CN114650232B - 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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- 238000004458 analytical method Methods 0.000 title claims abstract description 24
- 238000012544 monitoring process Methods 0.000 claims abstract description 19
- 238000000034 method Methods 0.000 claims abstract description 15
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- 238000013507 mapping Methods 0.000 claims description 26
- 238000004590 computer program Methods 0.000 claims description 10
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- 238000006731 degradation reaction Methods 0.000 claims description 7
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- 230000009286 beneficial effect Effects 0.000 description 1
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Classifications
-
- 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]
-
- 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
- H04L41/02—Standardisation; Integration
- H04L41/0213—Standardised network management protocols, e.g. simple network management protocol [SNMP]
-
- 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
-
- 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
-
- 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
- H04L41/14—Network analysis or design
- H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0805—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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/16—Threshold monitoring
Abstract
The invention discloses a network quality analysis method and device based on QOS queue traffic, wherein the method comprises the following steps: QOS queues and QOS flow collection of the metropolitan area network equipment ports are realized through a universal SSH protocol, and collected data are put in storage and serve as parameters for fault auxiliary judgment; establishing an end-to-end network topology relationship through the device port description of the metropolitan area network; the QOS quality model is used for associating the service quality with the hop-by-hop equipment, port and QOS queue state of the bearing network, and when the service quality exceeds a defined threshold value, the service node is positioned to have faults; and meanwhile, monitoring the service quality index of the port, generating an abnormal performance event and providing early warning or exceeding standard. The method and the device realize a service level quality monitoring system by establishing a port QOS queue and collecting QOS flow; by introducing the concept of QOS queue grade, a pre-warning model of service quality is built according to the queue priority.
Description
Technical Field
The invention relates to the field of quality management of network equipment, in particular to a network quality analysis method and device based on QOS queue traffic.
Background
With the development and maturity of broadband services, voice and video services are carried through an IP network, so that a multi-service convergence carrying trend is induced, the carrying efficiency of the network is improved, the home client experience is improved, and higher carrying requirements are brought to the network.
In order to match with the diversification and high-speed development of the service, the service quality of network bearing is ensured, the perceptibility of customer experience is improved, the IP metropolitan area network is constructed to be a full service support, different customer requirements are met, and the high-quality network with good stability and expansibility and analyzable whole-course service is provided. For this purpose, QOS guarantee policies will be introduced to preferentially guarantee importance levels and high quality services.
The existing quality management method of the network equipment adopts a traditional judging mode of combining the performance of the network equipment, port flow and task state, and the main defects of the method are as follows:
1. the traditional network equipment performance acquisition scheme only monitors the quality of network nodes, and cannot effectively establish service-oriented service quality monitoring.
2. Traffic and flow direction of the service are not considered, and influence on the service caused by index degradation of a network logic level 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 device based on QOS queue flow, an end-to-end QOS quality monitoring system is established by adopting SNMP and telnet protocols, customer service level and whole network service quality are clearly mastered, service perception of customer service is emphasized, service network resource conditions of customers and corresponding data quality conditions are ensured, and service quality of users is ensured.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
in an embodiment of the present invention, a network quality analysis method based on QOS queue traffic is provided, where the method includes:
QOS queues and QOS flow collection of the metropolitan area network equipment ports are realized through a universal SSH protocol, and collected data are put in storage and serve as parameters for fault auxiliary judgment;
establishing an end-to-end network topology relationship through the device port description of the metropolitan area network;
the QOS quality model is used for associating the service quality with the hop-by-hop equipment, port and QOS queue state of the bearing network, and when the service quality exceeds a defined threshold value, the service node is positioned to have faults; and meanwhile, monitoring the service quality index of the port, generating an abnormal performance event and providing early warning or exceeding standard.
Further, establishing an end-to-end network topology relationship through a device port description of a metropolitan area network includes:
and establishing a B plane IPRAN service network topology through port description of equipment in the IP comprehensive network management, and finally realizing the network topology relationship of the IPRAN service CR-SR-IPRAN B equipment-IPRAN A equipment.
Further, the service quality is associated with the hop-by-hop equipment, the port and the QOS queue state of the bearing network through a QOS quality model, and when the service quality exceeds a defined threshold value, the service node is positioned to have faults; meanwhile, the method monitors the service quality index of the port, generates an abnormal performance event and provides early warning or exceeding standard, and comprises the following steps:
the system establishes a QOS quality model according to the queue priority, and monitors and pre-warns the end-to-end quality of the IPRAN network according to the port;
step-by-step positioning equipment according to service network topology, establishing a mapping relation between heavy service-B equipment-SR and CR, finding out a fault area and network elements, and outputting a quality difference area and network element list;
the system establishes the mapping relation between the port and the QOS queue index, and provides QOS degradation alarm to locate fault point according to the mapping relation between the equipment and the port.
In an embodiment of the present invention, there is further provided a QOS queue traffic-based network quality analysis device, including:
the device QOS index acquisition module is used for acquiring QOS queues and QOS flow of the device ports of the metropolitan area network through a universal SSH protocol, and the acquired data are put in storage and serve as parameters for fault auxiliary judgment;
an end-to-end link establishing module for establishing an end-to-end network topology relationship through the device port description of the 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, port and QOS queue state of the bearing network through a QOS quality model, and locating that the service node fails when the service quality exceeds a defined threshold; and meanwhile, monitoring the service quality index of the port, generating an abnormal performance event and providing early warning or exceeding standard.
Further, the end-to-end link establishment module is specifically configured to:
and establishing a B plane IPRAN service network topology through port description of equipment in the IP comprehensive network management, and finally realizing the network topology relationship of the IPRAN service CR-SR-IPRAN B equipment-IPRAN A equipment.
Further, the QOS quality monitoring and early warning module is specifically configured to:
the system establishes a QOS quality model according to the queue priority, and monitors and pre-warns the end-to-end quality of the IPRAN network according to the port;
step-by-step positioning equipment according to service network topology, establishing a mapping relation between heavy service-B equipment-SR and CR, finding out a fault area and network elements, and outputting a quality difference area and network element list;
the system establishes the mapping relation between the port and the QOS queue index, and provides QOS degradation alarm to locate fault point according to the mapping relation between the equipment and the port.
In an embodiment of the present invention, a computer device is further provided, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor implements the foregoing QOS queue traffic-based network quality analysis method when executing the computer program.
In an embodiment of the present invention, a computer readable storage medium is also presented, in which a computer program for executing a QOS queue traffic based network quality analysis method is stored.
The beneficial effects are that:
1. the invention realizes a service level quality monitoring system by establishing the port QOS queue and collecting 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 grade.
Drawings
FIG. 1 is a flow chart of a network quality analysis method based on QOS queue traffic according to an embodiment of the invention;
FIG. 2 is a schematic diagram of a network quality analysis device based on QOS queue traffic according to an embodiment of the present invention;
FIG. 3 is a schematic 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, with the understanding that these embodiments are merely provided to enable those skilled in the art to better understand and practice the invention and are not intended to limit the scope of the 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.
Those skilled in the art will appreciate that embodiments of the invention may be implemented as a system, apparatus, device, method, or computer program product. Accordingly, the present disclosure may be embodied in the following forms, namely: complete hardware, complete software (including firmware, resident software, micro-code, etc.), or a combination of hardware and software.
According to the embodiment of the invention, a network quality analysis method and a device based on QOS queue flow are provided, an end-to-end QOS quality monitoring system is established by adopting SNMP and telnet protocols, the service level of a customer service and the service quality of the whole network are clearly mastered, the service perception of the customer service is emphasized, the condition of the service network resource of the customer and the condition of corresponding data quality are ensured, and the service quality of a user is ensured.
The principles and spirit of the present invention are explained in detail below with reference to several representative embodiments thereof.
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 collection, end-to-end link establishment, QOS quality monitoring and early warning. As shown in fig. 1, the specific contents are as follows:
s1, collecting QOS indexes of equipment: QOS queues and QOS flow collection of the metropolitan area network equipment ports are realized through a universal SSH protocol, and collected data are put in storage and serve as parameters for fault auxiliary judgment;
s2, establishing an end-to-end link: establishing an end-to-end network topology relationship through the device port description of the metropolitan area network;
s3, QOS quality monitoring and early warning: the QOS quality model is used for associating the service quality with the hop-by-hop equipment, port and QOS queue state of the bearing network, and when the service quality exceeds a defined threshold value, the service node is positioned to have faults; and meanwhile, monitoring the service quality index of the port, generating an abnormal performance event and providing early warning or exceeding standard.
It should be noted that although the operations of the method of the present invention are described in a particular order in the above embodiments and the accompanying drawings, this does not require or imply that the operations must be performed in the particular order or that all of the illustrated operations be performed in order to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step to perform, and/or one step decomposed into multiple steps to perform.
For a clearer explanation of the above-described QOS queue traffic-based network quality analysis method, a specific embodiment will be described below, however, it should be noted that this embodiment is only for better explaining the present invention, and is not meant to limit the present invention unduly.
The technical scheme of the invention is applied to the network management project of the urban area network of the operator in 2020, and establishes an end-to-end network topology and a quality analysis model by realizing the QOS butt joint of the IPRAN network A, B, SR and the CR equipment and the acquisition of related equipment, thereby realizing the quality analysis function of the IPRAN end-to-end QOS network.
1. Device QOS data acquisition instructions
1. The QOS acquisition range is shown in table 1 below:
TABLE 1
2. CR QOS queue acquisition
Cisco CR device QOS queue acquisition:
analyzing configuration files of the CRS equipment in Cisco every day, and collecting QOS port queues applied to ports of the CR equipment.
(1) Extracting the strategy of the port, and extracting the keyword IPRAN_output
interface x/x/x/x service-policy output IPRAN_Output
(2) And finding out 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 class is looked up by the keyword ipran_critical.
class-map match-any IPRAN_Critical
match mpls experimental topmost 46
match precedence 46
end-class-map
Hua is NE5000E device QOS queue acquisition:
(1) Port queue scheduling policy
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-policy 0outbound, this indicates that the port does not apply the queue. The QOS class of the interface is be, ef, af2, af1.
(2) The corresponding diffservdomain is found by the key 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 the corresponding queue codes:
0 be
1 be
2 af2
3 af2
4 ef
5 af1
6 ef
7 af1
3. SR QOS configuration
The Wash is SR QOS queue acquisition:
(1) Acquisition 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) Scheduling of acquisition SR downlink B device interface queue
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) The corresponding diffservdomain is found by the key 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 the corresponding queue codes:
0 be
1 be
2 af2
3 af2
4 ef
5 af1
6 ef
7 af1
nokia SR QOS queue configuration acquisition:
/>
/>
/>
/>
/>
4. IPRAN B device QOS configuration acquisition
Neutral B device configuration:
(1) Uplink SR interface queue application
service-policy xgei-x/x/x/x output 10G overwrite
(2) Finding a 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 downlink 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 a corresponding QOS global configuration
Policy-map GE// downlink A interface (GE) scheduling policy
class af4_cs6
police cir 900000cbs 15000pir 900000pbs 112500
priority-level 2
service-policy af4_cs6
The method comprises the following steps of (1) collecting:
(1) Queue scheduling for configuration B device uplink SR interface
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 B device downlink setting QoS phb disable, without changing original QoS mark of message
(2) Interface queue scheduling for configuration B device downlinked A device
interface GigabitEthernet x/x/x.xx trust upstream IPRAN// forward trust subinterfaces (which should include RAN, network management and ring monitoring)
interface GigabitEthernet x/x/x// outbound queue-parent 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 a corresponding QOS global configuration
diffserv domain IPRAN
mpls-EXP-inbound 0phb be green// upper join direction mapping to queues per 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 the 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
QOS queue configuration acquisition of the neutral A device:
(1) Interface configuration for A-linked B device
interface gei_1/1
trust dscp
flow-queue Queue1
(2) The corresponding QOS global configuration flow-Queue 1// creation template is named Queue1 by finding out the 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 downlink base station and dynamic ring
nterface gei_1/x
trust upstream IPRAN// LBBUUNI ingress port mapping
trust dscp
flow-queue Queue1
(4) The corresponding QOS global configuration flow-Queue 1// creation template is named Queue1 by finding out the 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 the corresponding queue codes:
0 be
1 be
2 af2
3 af2
4 ef
5 af1
6 ef
7 af1
and (3) configuring and collecting QOS queues of the equipment A:
(1) Queue scheduling for A-uplink B device interfaces
interface GigabitEthernet x/x/x// scheduling can only be deployed at the parent 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 dynamic ring
interface GigabitEthernet x/x/x// scheduling can only be deployed on the female 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 the 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:
/>
/>
the flow collection is NE40E QOS queue:
the acquisition instruction is identical to NE5000E.
2. Service network topology establishment
And establishing a B plane IPRAN service network topology through information such as port description of equipment in an IP comprehensive network management, and finally realizing the network topology relationship of the IPRAN service CR-SR-IPRAN B equipment-IPRAN A equipment.
In the process of establishing the IPRAN service topology, service paths do not need to be considered, and if a plurality of links exist in the uplink, all the links are displayed.
And establishing an association relation between the QOS queue and the service quality, and performing end-to-end service quality display.
3. QOS quality model
The system establishes a corresponding quality model, monitors and pre-warns the end-to-end quality of the IPRAN network according to port realization, as shown in the following table 2:
TABLE 2
| Intra-net mapping (EXP) | Queue scheduling mode | Scheduling policy | Quality model |
| 46 | PQ (priority queue) | Residual bandwidth 90% | The current speed is less than 90%, normal, more than 90% abnormal |
| 57 | Polling queue1 | 70% of the residual bandwidth | The current speed is less than 70%, normal, and greater than 70% abnormal |
| 23 | Polling queue 2 | 20% of the residual bandwidth | The current rate is less than 20%, normal, greater than 20% abnormal |
| 01 | BE | 10% of the residual bandwidth | The current speed is less than 10%, normal, more than 10% abnormal |
And (3) positioning the equipment step by step according to the service network topology, establishing a mapping relation between the heavy service-B equipment-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 according to the following table 3, and the system can provide QOS degradation alarm to locate fault points according to the mapping relation between the equipment and the port.
TABLE 3 Table 3
| Device name | Port name | Port QOS queue name | Port correspondence 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 conception, the invention also provides a network quality analysis device based on QOS queue flow. The implementation of the device can be referred to as implementation of the above method, and the repetition is not repeated. The term "module" as used below may be a combination of software and/or hardware that implements the intended function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
Fig. 2 is a schematic diagram of a QOS queue traffic-based network quality analysis device according to an embodiment of the present invention. As shown in fig. 2, the apparatus includes:
the device QOS index acquisition module 101 is configured to acquire QOS queues and QOS traffic of a metro network device port through a general SSH protocol, and store acquired data as parameters of fault auxiliary determination;
an end-to-end link establishment 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 port description of equipment in an IP comprehensive network management, and finally realizing the network topology relationship of the IPRAN service CR-SR-IPRAN B equipment-IPRAN A equipment;
the QOS quality monitoring and early warning module 103 is configured to correlate, through a QOS quality model, the quality of service with the hop-by-hop device, the port and the QOS queue state of the carrier network, and locate that the service node fails when the quality of service exceeds a defined threshold; meanwhile, monitoring the service quality index of the port, generating an abnormal performance event and providing early warning or exceeding standard;
the system establishes a QOS quality model according to the queue priority, and monitors and pre-warns the end-to-end quality of the IPRAN network according to the port;
step-by-step positioning equipment according to service network topology, establishing a mapping relation between heavy service-B equipment-SR and CR, finding out a fault area and network elements, and outputting a quality difference area and network element list;
the system establishes the mapping relation between the port and the QOS queue index, and provides QOS degradation alarm to locate fault point according to the mapping relation between the equipment and the port.
It should be noted that while several modules of a QOS queue traffic based network quality analysis device are mentioned in the detailed description above, this partitioning is merely exemplary and not mandatory. Indeed, the features and functions of two or more modules described above may be embodied in one module in accordance with embodiments of the present invention. Conversely, the features and functions of one module described above may be further divided into a plurality of modules to be embodied.
Based on the foregoing inventive concept, as shown in fig. 3, the present invention further proposes a computer device 200, including a memory 210, a processor 220, and a computer program 230 stored in the memory 210 and capable of running on the processor 220, where the processor 220 implements the foregoing QOS queue traffic-based network quality analysis method when executing the computer program 230.
Based on the foregoing inventive concept, the present invention further proposes a computer readable storage medium storing a computer program for executing the foregoing QOS queue traffic-based network quality analysis method.
The existing service quality management scheme of operators only considers the performance and flow indexes between the performance of network equipment and physical links, and the monitoring data model is single. Therefore, the network quality analysis method and device based on QOS queue flow, provided by the invention, realize a service layer quality monitoring system by establishing port QOS queues and collecting QOS flow; by introducing the concept of QOS queue grade, a pre-warning model of service quality is built according to the queue priority.
While the spirit and principles of the present 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 does it imply that features of the various aspects are not useful in combination, nor are they useful in any combination, such as for convenience of description. The invention is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.
It should be apparent to those skilled in the art that various modifications or variations can be made in the present invention without requiring any inventive effort by those skilled in the art based on the technical solutions of the present invention.
Claims (4)
1. A network quality analysis method based on QOS queue traffic is characterized in that the method comprises the following steps:
QOS queues and QOS flow collection of the metropolitan area network equipment ports are realized through a universal SSH protocol, and collected data are put in storage and serve as parameters for fault auxiliary judgment;
establishing an end-to-end network topology relationship through a device port description of a metropolitan area network, comprising:
establishing a B plane IPRAN service network topology through port description of equipment in an IP comprehensive network management, and finally realizing the network topology relationship of the IPRAN service CR-SR-IPRAN B equipment-IPRAN A equipment;
correlating the service quality with the hop-by-hop equipment, ports and QOS queue states of the bearing network through a QOS quality model, and locating that the metropolitan area network equipment fails when the service quality index exceeds a defined threshold; meanwhile, the method monitors the service quality index of the port, generates an abnormal performance event and provides early warning or exceeding standard, and comprises the following steps:
the system establishes a QOS quality model according to the queue priority, and monitors and pre-warns the end-to-end quality of the IPRAN network according to the port;
step-by-step positioning equipment according to service network topology, establishing a mapping relation between heavy service-B equipment-SR and CR, finding out a fault area and network elements, and outputting a quality difference area and network element list;
the system establishes the mapping relation between the port and the QOS queue index, and provides QOS degradation alarm to locate fault point according to the mapping relation between the equipment and the port.
2. A QOS queue traffic based network quality analysis device, the device comprising:
the device QOS index acquisition module is used for acquiring QOS queues and QOS flow of the device ports of the metropolitan area network through a universal SSH protocol, and the acquired data are put in storage and serve as parameters for fault auxiliary judgment;
an end-to-end link establishing module for establishing an end-to-end network topology relationship through a device port description of a metropolitan area network, comprising:
establishing a B plane IPRAN service network topology through port description of equipment in an IP comprehensive network management, and finally realizing the network topology relationship of the IPRAN service CR-SR-IPRAN B equipment-IPRAN A equipment;
the QOS quality monitoring and early warning module is used for realizing the correlation between the service quality and the hop-by-hop equipment, port and QOS queue state of the bearing network through a QOS quality model, and locating the fault of the metropolitan area network equipment when the service quality index exceeds a defined threshold value; meanwhile, the method monitors the service quality index of the port, generates an abnormal performance event and provides early warning or exceeding standard, and comprises the following steps:
the system establishes a QOS quality model according to the queue priority, and monitors and pre-warns the end-to-end quality of the IPRAN network according to the port;
step-by-step positioning equipment according to service network topology, establishing a mapping relation between heavy service-B equipment-SR and CR, finding out a fault area and network elements, and outputting a quality difference area and network element list;
the system establishes the mapping relation between the port and the QOS queue index, and provides QOS degradation alarm to locate fault point according to the mapping relation between the equipment and the port.
3. 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 claim 1 when executing the computer program.
4. A computer readable storage medium, characterized in that the computer readable storage medium stores a computer program for executing the method of claim 1.
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