CN107769963A - A kind of content distributing network Fault Locating Method and device - Google Patents

A kind of content distributing network Fault Locating Method and device Download PDF

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Publication number
CN107769963A
CN107769963A CN201710905025.XA CN201710905025A CN107769963A CN 107769963 A CN107769963 A CN 107769963A CN 201710905025 A CN201710905025 A CN 201710905025A CN 107769963 A CN107769963 A CN 107769963A
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abnormal
result
cdn
detection
mark
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CN107769963B (en
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符立佳
苗辉
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Guizhou White Cloud Technology Co Ltd
Guizhou Baishancloud Technology Co Ltd
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Guizhou White Cloud Technology Co Ltd
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Priority to PCT/CN2018/107931 priority patent/WO2019062807A1/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/06Management of faults, events, alarms or notifications
    • H04L41/0677Localisation of faults

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Debugging And Monitoring (AREA)

Abstract

The invention discloses a kind of content distributing network CDN Fault Locating Methods, including:Obtain the data of bi-directional probing between source station and CDN caching servers;The data of the bi-directional probing are judged one by one according to default abnormality decision conditions, are that result of determination is marked per data;The data and result of determination of all bi-directional probings are analyzed and fault location.The present invention proposes the health degree evaluation mechanism of a kind of father's caching, source station bi-directional probing, can be with automatic fault location position when CDN father is cached to source station and obtains content failure.

Description

A kind of content distributing network Fault Locating Method and device
Technical field
The present invention relates to Internet technical field, more particularly to a kind of content distributing network (Content Delivery Network, abbreviation CDN) Fault Locating Method and device.
Background technology
With the development of internet, in order to lift service quality, CDN is widely used in the acceleration link of website.CDN's Core Feature is divided into two parts of intelligent scheduling and edge cache, and intelligent scheduling delays request guiding to the optimal edge of netizen Deposit node;The content of source station (web server of website) is grabbed local by edge cache, there is provided access to content.Wherein in order to Ensure edge cache server can efficiently, High Availabitity get content from source station, the method that can typically use multistage Hui Yuan, I.e. edge cache is cached from father and obtains content, father's caching obtains content from source station, and the node where father's caching server is generally The edge cache place all good node of meshed network to source station and to specified network area.
Under this framework, father's caching and source station are the content interface point of CDN service business and website client.Work as edge cache When obtaining content failure, the very first time judges it is that father caches the problem of failure or source station failure are one extremely important.It is existing Scheme is to monitor father's cache node 5xx conditional code.When finding that conditional code is uprushed, it is believed that it is abnormal to go back to source, and such method can be with Note abnormalities, but the link of failure can not be positioned in CDN ends or the source station of client.Website client is often because source Station failure is reported by mistake and father caches that failure is unresolved for a long time to cause service quality, availability to decline, and CDN service is proposed to complain And query, influence service experience.
The content of the invention
In order to solve the above-mentioned technical problem, the invention provides a kind of CDN Fault Locating Methods, including:
Obtain the data of bi-directional probing between source station and CDN caching servers;
The data of the bi-directional probing are judged one by one according to default abnormality decision conditions, are to be marked per data Result of determination;
The data and result of determination of all bi-directional probings are analyzed and fault location.
Further, the bi-directional probing includes:Detection and CDN caching of the source station to CDN caching servers direction Detection of the server to source station direction;Wherein, detection of the source station to CDN caching servers direction includes heartbeat detection;Institute Stating detection of the CDN caching servers to source station direction includes local Hui Yuan and proxy explorer.
Further, the data record of every bi-directional probing includes detection type, server identification, server place The mark and result of detection of node;Wherein:
Result of detection includes corresponding to heartbeat detection:Receive the reception number that the server of source station heartbeat message reports; Result of detection corresponding to local Hui Yuan includes:Of source 5xx conditional codes is returned in father's caching server access log middle finger fixed cycle Number;Result of detection includes corresponding to proxy explorer:Zhufu buffer probe proxy server in the cycle is specified to initiate unification to source station Backup father's buffer probe agency service in the 5xx conditional code numbers that URLs URL is received when accessing, and specified cycle The 5xx conditional code numbers that device initiates to receive when URL is accessed to source station.
Further, data of described pair of all bi-directional probing and result of determination is analyzed and fault location, including:
For a result of determination analysis below and positioning are carried out for abnormal data record:Search and the data record Other associated data records, it is abnormal all data note to search result of determination in all one group of associated data records Record, judge if unidirectional exception, then to mark failsafe link to judge if two-way exception, then to mark to there is an abnormal side Note failsafe link is CDN server unit exception;
The result that other are not analyzed and positioned carries out the analysis and positioning, Zhi Daosuo for abnormal data record It is that abnormal data record is analyzed and positioning finishes to have result of determination.
Further, it is described to judge if unidirectional exception, then to mark failsafe link to there is an abnormal side, including:
It is abnormal for result of determination if it is abnormal to judge that source station occurs to the result of detection in CDN caching servers direction All data record mark failsafe links are that source station heartbeat is abnormal, and will appear from the abnormal CDN caching servers mark of heartbeat Mark is known in fault type;
It is abnormal for result of determination if it is abnormal to judge that CDN caching servers occur to the result of detection in source station direction All data records mark failsafe link be CDN server unit exception, and will appear from the abnormal CDN caching servers Mark mark is in fault type.
Further, it is described to judge that it is CDN server unit exception then to mark failsafe link, bag if two-way exception Include:
If it is abnormal to judge that CDN caching servers occur to the result of detection in source station direction, and source station caches to the CDN Server side to result of detection also there is exception, then be that abnormal all data records mark the failsafe link to be for result of determination CDN server unit exception, and abnormal CDN caching servers mark mark is will appear from fault type, if phase It is CDN server unit exception that all data records of association, which mark failsafe link, then fault type is revised as into the CDN Node identification where caching server.
Further, methods described also includes:All data records that marked failsafe link and fault type are carried out Collect, correct failsafe link and/or fault type.
In order to solve the above-mentioned technical problem, present invention also offers a kind of CDN fault locators, it is characterised in that bag Data acquisition module, determination module and locating module are included, wherein:
The data acquisition module, for obtaining the data of bi-directional probing between source station and CDN caching servers;
The determination module, for being sentenced one by one to the data of the bi-directional probing according to default abnormality decision conditions It is fixed, it is that result of determination is marked per data;
The locating module, is analyzed and fault location for the data to all bi-directional probings and result of determination.
Further, the bi-directional probing includes:Detection and CDN caching of the source station to CDN caching servers direction Detection of the server to source station direction, wherein, detection of the source station to CDN caching servers direction includes heartbeat detection;Institute Stating detection of the CDN caching servers to source station direction includes local Hui Yuan and proxy explorer.
Further, the data record of every bi-directional probing includes detection type, server identification, server place The mark and result of detection of node;Wherein:
Result of detection includes corresponding to heartbeat detection:Receive the reception number that the server of source station heartbeat message reports; Result of detection corresponding to local Hui Yuan includes:Of source 5xx conditional codes is returned in father's caching server access log middle finger fixed cycle Number;Result of detection includes corresponding to proxy explorer:Zhufu buffer probe proxy server in the cycle is specified to initiate unification to source station Backup father's buffer probe agency service in the 5xx conditional code numbers that URLs URL is received when accessing, and specified cycle The 5xx conditional code numbers that device initiates to receive when URL is accessed to source station.
Further, the locating module is analyzed the data and result of determination of all bi-directional probings and failure is determined Position, including:
The locating module carries out analysis below and positioning for a result of determination for abnormal data record:Search with Other associated data records of the data record, it is abnormal to search result of determination in all one group of associated data records All data records, judge if unidirectional exception, then mark failsafe link to judge to there is an abnormal side if double To exception, then it is CDN server unit exception to mark failsafe link;
The result that the locating module is not analyzed and positioned to other carries out the analysis for abnormal data record And positioning, until all result of determination are that abnormal data record is analyzed and positioning finishes.
Further, the locating module is judged if unidirectional exception, then marks failsafe link to occur abnormal one Side, including:
It is abnormal that the locating module judges that if source station occurs to the result of detection in CDN caching servers direction, to sentence It is that abnormal all data record mark failsafe links are that source station heartbeat is abnormal to determine result, and will appear from the abnormal CDN of heartbeat Caching server mark mark is in fault type;
It is abnormal that the locating module judges that if CDN caching servers occur to the result of detection in source station direction, to sentence It is that abnormal all data records mark failsafe link is CDN server unit exception to determine result, and be will appear from abnormal described CDN caching servers mark mark is in fault type.
Further, the locating module judges that it is CDN server equipment then to mark failsafe link if two-way exception It is abnormal, including:
It is abnormal that the locating module judges that if CDN caching servers occur to the result of detection in source station direction, and source station Also there is exception to the result of detection in the CDN caching servers direction, be then abnormal all data records for result of determination Mark failsafe link is CDN server unit exception, and will appear from abnormal CDN caching servers mark mark in failure In type, if it is CDN server unit exception that associated all data records, which mark failsafe link, by fault type Node identification where being revised as the CDN caching servers.
Further, the locating module is additionally operable to enter all data records that marked failsafe link and fault type Row collects, and corrects failsafe link and/or fault type.
The present invention proposes the health degree evaluation mechanism of a kind of father's caching, source station bi-directional probing, is cached to source station in CDN father and obtains , can be with automatic fault location position when taking the content to fail.
In the embodiment of the present invention, agent result of detection is detected by active and standby father's caching server and identical network, and Source station heartbeat reception condition, assess and specify the service of network area to source station to use situation, grasp all active and standby father nodes in real time Return source availability, can automatically confirm that failsafe link still detects agent (generations at CDN ends or source station end during failure Reason) itself, the accuracy of fault location and the accuracy of warning information scope of release, while convenient automatic switchover can be strengthened.
Brief description of the drawings
The accompanying drawing for forming the part of the present invention is used for providing a further understanding of the present invention, schematic reality of the invention Apply example and its illustrate to be used to explain the present invention, do not form inappropriate limitation of the present invention.In the accompanying drawings:
Fig. 1 is the method flow diagram of the embodiment of the present invention 1;
Fig. 2 is the apparatus structure schematic diagram of the embodiment of the present invention 2.
Embodiment
To make the purpose, technical scheme and advantage of the embodiment of the present invention clearer, below in conjunction with the embodiment of the present invention In accompanying drawing, the technical scheme in the embodiment of the present invention is clearly and completely described, it is clear that described embodiment is Part of the embodiment of the present invention, rather than whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art The every other embodiment obtained under the premise of creative work is not made, belongs to the scope of protection of the invention.Need Illustrate, in the case where not conflicting, the feature in embodiment and embodiment in the application can be mutually combined.
Embodiment 1
The present embodiment provides a kind of CDN Fault Locating Methods, as shown in figure 1, comprising the following steps:
S1, obtain the data of bi-directional probing between source station and CDN caching servers;
The bi-directional probing includes:Detection of the source station to CDN caching servers direction and the CDN caching servers are to source Stand the detection in direction.Wherein:
Detection of the source station to CDN caching servers direction includes heartbeat detection;The CDN caching servers include: Zhufu caching server, backup father caching server, Zhufu buffer probe agency (agent) server, backup father's buffer probe Proxy server;
Detection of the CDN caching servers to source station direction includes local Hui Yuan and proxy explorer;Wherein local Hui Yuan Refer to Hui Yuan of father's caching server to source station, the proxy explorer includes backup father caching server, Zhufu buffer probe generation Manage the detection of server, backup father's buffer probe proxy server to source station.
The mark of node where the data record of every bi-directional probing includes detection type, server identification, the server Knowledge and result of detection;Wherein:
Result of detection includes corresponding to heartbeat detection:Receive source station heartbeat message server (including active and standby father caching Server and active and standby father's buffer probe proxy server) the reception number that reports;Result of detection corresponding to local Hui Yuan includes: The number of source 5xx conditional codes is returned in father's caching server access log middle finger fixed cycle;Result of detection bag corresponding to proxy explorer Include:Zhufu buffer probe proxy server in the cycle is specified to initiate URL (Uniform Resource to source station Locator, abbreviation URL) backup father buffer probe agency in the 5xx conditional code numbers that receive, and specified cycle when accessing The 5xx conditional code numbers that server initiates to receive when URL is accessed to source station.
S2, the data of the bi-directional probing are judged one by one according to default abnormality decision conditions, be per data Mark result of determination;
Specifically, the result of detection in the data record of every bi-directional probing is carried out according to default abnormality decision conditions Judge, result of determination corresponding to record.
Abnormality decision conditions are preset, such as can be:Preset value and unusual determination are set for every kind of data type Condition.Abnormality decision conditions can determine according to preset value, such as be set above the ratio of preset value or preset value, or be less than The ratio of preset value or preset value, can be empirically determined.
The data and result of determination of all bi-directional probings are analyzed and fault location by S3.
Specifically, analysis below and positioning are carried out for abnormal data record for a result of determination:Search with it is described Other associated data records of data record, it is the institute of exception to search result of determination in all one group of associated data records There is data record, wherein, associated all data records are one group of complete data record of bi-directional probing, that is, are included corresponding Both direction all detection datas;Judge if unidirectional exception, then to mark failsafe link to there is an abnormal side to sentence Break if two-way exception, then it is CDN server unit exception to mark failsafe link;The knot that other are not analyzed and positioned Fruit carries out the analysis and positioning for abnormal data record, analyzed for abnormal data record until all result of determination and Positioning finishes.Wherein:
● it is described to judge if unidirectional exception, then to mark failsafe link to there is an abnormal side, including:
It is abnormal for result of determination if it is abnormal to judge that source station occurs to the result of detection in CDN caching servers direction All data record mark failsafe links are that source station heartbeat is abnormal, and will appear from the abnormal CDN caching servers mark of heartbeat Mark is known in fault type;
It is abnormal for result of determination if it is abnormal to judge that CDN caching servers occur to the result of detection in source station direction All data records mark failsafe link be CDN server unit exception, and will appear from the abnormal CDN caching servers Mark mark is in fault type.
● it is described to judge that it is CDN server unit exception then to mark failsafe link if two-way exception, including:
If it is abnormal to judge that CDN caching servers occur to the result of detection in source station direction, and source station caches to the CDN Server side to result of detection also there is exception, then be that abnormal all data records mark the failsafe link to be for result of determination CDN server unit exception, and abnormal CDN caching servers mark mark is will appear from fault type, if phase It is CDN server unit exception that all data records of association, which mark failsafe link, then fault type is revised as into the CDN Node identification where caching server.
Alternatively, methods described also includes step S4:To all data records that marked failsafe link and fault type Collected, correct failsafe link and/or fault type.
Specifically include:
, will if judging to show that exception occurs in the result of detection for the bi-directional probing that all nodes are related in data record Failsafe link in the data record is modified to source station exception;
If judge to show that exception occurs in the Servers-all in all nodes in data record, and failsafe link is CDN server unit exception, then the fault type in those data records is modified to the whole network father node exception;
If judge to show that Servers-all heartbeat is abnormal in all nodes in data record, by the data record Fault type to be modified to the whole network source station heartbeat abnormal.
After fault location, for CDN server unit exception, failure and relevant information are reported into CDN webmasters;For source station It is abnormal, failure and related data record are reported into source station webmaster;It is abnormal for source station heartbeat, failure and related data are recorded same When report source station webmaster and CDN webmasters.
The present embodiment is visited using access log, self-built detection agent active probes source station, and source station active reporting heartbeat Two-way testing mechanism as CDN is surveyed, assesses and specifies the service of network area to source station to use situation, data are objective, comprehensive, side Method flexibility is strong, and can grasp time source availability of all active and standby father nodes in real time.Event can be automatically determined when breaking down Hinder link, strengthen the accuracy of fault location, reduce wrong report and fail to report, while the content of data record can help webmaster quick Solve failure, improve service quality.
Embodiment 2
The present embodiment provides a kind of CDN fault locators, and the present embodiment device is the corresponding intrument of above-described embodiment 1, real Associated description in example 1 is applied to be also suitable in the present embodiment.Described device can be a separate server in CDN, Huo Zheye CDN central servers can be located at.As shown in Fig. 2 including data acquisition module 21, determination module 22 and locating module 23, its In:
The data acquisition module 21, for obtaining the data of bi-directional probing between source station and CDN caching servers;
The determination module 22, for being carried out one by one to the data of the bi-directional probing according to default abnormality decision conditions Judge, be that result of determination is marked per data;
The locating module 23, is analyzed and fault location for the data to all bi-directional probings and result of determination.
The bi-directional probing includes:Detection of the source station to CDN caching servers direction and the CDN caching servers are to source Stand the detection in direction.Wherein, detection of the source station to CDN caching servers direction includes heartbeat detection;The CDN cachings clothes Detection of the business device to source station direction includes local Hui Yuan and proxy explorer.
The mark of node where the data record of every bi-directional probing includes detection type, server identification, the server Knowledge and result of detection;Wherein:Result of detection includes corresponding to heartbeat detection:The server for receiving source station heartbeat message reports Reception number;Result of detection corresponding to local Hui Yuan includes:Source 5xx is returned in father's caching server access log middle finger fixed cycle The number of conditional code;Result of detection includes corresponding to proxy explorer:Zhufu buffer probe proxy server is specified in the cycle to source Stand and initiate when uniform resource position mark URL accesses backup father in the 5xx conditional code numbers that receive, and specified cycle and cache to visit Survey the 5xx conditional code numbers that proxy server initiates to receive when URL is accessed to source station.
Alternatively, the determination module 22 data of the bi-directional probing are carried out according to default abnormality decision conditions by Bar judges, is that result of determination is marked per data, including:The determination module 22 is according to default abnormality decision conditions to every Result of detection in the data record of bi-directional probing judged, result of determination corresponding to record.
Alternatively, the locating module 23 is analyzed the data and result of determination of all bi-directional probings and failure is determined Position, including:
The locating module 23 carries out analysis below and positioning for a result of determination for abnormal data record:Search Other data records associated with the data record, it is different to search result of determination in all one group of associated data records Normal all data records, judge if unidirectional exception, then to mark failsafe link to there is an abnormal side, judge if Two-way exception, then it is CDN server unit exception to mark failsafe link;The locating module 23 is not analyzed and determined to other The result of position carries out the analysis and positioning for abnormal data record, until all result of determination are equal for abnormal data record Analysis and positioning finish.
Wherein, the locating module 23 judges if unidirectional exception, then to mark failsafe link to there is an abnormal side, Including:
If it is abnormal that the locating module 23 judges that source station occurs to the result of detection in CDN caching servers direction, for Result of determination is that abnormal all data record mark failsafe links are that source station heartbeat is abnormal, and will appear from the described of heartbeat exception CDN caching servers mark mark is in fault type;
If it is abnormal that the locating module 23 judges that CDN caching servers occur to the result of detection in source station direction, for Result of determination is that abnormal all data records mark failsafe link is CDN server unit exception, and will appear from abnormal institute CDN caching servers mark mark is stated in fault type.
Wherein, the locating module 23 judges that it is that CDN server equipment is different then to mark failsafe link if two-way exception Often, including:
The locating module 23 judges if CDN caching servers exception, and source occur to the result of detection in source station direction Also there is exception in the result of detection to the CDN caching servers direction of standing, then is abnormal all data note for result of determination Record mark failsafe link is CDN server unit exception, and will appear from abnormal CDN caching servers mark mark in event Hinder in type, if it is CDN server unit exception that associated all data records, which mark failsafe link, by failure classes Type is revised as node identification where the CDN caching servers.
Alternatively, the locating module 23 is additionally operable to enter all data records that marked failsafe link and fault type Row collects, and corrects failsafe link and/or fault type.Specifically include:
The locating module 23 is judged if showing the result of detection for the bi-directional probing that all nodes are related in data record There is exception, then the failsafe link in the data record is modified to source station exception;
The locating module 23 judged if showing that exception occurs in the Servers-all in all nodes in data record, And failsafe link is CDN server unit exception, then the fault type in those data records is modified into the whole network father node It is abnormal;
If the locating module 23 judges to show that Servers-all heartbeat is abnormal in all nodes in data record, will It is abnormal that fault type in the data record is modified to the heartbeat of the whole network source station.
The present embodiment is visited using access log, self-built detection agent active probes source station, and source station active reporting heartbeat Survey two-way testing mechanism as CDN, the data of acquisition are more objective, comprehensively and flexibility is strong, reduce appearance and report by mistake and leak The possibility of report, fault verification are more reliable.
Using example 1
In this example, obtain father cache node detection source station, source station reports the data of heartbeat, by the collecting of data, Computing finally judges the health degree (i.e. whether abnormal) and failsafe link and type of CDN source station, improves the unusual determination degree of accuracy And fault location efficiency.
Step 1, father's caching, source station bi-directional probing data are periodically obtained, and are saved in local;Including:
Step 1a, filter analysis father's caching server access log, obtain and specify father's caching server in the cycle to return source 5xx The number of conditional code, and be recorded in bi-directional probing data file, such as shown in table 1;
Table 1
Type Server apparatus Node where equipment Source station IP Result of detection
Father caches dev1 node1 IP1 100
Standby father caches dev2 node2 IP1 0
Step 1b, cache and back up father's cache node in father and choose N platforms detection agent, and configure detection url, Mei Geyi The individual time cycle, carry out url to source station and access simultaneously record access conditional code, count 5xx conditional code numbers, and be recorded in two-way spy Survey in data file, such as shown in table 2;
Table 2
Type Server apparatus Node where equipment Source station IP Result of detection
Father caches agent dev11 node1 IP1 100
Standby father caches agent dev21 node2 IP1 0
Step 1c, source station heartbeat message transmission program obtain the target device IP of heartbeat transmission, mesh from CDN central servers Marking device for example caches agent servers including active and standby father's caching server, active and standby father;Set every a time cycle to target Standby IP sends heartbeat message;Heartbeat on target device receives program and receives heartbeat message, and heartbeat message is received into time number scale Record in bi-directional probing data file, such as shown in table 3;
Table 3
Type Server apparatus Node where equipment Source station IP Result of detection
Heartbeat dev1 node1 IP1 0
Heartbeat dev11 node1 IP1 3
Heartbeat dev2 node2 IP1 3
Heartbeat dev21 node2 IP1 3
Above step 1a, 1b and 1c are without fixed priority execution sequence.
Step 2, by being contrasted to bi-directional probing data and preset value, judge source station health degree result, form health degree and sentence Determine file;Including:
Step 2a, bi-directional probing data file, comparative analysis bi-directional probing data file and health degree decision condition are received, Judge whether every detection data is normal;Health degree decision condition is for example shown in table 4;
Table 4
Type Preset value Abnormality decision conditions
Father caches 500 Beyond preset value 10%
Heartbeat 3 Less than preset value
Father caches agent 10 Beyond preset value 10%
A bi-directional probing data are often read, first confirm data type, then confirm corresponding abnormality decision conditions, contrast is pre- If value and decision condition, if meeting abnormality decision conditions, assert that health degree is abnormal, health degree result of determination can be set to 0, such as Fruit normally can then be designated as 1.It is analyzed and judges one by one, result recorded into health degree judges file.Set if specified It is standby not collect data, then data time-out can be regarded as, health degree is judged to be set to -1.Health degree is 0 or represented for -1 It is abnormal.
So that type is heartbeat as an example, judge to be less than 3 to be abnormal, health degree judges file for example shown in table 5.
Table 5
Type Server apparatus Node where equipment Source station IP Result of detection Health degree judges
Heartbeat dev1 node1 IP1 0 0
Heartbeat dev11 node1 IP1 3 1
Heartbeat dev2 node2 IP1 3 1
Heartbeat dev21 node2 IP1 3 1
Step 2b, if judging that health degree judges that file has health degree result of determination as 0, assert health degree Problem be present, continue the analysis of failsafe link and fault type, perform next step;If all 1, would assert health degree Normally, judgement is exited;
Step 3, from health degree judge file in find out a health degree be determined as 0 data record carry out analysis below and Positioning:First search be determined as with health degree 0 associated other data records of data record, all associated one groups of lookup Result of determination is that exception is all data records that health degree is determined as 0 in data record, judges if unidirectional exception, then to mark Failsafe link is remembered to there is an abnormal side, for example, if there is source station heartbeat exception or time-out, but father's caching detects to source station Normal unidirectional abnormal conditions, then the problem of being determined as source station heartbeat detection link itself, abnormal information is inserted into failsafe link Information table;It is normal if there is heartbeat detection, but the abnormal or overtime unidirectional abnormal conditions of 5xx be present in father's buffer probe source station, Then it is determined as CDN server unit exception, abnormal information is inserted into failsafe link information table;Judge if two-way exception, then Mark failsafe link is CDN server unit exception;The health degree that other are not analyzed and positioned is determined as 0 data note Record carries out above-mentioned analysis and positioning, until all data records are analyzed and positioning finishes;Failsafe link is marked to failure ring Save in information table or health degree warning information table;
In this example, in all bi-directional probing data collected in step 1, there are two result of detection abnormal datas --- table 2 records 1 and the record of table 31, are analyzed one by one, and analysis below order does not limit.
First the record of table 21 is analyzed:The data associated with the record of table 21 are found out, because the record of table 21 is CDN sides Detections of the dev11 to source station direction, then need to find out the source station of association and remember to CDN side directions dev11 detection data, i.e. table 3 Record 2, after collecting as shown in table 6.
Table 6
Type Server apparatus Node where equipment Source station IP Result of detection Health degree judges
Father caches agent dev11 node1 IP1 100 0
Heartbeat dev11 node1 IP1 3 1
From table 6, heartbeat is normal but father caches agent detection exceptions, and to be unidirectional abnormal, then failsafe link should be appearance An abnormal side, i.e. CDN sides are abnormal, shown in result of determination such as table 7 (failsafe link information table).
Table 7
Type Server apparatus Place node Source station IP Failsafe link
Father caches agent dev11 node1 IP1 CDN server unit exception
The record of table 31 is analyzed again:Find out with the data that associates of the record of table 31, because the record of table 31 is source station to CDN Side dev1 detection, then need to find out the CDN side directions dev1 of association to the detection data in source station direction, the i.e. record of table 11, converge The General Logistics Department is as shown in table 8.
Table 8
From table 8, it is normal that heartbeat exception but father cache local source of going back to, and is also unidirectional abnormal, then failsafe link should be out A now abnormal side, i.e. source station heartbeat are abnormal, shown in result of determination such as table 9 (failsafe link information table).
Table 9
Type Server apparatus Place node Source station IP Failsafe link
Heartbeat dev1 node1 IP1 Source station heartbeat mechanism is abnormal
Alternatively, health degree warning information table can also be collected and be corrected.It can be examined when there is situations below Worry is modified, and message in failsafe link information table is merged:Exist with all same type equipment in node with link event Barrier;, same link failure be present in all same type equipment in the whole network.In addition, if whole two-way exceptions of node, then assert failure ring Save as " source station failure ".
Step 4, health degree warning information table is analyzed, confirms warning information range of transmission, sends health degree warning information;
If server apparatus is abnormal, then it is CDN operation personnel to match warning information range of transmission, is sent to machine announcement Alert information;
If caching agent detections mechanism is abnormal, then it is CDN operation personnel to match warning information range of transmission, Xiang Qi Transmitter warning information;
If source station failure, then it is client web site operation personnel to match warning information range of transmission, is sent to alert Information;
If source station heartbeat mechanism is abnormal, then it is CDN and website operation personnel to match warning information range of transmission, Xiang Qi Send a warning message.
Using example 2
The difference of this example and example 1 includes two father's caching server A in the CDN caching servers in this example And B, the step 1 and step 2 in example 1 are performed, health degree as shown in table 10 is obtained and judges that file (eliminates detection in table 10 As a result).
Table 10
Step 3 is performed, the record that above-mentioned health degree is 0 analyze and position one by one.In this example, source station heartbeat Detection and detection of father's caching server to source station have exception, then following principle can be used to carry out failsafe link and fault type Judgement:
If all caching server unit exceptions in node, agent equipment is normal in whole or in part, then regards as " CDN server unit exception ";If all agent unit exceptions in node, caching server equipment is all or part of just Often, then regard as " CDN server unit exception ";If all devices are abnormal in node, other node devices are normal, then assert For " CDN server unit exception ";Other situations in addition to situation listed above, regard as that " CDN server equipment is different Often ".
Referred to when specifically judging performed below:
If the 1, single server equipment has failure, and failsafe link is " CDN server unit exception ", then judges event It is " xx server apparatus failure " (xx is implementor name) to hinder type;
The 2nd, if all father's cachings, father cache agent or cache agent all events for father's caching, standby father in single node Barrier, and failsafe link is " CDN server unit exception ", then it is that " xx father nodes failure " (xx is node to judge fault type Name);
If the 4, single server is present " source station heartbeat mechanism is abnormal ", judgement fault type is " xx server apparatus source Heartbeat mechanism of standing is abnormal ";
If the 5, all devices have " source station heartbeat mechanism is abnormal " in single node, judge fault type for " xx is saved Point source station heartbeat mechanism is abnormal " (xx is node name);
In this example, the data that all data records can be divided into 4 groups, every group in above-mentioned table 10 are associated, for Every group carries out fault location respectively, referring to table 11- tables 14, the corresponding one group of bi-directional probing data of each table.
Table 11
Table 12
Table 13
Table 14
Other in this example perform step with example 1, and here is omitted.
Descriptions above can combine implementation individually or in a variety of ways, and these variants all exist Within protection scope of the present invention.
One of ordinary skill in the art will appreciate that all or part of step in the above method can be instructed by program Related hardware is completed, and described program can be stored in computer-readable recording medium, such as read-only storage, disk or CD Deng.Alternatively, all or part of step of above-described embodiment can also be realized using one or more integrated circuits, accordingly Ground, each module/unit in above-described embodiment can be realized in the form of hardware, can also use the shape of software function module Formula is realized.The present invention is not restricted to the combination of the hardware and software of any particular form.
It should be noted that herein, term " comprising ", "comprising" or its any other variant are intended to non-row His property includes, so that article or equipment including a series of elements not only include those key elements, but also including not There is an other element being expressly recited, or also include for this article or the intrinsic key element of equipment.Do not limiting more In the case of system, the key element that is limited by sentence " including ... ", it is not excluded that in the article including the key element or equipment Other identical element also be present.
The above embodiments are merely illustrative of the technical solutions of the present invention and it is unrestricted, reference only to preferred embodiment to this hair It is bright to be described in detail.It will be understood by those within the art that technical scheme can be modified Or equivalent substitution, without departing from the spirit and scope of technical solution of the present invention, the claim model in the present invention all should be covered Among enclosing.

Claims (14)

1. a kind of content distributing network CDN Fault Locating Methods, it is characterised in that methods described includes:
Obtain the data of bi-directional probing between source station and CDN caching servers;
The data of the bi-directional probing are judged one by one according to default abnormality decision conditions, are that mark judges per data As a result;
The data and result of determination of all bi-directional probings are analyzed and fault location.
2. according to the method for claim 1, it is characterised in that
The bi-directional probing includes:Detection of the source station to CDN caching servers direction and the CDN caching servers are to source station side To detection;Wherein, detection of the source station to CDN caching servers direction includes heartbeat detection;The CDN caching servers Detection to source station direction includes local Hui Yuan and proxy explorer.
3. according to the method for claim 2, it is characterised in that
The data record of every bi-directional probing include detection type, server identification, node where the server mark with And result of detection;Wherein:
Result of detection includes corresponding to heartbeat detection:Receive the reception number that the server of source station heartbeat message reports;It is local Result of detection includes corresponding to Hui Yuan:The number of source 5xx conditional codes is returned in father's caching server access log middle finger fixed cycle;Generation Result of detection corresponding to reason detection includes:Zhufu buffer probe proxy server in the cycle is specified to determine to source station initiation unified resource The 5xx conditional code numbers that position symbol URL is received when accessing, and father's buffer probe proxy server is backed up in the specified cycle to source Stand and initiate the 5xx conditional code numbers that receive when URL is accessed.
4. according to the method described in any claim in claim 1-3, it is characterised in that
Data of described pair of all bi-directional probing and result of determination is analyzed and fault location, including:
For a result of determination analysis below and positioning are carried out for abnormal data record:Search related to the data record Other data records of connection, it is abnormal all data records to search result of determination in all one group of associated data records, Judge that then mark failsafe link is the abnormal side of appearance if unidirectional exception, judge if two-way exception, then mark event Barrier link is CDN server unit exception;
The result that other are not analyzed and positioned carries out the analysis and positioning for abnormal data record, sentences until all It is that abnormal data record is analyzed and positioning finishes to determine result.
5. according to the method for claim 4, it is characterised in that
It is described to judge if unidirectional exception, then to mark failsafe link to there is an abnormal side, including:
It is abnormal all for result of determination if it is abnormal to judge that source station occurs to the result of detection in CDN caching servers direction Data record mark failsafe link is that source station heartbeat is abnormal, and will appear from the abnormal CDN caching servers mark mark of heartbeat Note is in fault type;
It is abnormal institute for result of determination if it is abnormal to judge that CDN caching servers occur to the result of detection in source station direction It is CDN server unit exception to have data record mark failsafe link, and will appear from abnormal CDN caching servers mark Mark is in fault type.
6. according to the method for claim 4, it is characterised in that
It is described to judge that it is CDN server unit exception then to mark failsafe link if two-way exception, including:
If it is abnormal to judge that CDN caching servers occur to the result of detection in source station direction, and source station is to the CDN buffer services Also there is exception in the result of detection in device direction, then is that abnormal all data records mark failsafe link is CDN for result of determination Server apparatus is abnormal, and will appear from abnormal CDN caching servers mark mark in fault type, if associated All data records to mark failsafe link be CDN server unit exception, then fault type is revised as into the CDN caches Node identification where server.
7. the method according to claim 5 or 6, it is characterised in that
Methods described also includes:All data records that marked failsafe link and fault type are collected, correct failure Link and/or fault type.
A kind of 8. content distributing network CDN fault locators, it is characterised in that including data acquisition module, determination module and Locating module, wherein:
The data acquisition module, for obtaining the data of bi-directional probing between source station and CDN caching servers;
The determination module, for being judged one by one the data of the bi-directional probing according to default abnormality decision conditions, Result of determination is marked for every data;
The locating module, is analyzed and fault location for the data to all bi-directional probings and result of determination.
9. device according to claim 8, it is characterised in that
The bi-directional probing includes:Detection of the source station to CDN caching servers direction and the CDN caching servers are to source station side To detection, wherein, detection of the source station to CDN caching servers direction includes heartbeat detection;The CDN caching servers Detection to source station direction includes local Hui Yuan and proxy explorer.
10. device according to claim 9, it is characterised in that
The data record of every bi-directional probing include detection type, server identification, node where the server mark with And result of detection;Wherein:
Result of detection includes corresponding to heartbeat detection:Receive the reception number that the server of source station heartbeat message reports;It is local Result of detection includes corresponding to Hui Yuan:The number of source 5xx conditional codes is returned in father's caching server access log middle finger fixed cycle;Generation Result of detection corresponding to reason detection includes:Zhufu buffer probe proxy server in the cycle is specified to determine to source station initiation unified resource The 5xx conditional code numbers that position symbol URL is received when accessing, and father's buffer probe proxy server is backed up in the specified cycle to source Stand and initiate the 5xx conditional code numbers that receive when URL is accessed.
11. according to the device described in any claim in claim 8-10, it is characterised in that
The locating module is analyzed by the data and result of determination of all bi-directional probings and fault location, including:
The locating module carries out analysis below and positioning for a result of determination for abnormal data record:Search with it is described Other associated data records of data record, it is the institute of exception to search result of determination in all one group of associated data records There is data record, judge if unidirectional exception, then to mark failsafe link to there is an abnormal side to judge if two-way different Often, then it is CDN server unit exception to mark failsafe link;
The result that the locating module is not analyzed and positioned to other carries out the analysis for abnormal data record and determined Position, until all result of determination are that abnormal data record is analyzed and positioning finishes.
12. device according to claim 11, it is characterised in that
The locating module is judged if unidirectional exception, then marks failsafe link as the abnormal side of appearance, including:
It is abnormal that the locating module judges that if source station occurs to the result of detection in CDN caching servers direction, to judge to tie Fruit is that abnormal all data record mark failsafe links are that source station heartbeat is abnormal, and will appear from the abnormal CDN cachings of heartbeat Server identification is marked in fault type;
It is abnormal that the locating module judges that if CDN caching servers occur to the result of detection in source station direction, to judge to tie Fruit is that abnormal all data records mark failsafe link is CDN server unit exception, and will appear from the abnormal CDN and delay Server identification mark is deposited in fault type.
13. device according to claim 11, it is characterised in that
The locating module judges that it is CDN server unit exception then to mark failsafe link if two-way exception, including:
If it is abnormal that the locating module judges that CDN caching servers occur to the result of detection in source station direction, and source station is to institute Also there is exception in the result of detection for stating CDN caching servers direction, then is abnormal all data records mark for result of determination Failsafe link is CDN server unit exception, and will appear from abnormal CDN caching servers mark mark in fault type In, if it is CDN server unit exception that associated all data records, which mark failsafe link, fault type is changed The node identification where the CDN caching servers.
14. the device according to claim 12 or 13, it is characterised in that
The locating module is additionally operable to collect all data records that marked failsafe link and fault type, amendment event Hinder link and/or fault type.
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Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108650123A (en) * 2018-05-08 2018-10-12 平安普惠企业管理有限公司 Fault message recording method, device, equipment and storage medium
WO2019062807A1 (en) * 2017-09-29 2019-04-04 贵州白山云科技股份有限公司 Content delivery network fault locating method and device, and computer readable storage medium and computer apparatus for same
CN109618174A (en) * 2018-12-11 2019-04-12 深圳市网心科技有限公司 A kind of live data transmission method, device, system and storage medium
CN109688023A (en) * 2018-12-04 2019-04-26 成都知道创宇信息技术有限公司 A method of the CDN monitoring availability disposed in a manner of anycast
CN111324516A (en) * 2018-11-29 2020-06-23 北京京东尚科信息技术有限公司 Method and device for automatically recording abnormal event, storage medium and electronic equipment
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CN113315646A (en) * 2020-02-27 2021-08-27 阿里巴巴集团控股有限公司 Exception handling method and device for content distribution network and content distribution network
CN113438106A (en) * 2021-06-22 2021-09-24 北京百度网讯科技有限公司 Content distribution network processing method and device and electronic equipment

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115190001B (en) * 2022-07-22 2024-03-08 天翼云科技有限公司 Network abnormal state analysis method and device

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001033752A1 (en) * 1999-11-03 2001-05-10 Measurecast, Inc. Direct tracking of viewers of selected content in audio and video programming provided over a computer network
CN1804831A (en) * 2005-01-13 2006-07-19 陈翌 Network cache management system and method
CN1901468A (en) * 2006-07-19 2007-01-24 华为技术有限公司 Method and network for detecting specific route fault under internet protocol multiple jump condition
CN101459594A (en) * 2007-12-14 2009-06-17 华为技术有限公司 BFD packet transmitting method, link failure detection method and apparatus
CN101599948A (en) * 2008-06-06 2009-12-09 华为技术有限公司 Method for sounding echo, device and system
CN102457532A (en) * 2010-10-21 2012-05-16 中兴通讯股份有限公司 Method for realizing multiple-CDN and same subject video sharing, apparatus thereof and system thereof
CN103188531A (en) * 2011-12-31 2013-07-03 北大方正集团有限公司 Multi-source signal collection system and method
CN103368940A (en) * 2012-04-09 2013-10-23 英特尔公司 Quality of experience reporting for combined unicast-multicast/broadcast streaming of media content
CN104247340A (en) * 2012-03-22 2014-12-24 阿卡麦科技公司 Ethods and systems for performing message exchange accounting
CN104579717A (en) * 2013-10-09 2015-04-29 中国移动通信集团江苏有限公司 Method and device for locating fault of DCN
CN106803951A (en) * 2015-11-26 2017-06-06 德科仕通信(上海)有限公司 The live interim card method for diagnosing faults of HLS

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101217402B (en) * 2008-01-15 2012-01-04 杭州华三通信技术有限公司 A method to enhance the reliability of the cluster and a high reliability communication node
CN101989934B (en) * 2009-08-06 2017-04-05 中兴通讯股份有限公司 A kind of data ring network fault detect and the method and system of positioning
EP3039831A1 (en) * 2013-08-30 2016-07-06 Nokia Solutions and Networks Oy Methods and apparatus
CN106789390A (en) * 2016-04-28 2017-05-31 新华三技术有限公司 A kind of pseudo-wire condition detection method and device
CN107769963B (en) * 2017-09-29 2019-01-25 贵州白山云科技股份有限公司 A kind of content distributing network Fault Locating Method and device

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2001033752A1 (en) * 1999-11-03 2001-05-10 Measurecast, Inc. Direct tracking of viewers of selected content in audio and video programming provided over a computer network
CN1804831A (en) * 2005-01-13 2006-07-19 陈翌 Network cache management system and method
CN1901468A (en) * 2006-07-19 2007-01-24 华为技术有限公司 Method and network for detecting specific route fault under internet protocol multiple jump condition
CN101459594A (en) * 2007-12-14 2009-06-17 华为技术有限公司 BFD packet transmitting method, link failure detection method and apparatus
CN101599948A (en) * 2008-06-06 2009-12-09 华为技术有限公司 Method for sounding echo, device and system
CN102457532A (en) * 2010-10-21 2012-05-16 中兴通讯股份有限公司 Method for realizing multiple-CDN and same subject video sharing, apparatus thereof and system thereof
CN103188531A (en) * 2011-12-31 2013-07-03 北大方正集团有限公司 Multi-source signal collection system and method
CN104247340A (en) * 2012-03-22 2014-12-24 阿卡麦科技公司 Ethods and systems for performing message exchange accounting
CN103368940A (en) * 2012-04-09 2013-10-23 英特尔公司 Quality of experience reporting for combined unicast-multicast/broadcast streaming of media content
CN104579717A (en) * 2013-10-09 2015-04-29 中国移动通信集团江苏有限公司 Method and device for locating fault of DCN
CN106803951A (en) * 2015-11-26 2017-06-06 德科仕通信(上海)有限公司 The live interim card method for diagnosing faults of HLS

Cited By (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2019062807A1 (en) * 2017-09-29 2019-04-04 贵州白山云科技股份有限公司 Content delivery network fault locating method and device, and computer readable storage medium and computer apparatus for same
CN108650123A (en) * 2018-05-08 2018-10-12 平安普惠企业管理有限公司 Fault message recording method, device, equipment and storage medium
CN111324516A (en) * 2018-11-29 2020-06-23 北京京东尚科信息技术有限公司 Method and device for automatically recording abnormal event, storage medium and electronic equipment
CN109688023A (en) * 2018-12-04 2019-04-26 成都知道创宇信息技术有限公司 A method of the CDN monitoring availability disposed in a manner of anycast
CN109688023B (en) * 2018-12-04 2021-10-12 成都知道创宇信息技术有限公司 Method for monitoring availability of CDN (content delivery network) deployed in anycast mode
CN109618174A (en) * 2018-12-11 2019-04-12 深圳市网心科技有限公司 A kind of live data transmission method, device, system and storage medium
CN111628878A (en) * 2019-02-27 2020-09-04 北京奇虎科技有限公司 Fault positioning method, device and system based on multi-stage network nodes
CN113315646A (en) * 2020-02-27 2021-08-27 阿里巴巴集团控股有限公司 Exception handling method and device for content distribution network and content distribution network
CN112769643A (en) * 2020-12-28 2021-05-07 北京达佳互联信息技术有限公司 Resource scheduling method and device, electronic equipment and storage medium
CN112769643B (en) * 2020-12-28 2023-12-29 北京达佳互联信息技术有限公司 Resource scheduling method and device, electronic equipment and storage medium
CN113242443A (en) * 2021-05-28 2021-08-10 北京达佳互联信息技术有限公司 Data stream transmission abnormity detection method and device
CN113242443B (en) * 2021-05-28 2022-09-30 北京达佳互联信息技术有限公司 Data stream transmission abnormity detection method and device
CN113438106A (en) * 2021-06-22 2021-09-24 北京百度网讯科技有限公司 Content distribution network processing method and device and electronic equipment
CN113438106B (en) * 2021-06-22 2023-02-21 北京百度网讯科技有限公司 Content distribution network processing method and device and electronic equipment

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