CN105528280A - Method and system capable of determining log alarm grades according to relationship between system logs and health monitoring - Google Patents
Method and system capable of determining log alarm grades according to relationship between system logs and health monitoring Download PDFInfo
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- CN105528280A CN105528280A CN201510862026.1A CN201510862026A CN105528280A CN 105528280 A CN105528280 A CN 105528280A CN 201510862026 A CN201510862026 A CN 201510862026A CN 105528280 A CN105528280 A CN 105528280A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 29
- 238000000034 method Methods 0.000 title claims abstract description 18
- 238000004140 cleaning Methods 0.000 claims abstract description 10
- 238000012098 association analyses Methods 0.000 claims description 4
- 239000000284 extract Substances 0.000 claims description 3
- 238000013507 mapping Methods 0.000 claims description 3
- 230000013011 mating Effects 0.000 claims description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000008280 blood Substances 0.000 description 1
- 210000004369 blood Anatomy 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 239000006185 dispersion Substances 0.000 description 1
- 238000011835 investigation Methods 0.000 description 1
- 238000012423 maintenance Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- 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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- 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
- G06F11/321—Display for diagnostics, e.g. diagnostic result display, self-test user interface
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- 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
- G06F11/3452—Performance evaluation by statistical analysis
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- General Engineering & Computer Science (AREA)
- Quality & Reliability (AREA)
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Abstract
The present invention provides a method and system capable of determining log alarm grades according to relationship between system logs and health monitoring. The method comprises the steps that a log collecting engine collects history software system logs from application modules; a log cleaning engine cleans the collected history software system logs, filters invalid logs, arranges log format, and forms history log data; an alarm collecting engine collects history alarm data of the application modules from a health monitoring system; an associating engine analyzes the history log data and the history alarm data, forms a log alarm grade model, and trains the log alarm grade model; and an alarm grade matching engine determines alarm grade of a real-time log according to matching between the real-time log and the log alarm grade model.
Description
Technical field
The present invention relates to computing machine field of cloud computer technology, particularly, relate to a kind of method and system determining daily record alarm grade based on software systems daily record and health monitoring incidence relation.
Background technology
Along with distributed system becomes the main flow form of enterprise's application, its monitoring becomes the focus of enterprises pay attention.Existing monitor mode can show as: carry out health monitoring to the specific indexes of main frame and service thereof, monitor data is reported to supervisory system, produces warning information after analysis and informs client.
Along with enriching constantly of business demand, getting more and more to the requirement of monitoring, there is following defect in above-mentioned monitor mode:
1. the measurement period of alarm data is longer, the very first time cannot find system problem;
2. the daily record between each module of business and alarm management dispersion, lack association, increase the difficulty of positioning problems;
3. the order of severity degree of pair software systems daily record that operation maintenance personnel investigation problem is useful normally manually determines, does not produce with health monitoring system and contacts.
Therefore, how to utilize application service daily record to carry out Fast Discovery System doubtful problem and become the problem needing solution badly that cloud quality monitoring promotes.
Do not find explanation or the report of technology similar to the present invention at present, not yet collect similar data both at home and abroad yet.
Summary of the invention
For above shortcomings in prior art, the object of this invention is to provide a kind of method and system determining daily record alarm grade based on software systems daily record and health monitoring incidence relation, the method and system can produce daily record alarm Grade Model according to the association analysis of history log and health monitoring data, decide the alarm grade of real-time logs with this.
For achieving the above object, the present invention is achieved by the following technical solutions.
According to an aspect of the present invention, provide a kind of method that system journal and health monitoring relation determine daily record alarm grade, comprise the steps:
Step S1: log collection engine gathers the daily record of history software systems from each application module;
Step S2: daily record cleaning engine cleans the history software systems daily record collected in step S1, filters invalid daily record and arranges journal format, history of forming daily record data;
Step S3: alarm collection engine gathers the history alarm data of each application module from health monitoring system;
Step S4: the history log data that correlation engine provides according to step S2 and the history alarm data that step S3 provides are analyzed, and form daily record alarm Grade Model, and train daily record alarm Grade Model;
Step S5: alarm ratings match engine mates by real-time logs and daily record alarm Grade Model the alarm level determining this real-time logs.
Preferably, described step S4 comprises the steps:
Step S4.1: correlation engine extracts the log feature of different application module from feature database;
Step S4.2: the log information of different application module from history log data and history alarm extracting data log information and alarm data, is carried out association analysis by clustering algorithm according to the log feature of different application module by correlation engine together with the alarm data of different application module;
Step S4.3: correlation engine produces daily record alarm Grade Model.
Preferably, described log feature comprises following any one or appoints multinomial:
-daily record key word;
-log timestamp;
-daily record address;
Business module belonging to-daily record or submodule.
Preferably, described daily record alarm Grade Model comprises following any one or appoints multinomial information:
-daily record address;
-log content;
-daily record said module;
The mapping relations table of-alarm level.
According to another aspect of the present invention, provide the system that a kind of system journal and health monitoring relation determine daily record alarm grade, comprising:
-log collection engine, for gathering the daily record of history software systems from each application module;
-daily record cleaning engine, cleans for the history software systems daily record collected log collection engine, filters invalid daily record and arrange journal format, history of forming daily record data;
-alarm collection engine, for gathering the history alarm data of each application module from health monitoring system;
-correlation engine, the history alarm data that the history log data provided according to daily record cleaning engine and alarm collection engine provide are analyzed, and form daily record alarm Grade Model, and train daily record alarm Grade Model;
-alarm ratings match engine, for mating by real-time logs and daily record alarm Grade Model the alarm level determining this real-time logs.
Compared with prior art, the present invention has following beneficial effect:
The invention solves following technical matters:
1, software systems daily record is associated with system health state;
2, cross-system module relation analyzes daily record and alarm data;
3, associate situation according to legacy system daily record and system health state, automatically calculate daily record rank.
Present invention achieves following beneficial effect:
1, adopt the risk that historical data prognoses system is possible, achieve and give warning in advance, improve O&M efficiency;
2, realize the cross-system module relation analysis of daily record and warning information, improve forecasting reliability;
3, associated software system journal and warning information, makes full use of system data with existing resource.
Accompanying drawing explanation
By reading the detailed description done non-limiting example with reference to the following drawings, other features, objects and advantages of the present invention will become more obvious:
Fig. 1 is present system schematic diagram;
Fig. 2 is the inventive method process flow diagram.
Embodiment
Below embodiments of the invention are elaborated: the present embodiment is implemented under premised on technical solution of the present invention, give detailed embodiment and concrete operating process.It should be pointed out that to those skilled in the art, without departing from the inventive concept of the premise, can also make some distortion and improvement, these all belong to protection scope of the present invention.
Embodiment 1
Present embodiments provide a kind of method that system journal and health monitoring relation determine daily record alarm grade, comprise the steps:
Step S1: log collection engine gathers the daily record of history software systems from each application module;
Step S2: daily record cleaning engine cleans the history software systems daily record collected in step S1, filters invalid daily record and arranges journal format, history of forming daily record data;
Step S3: alarm collection engine gathers the history alarm data of each application module from health monitoring system;
Step S4: the history log data that correlation engine provides according to step S2 and the history alarm data that step S3 provides are analyzed, and form daily record alarm Grade Model, and train daily record alarm Grade Model;
Step S5: alarm ratings match engine mates by real-time logs and daily record alarm Grade Model the alarm level determining this real-time logs.
Further, described step S4 comprises the steps:
Step S4.1: correlation engine extracts the log feature of different application module from feature database;
Step S4.2: the log information of different application module from history log data and history alarm extracting data log information and alarm data, is carried out association analysis by clustering algorithm according to the log feature of different application module by correlation engine together with the alarm data of different application module;
Step S4.3: correlation engine produces daily record alarm Grade Model.
Further, described log feature comprises following any one or appoints multinomial:
-daily record key word;
-log timestamp;
-daily record address;
Business module belonging to-daily record or submodule.
Further, described daily record alarm Grade Model comprises following any one or appoints multinomial information:
-daily record address;
-log content;
-daily record said module;
The mapping relations table of-alarm level.
Embodiment 2
Present embodiments provide the system that a kind of system journal and health monitoring relation determine daily record alarm grade, this system can perform the method that system journal that embodiment 1 provides and health monitoring relation determine daily record alarm grade, comprising:
-log collection engine, for gathering the daily record of history software systems from each application module;
-daily record cleaning engine, cleans for the history software systems daily record collected log collection engine, filters invalid daily record and arrange journal format, history of forming daily record data;
-alarm collection engine, for gathering the history alarm data of each application module from health monitoring system;
-correlation engine, the history alarm data that the history log data provided according to daily record cleaning engine and alarm collection engine provide are analyzed, and form daily record alarm Grade Model, and train daily record alarm Grade Model;
-alarm ratings match engine, for mating by real-time logs and daily record alarm Grade Model the alarm level determining this real-time logs.
The method and system determining daily record alarm grade based on software systems daily record and health monitoring incidence relation that above-mentioned two embodiments provide, associate software systems daily record with system health state; Solve the related question that cross-system module relation analyzes daily record and alarm data; Associate situation according to legacy system daily record and system health state, automatically calculate daily record rank; Adopt the risk that historical data prognoses system is possible, achieve and give warning in advance, improve O&M efficiency; Realize the cross-system module relation analysis of daily record and warning information, improve forecasting reliability; Associated software system journal and warning information, make full use of system data with existing resource.
Above specific embodiments of the invention are described.It is to be appreciated that the present invention is not limited to above-mentioned particular implementation, those skilled in the art can make various distortion or amendment within the scope of the claims, and this does not affect flesh and blood of the present invention.
Claims (5)
1. system journal and health monitoring relation determine a method for daily record alarm grade, it is characterized in that, comprise the steps:
Step S1: log collection engine gathers the daily record of history software systems from each application module;
Step S2: daily record cleaning engine cleans the history software systems daily record collected in step S1, filters invalid daily record and arranges journal format, history of forming daily record data;
Step S3: alarm collection engine gathers the history alarm data of each application module from health monitoring system;
Step S4: the history log data that correlation engine provides according to step S2 and the history alarm data that step S3 provides are analyzed, and form daily record alarm Grade Model, and train daily record alarm Grade Model;
Step S5: alarm ratings match engine mates by real-time logs and daily record alarm Grade Model the alarm level determining this real-time logs.
2. system journal according to claim 1 and health monitoring relation determine the method for daily record alarm grade, it is characterized in that, described step S4 comprises the steps:
Step S4.1: correlation engine extracts the log feature of different application module from feature database;
Step S4.2: the log information of different application module from history log data and history alarm extracting data log information and alarm data, is carried out association analysis by clustering algorithm according to the log feature of different application module by correlation engine together with the alarm data of different application module;
Step S4.3: correlation engine produces daily record alarm Grade Model.
3. system journal according to claim 2 and health monitoring relation determine the method for daily record alarm grade, it is characterized in that, described log feature comprises following any one or appoints multinomial:
-daily record key word;
-log timestamp;
-daily record address;
Business module belonging to-daily record or submodule.
4. system journal according to claim 2 and health monitoring relation determine the method for daily record alarm grade, it is characterized in that, described daily record alarm Grade Model comprises following any one or appoints multinomial information:
-daily record address;
-log content;
-daily record said module;
The mapping relations table of-alarm level.
5. system journal and health monitoring relation determine a system for daily record alarm grade, it is characterized in that, comprising:
-log collection engine, for gathering the daily record of history software systems from each application module;
-daily record cleaning engine, cleans for the history software systems daily record collected log collection engine, filters invalid daily record and arrange journal format, history of forming daily record data;
-alarm collection engine, for gathering the history alarm data of each application module from health monitoring system;
-correlation engine, the history alarm data that the history log data provided according to daily record cleaning engine and alarm collection engine provide are analyzed, and form daily record alarm Grade Model, and train daily record alarm Grade Model;
-alarm ratings match engine, for mating by real-time logs and daily record alarm Grade Model the alarm level determining this real-time logs.
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| CN201510862026.1A CN105528280B (en) | 2015-11-30 | 2015-11-30 | System log and health monitoring relationship determine the method and system of log alarm grade |
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Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105955876A (en) * | 2016-05-13 | 2016-09-21 | 腾讯科技（深圳）有限公司 | Data monitoring processing method and apparatus |
| CN106201837A (en) * | 2016-07-19 | 2016-12-07 | 电信科学技术第五研究所 | A kind of daily record parsing method and system of integrated hardware platform |
| CN106951984A (en) * | 2017-02-28 | 2017-07-14 | 深圳市华傲数据技术有限公司 | A kind of dynamic analyzing and predicting method of system health degree and device |
| CN107678908A (en) * | 2017-06-23 | 2018-02-09 | 平安科技（深圳）有限公司 | Log recording method, device, computer equipment and storage medium |
| CN108205486A (en) * | 2017-12-26 | 2018-06-26 | 上海中畅数据技术有限公司 | A kind of intelligent distributed call chain tracking based on machine learning |
| CN108280021A (en) * | 2018-01-25 | 2018-07-13 | 郑州云海信息技术有限公司 | A kind of logging level analysis method based on machine learning |
| CN108418842A (en) * | 2018-05-31 | 2018-08-17 | 郑州信大天瑞信息技术有限公司 | A kind of intranet security log collection method and system |
| CN108897674A (en) * | 2018-07-12 | 2018-11-27 | 郑州云海信息技术有限公司 | A kind of log analysis method and device |
| CN110401567A (en) * | 2019-07-25 | 2019-11-01 | 中国工商银行股份有限公司 | The processing method of alarm data, calculates equipment, medium at device |
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| CN110933066A (en) * | 2019-11-26 | 2020-03-27 | 广州粤能信息技术有限公司 | Monitoring system and method for illegal access of network terminal to local area network |
| CN111338915A (en) * | 2020-05-15 | 2020-06-26 | 北京必示科技有限公司 | Dynamic alarm grading method and device, electronic equipment and storage medium |
| CN112636957A (en) * | 2020-12-11 | 2021-04-09 | 微医云(杭州)控股有限公司 | Early warning method and device based on log, server and storage medium |
| CN113485901A (en) * | 2021-07-06 | 2021-10-08 | 中国工商银行股份有限公司 | System evaluation method, device, equipment and medium based on log and index |
| CN116318969A (en) * | 2023-03-15 | 2023-06-23 | 中国华能集团有限公司北京招标分公司 | Multi-element equipment log access method |
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Cited By (25)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105955876A (en) * | 2016-05-13 | 2016-09-21 | 腾讯科技（深圳）有限公司 | Data monitoring processing method and apparatus |
| CN105955876B (en) * | 2016-05-13 | 2020-08-14 | 腾讯科技（深圳）有限公司 | Data monitoring processing method and device |
| CN106201837A (en) * | 2016-07-19 | 2016-12-07 | 电信科学技术第五研究所 | A kind of daily record parsing method and system of integrated hardware platform |
| CN106951984A (en) * | 2017-02-28 | 2017-07-14 | 深圳市华傲数据技术有限公司 | A kind of dynamic analyzing and predicting method of system health degree and device |
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| CN107678908B (en) * | 2017-06-23 | 2020-07-31 | 平安科技（深圳）有限公司 | Log recording method and device, computer equipment and storage medium |
| CN107678908A (en) * | 2017-06-23 | 2018-02-09 | 平安科技（深圳）有限公司 | Log recording method, device, computer equipment and storage medium |
| CN108205486A (en) * | 2017-12-26 | 2018-06-26 | 上海中畅数据技术有限公司 | A kind of intelligent distributed call chain tracking based on machine learning |
| CN108280021A (en) * | 2018-01-25 | 2018-07-13 | 郑州云海信息技术有限公司 | A kind of logging level analysis method based on machine learning |
| CN110399347B (en) * | 2018-04-23 | 2021-05-18 | 华为技术有限公司 | Alarm log compression method, device and system and storage medium |
| CN110399347A (en) * | 2018-04-23 | 2019-11-01 | 华为技术有限公司 | Alarm log compression method, apparatus and system, storage medium |
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| CN108418842A (en) * | 2018-05-31 | 2018-08-17 | 郑州信大天瑞信息技术有限公司 | A kind of intranet security log collection method and system |
| CN108897674A (en) * | 2018-07-12 | 2018-11-27 | 郑州云海信息技术有限公司 | A kind of log analysis method and device |
| CN110401567A (en) * | 2019-07-25 | 2019-11-01 | 中国工商银行股份有限公司 | The processing method of alarm data, calculates equipment, medium at device |
| CN110401567B (en) * | 2019-07-25 | 2022-04-26 | 中国工商银行股份有限公司 | Alarm data processing method and device, computing equipment and medium |
| CN110933066A (en) * | 2019-11-26 | 2020-03-27 | 广州粤能信息技术有限公司 | Monitoring system and method for illegal access of network terminal to local area network |
| CN111338915A (en) * | 2020-05-15 | 2020-06-26 | 北京必示科技有限公司 | Dynamic alarm grading method and device, electronic equipment and storage medium |
| CN111338915B (en) * | 2020-05-15 | 2020-09-01 | 北京必示科技有限公司 | Dynamic alarm grading method and device, electronic equipment and storage medium |
| CN112636957A (en) * | 2020-12-11 | 2021-04-09 | 微医云(杭州)控股有限公司 | Early warning method and device based on log, server and storage medium |
| CN112636957B (en) * | 2020-12-11 | 2023-02-21 | 微医云(杭州)控股有限公司 | Early warning method and device based on log, server and storage medium |
| CN113485901A (en) * | 2021-07-06 | 2021-10-08 | 中国工商银行股份有限公司 | System evaluation method, device, equipment and medium based on log and index |
| CN113485901B (en) * | 2021-07-06 | 2022-11-22 | 中国工商银行股份有限公司 | System evaluation method, device, equipment and medium based on log and index |
| CN116318969A (en) * | 2023-03-15 | 2023-06-23 | 中国华能集团有限公司北京招标分公司 | Multi-element equipment log access method |
| CN116318969B (en) * | 2023-03-15 | 2024-01-26 | 中国华能集团有限公司北京招标分公司 | Multi-element equipment log access method |
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| CN105528280B (en) | 2018-11-23 |
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