CN103136366A - Tracking and positioning method of abnormal business conditions - Google Patents
Tracking and positioning method of abnormal business conditions Download PDFInfo
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- CN103136366A CN103136366A CN2013100832094A CN201310083209A CN103136366A CN 103136366 A CN103136366 A CN 103136366A CN 2013100832094 A CN2013100832094 A CN 2013100832094A CN 201310083209 A CN201310083209 A CN 201310083209A CN 103136366 A CN103136366 A CN 103136366A
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- 230000002159 abnormal effect Effects 0.000 title claims abstract description 38
- 238000000034 method Methods 0.000 title claims abstract description 16
- 238000006467 substitution reaction Methods 0.000 claims description 3
- 238000004883 computer application Methods 0.000 abstract description 2
- 238000012544 monitoring process Methods 0.000 description 3
- 238000012098 association analyses Methods 0.000 description 1
- 230000007812 deficiency Effects 0.000 description 1
- 230000002452 interceptive effect Effects 0.000 description 1
- 230000004807 localization Effects 0.000 description 1
- 238000003786 synthesis reaction Methods 0.000 description 1
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- 238000012795 verification Methods 0.000 description 1
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Abstract
The invention discloses a tracking and positioning method of abnormal business conditions and belongs to the field of computer application. The abnormal business conditions are carried out a mathematical modeling, relations between different kinds of abnormal conditions and all data elements are built, and correlation relations of all data elements are built. Through an analysis over relations of a network structure, whether a certain business is abnormal or not is followed, an abnormal link and an abnormal type which are possibly appeared are followed and positioned when some certain data elements are abnormal. Compared with a prior art, the tracking and positioning method of the abnormal business conditions are capable of practically and effectively following the abnormal business conditions and timely and accurately positing the abnormal procedures. The popularization and application values are good.
Description
Technical field
The present invention relates to a kind of computer application field, specifically a kind of method for tracking and positioning of service exception situation.
Background technology
Existing supervision for abnormal conditions in business, that unilateral passing through supervised the unusual fluctuations of a certain data, what do not consider every kind of abnormal conditions is the interactive results of a plurality of factors, and also can't better locate which kind of factor is deciding factor.This just causes two problems, and the one, operating personnel are inconvenient directly follows the tracks of to check whether a certain service link exists abnormal conditions, is also unilateral to the understanding of service conditions; The 2nd, the unusual fluctuations of certain class data of the data plane that operating personnel can't be directly provide from system orient practical business that to be which link occurs abnormal.
Summary of the invention
Technical assignment of the present invention is for above-mentioned the deficiencies in the prior art, and a kind of method for tracking and positioning of service exception situation is provided.Utilize the method actually effectively to follow the tracks of the service exception situation, the abnormal link in location promptly and accurately ensures normal, the standardized operation of business.
Technical assignment of the present invention is realized in the following manner: the method for tracking and positioning of service exception situation; the service exception situation is carried out mathematical modeling; set up the relation between various abnormal conditions and each Data Elements; set up the correlative relationship of each data element; analyze by the relation to network structure; follow the tracks of some business and whether exist extremely, and when certain data element abnormal, review abnormal link, Exception Type that the location may occur.
Relation between data element is divided into relevant, inverse correlation, and sets related coefficient according to the power of relation; Each data element is set the correlation parameter model to the abnormal degree of impact of a certain class, and abnormal tracking and location are all by drawing actual numerical value substitution model equation.
Compared with prior art, the inventive method takes full advantage of the contact between all kinds of business datums, resolve impact and restricting relation between each Data Elements, the various abnormal conditions of track and localization that can be actual, effective, accurate, real-time, thereby guarantee the normal operation of operation system, the strict implement of business norms.
Description of drawings
Accompanying drawing 1 is to contact figure between service exception and Data Elements, Data Elements and Data Elements in the inventive method.
Embodiment
Be described in detail below with the method for tracking and positioning of specific embodiment to service exception situation of the present invention with reference to Figure of description.
Embodiment:
the method for tracking and positioning of service exception situation of the present invention takes full advantage of the contact between all kinds of business datums, resolve impact between each Data Elements and restricting relation (as shown in Figure 1, wherein just drawn the relation between abnormal conditions a and Data Elements, simply drawn the relation between Data Elements, the Data Elements Relations Among is divided into relevant, inverse correlation, also to make a concrete analysis of out related coefficient during modeling, the inverse correlation coefficient), by being followed the tracks of in the current operation process, the analysis-by-synthesis of each Data Elements situation has or not abnormal conditions, by extremely reviewing with association analysis of individual data key element located contingent service exception type, abnormal link.The tracking scheme of service exception situation is that the various abnormal conditions that possible occur of links in business are carried out modeling, find out each associated Data Elements, and set up the restricting relation that affects between each Data Elements, relation between data element, be divided into relevant, inverse correlation, and set related coefficient according to the power of relation; Each data element is also set the correlation parameter model to the abnormal degree of impact of a certain class, and abnormal tracking is all by actual numerical value substitution model equation is drawn with the location.By each abnormal conditions is sunk to data Layer, can by check the variation of analyzing associated each Data Elements self, in conjunction with the restricted influence situation of each Data Elements, extremely whether this class that total score is separated out this service link occur, and trend and the probability of the generation of energy predicted anomaly, thereby realize abnormal real-time follow-up monitoring.The targeting scheme of service exception situation is on the basis to business model, respectively the individual data key element is carried out the verification monitoring, by monitoring individual data key element abnormal upwards review, abnormal the reviewing of comprehensive a plurality of metadata, most possibly cause the abnormal service link of these Data Elements, service exception classification thereby release.
Claims (2)
1. the method for tracking and positioning of service exception situation; it is characterized in that: the service exception situation is carried out mathematical modeling; set up the relation between various abnormal conditions and each Data Elements; set up the correlative relationship of each data element; analyze by the relation to network structure; follow the tracks of some business and whether exist extremely, and when certain data element abnormal, review abnormal link, Exception Type that the location may occur.
2. method according to claim 1 is characterized in that:
Relation between data element is divided into relevant, inverse correlation, and sets related coefficient according to the power of relation;
Each data element is set the correlation parameter model to the abnormal degree of impact of a certain class, and abnormal tracking and location are all by drawing actual numerical value substitution model equation.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2013100832094A CN103136366A (en) | 2013-03-15 | 2013-03-15 | Tracking and positioning method of abnormal business conditions |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2013100832094A CN103136366A (en) | 2013-03-15 | 2013-03-15 | Tracking and positioning method of abnormal business conditions |
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| Publication Number | Publication Date |
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| CN103136366A true CN103136366A (en) | 2013-06-05 |
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| CN2013100832094A Pending CN103136366A (en) | 2013-03-15 | 2013-03-15 | Tracking and positioning method of abnormal business conditions |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106411579A (en) * | 2016-09-13 | 2017-02-15 | 深圳市金立通信设备有限公司 | Run-time error information processing method, terminal and system |
| CN109801093A (en) * | 2017-11-17 | 2019-05-24 | 百度在线网络技术（北京）有限公司 | The determination method, apparatus of publicity orders revenue decline reason, server, medium |
Citations (3)
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|---|---|---|---|---|
| US20060116922A1 (en) * | 2004-11-29 | 2006-06-01 | Microsoft Corporation | Efficient and flexible business modeling based upon structured business capabilities |
| CN101753382A (en) * | 2010-01-25 | 2010-06-23 | 浪潮通信信息系统有限公司 | Method for establishing adaptive network failure monitoring and positioning security model |
| CN104763293A (en) * | 2015-03-11 | 2015-07-08 | 重庆宝钢汽车钢材部件有限公司 | Safety door |
-
2013
- 2013-03-15 CN CN2013100832094A patent/CN103136366A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060116922A1 (en) * | 2004-11-29 | 2006-06-01 | Microsoft Corporation | Efficient and flexible business modeling based upon structured business capabilities |
| CN101753382A (en) * | 2010-01-25 | 2010-06-23 | 浪潮通信信息系统有限公司 | Method for establishing adaptive network failure monitoring and positioning security model |
| CN104763293A (en) * | 2015-03-11 | 2015-07-08 | 重庆宝钢汽车钢材部件有限公司 | Safety door |
Non-Patent Citations (2)
| Title |
|---|
| KANG MIKYUNG 等: "Design and development of a run-time monitor for multicore architectures in cloud computing", 《SENSORS》 * |
| 黎德生 等: "基于运行信息机制的OpenStack云平台容错改进方案", 《华中科技大学学报（自然科学版）》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106411579A (en) * | 2016-09-13 | 2017-02-15 | 深圳市金立通信设备有限公司 | Run-time error information processing method, terminal and system |
| CN109801093A (en) * | 2017-11-17 | 2019-05-24 | 百度在线网络技术（北京）有限公司 | The determination method, apparatus of publicity orders revenue decline reason, server, medium |
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Application publication date: 20130605 |
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