CN110868355A - NFV network-based topology automatic discovery and fault delimitation method - Google Patents
NFV network-based topology automatic discovery and fault delimitation method Download PDFInfo
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- CN110868355A CN110868355A CN201911135756.6A CN201911135756A CN110868355A CN 110868355 A CN110868355 A CN 110868355A CN 201911135756 A CN201911135756 A CN 201911135756A CN 110868355 A CN110868355 A CN 110868355A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L45/00—Routing or path finding of packets in data switching networks
- H04L45/02—Topology update or discovery
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
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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
- H04L41/0677—Localisation of faults
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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
- H04L41/08—Configuration management of networks or network elements
- H04L41/0893—Assignment of logical groups to network elements
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/455—Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
- G06F9/45533—Hypervisors; Virtual machine monitors
- G06F9/45558—Hypervisor-specific management and integration aspects
- G06F2009/45595—Network integration; Enabling network access in virtual machine instances
Abstract
The invention discloses a topology automatic discovery and fault delimitation method based on an NFV network, which comprises the following steps: s1: collecting IT data and communication data between VNFs in an NFV network and communication data between VMs; s2: analyzing and processing the acquired IT data, the communication data between VNFs and the communication data between VMs to obtain result data; s3: performing data association on the result data to construct an NFV three-layer topology; s4: monitoring faults according to set indexes, judging network element nodes where the indexes are abnormal and the faults are located, identifying core problems of the NFV three-layer topology faults, and associating fault points on the NFV three-layer topology. The method dynamically acquires the network topology by acquiring the data of the NFV network and utilizing a data association analysis method, overcomes the defects of low efficiency and poor instantaneity and accuracy of the traditional method, and can accurately position the fault through the association of the fault point and the topology.
Description
Technical Field
The invention relates to the technical field of mobile communication, in particular to a topology automatic discovery and fault delimitation method based on an NFV network.
Background
Network Function Virtualization (NFV) refers to a software process that uses generic hardware such as x86 and virtualization technology to carry a very large number of functions. Thereby reducing the cost of expensive equipment for the network.
The current limitation is limited by traditional communication equipment, the maintenance and problem discovery of network elements are all black boxes for operators, the delimitation analysis of faults can not be carried out, and the operation and maintenance cost is increased and the timeliness is reduced by completely depending on equipment manufacturers. The development of NFV technology makes each equipment manufacturer to be universal, using the same hardware and virtual resources. The operation and maintenance based on the NFV network are greatly facilitated, the most important part of the network is topology-based analysis and fault definition analysis, the traditional network topology is largely missed due to manual static maintenance, the network topology under the NFV network is changed relatively frequently, and the automatic discovery of the network topology and the fault definition analysis need to be realized through a technical means.
Disclosure of Invention
The invention provides a method for automatically discovering topology and delimiting faults based on an NFV network, aiming at overcoming the defects that the NFV network topology manual static maintenance efficiency is low, the real-time performance and the accuracy are poor, and the fault analysis and topology separation can not accurately position the fault position in the prior art.
The primary objective of the present invention is to solve the above technical problems, and the technical solution of the present invention is as follows:
a topology automatic discovery and fault delimitation method based on an NFV network comprises the following steps:
s1: collecting IT data and communication data between VNFs in an NFV network and communication data between VMs;
s2: analyzing and processing the acquired IT data, the communication data between VNFs and the communication data between VMs to obtain result data;
s3: performing data association on the result data to construct an NFV three-layer topology;
s4: monitoring faults according to set indexes, judging network element nodes where the indexes are abnormal and the faults are located, identifying core problems of the NFV three-layer topology faults, and associating fault points on the NFV three-layer topology.
Further, step S1 acquires IT data in the NFV network and communication data between VNFs, where the specific process of communication data between VMs is as follows:
s101: deploying an acquisition probe and an acquisition control module in each host in the NFV network;
s102: the acquisition control module issues an acquisition instruction and starts data acquisition, wherein the data comprises: IT data, communication data between VNFs, communication data between VMs.
Further, the specific process of step S2 is:
s201: and sending the collected IT data and the communication data between VNFs and the communication data between VMs to a coding and decoding and DPI system for data analysis to obtain result data.
Further, the data association in step S3 is to associate the IT domain of the collected data with the signaling domain, and the data association includes the steps of: selecting an association key, acquiring the association key, identifying the VNF type and synchronizing the association time;
selecting an associated key: selecting communication data between IT data and VNF, and taking VM _ ID, HOST _ ID, PORT _ ID, MAC, VLAN _ ID and IP in the communication data between VMs as associated keys;
acquiring an association key: extracting the associated key from the result data of step S2;
identifying a VNF category: using 3GPP standard flow information to identify VNF types in the associated data and simultaneously constructing a service topology;
synchronization association time: and carrying out time synchronization on different NFV networks by adopting the same time standard, and ensuring synchronous updating of the associated keys.
Further, when the association time is synchronized, if the NFV network is in an asynchronous processing mode, the processing delay is limited by a time window.
Further, the NFV three-tier topology is a VNF-VM-HOST three-tier topology.
Compared with the prior art, the technical scheme of the invention has the beneficial effects that:
the method dynamically acquires the network topology by acquiring the data of the NFV network and utilizing a data association analysis method, overcomes the defects of low efficiency and poor instantaneity and accuracy of the traditional method, and can accurately position the fault through the association of the fault point and the topology.
Drawings
FIG. 1 is a flow chart of the method of the present invention.
Fig. 2 is a data collection information page display diagram.
Fig. 3 is a schematic diagram of the present invention.
Fig. 4 is a schematic diagram of data association.
Detailed Description
In order that the above objects, features and advantages of the present invention can be more clearly understood, a more particular description of the invention will be rendered by reference to the appended drawings. It should be noted that the embodiments and features of the embodiments of the present application may be combined with each other without conflict.
In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present invention, however, the present invention may be practiced in other ways than those specifically described herein, and therefore the scope of the present invention is not limited by the specific embodiments disclosed below.
Noun interpretation
VNF is a virtual network element;
VM virtual network element component.
Example 1
As shown in fig. 1, a method for topology auto-discovery and fault definition based on an NFV network includes the following steps:
s1: collecting IT data and communication data between VNFs in an NFV network and communication data between VMs;
in a specific embodiment, step S1 may include the following steps:
s101: deploying an acquisition probe and an acquisition control module in each host in the NFV network;
s102: the acquisition control module issues an acquisition instruction and starts data acquisition, wherein the data comprises: IT data, communication data between VNFs, communication data between VMs.
The acquisition probe can be an Agent, and transmits an acquisition instruction through the control module to acquire IT data and communication data between VNFs and communication data between VMs. As shown in fig. 2, the page shows data collection information. Fig. 3 shows a schematic diagram of the present invention.
S2: analyzing and processing the acquired IT data, the communication data between VNFs and the communication data between VMs to obtain result data;
in a specific embodiment, step S2 may include the following steps:
s201: and sending the collected IT data and the communication data between VNFs and the communication data between VMs to a coding and decoding and DPI system for data analysis to obtain result data.
Fig. 4 is a schematic diagram of data association.
S3: performing data association on the result data to construct an NFV three-layer topology;
in a specific embodiment, step S3 may include the following steps:
associating the IT domain of the collected data with a signaling domain, the data association comprising the steps of: selecting an association key, acquiring the association key, identifying the VNF type and synchronizing the association time;
selecting an associated key: selecting communication data between IT data and VNF, and taking VM _ ID, HOST _ ID, PORT _ ID, MAC, VLAN _ ID and IP in the communication data between VMs as associated keys;
the information related to the VM and the HOST is acquired in the IT domain through an openstack system, the association between the VM and the HOST can be realized, and the association is realized with the VNF of the signaling domain through the MAC and the VLAN _ ID, so that a three-layer topology of VNF-VM-HOST is formed.
Acquiring an association key: extracting the associated key from the result data of step S2;
identifying a VNF category: using 3GPP standard flow information to identify VNF types in the associated data and simultaneously constructing a service topology;
the 3GPP specification flow information specifies the role of each VNF and the signaling for triggering the processing, and the VNF is identified by the signaling sent by the VNF. For example, in an LTE network, the only network element capable of handling Attach is the MME, which can identify that the VNF is an MME network element. By such a method, besides the identification of the relevant VNF classes, a traffic topology can be formed.
Synchronization association time: and carrying out time synchronization on different NFV networks by adopting the same time standard, and ensuring synchronous updating of the associated keys.
IT should be noted that the data to be associated is derived from a source domain, that is, an IT domain and a signaling domain, the two domains are relatively independent, the data of the two domains are associated and need time synchronization, the specific value of the associated Key changes along with the change of time, the same time standard is adopted for time synchronization for different NFV networks, the data of the two domains are collected and processed simultaneously, and the associated Key can be updated in real time, so that time synchronization is realized.
It should be noted that, when the association time is synchronized, if the NFV network is in an asynchronous processing mode, the processing delay is limited by a time window.
S4: and monitoring faults according to the indexes, judging the index abnormality and the network element nodes where the faults are located, identifying the core problem of the NFV three-layer topology fault, and associating fault points on the NFV three-layer topology.
Further, step S4 further includes evaluating the influence of the fault on the service, specifically: and triggering the fault, associating the related service indexes of the topology where the fault is located, evaluating the influence of the fault on the service, solving the fault and evaluating the effect.
The invention directly relates the fault point to the NFV three-layer topology, saves the work of topology positioning, and simultaneously, the scheme also carries out correlation analysis on the fault of the NFV three-layer topology, positions the most main fault (namely the core problem of the three-layer topology fault), simplifies the processes of fault analysis and delimitation, and realizes the automatic problem delimitation.
It should be understood that the above-described embodiments of the present invention are merely examples for clearly illustrating the present invention, and are not intended to limit the embodiments of the present invention. Other variations and modifications will be apparent to persons skilled in the art in light of the above description. And are neither required nor exhaustive of all embodiments. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the claims of the present invention.
Claims (6)
1. A topology automatic discovery and fault delimitation method based on an NFV network is characterized by comprising the following steps:
s1: collecting IT data and communication data between VNFs in an NFV network and communication data between VMs;
s2: analyzing and processing the acquired IT data, the communication data between VNFs and the communication data between VMs to obtain result data;
s3: performing data association on the result data to construct an NFV three-layer topology;
s4: monitoring faults according to set indexes, judging network element nodes where the indexes are abnormal and the faults are located, identifying core problems of the NFV three-layer topology faults, and associating fault points on the NFV three-layer topology.
2. The method according to claim 1, wherein step S1 is performed to collect IT data in the NFV network and communication data between VNFs, and the specific process of the communication data between VMs is as follows:
s101: deploying an acquisition probe and an acquisition control module in each host in the NFV network;
s102: the acquisition control module issues an acquisition instruction and starts data acquisition, wherein the data comprises: IT data, communication data between VNFs, communication data between VMs.
3. The method according to claim 1, wherein the specific process of step S2 is as follows:
s201: and sending the collected IT data and the communication data between VNFs and the communication data between VMs to a coding and decoding and DPI system for data analysis to obtain result data.
4. The method according to claim 1, wherein the data association in step S3 is to associate an IT domain of the collected data with a signaling domain, and the data association includes the steps of: selecting an association key, acquiring the association key, identifying the VNF type and synchronizing the association time;
selecting an associated key: selecting communication data between IT data and VNF, and taking VM _ ID, HOST _ ID, PORT _ ID, MAC, VLAN _ ID and IP in the communication data between VMs as associated keys;
acquiring an association key: extracting the associated key from the result data of step S2;
identifying a VNF category: using 3GPP standard flow information to identify VNF types in the associated data and simultaneously constructing a service topology;
synchronization association time: and carrying out time synchronization on different NFV networks by adopting the same time standard, and ensuring synchronous updating of the associated keys.
5. The method according to claim 4, wherein in the case of synchronous association time, if the NFV network is in an asynchronous processing mode, the processing delay is limited by a time window.
6. The method of claim 1, wherein the NFV triple-layer topology is a VNF-VM-HOST triple-layer topology.
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