CN106941425B - A kind of link health detecting system and method based on RTT monitoring - Google Patents
A kind of link health detecting system and method based on RTT monitoring Download PDFInfo
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- CN106941425B CN106941425B CN201610005141.1A CN201610005141A CN106941425B CN 106941425 B CN106941425 B CN 106941425B CN 201610005141 A CN201610005141 A CN 201610005141A CN 106941425 B CN106941425 B CN 106941425B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0852—Delays
- H04L43/0864—Round trip delays
Abstract
The present invention relates to a kind of link health detecting systems based on RTT monitoring, comprising: real-time monitoring module, timing module, reference file module, anomaly statistics module and adaptively sampled module；Wherein, real-time monitoring module is responsible for being measured in real time chain road data packet two-way time and comparing with a reference value provided by reference file module；The reference file module provides a reference value, is also responsible for being weighted update to day part historical baseline values；The timing module is responsible for determination and is presently in the period；The anomaly statistics module is responsible for counting frequency of abnormity；The adjustment of adaptively sampled module anomalous counts value according to provided by anomaly statistics module sends the interval of monitoring data packet.
Description
Technical field
The present invention relates to network monitor field, in particular to a kind of link health detecting system and side based on RTT monitoring
Method.
Background technique
Many enterprises will appreciate that single Internet exportation link problems brought by for link once interrupting, interior employee will
Internet can not be accessed, branch VPN is interrupted, and website mailbox can not be serviced externally.Therefore many enterprises can dispose a plurality of
Operator's link solves the unreliable of single outlet.But multilink needs to be carried out according to the health status of each link after introducing
Load balancing deployment.This just needs a kind of real-time link health detecting method and system.
Technical indicator of the network delay as intuitive reflection network performance quality, by ietf standard tissue and almost institute
The attention of some network performance research institutions, it is primary using it as being analyzed network performance, being furtherd investigate comprehensively one after another
Index.Network delay is small, illustrates that network connection performance is good, all components on network path are in normal operating condition.Network
Delay is big, and continues the quite a while, then the certain components for implying that the network path is passed through have occurred abnormal behaviour, cause
The switching performance is deteriorated, and the high-level business performance of carrying may also be affected.Therefore, by carrying out whole day to network delay
Wait, in real time measurement and analysis, can in time awareness network operating condition.
But current most methods all do not account for a problem, that is, two-way time (Round-TripTime,
RTT) distribution has some cycles, dependent on the difference of daily time and the difference of user network behavior, normal RTT curve
Should have and centainly fluctuate, rather than straight line.
Summary of the invention
It is an object of the invention to overcome existing link health monitoring systems and method not to account for two-way time distribution
With periodic defect, to provide a kind of more accurate link health monitoring systems of a reference value and method.
To achieve the goals above, the present invention provides a kind of link health detecting systems based on RTT monitoring, comprising:
Real-time monitoring module 101, timing module 102, reference file module 103, anomaly statistics module 104 and adaptively sampled module
105；Wherein,
The real-time monitoring module 101 be responsible for chain road data packet two-way time be measured in real time and and reference file
A reference value provided by module 103 compares；The reference file module 103 provides a reference value, is also responsible for going through day part
History a reference value is weighted update；The timing module 102 is responsible for determination and is presently in the period；The anomaly statistics module 104
It is responsible for statistics frequency of abnormity；The adaptively sampled module 105 anomalous counts value tune according to provided by anomaly statistics module 104
It haircuts and send the interval of monitoring data packet.
The present invention also provides the link health realized based on the link health detecting system based on RTT monitoring
Detection method, comprising:
Step 1), system initialization, and input link to be monitored；Wherein, the system initialization includes to system parameter
Initialization and reference file module 103 initialization；Wherein, the system parameter includes at least abnormal determination threshold value, different
Normal statistical threshold sends detection data inter-packet gap and anomalous counts value；
Step 2) obtains present period by timing module 102, and reference file module 103 gets out the history of present period
A reference value；
Step 3) judges whether to enter a new period, if entering a new period, perform the next step,
Otherwise, step 5) is executed；
Step 4), average to the RTT value recorded in the previous period N, and then weighting updates the RTT benchmark of previous period
2) value, then re-execute the steps；
Step 5) is still in present period, and the beginning of real-time monitoring module 101 is to send probe data packet gap size
T sends monitoring data packet and records the RTT value of acquisition；
Step 6), real-time monitoring module 101 RTT value of every acquisition, will be with the history of present period in reference file
A reference value compares, and the difference both judged is either with or without being more than abnormal determination threshold value, if it does, then follow the steps 11), if
It is not above, performs the next step；
Step 7) judges whether anomalous counts value is greater than 1, if it is greater than 1, performs the next step, otherwise, re-execute the steps
2)；
Step 8), record RTT value, and anomalous counts value is subtracted 1；
Step 9) judges whether anomalous counts value is greater than 0, if so, re-executeing the steps 2), if it is not, under executing
One step；
The gap size for sending probe data packet is become T by step 10), is then re-execute the steps 2)；
Anomaly statistics value is added 1, and abandons the RTT value currently obtained by step 11)；
Step 12) judges whether anomalous counts value has reached anomaly statistics threshold value, if so, perform the next step, otherwise,
Execute step 14)；
Step 13) issues link abnormal alarm, and detection terminates；
Step 14) judges whether anomalous counts value is greater than the half of anomaly statistics threshold value B, if so, perform the next step,
Otherwise, it re-execute the steps 2)；
The gap size for sending probe data packet is become T/2 from T by step 15), is then re-execute the steps 2).
In above-mentioned technical proposal, initialization exception decision threshold Shi Weiqi assignment 100ms, when initialization exception statistical threshold
For its assignment 5, initialization sends detection data inter-packet gap Shi Weiqi assignment 10s, initialization exception count value Shi Weiqi assignment 0.
In above-mentioned technical proposal, in step 4), weighting updates the more new formula of the RTT a reference value of previous period are as follows:
NEW=C1 × H+C2 × N；
Wherein, H is the historical baseline values of previous period RTT, and N is the mean value of previous period real-time monitoring RTT value, and NEW is
Previous period RTT a reference value after update, C1 are weight when weighting related with historical baseline values updates, and C2 is and real-time reference
It is worth the weight that related weighting updates, C1+C2=1, and the value of C2 is greater than the value of C1.
In above-mentioned technical proposal, C1=0.3, C2=0.7.
The present invention has the advantages that
1, the present invention accounts for the fluctuation of RTT, provides more accurate a reference value for link detecting.
2, the method that the present invention takes weighting to update when updating a reference value can use and assign history value certain weight
Come smooth out it is some may the RTT due to caused by a certain special event variation it is excessive, while can also be utilized as the value newly measured tax
Biggish weight is given to retain the general morphologictrend of RTT.
3, the anomaly statistics module in the present invention can effectively eliminate mistake caused by some shakes due to link delay
Alarm.
4, the adaptively sampled module in the present invention can effectively reduce power consumption.
5, method of the invention only introduces subtraction in real-time monitoring, when updating benchmark, also only needs simple
Additions and multiplications, whole computational complexity is relatively low, will not increase excessive burden for whole system, be conducive to engineering
It realizes.
Detailed description of the invention
Fig. 1 is the structural schematic diagram of link health detecting system of the invention；
Fig. 2 is the flow chart of link health detecting method of the invention.
Specific embodiment
Now in conjunction with attached drawing, the invention will be further described.
As shown in Figure 1, link health detecting system of the invention includes: real-time monitoring module 101, timing module 102, base
Quasi- file module 103, anomaly statistics module 104 and adaptively sampled module 105；Wherein,
The real-time monitoring module 101 be responsible for being measured in real time chain road data packet two-way time and with benchmark text
A reference value provided by part module 103 compares；The reference file module 103 is also responsible for pair other than providing a reference value
Day part historical baseline values are weighted update；The timing module 102 is responsible for determination and is presently in the period；The anomaly statistics
Module 104 is responsible for statistics frequency of abnormity；The adaptively sampled module 105 is abnormal according to provided by anomaly statistics module 104
Count value adjustment sends the interval of monitoring data packet.
With reference to Fig. 2, the detection method realized based on link health detecting system of the invention includes:
Step 201, system initialization, and input link to be monitored；Wherein, system initialization includes: that initialization exception is sentenced
Determine threshold value A, anomaly statistics threshold value B, send parameter including detection data inter-packet gap T, such as in one embodiment, when initialization
It is assigned a value of A=100ms, B=5, T=10s respectively for these parameters, can also according to actual needs be this in other embodiments
A little parameters assign other values；Initialization exception count value is 0；Reference file module 103 is initialized, Historical baseline text is read in
Part.
Step 202 obtains present period by timing module 102, and reference file module 103 gets out the history of present period
A reference value.
Step 203 judges whether to enter a new period, if entering a new period, perform the next step,
Otherwise, step 205 is executed.
Step 204, average to the RTT value recorded in the previous period N, and then weighting updates the RTT benchmark of previous period
Value, more new formula are as follows: NEW=C1 × H+C2 × N, wherein H is the historical baseline values of previous period RTT, and N is that the previous period is real
When monitor RTT value mean value, NEW be update after previous period RTT a reference value, C1 be weighting related with historical baseline values update
When weight, C2 be with real-time reference value it is related weighting update weight, C1+C2=1, in order to preferably reflect that variation becomes
Gesture, usually C2 assigns biggish value, assigns lesser value, such as C1=0.3, C2=0.7 for C1；Be then return to step 202 after
It is continuous to execute.
Step 205 is still in present period, and real-time monitoring module 101 starts to send monitoring data Bao Bingji with interval T
Record the RTT value obtained.
Step 206, real-time monitoring module 101 RTT value of every acquisition, will be with the history of present period in reference file
A reference value compares, and judges the difference of the two either with or without being more than abnormal determination threshold value A, if it does, thening follow the steps 211, such as
Fruit is not above, and performs the next step.
Step 207 judges whether anomalous counts value is greater than 1, if it is greater than 1, performs the next step, and otherwise, re-executes step
Rapid 202.
Step 208, record RTT value, and anomalous counts value is subtracted 1.
Step 209 judges whether anomalous counts value is greater than 0, if so, 202 are re-execute the steps, if it is not, executing
In next step.
The gap size for sending probe data packet is become T by step 210, then re-execute the steps 202.
Anomaly statistics value is added 1, and abandons the RTT value currently obtained by step 211.
Step 212 judges whether anomalous counts value has reached anomaly statistics threshold value B, if so, perform the next step, otherwise,
Execute step 214.
Step 213 issues link abnormal alarm, and detection terminates.
Step 214 judges whether anomalous counts value is greater than the half of anomaly statistics threshold value B, if so, perform the next step,
Otherwise, 202 are re-execute the steps.
The gap size for sending probe data packet is become T/2 from T by step 215, then re-execute the steps 202.
It should be noted last that the above examples are only used to illustrate the technical scheme of the present invention and are not limiting.Although ginseng
It is described the invention in detail according to embodiment, those skilled in the art should understand that, to technical side of the invention
Case is modified or replaced equivalently, and without departure from the spirit and scope of technical solution of the present invention, should all be covered in the present invention
Scope of the claims in.
Claims (4)
1. a kind of link health detecting method based on RTT monitoring, based on a kind of link health detecting system based on RTT monitoring
It realizes, which includes: real-time monitoring module (101), timing module (102), reference file module (103), anomaly statistics mould
Block (104) and adaptively sampled module (105)；Wherein,
The real-time monitoring module (101) be responsible for chain road data packet two-way time is measured in real time and with reference file mould
A reference value provided by block (103) compares；The reference file module (103) provides a reference value, is also responsible for day part
Historical baseline values are weighted update；The timing module (102) is responsible for determination and is presently in the period；The anomaly statistics module
(104) it is responsible for statistics frequency of abnormity；The adaptively sampled module (105) is different according to provided by anomaly statistics module (104)
Normal count value adjustment sends the interval of monitoring data packet；The described method includes:
Step 1), system initialization, and input link to be monitored；Wherein, the system initialization includes to the first of system parameter
The initialization of beginningization and reference file module (103)；Wherein, the system parameter includes at least abnormal determination threshold value, exception
Statistical threshold sends detection data inter-packet gap and anomalous counts value；
Step 2) obtains present period by timing module (102), and reference file module (103) gets out the history of present period
A reference value；
Step 3) judges whether to enter a new period, if entering a new period, perform the next step, otherwise,
Execute step 5)；
Step 4), average to the RTT value recorded in the previous period N, and then weighting updates the RTT a reference value of previous period, so
After re-execute the steps 2)；
Step 5) is still in present period, and real-time monitoring module (101) starts to send probe data packet gap size as T
It sends monitoring data packet and records the RTT value of acquisition；
Step 6), real-time monitoring module (101) RTT value of every acquisition, will be with the history base of present period in reference file
Quasi- value compares, and judges the difference of the two either with or without being more than abnormal determination threshold value, if it does, thening follow the steps 11), if do not had
It has more than, performs the next step；
Step 7) judges whether anomalous counts value is greater than 1, if it is greater than 1, performs the next step, otherwise, re-execute the steps 2)；
Step 8), record RTT value, and anomalous counts value is subtracted 1；
Step 9) judges whether anomalous counts value is greater than 0, if so, re-executeing the steps 2), if it is not, performing the next step；
The gap size for sending probe data packet is become T by step 10), is then re-execute the steps 2)；
Anomaly statistics value is added 1, and abandons the RTT value currently obtained by step 11)；
Step 12) judges whether anomalous counts value has reached anomaly statistics threshold value, if so, performing the next step, otherwise, executes
Step 14)；
Step 13) issues link abnormal alarm, and detection terminates；
Step 14) judges whether anomalous counts value is greater than the half of anomaly statistics threshold value B, if so, perform the next step, otherwise,
It re-execute the steps 2)；
The gap size for sending probe data packet is become T/2 from T by step 15), is then re-execute the steps 2).
2. the link health detecting method according to claim 1 based on RTT monitoring, which is characterized in that initialization exception
Decision threshold Shi Weiqi assignment 100ms, initialization exception statistical threshold Shi Weiqi assignment 5, initialization send detection data parlor
Every Shi Weiqi assignment 10s, initialization exception count value Shi Weiqi assignment 0.
3. the link health detecting method according to claim 1 based on RTT monitoring, which is characterized in that in step 4),
Weighting updates the more new formula of the RTT a reference value of previous period are as follows:
NEW=C1 × H+C2 × N；
Wherein, H is the historical baseline values of previous period RTT, and N is the mean value of previous period real-time monitoring RTT value, and NEW is to update
Previous period RTT a reference value afterwards, C1 are weight when weighting related with historical baseline values updates, and C2 is to have with real-time reference value
The weight that the weighting of pass updates, C1+C2=1, and the value of C2 is greater than the value of C1.
4. the link health detecting method according to claim 3 based on RTT monitoring, which is characterized in that C1=0.3, C2
=0.7.
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| CN109522263B (en) * | 2018-11-16 | 2021-10-29 | 郑州云海信息技术有限公司 | I2C link monitoring system |
| CN111404751B (en) * | 2020-03-20 | 2021-05-28 | 南京大学 | RTT (round trip time) prediction method based on RNN (neural network) |
| CN112596985B (en) * | 2020-12-30 | 2023-11-10 | 绿盟科技集团股份有限公司 | IT asset detection method, device, equipment and medium |
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