetic disk, an optical disk, etc., and includes instructions for causing a computer device (which can be a personal computer, a server, or a network device, etc.) to execute the methods according to the embodiments or some parts of the embodiments.
[ third embodiment ]
Embodiments of the present invention provide a computer storage medium, such as a hard disk, an optical disk, a flash memory, a floppy disk, a magnetic tape, etc., on which computer readable instructions are stored, the computer readable instructions being executable by a processor to implement the method or process for monitoring online transactions according to any of the above embodiments.
[ fourth embodiment ] A
An embodiment of the present invention provides a computer device, including:
a memory having a computer program stored thereon,
a processor which can execute the computer program to implement the method or process for monitoring online transactions according to any one of the above embodiments.
The terms and expressions used in the specification of the present invention are used as illustrations only, and are not intended to be limiting. It will be appreciated by those skilled in the art that changes could be made to the details of the above-described embodiments without departing from the underlying principles thereof. The scope of the invention is, therefore, indicated by the appended claims, in which all terms are to be understood in their broadest reasonable sense unless otherwise indicated.
Claims (14)
1. A method of monitoring an online transaction, the method comprising:
judging whether the transaction amount of the current transaction in the current preset time period is smaller than a first threshold value;
if yes, determining that the current transaction is a small sample online transaction, and processing the current transaction as follows:
acquiring the accumulated transaction amount of the current transaction ending to the current moment in the current version period;
determining whether the accumulated transaction amount reaches an accumulated threshold;
if the accumulated transaction amount reaches an accumulated threshold value, counting the value of the monitoring index of the current transaction on the basis of the accumulated transaction amount;
and carrying out alarm processing according to the value of the monitoring index and the monitoring alarm threshold value.
2. The method of claim 1, wherein the predetermined period of time comprises: for 1 minute.
3. The method of claim 2, wherein the first threshold is determined by:
acquiring the transaction amount per minute of each transaction in the peak time period of the transaction amount in the previous day;
sorting the transactions according to the transaction amount per minute of each transaction in the peak time period of the transaction amount;
determining the transaction ranked at a predetermined order;
the transaction amount per minute of the transaction amount peak time period of the determined transactions is determined as a first threshold.
4. The method of claim 3, wherein the predetermined number of bits comprises:
the nth position from the last, where N is INT [ 20% × N ], N is the total number of transactions, and INT [ 20% × N ] represents a rounding to 20% × N.
5. The method of any one of claims 1-4, wherein the monitoring an indicator comprises:
system success rate, service success rate, average processing time, average response time.
6. The method according to any of claims 1-4, characterized in that the monitoring alarm threshold is determined in the following way:
and obtaining the average value of the monitoring index of the current transaction in the previous version period of the current version period, and determining the average value as the monitoring alarm threshold value of the monitoring index of the current transaction.
7. A system for monitoring online transactions, the system comprising:
the judging module is used for judging whether the transaction amount of the current transaction in a preset time period is smaller than a first threshold value;
the determining module is used for determining that the current transaction is a small sample online transaction when the transaction amount of the current transaction in a preset time period is smaller than a first threshold value, and triggering the small sample online transaction processing module to process the current transaction;
the online transaction processing module for the small sample comprises:
the accumulated transaction amount obtaining unit is used for obtaining the accumulated transaction amount of the current transaction ending to the current moment in the current version period;
a judging unit configured to judge whether the accumulated transaction amount reaches an accumulated threshold value;
the monitoring index counting unit is used for counting the value of the monitoring index of the current transaction on the basis of the accumulated transaction amount when the accumulated transaction amount reaches an accumulated threshold value;
and the alarm processing unit is used for carrying out alarm processing according to the value of the monitoring index and the monitoring alarm threshold value.
8. The system of claim 7, wherein the predetermined period of time comprises: for 1 minute.
9. The system of claim 8, further comprising: a first threshold determination module, the first threshold determination module comprising:
the transaction amount acquisition unit is used for acquiring the transaction amount per minute of each transaction in the peak time period of the respective transaction amount in the previous day;
the ordering unit is used for ordering the transactions according to the transaction amount per minute of each transaction in the peak time period of the transaction amount;
the transaction determining unit is used for determining the transactions ranked at a preset order;
and the threshold value determining unit is used for determining the transaction amount per minute of the transaction amount peak time period of the determined transaction as a first threshold value.
10. The system of claim 9, wherein the predetermined number of bits comprises:
the nth position from the last, where N is INT [ 20% × N ], N is the total number of transactions, and INT [ 20% × N ] represents a rounding to 20% × N.
11. The system of any one of claims 7-10, wherein the monitoring metrics include:
system success rate, service success rate, average processing time, average response time.
12. The system according to any of claims 7-10, wherein the small sample online transaction processing module further comprises:
the monitoring alarm threshold value determining unit is used for determining the monitoring alarm threshold value by adopting the following modes:
and obtaining the average value of the monitoring index of the current transaction in the previous version period of the current version period, and determining the average value as the monitoring alarm threshold value of the monitoring index of the current transaction.
13. A computer storage medium having computer instructions stored thereon, the computer instructions being executable by a processor to perform the method of any one of claims 1 to 6.
14. A computer device, comprising:
a memory having a computer program stored thereon;
a processor for executing the computer program to implement the method of any one of claims 1 to 6.
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