CN111740867A - Method for automatically optimizing, scheduling and routing of wide area network service traffic - Google Patents
Method for automatically optimizing, scheduling and routing of wide area network service traffic Download PDFInfo
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- CN111740867A CN111740867A CN202010631502.XA CN202010631502A CN111740867A CN 111740867 A CN111740867 A CN 111740867A CN 202010631502 A CN202010631502 A CN 202010631502A CN 111740867 A CN111740867 A CN 111740867A
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
- H04L41/0823—Configuration setting characterised by the purposes of a change of settings, e.g. optimising configuration for enhancing reliability
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0896—Bandwidth or capacity management, i.e. automatically increasing or decreasing capacities
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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
- H04L41/14—Network analysis or design
- H04L41/147—Network analysis or design for predicting network behaviour
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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
- H04L41/22—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks comprising specially adapted graphical user interfaces [GUI]
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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
- H04L41/5019—Ensuring fulfilment of SLA
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L47/00—Traffic control in data switching networks
- H04L47/10—Flow control; Congestion control
- H04L47/12—Avoiding congestion; Recovering from congestion
- H04L47/125—Avoiding congestion; Recovering from congestion by balancing the load, e.g. traffic engineering
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Abstract
The invention discloses a method for automatically optimizing, scheduling and selecting a route for wide area network service traffic, which belongs to the technical field of wide area network traffic scheduling and comprises the following steps: s101: collecting routing and service flow information; s102: collecting service information, and collecting user and service data basic information by a user side, and uniformly reporting the basic information to a computing center through a transfer station for analysis and processing; s103: calculating, wherein a calculation center collects network routing information for service flow path calculation, collects network flow information for service flow prediction, and collects user and service data basic information for service flow fair distribution; and calculating the loadable flow of each router and the flow required by the service demand of each user side respectively by adopting an intelligent prediction algorithm according to the information. And the traffic is intelligently scheduled by adopting a service definition network technology, an intelligent prediction algorithm and a fair distribution algorithm, the bandwidth is distributed as required, and the route is selected as required.
Description
Technical Field
The invention relates to the technical field of wide area network traffic scheduling, in particular to a method for automatically optimizing, scheduling and routing of wide area network service traffic.
Background
Wide Area network wan (wide Area network), also called remote network rcn (remote Computer network), has the largest range of operation, which can be typically several tens of kilometers to several tens of kilometers. A network established between countries or internationally is a wide area network. Within a wide area network, transmission means and transmission media for communication may be provided by the telecommunications department. Currently, the world's largest information network, the Internet, has covered over 180 countries and regions, including our country, connecting tens of thousands of networks, end users have reached tens of millions, and are growing at 15% of a month. Users in a wide area network will access different services via fixed routes, because the requirements, policies and importance levels of each service are different, requiring different processing rates and further requiring traffic scheduling. Patent No. CN201710501631.5 discloses a traffic scheduling method, a VNF module, and a traffic scheduling server, which are used to reduce the east-west traffic of the VNF module, thereby reducing downlink ports for transmitting the east-west traffic, facilitating the improvement of the specification of the NFV architecture system, and reducing the networking cost. The embodiment method comprises the following steps: when a first group of instances of the VNF module receives service flow, judging whether the size of the service flow exceeds a load sharing threshold of the first group of instances; if yes, dispatching the traffic of which the traffic flow exceeds the load sharing threshold value to a second group of instances; if not, the traffic flow is not scheduled to the second group of instances. However, the above patent cannot perform intelligent traffic scheduling in the wan range according to the service definition, and currently, a fixed route is still used to directly limit traffic, so that wan resources cannot be reasonably allocated.
Disclosure of Invention
The invention aims to provide a method for automatically optimizing, scheduling and selecting routes for wide area network service traffic.
In order to achieve the purpose, the invention provides the following technical scheme: a method for automatically optimizing, scheduling and routing of wide area network service traffic comprises the following steps:
s101: collecting routing and service flow information, and finishing flow forwarding by the router according to a service flow scheduling strategy; the network information collection center is responsible for collecting user network routing information and collecting network service flow; the network information acquisition center acquires attribute information and service flow information of each router and transmits the attribute information and the service flow information to the computing center;
s102: collecting service information, and collecting user and service data basic information by a user side, and uniformly reporting the basic information to a computing center through a transfer station for analysis and processing;
s103: calculating, wherein a calculation center collects network routing information for service flow path calculation, collects network flow information for service flow prediction, and collects user and service data basic information for service flow fair distribution; respectively calculating the loadable flow of each router and the flow required by the service demand of each user side by adopting an intelligent prediction algorithm according to the information;
s104: distributing, further adopting a fair distribution algorithm to distribute the traffic path and the bandwidth upper limit of the traffic flow of each user side according to the data obtained by calculation in the step S103, and converting a distribution result into router configuration;
s105: and scheduling, wherein the transfer station is responsible for uniform access of the user side and uniform issuing of router scheduling strategy configuration, and the transfer station is uniformly issued to the router according to the router configuration finally generated by the computing center to complete scheduling of service flow.
Furthermore, a transfer station is set between the router and the user terminal, and the transfer station is connected with the computing center.
Further, the network information collection center collects router attribute information at a fixed frequency, wherein the router attributes include application bandwidth and path.
Further, the user end and the router after the connection is established enter the allocated state, and the allocation continues until the current service is finished or the flow limit value carried by the router attribute exceeds or is lower than the range value of the required flow of the user end.
Further, after the flow limit value carried by the router attribute in S105 exceeds or is lower than the range value of the user-side required flow, the router is disconnected from the current user side, the existing user network is separated, and the router and the user side after separation enter the to-be-distributed state again.
Further, in S101, the user end is respectively provided with a user network connection port and a service information reading unit, where the user network connection port is connected to the router, the router is accessed to the user network, and the service information reading unit obtains the user policy and the application requirement data, and sends the data to the computing center.
Compared with the prior art, the invention has the beneficial effects that: the invention provides a method for automatically optimizing, scheduling and selecting routes for wide area network service traffic, which schedules the traffic by adopting a service definition network technology, an intelligent prediction algorithm and a fair distribution algorithm, automatically adjusts the application bandwidth and the path according to the application importance level, the actual use condition and the future requirement, ensures that the line is fully and fairly utilized, ensures the service quality and greatly improves the operation and maintenance efficiency; based on a global visual angle, the whole network realizes multi-level and omnibearing visualization by uniformly integrating the resources of the whole network, observing the network state in a multidimensional way and intelligently analyzing the operation data, and realizes service-driven wide area network service by carrying out centralized control, global scheduling and implementation and optimization according to user strategies and application requirements.
Drawings
FIG. 1 is an overall structure diagram of the method for automatically optimizing, scheduling and routing of WAN traffic according to the present invention;
FIG. 2 is a connection diagram of the method for automatically optimizing scheduling routing of WAN traffic according to the present invention;
FIG. 3 is a connection state diagram of a user terminal and a router of the method for automatically optimizing, scheduling and routing of WAN traffic according to the present invention;
fig. 4 is a flowchart of a method for automatically optimizing, scheduling and routing of wan traffic according to the present invention.
In the figure: 1. a network information collection center; 2. a router; 3. a calculation center; 4. a user side; 5. and (4) a transfer station.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the 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 invention.
Referring to fig. 1-4, a method for automatically optimizing, scheduling and routing of wide area network service traffic includes the following steps:
s101: collecting routing and service flow information, and completing flow forwarding by the router 2 according to a service flow scheduling strategy; the network information collection center 1 is responsible for collecting user network routing information and collecting network service flow; the network information collection center 1 collects the attribute information and the service flow information of each router 2 and transmits the attribute information and the service flow information to the calculation center 3; the user side 4 is respectively provided with a user network connection port and a service information reading unit, wherein the user network connection port is connected with the router 2, the router 2 is accessed into a user network, the service information reading unit acquires user strategies and application demand data and sends the data to the computing center 3, the network information acquisition center 1 acquires attribute information of the router 2 at a fixed frequency, wherein the attribute of the router 2 comprises application bandwidth and a path so as to realize that a service definition network is a design target, and the service network surrounding a client provides functions of unified scheduling, real-time bandwidth evaluation and rapid bandwidth allocation of the whole network with the service as a core;
s102: collecting service information, and collecting user and service data basic information by a user side 4, and uniformly reporting the basic information to a computing center 3 through a transfer station 5 for analysis and processing; the user terminal 4 reads the service information, acquires user strategies and application requirements, and inputs data into the computing center 3; the application requirements comprise application importance levels, actual use conditions and future requirements; the router 2 identifies the corresponding user terminal 4, receives the connection request after identification and establishes connection with the connection request, a transfer station 5 is arranged between the router 2 and the user terminal 4, and the transfer station 5 is connected with the computing center 3;
s103: calculating, wherein a calculation center 3 collects network routing information for service flow path calculation, collects network flow information for service flow prediction, and collects user and service data basic information for service flow fair distribution; respectively calculating the loadable flow of each router 2 and the flow required by the service demand of each user side 4 by adopting an intelligent prediction algorithm according to the information;
s104: distributing, further adopting a fair distribution algorithm to distribute the traffic path and the bandwidth upper limit of the traffic flow of each user terminal 4 according to the data obtained by calculation in the step S103, and converting the distribution result into the configuration of the router 2; the traffic is scheduled by adopting a service definition network technology, an intelligent prediction algorithm and a fair distribution algorithm, and the application bandwidth and the path are automatically adjusted according to the application important level, the actual use condition and the future requirement, so that the lines are fully and fairly utilized, the service quality is guaranteed, and the operation and maintenance efficiency is greatly improved;
s105: and the transfer station 5 is responsible for uniform access of the user terminal 4 and uniform issuing of the configuration of the scheduling strategy of the router 2, the transfer station 5 is uniformly issued to the router 2 according to the configuration of the router 2 finally generated by the computing center 3 to complete the scheduling of the service flow, the distribution lasts until the current service is finished or the flow limit value borne by the attribute of the router 2 exceeds or is lower than the range value of the flow required by the user terminal 4, after the flow limit value borne by the attribute of the router 2 exceeds or is lower than the range value of the flow required by the user terminal 4, the router 2 is disconnected with the current user terminal 4, the existing user network is separated, and the router 2 and the user terminal 4 after separation enter the state to be distributed again.
In summary, the following steps: the invention provides a method for automatically optimizing, scheduling and selecting routes for wide area network service traffic, which schedules the traffic by adopting a service definition network technology, an intelligent prediction algorithm and a fair distribution algorithm, automatically adjusts the application bandwidth and the path according to the application importance level, the actual use condition and the future requirement, ensures that the line is fully and fairly utilized, ensures the service quality and greatly improves the operation and maintenance efficiency; based on a global visual angle, the whole network realizes multi-level and omnibearing visualization by uniformly integrating the resources of the whole network, observing the network state in a multidimensional way and intelligently analyzing the operation data, and realizes service-driven wide area network service by carrying out centralized control, global scheduling and implementation and optimization according to user strategies and application requirements.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be able to cover the technical solutions and the inventive concepts of the present invention within the technical scope of the present invention.
Claims (6)
1. A method for automatically optimizing, scheduling and selecting routes for wide area network service traffic is characterized by comprising the following steps:
s101: collecting routing and service flow information, and finishing flow forwarding by the router (2) according to a service flow scheduling strategy; the network information collection center (1) is responsible for collecting user network routing information and collecting network service flow; the network information collection center (1) collects attribute information and service flow information of each router (2) and transmits the attribute information and the service flow information to the calculation center (3);
s102: collecting service information, and collecting user and service data basic information by a user side (4), and uniformly reporting the user and service data basic information to a computing center (3) through a transfer station (5) for analysis and processing;
s103: calculating, wherein a calculation center (3) collects network routing information for service flow path calculation, collects network flow information for service flow prediction, and collects user and service data basic information for fair service flow distribution; respectively calculating the loadable flow of each router (2) and the flow required by the service demand of each user side (4) by adopting an intelligent prediction algorithm according to the information;
s104: distributing, further adopting a fair distribution algorithm to distribute a flow path and a bandwidth upper limit for the service flow of each user side (4) according to the data obtained by calculation in the S103, and converting a distribution result into router (2) configuration;
s105: and scheduling, wherein the transfer station (5) is responsible for uniformly accessing the user terminals (4) and uniformly issuing the configuration of the scheduling strategy of the router (2), and the transfer station (5) uniformly issues the configuration of the router (2) finally generated by the computing center (3) to the router (2) to complete the scheduling of the service flow.
2. The method according to claim 1, wherein a transfer station (5) is set between the router (2) and the user terminal (4), and the transfer station (5) is connected to the computing center (3).
3. The method for automatically optimizing scheduled routing of wide area network traffic according to claim 1, wherein the network information collection center (1) collects router (2) attribute information at a fixed frequency, wherein the router (2) attributes include application bandwidth and path.
4. The method according to claim 1, wherein the user end (4) and the router (2) after establishing the connection enter an allocated state, and the allocation continues until the current service is ended or the value of the traffic limit carried by the attribute of the router (2) exceeds or is lower than the range value of the traffic required by the user end (4).
5. The method as claimed in claim 1, wherein after the traffic limit value carried by the attribute of the router (2) in S105 exceeds or is lower than the range value of the traffic required by the user end (4), the router (2) is disconnected from the current user end (4), and the router (2) and the user end (4) after disconnection are disconnected from the existing user network and re-enter the state to be allocated.
6. The method according to claim 1, wherein the user end (4) in S101 is respectively provided with a user network connection port and a service information reading unit, wherein the user network connection port is connected to the router (2), the router (2) is accessed to the user network, and the service information reading unit obtains the user policy and the application requirement data and sends the data to the computing center.
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| CN112822107A (en) * | 2021-02-21 | 2021-05-18 | 上海帕科信息科技有限公司 | Wide area network optimization method based on artificial intelligence |
| CN112838957A (en) * | 2021-02-23 | 2021-05-25 | 成都卓源网络科技有限公司 | Flow prediction system with intelligent scheduling function |
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