CN113778828A - Method and system for monitoring running states of multiple information systems in batch - Google Patents
Method and system for monitoring running states of multiple information systems in batch Download PDFInfo
- Publication number
- CN113778828A CN113778828A CN202111093104.8A CN202111093104A CN113778828A CN 113778828 A CN113778828 A CN 113778828A CN 202111093104 A CN202111093104 A CN 202111093104A CN 113778828 A CN113778828 A CN 113778828A
- Authority
- CN
- China
- Prior art keywords
- rate
- information system
- change value
- monitoring
- interface
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000012544 monitoring process Methods 0.000 title claims abstract description 78
- 238000000034 method Methods 0.000 title claims abstract description 31
- 230000008859 change Effects 0.000 claims abstract description 52
- 230000004044 response Effects 0.000 claims abstract description 29
- 230000004083 survival effect Effects 0.000 claims abstract description 23
- 238000011156 evaluation Methods 0.000 claims abstract description 16
- 230000000694 effects Effects 0.000 claims abstract description 11
- 238000012545 processing Methods 0.000 claims abstract description 11
- 230000006870 function Effects 0.000 claims description 21
- 230000008569 process Effects 0.000 claims description 9
- 238000004364 calculation method Methods 0.000 claims description 3
- 230000036541 health Effects 0.000 description 16
- 238000007689 inspection Methods 0.000 description 12
- 238000010586 diagram Methods 0.000 description 8
- 238000004590 computer program Methods 0.000 description 7
- 238000004458 analytical method Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000003086 colorant Substances 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000014509 gene expression Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 230000003442 weekly effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- 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
- G06F11/3466—Performance evaluation by tracing or monitoring
- G06F11/3476—Data logging
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3055—Monitoring arrangements for monitoring the status of the computing system or of the computing system component, e.g. monitoring if the computing system is on, off, available, not available
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3089—Monitoring arrangements determined by the means or processing involved in sensing the monitored data, e.g. interfaces, connectors, sensors, probes, agents
- G06F11/3093—Configuration details thereof, e.g. installation, enabling, spatial arrangement of the probes
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/32—Monitoring with visual or acoustical indication of the functioning of the machine
- G06F11/324—Display of status information
- G06F11/327—Alarm or error message display
Landscapes
- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- General Engineering & Computer Science (AREA)
- Quality & Reliability (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Computing Systems (AREA)
- Computer Hardware Design (AREA)
- Debugging And Monitoring (AREA)
Abstract
The invention provides a method and a system for monitoring running states of multiple information systems in batches, which are used for acquiring a data volume change value, an error reporting volume change value, an interface activity number change value, an active user number change value and average response time for processing query tasks of the information systems accessed in a monitoring time interval; calculating the data growth rate, error reporting rate, interface survival rate, active user rate and average response rate of the corresponding information system according to the change value; determining the running state of the corresponding information system by taking the data growth rate, the error reporting rate, the interface survival rate, the active user rate and the average response rate as state evaluation parameters, and early warning the information system corresponding to the running state which does not meet the set conditions; the invention can solve the bottleneck problem of multi-system monitoring information summarization, improve the monitoring efficiency of the information system and reduce the workload.
Description
Technical Field
The invention belongs to the technical field of system running state monitoring, and particularly relates to a batch monitoring method and system for running states of a multi-information system.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
With the continuous promotion of government affair information construction, a large number of information systems are built in a lot of enterprises and institutions, due to the difference of technology and design, part of the information systems are unstable in operation, and part of the information systems are not used for a long time and become zombie systems, so that the operation state of the information systems needs to be monitored.
According to the inventor, the monitoring of the running state of the information system mostly adopts a single monitoring plug-in unit deployment mode at present, a system monitoring program is deployed, and the running state of the system is monitored.
The other common method is manual inspection, and the mode has the advantages of high labor cost, strong dependence on personnel, low precision, low efficiency, multiple information systems, huge number of inspection personnel needing to be invested, limited personnel energy and difficulty in bearing high-strength inspection work.
The manual inspection has the following defects: the login account passwords of all information systems are different, manual filling is needed, and the operation workload is large; the key routing inspection functions of all information systems are different, and routing inspection personnel have higher difficulty in mastering key routing inspection points of a plurality of systems; the key routing inspection function response time of each information system is different, the response time of the complex query function is longer, and routing inspection efficiency is influenced; the manual processing of the summary analysis of the inspection results is complex and the efficiency is low.
Disclosure of Invention
The invention aims to solve the problems and provides a method and a system for monitoring the running states of multiple information systems in batches.
According to some embodiments, the invention adopts the following technical scheme:
a batch monitoring method for the running state of a multi-information system comprises the following steps:
acquiring a data volume change value, an error reporting volume change value, an interface activity number change value, an active user number change value and average response time for processing a query task of an information system accessed in a monitoring time interval;
calculating the data growth rate, error reporting rate, interface survival rate, active user rate and average response rate of the corresponding information system according to the change value;
and determining the running state of the corresponding information system by taking the data growth rate, the error reporting rate, the interface survival rate, the active user rate and the average response rate as state evaluation parameters, and early warning the information system corresponding to the running state which does not meet the set conditions.
As an alternative embodiment, the specific process of acquiring the data volume change value of the information system accessed in the monitoring time interval includes: and configuring a key data monitoring table of the information system, and calculating the increment of the key data table of the monitoring time interval as the data volume change value of the information system.
As an alternative embodiment, the specific process of acquiring the error reporting amount change value of the information system accessed in the monitoring time interval includes: and reading the running log of the information system, and determining the log error reporting quantity variable quantity in the monitoring time interval.
As an alternative embodiment, the specific process of acquiring the value of the change in the number of interface activities of the information system accessed in the monitoring time interval includes: and configuring an information system interface registration table, and determining the number of the interfaces which keep active in the monitoring time interval.
As an alternative embodiment, the data growth rate, the error reporting rate, the interface survival rate and the active user rate of the information system are respectively a data volume change value, an error reporting volume change value, an interface active number change value and an active user number change value of the information system divided by the length of the corresponding monitoring time interval.
As an alternative embodiment, when the data growth rate, the error reporting rate, the interface survival rate, the active user rate and the average response rate are used as the state evaluation parameters, the average value of the data growth rate, the error reporting rate, the interface survival rate and the active user rate in a plurality of monitoring time intervals is used as the evaluation parameter, or the data growth rate, the error reporting rate, the interface survival rate and the active user rate in one monitoring time interval are used as the evaluation parameter.
As an alternative embodiment, the operation state of the corresponding information system is determined as a product of a function sum and a ratio, the function sum is a state evaluation parameter function sum of each information system, and the ratio is a ratio of the importance degree parameter of the corresponding information system to the total number of each information system participating in monitoring.
As an alternative embodiment, the process of performing an early warning on the information system corresponding to the operating state that does not satisfy the set condition includes:
ranking the operating states calculated by the information systems, and regarding the ranked information systems as operating states not meeting requirements;
or setting an operation state threshold value, and regarding the information system with the calculated operation state exceeding the operation state threshold value as that the operation state is not in accordance with the requirement.
As an alternative embodiment, the monitoring time interval may be configurable.
In an alternative embodiment, the number of the monitoring time intervals is multiple, and the length of each monitoring time interval is the same or different, and the interval of each monitoring time interval is the same or different.
A multi-information system running state batch monitoring system comprises:
the parameter acquisition module is configured to acquire a data volume change value, an error reporting volume change value, an interface activity number change value, an active user number change value and average response time for processing a query task of an information system accessed in a monitoring time interval;
the parameter calculation module is configured to calculate the data growth rate, the error report rate, the interface survival rate, the active user rate and the average response rate of the corresponding information system according to the change value;
and the state evaluation module is configured to determine the operation state of the corresponding information system by taking the data growth rate, the error reporting rate, the interface survival rate, the active user rate and the average response rate as state evaluation parameters, and perform early warning on the information system corresponding to the operation state which does not meet the set conditions.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, through monitoring relevant indexes of each information system, positive and negative results are obtained according to the index types, the change trend of each index is analyzed in combination with historical records, and the trend and the ranking of the health condition of the system can be visually displayed in combination with the system importance after the change trend is synthesized.
The health state monitoring system disclosed by the invention is combined with various functions of the information system, the health state monitoring of the information system is automatically carried out, the inspection frequency can be customized, the daily health trend or the weekly and monthly health trends can be calculated according to the interval value corresponding to the inspection frequency, and the early warning is carried out when the health index is greatly changed, so that the manual intervention is guided.
The monitoring process of the invention has little influence on the system and reduces the pressure of the server. The method can conveniently monitor the health state of each information system in batches, greatly reduce labor cost and reduce workload.
In order to make the aforementioned and other objects, features and advantages of the present invention comprehensible, preferred embodiments accompanied with figures are described in detail below.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, are included to provide a further understanding of the invention, and are incorporated in and constitute a part of this specification, illustrate exemplary embodiments of the invention and together with the description serve to explain the invention and not to limit the invention.
FIG. 1 is a schematic flow chart of at least one embodiment of the present invention.
The specific implementation mode is as follows:
the invention is further described with reference to the following figures and examples.
It is to be understood that the following detailed description is exemplary and is intended to provide further explanation of the invention as claimed. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the invention. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, and it should be understood that when the terms "comprises" and/or "comprising" are used in this specification, they specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof, unless the context clearly indicates otherwise.
As shown in fig. 1, a method for batch monitoring of operating states of a multi-information system includes the following steps:
acquiring a data volume change value, an error reporting volume change value, an interface activity number change value and an active user number change value of an accessed information system in a monitoring time interval;
calculating the data growth rate, error reporting rate, interface survival rate and active user rate of the corresponding information system according to the change value;
calculating the average response time of each information system for processing the query task in the monitoring time interval;
and determining the running state of the corresponding information system by taking the data growth rate, the error reporting rate, the interface survival rate, the active user rate and the average response time as state evaluation parameters, and early warning the information system corresponding to the running state which does not meet the set conditions.
Before acquiring each variation value, the configuration of the information system is performed in advance. The configuration includes the following aspects:
data source configuration: and providing a data source configuration interface, configuring a database of the current application system, and performing online connection test.
And (3) monitoring table configuration: and configuring a key database table for monitoring data volume change.
And (3) system log configuration: and reading a system running log for monitoring the error report condition of the system.
And (3) system information configuration: and managing basic system information and filing each system.
System interface registry: registering interface information and monitoring the activity of the interface.
And (3) system response monitoring: and registering a complex query function of the system and monitoring the response time of the function.
Analyzing the health condition of the system: and displaying the accessed information system health indexes in a list, and displaying the system health state in different colors.
In fig. 1, the order of configuration is merely an example, and does not limit that the configuration steps must be performed in the order shown in the figure.
In other embodiments, the configurations may be performed sequentially in other orders, or out of order.
With the above configuration, the following parameters can be obtained:
number of access systems x: the system quantity of all the access monitoring platforms is used for ranking the health condition of the system;
system importance index a: and (5) performing grading according to the importance of the system, and assigning the importance of the system.
System data amount interval increment b: and monitoring the data increment of the key table in the time interval.
And (3) system log error reporting interval increment c: and monitoring the change value of the log error number in the time interval.
Survival rate of system interface interval d: the activity magnitude change value is maintained during the monitoring time interval.
Number e of active users in system section: and monitoring the change value of the number of the active users in the time interval.
System interval response rate average value f: the average response rate of the query function within the time interval is monitored.
Time start da 1: interval start time.
End of time da 2: the interval end time.
The following parameters were calculated separately or sequentially:
computing system data growth rate: α ═ (b2-b1)/(da2-da 1);
calculating the error reporting rate of the system: β ═ c2-c1)/(da2-da 1);
calculating the survival rate of the interface: γ ═ (d2-d1)/(da2-da 1);
calculating the active user rate: δ (e2-e1)/(da2-da 1);
calculating the response rate of the system: e ═ f2-f1)/(da2-da 1);
the parameter N1 is data of the section start time da1, the parameter N2 is data of the section start time da2, and N is b, c, d, e.
In other embodiments, only the value calculated for a single monitoring interval may be used as the index parameter.
In this embodiment, in order to ensure that the calculated rate value is more accurate, a plurality of monitoring intervals are selected, and of course, in this embodiment, the lengths of the monitoring intervals may be the same or different, and the intervals between the intervals may be the same or different. The previous monitoring interval is also referred to as a history interval. In this embodiment, the following parameters are continuously calculated:
calculating the average value of the data growth rates of the n historical intervals: Σ α ═ α 1+ α 2+ · · + α n)/n;
calculating the average value of error report rates of n historical interval systems: Σ β ═ β 1+ β 2+ · · + β n)/n;
calculating the average value of the survival rates of the interfaces of the n historical intervals: Σ γ ═ (γ 1+ γ 2+ · · + γ n)/n;
calculating the average value of the active user rates of n history intervals: Σ δ ═ δ 1+ δ 2+ · · + δ n)/n.
Calculating the average value of the system response rates of n historical intervals: Σ ∈ ═ n (ε 1+ ε 2+ · · + ε n)/n.
In this embodiment, the operating state health index is calculated:
η＝(f(α-Σα,0,α,0)+f(β-Σβ,0,0,β)+f(γ-Σγ,0,γ,0)+f(δ-Σδ,0,δ,0)+f(ε-Σε,0,ε,0))*(a/x)。
f is a function, f (x1, x2, x3, x4), x1 is a calculation, x2 is a scalar value, x3 is the result 1, x4 is the result 2, when x1 is greater than x2, the f function result is x3, when x1 is less than or equal to x2, the f function result is x 4.
Of course, in other embodiments, other operating state health function expressions may be constructed, as long as the above parameters are considered.
In this embodiment, the operating state health indexes calculated by the information systems may be ranked, and the ranked information systems are regarded as operating state ineligible.
Of course, in other embodiments, the threshold of the operating state health index may be set instead, and the information system in which the calculated operating state health index exceeds the operating state threshold is regarded as the operating state being unsatisfactory.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.
Claims (10)
1. A batch monitoring method for the running state of a multi-information system is characterized by comprising the following steps: the method comprises the following steps:
acquiring a data volume change value, an error reporting volume change value, an interface activity number change value, an active user number change value and average response time for processing a query task of an information system accessed in a monitoring time interval;
calculating the data growth rate, error reporting rate, interface survival rate, active user rate and average response rate of the corresponding information system according to the change value;
and determining the running state of the corresponding information system by taking the data growth rate, the error reporting rate, the interface survival rate, the active user rate and the average response rate as state evaluation parameters, and early warning the information system corresponding to the running state which does not meet the set conditions.
2. The batch monitoring method for the operating states of the multiple information systems as claimed in claim 1, wherein: the specific process of acquiring the data volume change value of the information system accessed in the monitoring time interval comprises the following steps: and configuring a key data monitoring table of the information system, and calculating the increment of the key data table of the monitoring time interval as the data volume change value of the information system.
3. The batch monitoring method for the operating states of the multiple information systems as claimed in claim 1, wherein: the specific process of acquiring the error reporting amount change value of the information system accessed in the monitoring time interval comprises the following steps: and reading the running log of the information system, and determining the log error reporting quantity variable quantity in the monitoring time interval.
4. The batch monitoring method for the operating states of the multiple information systems as claimed in claim 1, wherein: the specific process of acquiring the interface activity quantity change value of the information system accessed in the monitoring time interval comprises the following steps: and configuring an information system interface registration table, and determining the number of the interfaces which keep active in the monitoring time interval.
5. The batch monitoring method for the operating states of the multiple information systems as claimed in claim 1, wherein: the data growth rate, the error reporting rate, the interface survival rate and the active user rate of the information system are respectively the data volume change value, the error reporting volume change value, the interface activity number change value and the active user number change value of the information system divided by the length of the corresponding monitoring time interval.
6. The batch monitoring method for the operating states of the multiple information systems as claimed in claim 1, wherein: and when the data growth rate, the error reporting rate, the interface survival rate, the active user rate and the average response time are taken as state evaluation parameters, the average value of the data growth rate, the error reporting rate, the interface survival rate, the active user rate and the response rate in a plurality of monitoring time intervals is taken as the evaluation parameter, or the data growth rate, the error reporting rate, the interface survival rate, the active user rate and the response rate in one monitoring time interval are taken as the evaluation parameters.
7. The batch monitoring method for the operating states of the multiple information systems as claimed in claim 1, wherein: and determining the running state of the corresponding information system as the product of the function sum and the ratio, wherein the function sum is the state evaluation parameter function sum of each information system, and the ratio is the ratio of the importance degree parameter of the corresponding information system to the total number of each information system participating in monitoring.
8. The batch monitoring method for the operating states of the multiple information systems as claimed in claim 1, wherein: the process of early warning the information system corresponding to the running state which does not meet the set condition comprises the following steps:
ranking the operating states calculated by the information systems, and regarding the ranked information systems as operating states not meeting requirements;
or setting an operation state threshold value, and regarding the information system with the calculated operation state exceeding the operation state threshold value as that the operation state is not in accordance with the requirement.
9. The batch monitoring method for the operating states of the multiple information systems as claimed in claim 1, wherein: the monitoring time interval is configurable;
or, the number of the monitoring time intervals is multiple, the lengths of the monitoring time intervals are the same or different, and the intervals of the monitoring time intervals are the same or different.
10. The utility model provides a many information system running state is monitored control system in batches which characterized by: the method comprises the following steps:
the parameter acquisition module is configured to acquire a data volume change value, an error reporting volume change value, an interface activity number change value, an active user number change value and average response time for processing a query task of an information system accessed in a monitoring time interval;
the parameter calculation module is configured to calculate the data growth rate, the error report rate, the interface survival rate, the active user rate and the average response rate of the corresponding information system according to the change value;
and the state evaluation module is configured to determine the operation state of the corresponding information system by taking the data growth rate, the error reporting rate, the interface survival rate, the active user rate and the average response rate as state evaluation parameters, and perform early warning on the information system corresponding to the operation state which does not meet the set conditions.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111093104.8A CN113778828A (en) | 2021-09-17 | 2021-09-17 | Method and system for monitoring running states of multiple information systems in batch |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111093104.8A CN113778828A (en) | 2021-09-17 | 2021-09-17 | Method and system for monitoring running states of multiple information systems in batch |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113778828A true CN113778828A (en) | 2021-12-10 |
Family
ID=78852176
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111093104.8A Pending CN113778828A (en) | 2021-09-17 | 2021-09-17 | Method and system for monitoring running states of multiple information systems in batch |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113778828A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105933151A (en) * | 2016-04-20 | 2016-09-07 | 中国银行股份有限公司 | Method and system for monitoring bank service system |
| CN108268351A (en) * | 2016-12-30 | 2018-07-10 | 中国移动通信集团宁夏有限公司 | A kind of accurate monitoring method of running state of process and system |
| CN109934268A (en) * | 2019-02-20 | 2019-06-25 | 中国工商银行股份有限公司 | Abnormal transaction detection method and system |
| CN112422344A (en) * | 2020-11-18 | 2021-02-26 | 青岛海尔科技有限公司 | Log abnormity warning method and device, storage medium and electronic device |
| US20210092239A1 (en) * | 2019-09-20 | 2021-03-25 | Canon Kabushiki Kaisha | Network device, method for controlling network device, and recording medium |
| CN112817828A (en) * | 2021-01-29 | 2021-05-18 | 中国农业银行股份有限公司 | GTP monitoring method, device and equipment |
-
2021
- 2021-09-17 CN CN202111093104.8A patent/CN113778828A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105933151A (en) * | 2016-04-20 | 2016-09-07 | 中国银行股份有限公司 | Method and system for monitoring bank service system |
| CN108268351A (en) * | 2016-12-30 | 2018-07-10 | 中国移动通信集团宁夏有限公司 | A kind of accurate monitoring method of running state of process and system |
| CN109934268A (en) * | 2019-02-20 | 2019-06-25 | 中国工商银行股份有限公司 | Abnormal transaction detection method and system |
| US20210092239A1 (en) * | 2019-09-20 | 2021-03-25 | Canon Kabushiki Kaisha | Network device, method for controlling network device, and recording medium |
| CN112422344A (en) * | 2020-11-18 | 2021-02-26 | 青岛海尔科技有限公司 | Log abnormity warning method and device, storage medium and electronic device |
| CN112817828A (en) * | 2021-01-29 | 2021-05-18 | 中国农业银行股份有限公司 | GTP monitoring method, device and equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107908550B (en) | Software defect statistical processing method and device | |
| CN109637592B (en) | Calculation task management analysis system for molecular force field parameter generation and operation method thereof | |
| CN112365070B (en) | Power load prediction method, device, equipment and readable storage medium | |
| US20180107961A1 (en) | Task Support System and Task Support Method | |
| CN111339375A (en) | Universal big data model configuration and analysis method | |
| CN112130892A (en) | Product gray level release method, device, equipment and storage medium | |
| CN112559280A (en) | Data full link monitoring method based on data center station | |
| CN112598443A (en) | Online channel business data processing method and system based on deep learning | |
| CN103186713A (en) | Method and web application for OEE-analysis | |
| CN104573074A (en) | High-speed calculating and analyzing method based on hospital data | |
| CN105045220A (en) | Quality control method based on Z-score quality control chart for multiple variables | |
| CN110113229A (en) | A kind of block chain reference performance test macro and tool | |
| CN111447193B (en) | Method and device for anomaly detection of real-time data stream | |
| CN107544895A (en) | Hadoop big datas platform testing system and method | |
| CN113778828A (en) | Method and system for monitoring running states of multiple information systems in batch | |
| CN113793110A (en) | Industrial equipment data acquisition and analysis method based on cloud computing and cloud service platform | |
| Kropp et al. | An approach to data driven process discovery in the cost estimation process of a construction company | |
| CN108228462A (en) | A kind of parameter test method and device of OLTP systems | |
| CN111445132A (en) | Data processing method, data processing system and computer storage medium | |
| CN103345485B (en) | A kind of mainframe platform dynamic statement automatic generation method and system | |
| CN113452852B (en) | Method and device for regulating and controlling number of outbound calls of machine, electronic equipment and storage medium | |
| CN111930815A (en) | Method and system for constructing enterprise portrait based on industry attribute and business attribute | |
| CN113947463A (en) | Salary calculation system and method based on MES system | |
| CN113792421A (en) | TPM device management data processing system and method based on digital twin | |
| CN117271268B (en) | Cluster architecture performance evaluation method in digital computing platform |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| CB02 | Change of applicant information | ||
| CB02 | Change of applicant information |
Country or region after: China Address after: Floor 12, Building 3, Shuntai Plaza, No. 2000 Shunhua Road, High tech Industrial Development Zone, Jinan City, Shandong Province, 250101 Applicant after: SHANDONG ECLOUD INFORMATION TECHNOLOGY CO.,LTD. Address before: 250014 3rd floor, block B, Yinhe building, 2008 Xinluo street, high tech Zone, Jinan City, Shandong Province Applicant before: SHANDONG ECLOUD INFORMATION TECHNOLOGY CO.,LTD. Country or region before: China |