CN112532431B - Topology decoupling method and system for reducing transmission service route analysis amount - Google Patents
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Abstract
The invention discloses a topology decoupling method and a system for reducing transmission service route analysis amount, which relate to the field of software management technology and software management system, wherein the method comprises the steps of sending network element data, machine disk data, port data and topology data to a DC (direct current) for data cleaning; classifying network element data, machine disk data and port data; based on a multi-thread parallel computing mode, carrying out topology analysis on the topology network according to the classification result; and combining the service route with the topology analysis result, and analyzing to obtain the service route risk based on a multi-thread parallel computing mode. The invention can effectively reduce the time consumption of searching the service routing risk.
Description
Technical Field
The invention relates to the field of software management technology and software management systems, in particular to a topology decoupling method and a topology decoupling system for reducing transmission service route analysis amount.
Background
The communication technology goes through 1G (analog communication), 2G (GSM/CDMA1X), 3G (WCDMA/TD-SCDMA/CDMA2000), 4G (TDD/FDD-LTE) and 5G (SA/NSA), the corresponding transmission technology also evolves from PDH (Plesiochronous Digital Hierarchy, quasi-Synchronous Digital series) to SDH (Synchronous Digital Hierarchy)/MSTP (Multi-Service Transport Platform), PTN (Packet Transport Network )/ipn (radio access Network IP, radio access Network IP), SPN (encapsulating Packet Network, slice Packet Network)/STN (Smart Transport Network), the wireless base station building density is higher and higher, and the single transmission Service rate also evolves from the original 2M to the present Gigabit (GE)/GE. The average value of the number of single station transmission services in the 4G period is increased from 1 to 5-8 or more, one four-line urban operator transmission network element is 4000-5000, and the number of the transmission services can reach about 40000. In the period of 5G, the construction density of the transmission network element is 2-3 times of that of the transmission network element in the period of 4G, the transmission network element reaches about 13000, and the number of transmission services reaches about 130000.
Under the condition of large-scale transmission network elements and transmission service route quantity, not only the risk and rule analysis existing in the service route by manpower becomes unrealistic, but also the analysis by an exhaustion method by means of a common software algorithm becomes unrealistic. For example, if there are 4000 network elements to be operatedIn the 4G network, 2 network elements having the greatest impact on the whole network service are found (the interruption traffic caused by the simultaneous interruption of 2 network elements is the largest), so C is required to be performed approximately2 4000799.8 ten thousand times of comparison calculation of network element level services (one network element has multiple services and needs to be compared one by one), if 3 network elements with the largest risk are found, the calculation scale is increased to C3 4000And calculating the service comparison calculation at the network element level by 106.6 hundred million times. In a 5G network, these two quantities of computation will increase sharply to C1 2 30000.85 million times and C1 3 30003661 billion times, such a large amount of calculation requires a server or a PC (Personal Computer) to perform calculation in units of days or months, which is very time-consuming.
Disclosure of Invention
Aiming at the defects in the prior art, the invention aims to provide a topology decoupling method and a topology decoupling system for reducing the analysis quantity of a transmission service route.
In order to achieve the above object, the present invention provides a topology decoupling method for reducing transmission service route analysis amount, comprising the following steps:
sending the network element data, the machine disk data, the port data and the topology data to a DC for data cleaning;
classifying network element data, machine disk data and port data;
based on a multi-thread parallel computing mode, carrying out topology analysis on the topology network according to the classification result;
and combining the service route with the topology analysis result, and analyzing to obtain the service route risk based on a multi-thread parallel computing mode.
On the basis of the technical scheme, the network element data, the disk data, the port data and the topology data are sent to the DC for data cleaning, and the data cleaning specifically comprises the following steps:
network element data, machine disk data, port data and topology data are sent to a DC through a Mysql database interface and a Protobuf network management interface;
the DC performs data washing on the data, and the washed data is cached.
On the basis of the above technical solution, the classifying network element data, disk data, and port data, where the classifying network element data specifically includes: and classifying the network element data according to the equipment type, the service type and the network hierarchy.
On the basis of the above technical solution, the network element data, the disk data, and the port data are classified, where the classifying of the disk data specifically includes: and classifying the disk data according to the disk type.
On the basis of the above technical solution, the network element data, the disk data, and the port data are classified, where the classifying of the port data specifically includes: port data is classified according to port rate.
On the basis of the technical scheme, the topological analysis is performed on the topological network according to the classification result based on the multi-thread parallel computing mode, wherein each thread performs the topological analysis on the topological network according to the classification result.
On the basis of the technical scheme, each thread performs topology analysis on the topology network according to the classification result, wherein the specific steps of performing topology analysis on the topology network by each thread according to the classification result are as follows:
analyzing the hierarchical structure of the topological network based on the classification result of the network element data, and dividing the topological network into a core structure, a convergence structure and an access structure;
acquiring a valve network element of each topological unit connected with an upper layer network and a lower layer network;
and acquiring coupling network elements connected among the topological units, and decoupling the coupling among the topological units.
On the basis of the technical scheme, the service routing is combined with the topology analysis result, and the service routing risk is obtained through analysis based on a multi-thread parallel computing mode, wherein each thread combines the service routing with the topology analysis result to analyze the service routing risk.
The invention provides a topology decoupling system for reducing transmission service route analysis amount, which comprises:
the data reading module is used for sending the network element data, the machine disk data, the port data and the topology data to the DC for data cleaning;
the network analysis module is used for classifying the network element data, the machine disk data and the port data and then carrying out topology analysis on the topological network according to a classification result based on a multi-thread parallel computing mode;
and the route analysis module is used for combining the service route with the topology analysis result and analyzing to obtain the service route risk based on a multi-thread parallel computing mode.
On the basis of the technical scheme, the data reading module sends the network element data, the disk data, the port data and the topology data to the DC for data cleaning, and the data cleaning specifically comprises the following steps: and the data reading module sends the network element data, the machine disk data, the port data and the topology data to the DC through a Mysql database interface and a Protobuf network management interface and cleans the network element data, the machine disk data, the port data and the topology data.
Compared with the prior art, the invention has the advantages that: the data are classified, topology analysis is carried out on the topology network according to the classification result based on the multithreading parallel computing mode, then the service routing is combined with the topology analysis result, the service routing risk is obtained through analysis, and the time consumption for searching the service routing risk is effectively reduced by adopting the multithreading parallel processing mode.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a topology decoupling method for reducing a transmission service route analysis amount according to an embodiment of the present invention;
FIG. 2 is a flow chart of data read in according to an embodiment of the present invention;
FIG. 3 is a flow chart of network analysis in an embodiment of the present invention;
FIG. 4 is a flow chart of route analysis in an embodiment of the present invention;
FIG. 5 is a schematic diagram of decoupling an original topology graph in an embodiment of the present invention;
fig. 6 is a diagram illustrating an access ring analysis result according to an embodiment of the present invention;
FIG. 7 is a diagram illustrating a convergence ring analysis result according to an embodiment of the present invention.
Detailed Description
The embodiment of the invention provides a topology decoupling method for reducing the analysis amount of transmission service routing, which classifies data, performs topology analysis on a topology network according to classification results based on a multi-thread parallel computing mode, then combines service routing with the topology analysis results to obtain service routing risks through analysis, and effectively reduces the time consumption for searching the service routing risks by adopting a multi-thread parallel processing mode. The embodiment of the invention correspondingly provides a topological decoupling system for reducing the route analysis amount of the transmission service.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.
Referring to fig. 1, a topology decoupling method for reducing a transmission service route analysis amount provided in an embodiment of the present invention specifically includes the following steps:
s1: and sending the network element data, the machine disk data, the port data and the topology data to a DC for data cleaning.
In the embodiment of the present invention, network element Data, disk Data, port Data, and topology Data are sent to a DC (Data cleansing), and Data cleansing is performed, specifically: sending the network element data, the machine disk data, the port data and the topology data to a DC through a Mysql (relational database management system) database interface and a Protobuf network management interface; the DC performs data washing on the data, and the washed data is cached. Protobuf, entitled Google Protocol Buffer, is a cross-language interprocess communication framework open to Google.
Referring to fig. 2, a gateway interface reads network element data, disk data, port data, and topology data into a DC, the DC cleans the data, discards redundant data, leaves valid data, and stores the cleaned data in a DC Cache (data cleaning Cache) for subsequent data analysis. In fig. 2, the NE is called Network Element Data, and represents Network Element Data; the full name of the Board is Board Data which represents the Data of the disk player; port, referred to collectively as Port Data, represents Port Data; topology is called Topology Data in its entirety and represents topological Data.
S2: classifying network element data, machine disk data and port data;
in the embodiment of the present invention, the network element data, the disk data, and the port data are classified, where the classifying the network element data specifically includes: classifying the network element data according to the equipment type, the service type and the network hierarchy; classifying the network element data, the machine disk data and the port data, wherein the classification of the machine disk data specifically comprises the following steps: classifying the disk data according to the disk type; classifying the network element data, the disk data and the port data, wherein the classifying of the port data specifically comprises: port data is classified according to port rate.
S3: and carrying out topology analysis on the topology network according to the classification result based on a multithreading parallel computing mode.
In the embodiment of the invention, based on a multithreading parallel computing mode, the topology analysis is carried out on the topology network according to the classification result, wherein each thread carries out the topology analysis on the topology network according to the classification result. And each thread performs topology analysis on the topology network according to the classification result, wherein the specific steps of performing topology analysis on the topology network by each thread according to the classification result are as follows:
s301: analyzing the hierarchical structure of the topological network based on the classification result of the network element data, and dividing the topological network into a core structure, a convergence structure (from two layers to three layers) and an access three-layer structure;
s302: acquiring valve network elements (one or two) of each topological unit (ring or chain) connected with an upper layer network and a lower layer network;
s303: and acquiring coupling network elements connected among the topological units, and decoupling the coupling among the topological units.
Referring to fig. 3, an NE Analyzer (Network Element Data Analyzer) analyzes Network Element Data in a Data cleaning cache, and comprehensively classifies the Network Element Data according to a device type, a service type, and a Network hierarchy, and then a BP Analyzer (Board & Port Data Analyzer, a disk and a Port Data Analyzer) comprehensively classifies the disk and Port Data of the Data cleaning cache according to a disk type and a Port rate, and then enters a thread pool to enable multithreading to perform parallel computation, perform topology analysis, and improve computation efficiency by adopting a multithreading parallel computation method.
Each thread performs topology analysis on the topology network according to the classification result, and the method specifically comprises the following steps: TD Analyzer (Topology Decoupled Analyzer) automatically analyzes the hierarchical structure of the entire Topology Network by using the Network Element Data analysis result, and divides the entire Network into three layers of core, aggregation and access, VNE Analyzer (Valve Network Element Data Analyzer) finds out each Topology unit (Valve Network Element connected to the upper/lower layer networks and records (because the service interruption of the entire Topology unit is caused if the Valve Network Element is interrupted), and finally CNE Analyzer (Coupling Network Element Data Analyzer) finds out the Coupling Network elements connected between the Topology units, and decouples the Coupling between the Topology units in fig. 3, Thread is represented by Thread.
S4: and combining the service route with the topology analysis result, and analyzing to obtain the service route risk based on a multi-thread parallel computing mode.
In the embodiment of the invention, the service route is combined with the topology analysis result, and the service route risk is obtained by analysis based on a multi-thread parallel computing mode, wherein each thread combines the service route with the topology analysis result to analyze the service route risk.
Referring to fig. 4, the thread protection buffer stores the topology analysis result, and then the thread protection buffer enters the thread pool to enable multithreading to perform parallel computation, and each thread analyzes the risk value of the service route in the service route analyzer according to the service route and the topology analysis result in the thread protection buffer, so as to find out weak links existing in the networking. And finally caching the analyzed service route risk through a service route analysis cache.
The following describes the topology decoupling in the embodiment of the present invention with reference to specific examples.
Referring to FIGS. 5, 6 and 7, the original topology is decoupled into AC-Ring1, AC-Ring2, AC-Ring3, A-Ring1, A-Ring2 rings by TD Analyzer; then further finding out AC-Ring1(AA1/AZ1), AC-Ring2(AA2/AZ2), AC-Ring2(AA2/AZ2), A-Ring2 (A2/A2) rings in AC-Ring1, AC-Ring2, AC-Ring3, A-Ring1, A-Ring2 rings by VNE Analyzer, further finding out AC-Ring2(AC2) and AC-Ring2(AC2) in AC-Ring2, A-Ring2 rings by VNE Analyzer.
The following provides a detailed description of the advantageous effects of reducing the time consumption of the embodiments of the present invention with reference to specific examples.
In this example, the calculation amount of the incremental analysis service route of the designated part of the network elements is hereinafter referred to as single calculation amount (NC)S) The calculation amount of the total network element analysis service route is hereinafter referred to as total network element calculation amount (NC)A)。
Single calculation amount NC without topology decouplingSWhere N denotes the number of network elements of the whole network, M denotes the number of combined network elements, and the total network element is calculated
In general, an access ring of a transmission network defines that one ring does not exceed 6-10 network elements, the number of the network elements of a single ring of a convergence ring is close to the standard of the access ring, and if the average value is calculated according to 8 network elements of one ring:
1. after passing through TD Analyzer:
NCS(R-1), wherein R represents a ring mean network element number, and R-1 represents removal of the ring network elements themselves;
if 4000 network elements are provided, when M is 3,
if 13000 network elements exist, when M is 3,
2. after passing through the VNE Analyzer:
NCS＝M*Avnewherein A isvneThe number of valve network elements representing one ring is 2;
NCA＝(N/R)*(M*Avne) Wherein, N/R represents the number of full network rings, M may be different network elements in one ring, or may be different network elements in different rings;
if 4000 network elements exist, when M is 3, NCS＝3*2＝6，NCA(4000/8) × (3 × 2) ═ 3000, the computational efficiency increased 355 ten thousand times;
if 13000 network elements exist, when M is 3, NCS is 3, 2 is 6; NCA (13000/8) × (3 × 2) ═ 9750, the computational efficiency increased by 3755 ten thousand times;
3. the CNE Analyzer calculation further ensures decoupling between rings at the same level only after VNE Analyzer calculation.
According to the topology decoupling method for reducing the analysis amount of the transmission service route, the data are classified, the topology analysis is carried out on the topology network according to the classification result based on the multi-thread parallel computing mode, then the service route is combined with the topology analysis result to obtain the service route risk through analysis, and the time consumption for searching the service route risk is effectively reduced by adopting the multi-thread parallel processing mode.
The topology decoupling system for reducing the transmission service route analysis amount provided by the embodiment of the invention comprises a data reading module, a network analysis module and a route analysis module.
The data reading module is used for sending the network element data, the machine disk data, the port data and the topology data to the DC for data cleaning; the network analysis module is used for classifying the network element data, the machine disk data and the port data and then carrying out topology analysis on the topological network according to the classification result based on a multithreading parallel computing mode; and the route analysis module is used for combining the service route with the topology analysis result and analyzing to obtain the service route risk based on a multi-thread parallel computing mode.
In the embodiment of the present invention, the data reading module sends the network element data, the disk data, the port data, and the topology data to the DC for data cleaning, specifically: and the data reading module sends the network element data, the machine disk data, the port data and the topology data to the DC through a Mysql database interface and a Protobuf network management interface and cleans the network element data, the machine disk data, the port data and the topology data.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Claims (8)
1. A topology decoupling method for reducing transmission service route analysis amount is characterized by comprising the following steps:
sending the network element data, the machine disk data, the port data and the topology data to a DC for data cleaning;
classifying network element data, machine disk data and port data;
based on a multi-thread parallel computing mode, carrying out topology analysis on the topology network according to the classification result;
combining the service route with the topology analysis result, and analyzing to obtain the service route risk based on a multi-thread parallel computing mode;
the topological analysis is carried out on the topological network according to the classification result based on the multithread parallel computing mode, wherein each thread carries out the topological analysis on the topological network according to the classification result;
and each thread performs topology analysis on the topology network according to the classification result, wherein the specific steps of performing topology analysis on the topology network by each thread according to the classification result are as follows:
analyzing the hierarchical structure of the topological network based on the classification result of the network element data, and dividing the topological network into a core structure, a convergence structure and an access structure;
acquiring a valve network element of each topological unit connected with an upper layer network and a lower layer network;
and acquiring coupling network elements connected among the topological units, and decoupling the coupling among the topological units.
2. The topology decoupling method for reducing the routing analysis volume of the transmission service according to claim 1, wherein the network element data, the disk data, the port data, and the topology data are sent to a DC for data cleaning, specifically:
network element data, machine disk data, port data and topology data are sent to a DC through a Mysql database interface and a Protobuf network management interface;
the DC performs data washing on the data, and the washed data is cached.
3. The topology decoupling method for reducing transmission service route analysis amount according to claim 1, wherein the network element data, the disk data and the port data are classified, wherein the classifying the network element data specifically includes: and classifying the network element data according to the equipment type, the service type and the network hierarchy.
4. The topology decoupling method for reducing transmission service route analysis amount according to claim 1, wherein the network element data, the machine disk data and the port data are classified, wherein the classifying of the machine disk data specifically includes: and classifying the disk data according to the disk type.
5. The topology decoupling method for reducing transmission service route analysis amount according to claim 1, wherein the network element data, the disk data, and the port data are classified, wherein the classifying the port data specifically includes: port data is classified according to port rate.
6. The topology decoupling method for reducing transmission traffic routing analysis volume according to claim 1, wherein the traffic routing is combined with the topology analysis result, and the traffic routing risk is obtained by analysis based on a multi-thread parallel computing manner, wherein each thread combines the traffic routing with the topology analysis result to analyze the traffic routing risk.
7. A topology decoupling system for reducing transmission traffic routing analysis comprising:
the data reading module is used for sending the network element data, the machine disk data, the port data and the topology data to the DC for data cleaning;
the network analysis module is used for classifying the network element data, the machine disk data and the port data and then carrying out topology analysis on the topological network according to a classification result based on a multi-thread parallel computing mode;
the route analysis module is used for combining the service route with the topology analysis result and analyzing to obtain the service route risk based on a multi-thread parallel computing mode;
the topological analysis is carried out on the topological network according to the classification result based on the multithread parallel computing mode, wherein each thread carries out the topological analysis on the topological network according to the classification result;
and each thread performs topology analysis on the topology network according to the classification result, wherein the specific steps of performing topology analysis on the topology network by each thread according to the classification result are as follows:
analyzing the hierarchical structure of the topological network based on the classification result of the network element data, and dividing the topological network into a core structure, a convergence structure and an access structure;
acquiring a valve network element of each topological unit connected with an upper layer network and a lower layer network;
and acquiring coupling network elements connected among the topological units, and decoupling the coupling among the topological units.
8. The topology decoupling system for reducing the routing analysis amount of the transmission service according to claim 7, wherein the data reading module sends the network element data, the disk data, the port data, and the topology data to the DC for data cleaning, specifically: and the data reading module sends the network element data, the machine disk data, the port data and the topology data to the DC through a Mysql database interface and a Protobuf network management interface and cleans the network element data, the machine disk data, the port data and the topology data.
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