CN114650232A - Network quality analysis method and device based on QOS queue flow - Google Patents
Network quality analysis method and device based on QOS queue flow Download PDFInfo
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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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- 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
- H04L41/02—Standardisation; Integration
- H04L41/0213—Standardised network management protocols, e.g. simple network management protocol [SNMP]
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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
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- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0677—Localisation of faults
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- H04L41/14—Network analysis or design
- H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
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- 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
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- 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
- H04L43/0805—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability
- H04L43/0817—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters by checking availability by checking functioning
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- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
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- H04L43/16—Threshold monitoring
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Abstract
The invention discloses a network quality analysis method and a device based on QOS queue flow, wherein the method comprises the following steps: the QOS queue and the QOS flow of a metropolitan area network equipment port are acquired through a universal SSH protocol, and the acquired data is put in storage and used as a parameter for auxiliary fault judgment; establishing an end-to-end network topology relationship through the equipment port description of the metropolitan area network; the correlation between the service quality and the hop-by-hop equipment, ports and QOS queue states of the bearer network is realized through a QOS quality model, and when the defined threshold value is exceeded, the service node is positioned to have a fault; and simultaneously, monitoring the service quality index of the port, generating an abnormal performance event and giving an early warning or exceeding the standard. The method and the device realize a service level quality monitoring system by establishing a port QOS queue and acquiring QOS flow; and establishing an early warning model of the service quality according to the queue priority by introducing a QOS queue level concept.
Description
Technical Field
The invention relates to the field of quality management of network equipment, in particular to a QOS queue flow-based network quality analysis method and device.
Background
With the development of broadband services, voice and video services are carried through an IP network, a multi-service fusion carrying trend is caused, the network carrying efficiency is improved, the home customer experience is improved, and higher carrying requirements are bound to be brought to the network.
In order to match with diversification and high-speed development of services, ensure the quality of service borne by a network and improve the perception of customer experience, an IP metropolitan area network is constructed to be a full-service support, so that different customer requirements are met, and the high-quality network has good stability and expansibility and can analyze the whole service. Based on the purpose, a QOS guarantee strategy is introduced, and important grade and high-quality service are guaranteed preferentially.
The quality management method of the existing network equipment adopts a traditional judgment mode combining the performance of the network equipment, the port flow and the task state, and the method has the main defects that:
1. the traditional network equipment performance acquisition scheme only monitors the quality of network nodes and cannot effectively establish service quality monitoring facing to services.
2. The traffic and the flow direction of the service are not considered, and the influence of the index degradation on the network logic level on the service is not analyzed in a targeted manner.
Disclosure of Invention
In order to solve the problems of the quality management method of the existing network equipment, the invention provides a network quality analysis method and a device based on QOS queue flow, which adopt SNMP and telnet protocols to establish an end-to-end QOS quality monitoring system, clearly master the service level of a client and the service quality of the whole network service, focus on service perception of the client service, the service network resource condition of the client and the corresponding data quality condition, and guarantee the service quality of the user.
In order to realize the purpose, the invention adopts the following technical scheme:
in an embodiment of the present invention, a method for analyzing network quality based on QOS queue traffic is provided, where the method includes:
the QOS queue and the QOS flow of a metropolitan area network equipment port are acquired through a universal SSH protocol, and the acquired data is put in storage and used as a parameter for auxiliary fault judgment;
establishing an end-to-end network topology relationship through the equipment port description of the metropolitan area network;
the correlation between the service quality and the hop-by-hop equipment, ports and QOS queue states of the bearer network is realized through a QOS quality model, and when the defined threshold value is exceeded, the service node is positioned to have a fault; and simultaneously, monitoring the service quality index of the port, generating an abnormal performance event and giving an early warning or exceeding the standard.
Further, establishing an end-to-end network topology relationship through the device port description of the metropolitan area network, including:
and establishing a B-plane IPRAN service network topology through the port description of the equipment in the IP integrated network management, and finally realizing the network topology relation of the IPRAN service CR-SR-IPRAN B equipment-IPRAN A equipment.
Further, the correlation between the service quality and the hop-by-hop equipment, ports and QOS queue states of the bearer network is realized through a QOS quality model, and when the defined threshold value is exceeded, the service node is positioned to have a fault; meanwhile, monitoring the service quality index of the port, generating an abnormal performance event and providing an early warning or exceeding standard, wherein the method comprises the following steps:
the system establishes a QOS quality model according to the queue priority, and realizes monitoring and early warning on the end-to-end quality of the IPRAN network according to the port;
the equipment is positioned step by step according to the service network topology, the mapping relation between the heavy service-B equipment-SR and CR is established, the fault area and the network element are found out, and the poor quality area and the network element list are output;
the system establishes the mapping relation between the port and the QOS queue index, and provides QOS degradation alarm for fault point positioning according to the mapping relation between the equipment and the port.
In an embodiment of the present invention, a QOS queue traffic-based network quality analysis apparatus is further provided, where the apparatus includes:
the equipment QOS index acquisition module is used for acquiring a QOS queue and a QOS flow of a metropolitan area network equipment port through a universal SSH protocol, and storing the acquired data as a parameter for auxiliary fault judgment;
an end-to-end link establishment module, configured to establish an end-to-end network topology relationship through a device port description of a metropolitan area network;
the QOS quality monitoring and early warning module is used for realizing the association between the service quality and the hop-by-hop equipment, ports and QOS queue states of the bearer network through a QOS quality model, and when the service quality exceeds a defined threshold value, the service node is positioned to have a fault; and simultaneously, monitoring the service quality index of the port, generating an abnormal performance event and giving an early warning or exceeding the standard.
Further, the end-to-end link establishing module is specifically configured to:
and establishing a B-plane IPRAN service network topology through the port description of equipment in the IP comprehensive network management, and finally realizing the network topology relation of the IPRAN service CR-SR-IPRAN B equipment-IPRAN A equipment.
Further, the QOS quality monitoring and early warning module is specifically used for:
the system establishes a QOS quality model according to the queue priority, and realizes monitoring and early warning on the end-to-end quality of the IPRAN network according to the port;
the method comprises the steps of positioning equipment step by step according to service network topology, establishing a mapping relation between heavy service equipment B, namely SR and CR, finding out a fault area and a network element, and outputting a quality difference area and a network element list;
the system establishes the mapping relation between the port and the QOS queue index, and provides QOS degradation alarm for fault point positioning according to the mapping relation between the equipment and the port.
In an embodiment of the present invention, a computer device is further provided, which includes a memory, a processor, and a computer program stored in the memory and executable on the processor, and when the processor executes the computer program, the method for analyzing network quality based on QOS queue traffic is implemented.
In an embodiment of the present invention, a computer-readable storage medium is further provided, in which a computer program for executing the QOS queue traffic-based network quality analysis method is stored.
Has the advantages that:
1. the invention realizes a service level quality monitoring system by establishing a port QOS queue and acquiring the QOS flow.
2. The invention establishes the early warning model of the service quality according to the queue priority by introducing the concept of QOS queue level.
Drawings
Fig. 1 is a flow chart of a QOS queue traffic based network quality analysis method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a QOS queue traffic-based network quality analysis device according to an embodiment of the present invention;
fig. 3 is a schematic structural diagram of a computer device according to an embodiment of the present invention.
Detailed Description
The principles and spirit of the present invention will be described below with reference to several exemplary embodiments, it being understood that these embodiments are presented only to enable those skilled in the art to better understand and implement the present invention, and are not intended to limit the scope of the present invention in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
As will be appreciated by one skilled in the art, embodiments of the present invention may be embodied as a system, apparatus, device, method, or computer program product. Accordingly, the present disclosure may be embodied in the form of: entirely hardware, entirely software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.
According to the embodiment of the invention, a QOS queue flow-based network quality analysis method and a QOS queue flow-based network quality analysis device are provided, an end-to-end QOS quality monitoring system is established by adopting SNMP and telnet protocols, the service level and the whole network service quality of a client are clearly mastered, the service perception of key client services, the service network resource condition of the client and the corresponding data quality condition are mastered, and the service quality of the user is guaranteed.
The principles and spirit of the present invention are explained in detail below with reference to several representative embodiments of the invention.
Fig. 1 is a flow chart of a QOS queue traffic-based network quality analysis method according to an embodiment of the present invention. The technical scheme of the invention relates to three steps of equipment QOS index acquisition, end-to-end link establishment, QOS quality monitoring and early warning. As shown in fig. 1, the specific contents are as follows:
s1, equipment QOS index acquisition: the QOS queue and QOS flow of a metropolitan area network equipment port are acquired through a universal SSH protocol, and the acquired data are put in storage and serve as parameters for auxiliary fault judgment;
s2, establishing an end-to-end link: establishing an end-to-end network topology relationship through the equipment port description of the metropolitan area network;
s3, QOS quality monitoring and early warning: the correlation between the service quality and the hop-by-hop equipment, ports and QOS queue states of the bearer network is realized through a QOS quality model, and when the defined threshold value is exceeded, the service node is positioned to have a fault; and simultaneously, monitoring the service quality index of the port, generating an abnormal performance event and giving an early warning or exceeding the standard.
It should be noted that although the operations of the method of the present invention have been described in the above embodiments and the accompanying drawings in a particular order, this does not require or imply that these operations must be performed in this particular order or that all of the illustrated operations must be performed to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions.
For a clearer explanation of the above method for analyzing network quality based on QOS queue traffic, a specific embodiment is described below, but it should be noted that the embodiment is only for better explaining the present invention and is not to be construed as an undue limitation to the present invention.
The technical scheme of the invention is applied to a metropolitan area network management project of an operator in 2020, and an end-to-end network topology and quality analysis model is established by realizing the connection between an IPRAN network A, B, SR and CR equipment QOS and the acquisition of related equipment, so that the quality analysis function of the IPRAN end-to-end QOS network is realized.
Firstly, a QOS data acquisition instruction of equipment
1. The QOS acquisition range is as follows in the following table 1:
TABLE 1
2. CR QOS queue collection
Cisco CR equipment QOS queue acquisition:
and analyzing the configuration file of CRS equipment in Cisco every day, and collecting a QOS port queue applied by a CR equipment port.
(1) Extracting the strategy of the port and extracting a keyword IPRAN _ Output
interface x/x/x/x service-policy output IPRAN_Output
(2) And finding a corresponding configuration global scheduling strategy through IPRAN _ Output. The keyword IPRAN _ Critical is extracted.
policy-map IPRAN_Output
class IPRAN_Critical
police rate percent 89
(3) The global QoS level is looked up by the key IPRAN _ Critical.
class-map match-any IPRAN_Critical
match mpls experimental topmost 46
match precedence 46
end-class-map
Hua is NE5000E equipment QOS queue collection:
(1) port queue scheduling strategy
interface GigabitEthernet x/x/x/x
trust upstream IPRAN// inbound trust
qos queue be priority 1cir cir-percentage 10outbound
qos queue ef cir 0pir pir-percentage 90outbound
qos queue cs6 priority 1cir cir-percentage 0outbound
qos queue cs7 priority 1cir cir-percentage 0outbound
qos queue af3 cir cir-percentage 0outbound
qos queue af4 cir cir-percentage 0outbound
qos queue af2 cir cir-percentage 20outbound
qos queue af1 cir cir-percentage 70outbound
qos phb disable
If cir-percent 0 outbend, it indicates that the queue is not applied by the port. The QOS level of the interface is be, ef, af2, af 1.
(2) And finding out the corresponding diffserv domain through the key word trust upstream IPRAN.
diffserv domain IPRAN
mpls-exp-inbound 0phb be green
mpls-exp-inbound 1phb be green
mpls-exp-inbound 2phb af2 green
mpls-exp-inbound 3phb af2 green
mpls-exp-inbound 4phb ef green
mpls-exp-inbound 5phb af1 green
mpls-exp-inbound 6phb ef green
mpls-exp-inbound 7phb af1 green
Mapping corresponding queue codes:
0 be
1 be
2 af2
3 af2
4 ef
5 af1
6 ef
7 af1
3. SR QOS configuration
Acquisition for SR QOS queue:
(1) collecting SR uplink CR interface queue scheduling
interface GigabitEthernet x/x/x
trust upstream IPRAN// inbound trust
port-queue be wfq weight 10outbound
port-queue af1 wfq weight 70outbound
port-queue af2 wfq weight 20outbound
port-queue ef pq shaping shaping-percentage 90outbound qos phb disable
(2) Collecting SR lower B equipment interface queue scheduling
interface GigabitEthernet x/x/x
trust upstream IPRAN// inbound trust
port-queue be wfq weight 10outbound
port-queue af1 wfq weight 70outbound
port-queue af2 wfq weight 20outbound
port-queue ef pq shaping shaping-percentage 90outbound qos phb disable
(3) And finding out the corresponding diffserv domain through the key word trust upstream IPRAN.
diffserv domain IPRAN
mpls-exp-inbound 0phb be green
mpls-exp-inbound 1phb be green
mpls-exp-inbound 2phb af2 green
mpls-exp-inbound 3phb af2 green
mpls-exp-inbound 4phb ef green
mpls-exp-inbound 5phb af1 green
mpls-exp-inbound 6phb ef green
mpls-exp-inbound 7phb af1 green
Mapping corresponding queue codes:
0 be
1 be
2 af2
3 af2
4 ef
5 af1
6 ef
7 af1
and (3) configuration and acquisition of a Nokia SR QOS queue:
4. IPRAN B device QOS configuration collection
Zhongxing B equipment configuration:
(1) uplink SR interface queue application
service-policy xgei-x/x/x/x output 10G overwrite
(2) Finding corresponding QOS global configuration
policy-map 10G// uplink SR interface scheduling strategy
class af4_cs6
police cir 9000000cbs 150000pir 9000000pbs 1125000
priority-level 2
service-policy af4_cs6
(3) Scheduling application to the lower contact A interface (GE)
qos diffserv-domain interface gei-x/x/x/x apply IPRAN service-policy gei-x/x/x/x output GE overwrite
(4) Finding corresponding QOS global configuration
policy-map GE// downstream A interface (GE) scheduling strategy
class af4_cs6
police cir 900000cbs 15000pir 900000pbs 112500
priority-level 2
service-policy af4_cs6
Hua is collected by B equipment:
(1) queue scheduling for configuring uplink SR interface of B equipment
interface GigabitEthernet x/x/x
trust upstream IPRAN// inbound trust
port-queue be wfq weight 10outbound
port-queue af1 wfq weight 70outbound
port-queue af2 wfq weight 20outbound
port-queue ef pq shaping shaping-percentage 90outbound
The QoS phb disable B device is set with the QoS phb disable in a downlink way without changing the original QoS mark of the message
(2) Interface queue scheduling for configuring B device and lower connection A device
interface gigabit Ethernet x/x/x.xx trust upstream IPRAN// inbound trust-subinterface (which shall include RAN, network management and dynamic ring monitoring)
interface gigabit Ethernet x/x/x// outbound queue-mother interface
port-queue be wfq weight 10outbound
port-queue af1 wfq weight 70outbound
port-queue af2 wfq weight 20outbound
port-queue ef pq shaping shaping-percentage 90outbound
qos phb disable
(3) Finding corresponding QOS global configuration
diffserv domain IPRAN
mpls-EXP-bound 0phb be green// join-up mapping to queue by EXP
mpls-exp-inbound 1phb be green
mpls-exp-inbound 2phb af2 green
mpls-exp-inbound 3phb af2 green
mpls-exp-inbound 4phb ef green
mpls-exp-inbound 5phb af1 green
mpls-exp-inbound 6phb ef green
mpls-exp-inbound 7phb af1 green
Mapping corresponding queue codes:
0 be
1 be
2 af2
3 af2
4 ef
5 af1
6 ef
7 af1
5. device a QOS queue configuration acquisition
And (3) configuration and collection of QOS queue of Zhongxing A equipment:
(1) interface configuration of A upper connection B equipment
interface gei_1/1
trust dscp
flow-queue Queue1
(2) Finding the corresponding QOS Global configuration flow-Queue 1// creating template named Queue1 through flow-Queue 1
queue cs6 pq shaping cir 900000pir 900000
queue af4 pq shaping cir 900000pir 900000
queue cs7 dwrr 70flow-taildrop
queue ef dwrr 70flow-taildrop
queue af2 dwrr 20flow-taildrop
queue af3 dwrr 20flow-taildrop
queue af1 flow-taildrop
queue be flow-taildrop
(3) Interface configuration of A lower connection base station and moving ring
nterface gei_1/x
trust upstream IPRAN// LBBU UNI ingress port mapping
trust dscp
flow-queue Queue1
(4) Finding the corresponding QOS global configuration flow-Queue 1// creating a template named Queue1 through flow-Queue 1
queue cs6 pq shaping cir 900000pir 900000
queue af4 pq shaping cir 900000pir 900000
queue cs7 dwrr 70flow-taildrop
queue ef dwrr 70flow-taildrop
queue af2 dwrr 20flow-taildrop
queue af3 dwrr 20flow-taildrop
queue af1 flow-taildrop
queue be flow-taildrop
(5) Mapping corresponding queue codes:
0 be
1 be
2 af2
3 af2
4 ef
5 af1
6 ef
7 af1
hua is a equipment QOS queue configuration collection:
(1) queue scheduling for A-up B-device interface
interface gigabit Ethernet x/x/x// scheduling can only be deployed in the mother port
port-queue be wfq weight 10outbound
port-queue af1 wfq weight 70outbound
port-queue af2 wfq weight 20outbound
port-queue ef pq shaping 900000outbound
(2) Interface queue scheduling of A downlink base station and moving ring
interface gigabit Ethernet x/x/x// scheduling can only be deployed in the mother interface
port-queue be wfq weight 10outbound
port-queue af1 wfq weight 70outbound
port-queue af2 wfq weight 20outbound
port-queue ef pq shaping 900000outbound
(3) Mapping corresponding queue codes:
0 be
1 be
2 af2
3 af2
4 ef
5 af1
6 ef
7 af1
5. QOS queue traffic collection
Cisco CRS QOS queue traffic collection:
hua is NE5000E QOS queue traffic collection:
hua is NE40E QOS queue traffic collection:
the collection instruction is the same as NE 5000E.
Second, service network topology establishment
And establishing a B-plane IPRAN service network topology through information such as port description of equipment in the IP comprehensive network management, and finally realizing the network topology relation of the IPRAN service CR-SR-IPRAN B equipment-IPRAN A equipment.
In the process of establishing the IPRAN service topology, the service path does not need to be considered, and if a plurality of links exist in the uplink, all links are displayed.
And establishing the incidence relation between the QOS queue and the service quality, and performing end-to-end service quality display.
QOS quality model
The system establishes a corresponding quality model, and monitors and warns the end-to-end quality of the IPRAN network according to the port, as shown in the following table 2:
TABLE 2
| In-network mapping (EXP) | Queue scheduling mode | Scheduling policy | Quality model |
| 46 | PQ (priority queue) | The residual bandwidth is 90 percent | Current rate less than 90%, Normal, greater than 90% abnormal |
| 57 | Polling queue1 | 70% of the residual bandwidth | Current Rate less than 70%, Normal, greater than 70% abnormal |
| 23 | Polling queue 2 | 20% of the residual bandwidth | Current rate less than 20%, Normal, greater than 20% abnormal |
| 01 | BE | 10% of the residual bandwidth | Current rate less than 10%, normal, greater than 10% abnormal |
And gradually positioning the equipment according to the service network topology, establishing a mapping relation between the equipment B, namely SR and CR, finding out a fault area and a network element, and outputting a poor quality area and a network element list.
The system establishes a mapping relationship between the ports and the QOS queue indexes according to the following table 3, and the system can provide QOS degradation alarm for positioning fault points according to the mapping relationship between equipment and the ports.
TABLE 3
| Device name | Port name | Port QOS queue name | Port corresponding level |
| NE5000 | GigabitEthernetx/x/x/x | be | 0 |
| NE5001 | GigabitEthernetx/x/x/x | be | 1 |
| NE5002 | GigabitEthernetx/x/x/x | af2 | 2 |
| NE5003 | GigabitEthernetx/x/x/x | af2 | 3 |
| NE5004 | GigabitEthernetx/x/x/x | ef | 4 |
| NE5005 | GigabitEthernetx/x/x/x | af1 | 5 |
| NE5006 | GigabitEthernetx/x/x/x | ef | 6 |
| NE5007 | GigabitEthernetx/x/x/x | af1 | 7 |
Based on the same invention concept, the invention also provides a network quality analysis device based on QOS queue flow. The implementation of the device can be referred to the implementation of the method, and repeated details are not repeated. The term "module," as used below, may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated.
Fig. 2 is a schematic structural diagram of a QOS queue traffic-based network quality analysis apparatus according to an embodiment of the present invention. As shown in fig. 2, the apparatus includes:
the equipment QOS index acquisition module 101 is used for acquiring a QOS queue and a QOS flow of a metropolitan area network equipment port through a universal SSH protocol, and storing the acquired data as a parameter for auxiliary fault judgment;
an end-to-end link establishing module 102, configured to establish an end-to-end network topology relationship through a device port description of a metropolitan area network;
establishing a B-plane IPRAN service network topology through the port description of equipment in the IP comprehensive network management, and finally realizing the network topology relation of IPRAN service CR-SR-IPRAN B equipment-IPRAN A equipment;
a QOS quality monitoring and early warning module 103, which is used for realizing the association between the service quality and the hop-by-hop equipment, ports and QOS queue states of the bearer network through a QOS quality model, and when the QoS quality model exceeds a defined threshold value, the service node is positioned to have a fault; meanwhile, monitoring the service quality index of the port, generating an abnormal performance event and giving out an early warning or exceeding the standard;
the system establishes a QOS quality model according to the queue priority, and realizes monitoring and early warning on the end-to-end quality of the IPRAN network according to the port;
the method comprises the steps of positioning equipment step by step according to service network topology, establishing a mapping relation between heavy service equipment B, namely SR and CR, finding out a fault area and a network element, and outputting a quality difference area and a network element list;
the system establishes the mapping relation between the port and the QOS queue index, and provides the QOS degradation alarm to position the fault point according to the mapping relation between the equipment and the port.
It should be noted that although several modules of the QOS queue traffic based network quality analysis apparatus are mentioned in the above detailed description, such division is merely exemplary and not mandatory. Indeed, the features and functionality of two or more of the modules described above may be embodied in one module according to embodiments of the invention. Conversely, the features and functions of one module described above may be further divided into embodiments by a plurality of modules.
Based on the aforementioned inventive concept, as shown in fig. 3, the present invention further provides a computer apparatus 200, which includes a memory 210, a processor 220, and a computer program 230 stored on the memory 210 and operable on the processor 220, wherein the processor 220 implements the aforementioned QOS queue traffic based network quality analysis method when executing the computer program 230.
Based on the above inventive concept, the present invention further provides a computer readable storage medium storing a computer program for executing the QOS queue traffic based network quality analysis method.
The existing service quality management scheme of an operator only considers the performance of network equipment and the performance and flow indexes between physical links, and a monitoring data model is single. Therefore, the QOS queue flow-based network quality analysis method and device provided by the invention realize a service level quality monitoring system by establishing a port QOS queue and acquiring QOS flow; and establishing an early warning model of the service quality according to the queue priority by introducing a QOS queue level concept.
While the spirit and principles of the invention have been described with reference to several particular embodiments, it is to be understood that the invention is not limited to the disclosed embodiments, nor is the division of aspects, which is for convenience only as the features in such aspects may not be combined to benefit. The invention is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
The limitation of the protection scope of the present invention is understood by those skilled in the art, and various modifications or changes which can be made by those skilled in the art without inventive efforts based on the technical solution of the present invention are still within the protection scope of the present invention.
Claims (8)
1. A network quality analysis method based on QOS queue flow is characterized by comprising the following steps:
the QOS queue and the QOS flow of a metropolitan area network equipment port are acquired through a universal SSH protocol, and the acquired data is put in storage and used as a parameter for auxiliary fault judgment;
establishing an end-to-end network topology relationship through the equipment port description of the metropolitan area network;
the correlation between the service quality and the hop-by-hop equipment, ports and QOS queue states of the bearer network is realized through a QOS quality model, and when the service quality exceeds a defined threshold value, the service node is positioned to have a fault; and meanwhile, monitoring the service quality index of the port, generating an abnormal performance event and raising early warning or exceeding the standard.
2. The QOS queue traffic based network quality analysis method according to claim 1, wherein establishing an end-to-end network topology relationship through a device port description of a metropolitan area network comprises:
and establishing a B-plane IPRAN service network topology through the port description of equipment in the IP comprehensive network management, and finally realizing the network topology relation of the IPRAN service CR-SR-IPRAN B equipment-IPRAN A equipment.
3. The QOS queue flow-based network quality analysis method of claim 1, wherein the correlation between the service quality and the hop-by-hop equipment, ports and QOS queue state of the bearer network is realized through a QOS quality model, and when the defined threshold value is exceeded, the service node is positioned to have a fault; meanwhile, monitoring the service quality index of the port, generating an abnormal performance event and providing an early warning or exceeding standard, wherein the method comprises the following steps:
the system establishes a QOS quality model according to the queue priority, and realizes monitoring and early warning on the end-to-end quality of the IPRAN network according to the port;
the equipment is positioned step by step according to the service network topology, the mapping relation between the heavy service-B equipment-SR and CR is established, the fault area and the network element are found out, and the poor quality area and the network element list are output;
the system establishes the mapping relation between the port and the QOS queue index, and provides QOS degradation alarm for fault point positioning according to the mapping relation between the equipment and the port.
4. A QOS queue traffic based network quality analysis apparatus, comprising:
the equipment QOS index acquisition module is used for acquiring a QOS queue and a QOS flow of a metropolitan area network equipment port through a universal SSH protocol, and storing the acquired data as a parameter for auxiliary fault judgment;
an end-to-end link establishment module, configured to establish an end-to-end network topology relationship through a device port description of a metropolitan area network;
the QOS quality monitoring and early warning module is used for realizing association between the service quality and the hop-by-hop equipment, ports and QOS queue states of the bearer network through a QOS quality model, and when the QoS quality model exceeds a defined threshold value, the service node is positioned to have a fault; and meanwhile, monitoring the service quality index of the port, generating an abnormal performance event and raising early warning or exceeding the standard.
5. The QOS queue traffic-based network quality analysis device of claim 4, wherein the end-to-end link establishment module is specifically configured to:
and establishing a B-plane IPRAN service network topology through the port description of equipment in the IP comprehensive network management, and finally realizing the network topology relation of the IPRAN service CR-SR-IPRAN B equipment-IPRAN A equipment.
6. The QOS-queue-flow-based network quality analysis device of claim 4, wherein the QOS quality monitoring and pre-warning module is specifically configured to:
the system establishes a QOS quality model according to the queue priority, and realizes monitoring and early warning on the end-to-end quality of the IPRAN network according to the port;
the equipment is positioned step by step according to the service network topology, the mapping relation between the heavy service-B equipment-SR and CR is established, the fault area and the network element are found out, and the poor quality area and the network element list are output;
the system establishes the mapping relation between the port and the QOS queue index, and provides QOS degradation alarm for fault point positioning according to the mapping relation between the equipment and the port.
7. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the method of any of claims 1-3 when executing the computer program.
8. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program for executing the method of any one of claims 1-3.
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