CN109905261A - Method for diagnosing faults and device - Google Patents
Method for diagnosing faults and device Download PDFInfo
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- CN109905261A CN109905261A CN201711297407.5A CN201711297407A CN109905261A CN 109905261 A CN109905261 A CN 109905261A CN 201711297407 A CN201711297407 A CN 201711297407A CN 109905261 A CN109905261 A CN 109905261A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/40—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using virtualisation of network functions or resources, e.g. SDN or NFV entities
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0604—Management of faults, events, alarms or notifications using filtering, e.g. reduction of information by using priority, element types, position or time
- H04L41/0613—Management of faults, events, alarms or notifications using filtering, e.g. reduction of information by using priority, element types, position or time based on the type or category of the network elements
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
- H04L41/5003—Managing SLA; Interaction between SLA and QoS
- H04L41/5009—Determining service level performance parameters or violations of service level contracts, e.g. violations of agreed response time or mean time between failures [MTBF]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/50—Network service management, e.g. ensuring proper service fulfilment according to agreements
- H04L41/5003—Managing SLA; Interaction between SLA and QoS
- H04L41/5009—Determining service level performance parameters or violations of service level contracts, e.g. violations of agreed response time or mean time between failures [MTBF]
- H04L41/5012—Determining service level performance parameters or violations of service level contracts, e.g. violations of agreed response time or mean time between failures [MTBF] determining service availability, e.g. which services are available at a certain point in time
- H04L41/5016—Determining service level performance parameters or violations of service level contracts, e.g. violations of agreed response time or mean time between failures [MTBF] determining service availability, e.g. which services are available at a certain point in time based on statistics of service availability, e.g. in percentage or over a given time
Abstract
The invention relates to a kind of method for diagnosing faults and devices, this method specifically includes: determining and virtual network function VNF traffic failure occurs, obtain the diagnostic rule of VNF traffic failure, the associated resource associations data of VNF traffic failure are matched with diagnostic rule, determine the failure cause of VNF traffic failure.In the present solution, the relationship by determining NFV operation layer failure and NFVI underlying resource failure may be implemented by matching to the associated resource associations data of VNF traffic failure with diagnostic rule, the fault location and processing for quickly carrying out NFV operation layer are realized.
Description
Technical field
This application involves a kind of method and devices of fault diagnosis in communication network field more particularly to network.
Background technique
In order to improve the disposition flexibility of communication network, cut operating costs, network function virtualizes (network
Functions virtualization, NFV) technology fast development gets up.By NFV technology, network function is set by virtualizing
It is standby to complete, and network function and particular hardware are decoupled.NFV technology has become cloud service provider (Cloud Service
Provider, CSP) development main drive.Concern when also becoming NFV technology scale commercialization for the fault diagnosis of NFV
Important Problems.
Currently, the fault diagnosis technology of NFV is only at virtual network function (virtual network function, VNF)
Network function virtualized infrastructure (network functions virtualization internal or in bottom
Infrastructure, NFVI) progress of layer inside.For example, breaking down at NFVI layers and passing through virtualization base after generating warning
Infrastructure manager (virtualised infrastructure manager, VIM) interface is sent to VNF manager (VNF
Manager, VNFM), and notify Element management system (element management system, EMS).
But the prior art can not determine the relationship of NFV operation layer failure and NFVI underlying resource failure, can not quickly into
The fault location and processing of row NFV operation layer.
Summary of the invention
The embodiment of the invention provides a kind of diagnostic method and device, may be implemented by determine NFV operation layer failure and
The relationship of NFVI underlying resource failure realizes the fault location and processing for quickly carrying out NFV operation layer.
In a first aspect, the embodiment of the present application provides a kind of diagnostic method, this method is specifically included: determining and virtual net occurs
Network function VNF traffic failure, obtain VNF traffic failure diagnostic rule, by the associated resource associations data of VNF traffic failure with
Diagnostic rule matches, and determines the failure cause of VNF traffic failure.
In the present solution, may be implemented by matching to the associated resource associations data of VNF traffic failure with diagnostic rule
By determining the relationship of NFV operation layer failure and NFVI underlying resource failure, the fault location for quickly carrying out NFV operation layer is realized
With processing.
In an optional implementation, above-mentioned " diagnostic rule for obtaining VNF traffic failure " may include: that basis is gone through
The Records of the Historian record with the associated resource associations data of VNF traffic failure, using the first algorithm calculate VNF traffic failure diagnosis advise
Then.
In another optional implementation, above-mentioned " the first algorithm " may include: frequent-item algorithm.
In another optional implementation, above-mentioned " resource associations data " may include at least one of following, resource
Key Performance Indicator (key performance indicator, KPI) statistical data, resource alarm information, resource log letter
Breath.
In another optional implementation, above-mentioned " resource KPI statistical data " may include resource in measurement period
KPI sampled data it is at least one of following: accumulation and average value, maximum value and real value.
In another optional implementation, above-mentioned " resource associations data " can be obtained by periodical polling mode
It takes, or is obtained by subscribing manner.
In another optional implementation, above-mentioned " determine and the VNF traffic failure occurs " may include: by dynamic
State threshold value or static threshold method judge the VNF traffic failure.
Second aspect, the embodiment of the present application provide a kind of diagnostic device, which specifically includes: processing module is used for
It determines and virtual network function VNF traffic failure occurs；Communication module, for obtaining the diagnostic rule of VNF traffic failure；The processing
Module determines the event of VNF traffic failure for the associated resource associations data of VNF traffic failure to match with diagnostic rule
Hinder reason.
In the present solution, may be implemented by matching to the associated resource associations data of VNF traffic failure with diagnostic rule
By determining the relationship of NFV operation layer failure and NFVI underlying resource failure, the fault location for quickly carrying out NFV operation layer is realized
With processing.
Wherein, processing module is specifically used for, and judges the VNF business event by dynamic threshold or static threshold method
Barrier.Communication module is specifically used for, and according to historical record and the associated resource associations data of the VNF traffic failure, uses
One algorithm calculates the diagnostic rule of the VNF traffic failure.
It should be noted that function performed in above-mentioned first aspect method design may be implemented in each module in second aspect
Can, the function can also execute corresponding software realization by hardware realization by hardware.The hardware or software package
Include one or more modules corresponding with above-mentioned function.This will not be repeated here.
The third aspect is deposited in the computer storage medium the embodiment of the invention provides a kind of computer storage medium
Instruction is contained, when run on a computer, so that computer executes any one of above-mentioned first aspect or first aspect
Method described in possible design.
Fourth aspect is deposited in the computer storage medium the embodiment of the invention provides a kind of computer storage medium
Instruction is contained, when run on a computer, so that computer executes any one of above-mentioned second aspect or second aspect
Method described in possible design.
5th aspect, the embodiment of the invention provides a kind of computer program products, and it includes instructions, when described program quilt
When performed by computer, the instruction is so that computer executes any one possible design of above-mentioned first aspect or first aspect
Described in method.
6th aspect, the embodiment of the invention provides a kind of computer program products, and it includes instructions, when described program quilt
When performed by computer, the instruction is so that computer executes any one possible design of above-mentioned second aspect or second aspect
Described in method.
Detailed description of the invention
Fig. 1 is a kind of system architecture schematic diagram of troubleshooting provided in an embodiment of the present invention；
Fig. 2 is the schematic diagram that a kind of subscribing manner provided in an embodiment of the present invention obtains resource data method；
Fig. 3 is the schematic diagram that a kind of polling mode provided in an embodiment of the present invention obtains resource data method；
Fig. 4 is the method schematic diagram that a kind of traffic failure provided in an embodiment of the present invention generates associated data；
Fig. 5 is a kind of method schematic diagram for diagnosing traffic failure provided in an embodiment of the present invention；
Fig. 6 is a kind of structural schematic diagram of diagnostic device provided in an embodiment of the present invention；
Fig. 7 is the structural schematic diagram of another diagnostic device provided in an embodiment of the present invention.
Specific embodiment
To be further explained explanation below in conjunction with the accompanying drawings and the specific embodiments convenient for the understanding of the present invention.
Fig. 1 is a kind of system architecture schematic diagram of fault diagnosis provided in an embodiment of the present invention.As shown in Figure 1, the system
It mainly include VNF operation layer and NFVI resource layer.VNF realizes that business function, each VNF also correspond to an Element management system
(element management system, EMS), is managed VNF.NFVI layers include hardware resource and virtual resource, firmly
Part resource may include the resources such as computing hardware, storage hardware, the network hardware in bottom.Base of the virtual resource in hardware resource
It is constituted on plinth, including virtual computing resource, virtual storage resource, virtual network resource etc., forms virtualization pool.VNF business
Layer and NFVI operation layer respectively have its management system, VNF manager (VNFM) and NFV infrastructure manager (VIM).
In addition, system shown in FIG. 1 further includes database (DB), for storing the data of fault diagnosis needs.Operation layer
VNF and EMS can directly access the database, database can also be accessed by VNFM.The all data of NFVI resource layer, example
Such as KPI data, every warning information etc. can report to VNFM by VIM, and store in the database.
Applied to above system, the embodiment of the present invention provides a kind of method of fault diagnosis, main obtaining including source data
It takes, the generation of associated data, the diagnosis of traffic failure.These diagnostic methods can be executed by VNF, can also be executed by EMS,
Latter embodiments illustrate so that VNF is executed as an example.
Data source can there are many, for example, NFVI resource alarm information, NFVI resource KPI data and NFVI log etc.,
The mode of acquisition can also there are many, such as: mode, mode of poll of subscription etc..
Fig. 2 is the schematic diagram that a kind of subscribing manner provided in an embodiment of the present invention obtains resource data method, such as Fig. 2 institute
Show, specifically include:
S201, VNF business are pulled subscription resource alarm information in NFVI layers by VNFM.
VNF pulls subscription NFVI layers of alarm.VNF sends ginseng of the subscription request message to VNFM, in subscription request message
Number includes VNF mark, alarm identifier.After VNFM receives subscription message, warning information is subscribed to VNFI.
Underlying resource in the process of running, can generate some warning information, such as: CPU usage is excessively high, low memory,
Network congestion etc..After VNF has subscribed warning information, if NFVI layers generate alarm in the process of running, alarm will be believed
Breath is sent to VNFM, which is sent to operation layer again by VNFM.
S202:VNF business receives NFVI resource alarm message.
When the resource in NFVI breaks down alarm, VNFM receives the resource alarm message of NFVI layers of transmission, and VNFM will
The alarm information is sent to the VNF business for subscribing to warning information.Contained in resource alarm message resource identification, alarm identifier,
The relevant informations such as the VNF mark of subscription.
Received warning information is stored in database by S203:VNF business.
The resource alarm information received is stored in database by VNF business, and the resource alarm information of storage includes following word
Section: alarm time, resource identification, alarm identifier and alarm name etc..
Fig. 3 is the schematic diagram that a kind of polling mode provided in an embodiment of the present invention obtains resource data method, such as Fig. 3 institute
Show, can specifically include:
NFVI layers of resource KPI sampling task of S301, VNF service generation.
Operation layer obtains the KPI data of resource layer, generallys use the mode of periodic samples, for example, the sampling period can be with
It is 10 seconds or 1 minute etc..
S302, VNF business obtain associated resource information.
After task generates, every sampling time is carried out this sampling task.Specifically, VNF operation layer gets business institute
Virtual machine (virtual machine, VM), virtual resources and the physical resource Information such as host (host).
S303:VNF service request samples the KPI data of resource in NFVI layers.
After operation layer transmission sample request message receives sample request message to VNFM, VNFM, dependency number is requested to NFVI
According to.It include: VNF mark, the information of VM, the information of host and KPI mark in sample request message.The KPI data of NFVI resource
It may include multiple, such as the portfolio etc. handled in current network speed, hard disk data access amount, the upper a cycle of VM.
S304:VNF business generates KPI statistical data according to the resource KPI data of sampling.
Operation layer calculates the KPI statistical data in a measurement period after receiving the KPI data of sampling.Statistics week
Phase can be N times of sampling period, for example, when N is 6 times, measurement period is 1 minute when the sampling period is 10 seconds.
Statistical data can there are many, such as following statistical data:
Accumulation and (SUM): the aggregate-value of the resource KPI data sampled in measurement period.
Average value (SVG): the average value (accumulation of sampled value and divided by adopting of the resource KPI data sampled in measurement period
Sample number).
Maximum value (MAX): the maximum value of the resource KPI data sampled in measurement period.
Real value (REAL): the last one sampled value of resource KPI data in measurement period.
Above-mentioned resource KPI statistical data is stored in database by S305:VNF business.
The statistical data of above-mentioned resource KPI can be stored in database, may include in the resource KPI statistics table of storage
Following field: measurement period, KPI mark, KPI title, KPI statistical data etc..
By the method for above-mentioned subscribing manner and periodical poll, VNF business persistently obtains the warning information of underlying resource
With KPI statistical data.The data source of diagnosis is provided for subsequent traffic failure.
Fig. 4 is the method schematic diagram that a kind of traffic failure provided in an embodiment of the present invention generates associated data, such as Fig. 4 institute
Show, after the business of detecting breaks down, establishes the associated data of associated with this failure faulty resource and resource alarm, tool
Body includes:
S401:VNF business judges that the business datum of the service operation breaks down.
VNF business judges the business datum of the service operation by the method for dynamic threshold or static threshold, if industry
Data of being engaged in are more than dynamic threshold or static threshold, it is determined that VNF business breaks down.
The NFVI resource KPI statistical data stored in S402:VNF business reading database.
VNF business obtains the resource KPI of the NFVI in association duration from database according to the above-mentioned traffic failure detected
Statistical data.There may be associated time spans for a length of and traffic failure when association, for example, can be configured to a few minutes or tens
Minute.In this way, subsequent in database need not retain all data, only reservation is to the possible relevant resource data of traffic failure
It can.Different resource data types, such as resource alarm information and resource KPI statistical data, when can configure different associations
It is long.
S403:VNF business determines resource KPI failure.
There are failures by which determining resource KPI statistical data of the methods of dynamic threshold or static threshold for VNF business.
Such as CPU usage is more than threshold value.
The resource alarm information stored in S404:VNF business reading database.
Equally, VNF business obtains the resource alarm in association duration from database according to the above-mentioned traffic failure detected
Information table.
S405:VNF business determines the associated data of traffic failure.
VNF business by above-mentioned steps S403 determine there are the resource KPI statistical data of failure, step S404 obtain money
Associated data of the source warning information as VNF traffic failure.
S406:VNF business will be in the associated data deposit database of traffic failure.
Associated data is stored in the traffic failure contingency table in database by VNF business, the contingency table can include: business event
Downtime, traffic failure mark, associated resource KPI statistical data, associated resource alarm information etc..
In this way, storing the associated data of traffic failure Yu resource KPI and resource alarm in database.Subsequent each VNF
When traffic failure occurring in service operation, the process of Fig. 4 is all repeated, is closed to constantly increase for traffic failure contingency table
Join data, provides historical data abundant for consequent malfunction diagnosis.
Fig. 5 is a kind of method schematic diagram for diagnosing traffic failure provided in an embodiment of the present invention, as shown, according to data
Historical data and certain algorithm in library are the reason of being diagnosed to be the underlying resource for causing VNF that traffic failure occurs, specific to wrap
It includes:
S501:VNF business initiates traffic failure diagnosis.
When traffic failure occurs in the process of running for VNF business, traffic failure diagnosis is initiated, to determine traffic failure
The reason of.
Traffic failure contingency table in S502:VNF business reading database.
VNF business reads the traffic failure contingency table content of historical record from database, including is associated with traffic failure
Resource KPI statistical data, and with the associated resource alarm information of traffic failure.
S503:VNF business determines diagnostic rule according to traffic failure contingency table.
VNF business calculates business event by related first algorithm according to the associated data in traffic failure contingency table
The diagnostic rule of barrier.First algorithm has very much, such as frequent-item algorithm.It, can be by VNF industry according to frequent-item algorithm
Associated data of the failure of being engaged in historical time gets VNF traffic failure and corresponding resource KPI failure or resource alarm
Relevance, that is, the diagnostic rule.
S504:VNF business is from the associated data for obtaining the traffic failure in this secondary association duration in database.
VNF business is wrapped from associated data associated with the traffic failure for needing to diagnose in this period is obtained in database
Include resource KPI statistical data and resource alarm information.
S505:VNF business determines diagnostic result according to diagnostic rule and associated data.
By the relevant resource KPI statistical data of above-mentioned traffic failure and resource alarm information, match with diagnostic rule, it can be true
Determine diagnostic result.Determine the root of traffic failure because being can most have which resource alarm information or resource KPI statistical data abnormal
It is caused.It substantially glides for example, VNF traffic failure shows as user's 4G flow, finally navigates to a hardware resource (network interface card)
Generate alarm.
The embodiment of the present invention by the collection to underlying resource KPI data and warning information, and with VNF traffic failure
Association, realizes quick positioning service failure, greatly improves the ability and system reliability of fault recovery.
The embodiment of the present invention can carry out the division of functional module according to above method example to diagnostic device, using collection
At module in the case where, Fig. 6 be a kind of structural schematic diagram of diagnostic device provided in an embodiment of the present invention.Diagnostic device 600
It include: memory module 601, processing module 602 and communication module 603.Processing module 602 is used for the movement to diagnostic device and carries out
Control management, such as: processing module 602, for supporting diagnostic device to execute the process 501 and 503 in Fig. 5, and/or for this
Other processes of technology described in text.Communication module 403 is used to obtain the diagnostic rule of VNF traffic failure.Diagnostic device is also
It may include memory module 601, the statistical data etc. for storage resource KPI.
Wherein, processing module 602 can be processor or controller, such as can be central processing unit (Central
Processing Unit, CPU), general processor, digital signal processor (Digital Signal Processor, DSP),
Specific integrated circuit (Application-Specific Integrated Circuit, ASIC), field programmable gate array
It is (Field Programmable Gate Array, FPGA) or other programmable logic device, transistor logic, hard
Part component or any combination thereof.It, which may be implemented or executes, combines various examples described in disclosure of the embodiment of the present invention
The logic block of property, module and circuit.The processor is also possible to realize the combination of computing function, such as includes one or more
The combination etc. of a micro processor combination, DSP and microprocessor.Communication module 603 can be communication interface, transceiver, transmitting-receiving
Circuit etc., wherein communication interface is to be referred to as, and may include one or more interfaces.Memory module 601 can be memory.
When processing module 602 is processor, communication module 603 is communication interface, when memory module 601 is memory, this
Terminal device involved in inventive embodiments can be terminal device shown in Fig. 7.
As shown in fig.7, Fig. 7 is the structural schematic diagram of another diagnostic device provided in an embodiment of the present invention, the diagnosis
Device 700 includes: processor 701, communication interface 703, memory 701.Wherein, it communication interface 703, processor 702 and deposits
Reservoir 701 can be connected with each other by communication connection.
In above-described embodiment, each functional module of each function division can be corresponded to, it can also be by two or more
Function be integrated in a processing module.Above-mentioned integrated module both can take the form of hardware realization, can also use
The form of software function module is realized.It should be noted that being schematically, only to the division of module in the embodiment of the present invention
For a kind of logical function partition, there may be another division manner in actual implementation.Diagnostic device in order to realize the above functions,
It contains and executes the corresponding hardware configuration of each function and/or software module.Those skilled in the art should be readily appreciated that,
Unit and algorithm steps described in conjunction with the examples disclosed in the embodiments of the present disclosure, the present invention can with hardware or hardware and
The combining form of computer software is realized.Some functions is held in a manner of hardware or computer software driving hardware actually
Row, specific application and design constraint depending on technical solution.Professional technician can carry out each specific application
It uses different methods to achieve the described function, but such implementation should not be considered as beyond the scope of the present invention.
Professional should further appreciate that, described in conjunction with the examples disclosed in the embodiments of the present disclosure
Module and algorithm steps, can be realized with electronic hardware, computer software, or a combination of the two, hard in order to clearly demonstrate
The interchangeability of part and software generally describes each exemplary composition and step according to function in the above description.
These functions are implemented in hardware or software actually, the specific application and design constraint depending on technical solution.
Professional technician can use different methods to achieve the described function each specific application, but this realization
It should not be considered as beyond the scope of the present invention.
The step of method described in conjunction with the examples disclosed in this document or algorithm, can be executed with hardware, processor
The combination of software module or the two is implemented.Software module can be placed in random access memory (RAM), memory, read-only memory
(ROM), electrically programmable ROM, electrically erasable ROM, register, hard disk, moveable magnetic disc, CD-ROM or technical field
In any other form of storage medium well known to interior.
Above-described specific embodiment has carried out further the purpose of the present invention, technical scheme and beneficial effects
It is described in detail, it should be understood that being not intended to limit the present invention the foregoing is merely a specific embodiment of the invention
Protection scope, all within the spirits and principles of the present invention, any modification, equivalent substitution, improvement and etc. done should all include
Within protection scope of the present invention.
Claims (16)
1. a kind of virtual network function VNF traffic failure diagnostic method characterized by comprising
It determines and virtual network function VNF traffic failure occurs；
Obtain the diagnostic rule of the VNF traffic failure；
The associated resource associations data of the VNF traffic failure are matched with the diagnostic rule, determine the VNF business event
The failure cause of barrier.
2. the method according to claim 1, wherein the diagnostic rule for obtaining VNF traffic failure, comprising:
According to historical record and the VNF traffic failure associated resource associations data, calculated using the first algorithm described
The diagnostic rule of VNF traffic failure.
3. according to the method described in claim 2, it is characterized in that, first algorithm includes: frequent-item algorithm.
4. method according to claim 1-3, which is characterized in that the resource associations data include it is following at least
One: resource KPI statistical data, resource alarm information, resource log information.
5. according to the method described in claim 4, it is characterized in that, the resource KPI statistical data includes that measurement period is domestic-investment
Source KPI sampled data it is at least one of following: accumulation and average value, maximum value and real value.
6. according to the method described in claim 4, it is characterized in that, the resource associations data are obtained by periodical polling mode
It takes, or is obtained by subscribing manner.
7. method according to claim 1-6, which is characterized in that determine that the VNF traffic failure, which occurs, includes:
The VNF traffic failure is judged by dynamic threshold or static threshold method.
8. a kind of diagnostic device characterized by comprising
For determining virtual network function VNF traffic failure occurs for processing module；
Communication module, for obtaining the diagnostic rule of the VNF traffic failure；
The processing module, for the associated resource associations data of the VNF traffic failure to be matched with the diagnostic rule,
Determine the failure cause of the VNF traffic failure.
9. device according to claim 8, which is characterized in that the communication module is specifically used for, according to historical record
With the associated resource associations data of the VNF traffic failure, advised using the diagnosis that the first algorithm calculates the VNF traffic failure
Then.
10. device according to claim 9, which is characterized in that first algorithm includes: frequent-item algorithm.
11. according to the described in any item devices of claim 8-10, which is characterized in that the resource associations data include it is following extremely
One item missing: resource KPI statistical data, resource alarm information, resource log information.
12. device according to claim 11, which is characterized in that the resource KPI statistical data includes in measurement period
Resource KPI sampled data it is at least one of following: accumulation and average value, maximum value and real value.
13. device according to claim 11, which is characterized in that the resource associations data pass through periodical polling mode
It obtains, or is obtained by subscribing manner.
14. according to the described in any item devices of claim 8-13, which is characterized in that the processing module is specifically used for, and passes through
Dynamic threshold or static threshold method judge the VNF traffic failure.
15. a kind of computer readable storage medium, including instruction, when run on a computer, so that computer executes such as
Method described in claim 1-7 any one.
16. a kind of computer program product comprising instruction, when run on a computer, so that computer executes such as right
It is required that method described in 1-7 any one.
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| CN201711297407.5A CN109905261A (en) | 2017-12-08 | 2017-12-08 | Method for diagnosing faults and device |
| PCT/CN2018/119426 WO2019109961A1 (en) | 2017-12-08 | 2018-12-05 | Fault diagnosis method and apparatus |
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| CN201711297407.5A CN109905261A (en) | 2017-12-08 | 2017-12-08 | Method for diagnosing faults and device |
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| CN113596891A (en) * | 2021-07-28 | 2021-11-02 | 中国联合网络通信集团有限公司 | Fault positioning method, device, server, storage medium and system |
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| CN111934910B (en) * | 2020-07-14 | 2023-03-24 | 中国联合网络通信集团有限公司 | Fault processing method, equipment and storage medium |
| CN113608916B (en) * | 2021-10-08 | 2022-01-04 | 苏州浪潮智能科技有限公司 | Fault diagnosis method and device, electronic equipment and storage medium |
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