CN113472661B - Automatic optimization method and device for network routing cost value - Google Patents
Automatic optimization method and device for network routing cost value Download PDFInfo
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- CN113472661B CN113472661B CN202110671520.5A CN202110671520A CN113472661B CN 113472661 B CN113472661 B CN 113472661B CN 202110671520 A CN202110671520 A CN 202110671520A CN 113472661 B CN113472661 B CN 113472661B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L45/00—Routing or path finding of packets in data switching networks
- H04L45/30—Routing of multiclass traffic
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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
- H04L41/0813—Configuration setting characterised by the conditions triggering a change of settings
- H04L41/0816—Configuration setting characterised by the conditions triggering a change of settings the condition being an adaptation, e.g. in response to network events
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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
- H04L45/00—Routing or path finding of packets in data switching networks
- H04L45/38—Flow based routing
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L45/00—Routing or path finding of packets in data switching networks
- H04L45/70—Routing based on monitoring results
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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
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D30/00—Reducing energy consumption in communication networks
- Y02D30/50—Reducing energy consumption in communication networks in wire-line communication networks, e.g. low power modes or reduced link rate
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- Computer Networks & Wireless Communication (AREA)
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- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention discloses a method and a device for automatically optimizing a network routing cost value, wherein the method comprises the following steps: logging in router equipment, collecting cost values, outflow utilization rates, inflow values, inflow utilization rates and collecting time of all uplink port, storing the cost values, outflow utilization rates, inflow values, inflow utilization rates and collecting time in a port flow table, and logging out; according to the acquired index value, counting the port flow condition of the network equipment in the last period, counting the port information of the network equipment in which the flow is congested, comparing the port outflow utilization rate with a preset port outflow congestion value, if the port outflow utilization rate exceeds the congestion value, reconfiguring the port cost value and storing, otherwise, exiting. The method and the device improve the optimization efficiency of the IPRAN network, judge the congestion degree of the ports through the system, automatically adjust the cost priority of the relevant ports for the ports with congestion, and adjust the forwarding priority of the interface data packets, so that the congestion nodes of the whole network are solved or relieved.
Description
Technical Field
The invention relates to the field of IPRAN network construction, in particular to a method and a device for automatically optimizing a network routing cost value.
Background
The IPRAN network is based on IP/MPLS protocol and key technology, mainly faces to mobile service bearing and gives consideration to providing two-three channel service bearing, and depends on CN2 backbone layer to form end-to-end service bearing network.
In the process of IPRAN network construction, as network equipment bearing services are continuously increased, circuit service importance levels are different, when the bandwidth capacity expansion speed of the network equipment cannot keep pace with the service development speed, how the network equipment bearing the services sets the qos quality of the circuit service and the parameter value of the physical port cost of the router equipment to be optimal values is important, and the network equipment is more and more important to network data maintenance support personnel, and network optimization is an unavoidable work in standardized management equipment.
Disclosure of Invention
In order to solve the problem that network equipment has traffic congestion, the invention provides a method and a device for automatically optimizing the cost value of a network route, which flexibly adjusts the cost value of a physical port to adjust the data forwarding priority according to different service grade degrees carried by the network equipment, thereby achieving the principle of ensuring qos quality for the most important service first and improving the optimization and improvement of network optimization by network equipment management personnel.
In order to achieve the above purpose, the present invention adopts the following technical scheme:
in an embodiment of the present invention, a method for automatically optimizing a network routing cost value is provided, where the method includes:
logging in router equipment, collecting cost values, outflow utilization rates, inflow values, inflow utilization rates and collecting time of all uplink port, storing the cost values, outflow utilization rates, inflow values, inflow utilization rates and collecting time in a port flow table, and logging out;
according to the acquired index value, counting the port flow condition of the network equipment in the last period, counting the port information of the network equipment in which the flow is congested, comparing the port outflow utilization rate with a preset port outflow congestion value, if the port outflow utilization rate exceeds the congestion value, reconfiguring the port cost value and storing, otherwise, exiting.
Further, configuring the port cost value includes:
acquiring a network equipment port with the most serious congestion, wherein the port cost value is maxC; acquiring the minimum cost value acquired last time by all downlink ports of the network equipment as minC; jump value step= (maxC-minC)/5, take integer value, if maxC-minC is less than 5, step=1;
the router device logs in the port, configures the port cost value as maxC+step, saves the configuration and exits the login.
Further, the index value is collected as a timing schedule, the timing schedule is configured, and when the timing schedule is performed, a port congestion valve value table is pre-configured.
Further, the port flow table includes a router ID, a port number, a cost value, an outflow utilization, an inflow value, an inflow utilization, and an acquisition time.
In an embodiment of the present invention, there is also provided an apparatus for automatically optimizing a network routing cost value, including:
the acquisition module is used for logging in the router equipment, acquiring cost values, outflow utilization rates, inflow values, inflow utilization rates and acquisition time of all the uplink port, storing the cost values, outflow utilization rates, inflow utilization rates and acquisition time of all the uplink port into the port flow meter, and logging out;
the configuration module is used for counting port flow conditions of the network equipment in the last period of time according to the collected index values, counting port information of the network equipment in which congestion occurs in the flow, comparing the port outflow utilization rate with a preset port outflow congestion valve, if the port outflow utilization rate exceeds the congestion valve, reconfiguring the port cost value and storing the port cost value, and otherwise, exiting.
Further, configuring the port cost value includes:
acquiring a network equipment port with the most serious congestion, wherein the port cost value is maxC; acquiring the minimum cost value acquired last time by all downlink ports of the network equipment as minC; jump value step= (maxC-minC)/5, take integer value, if maxC-minC is less than 5, step=1;
the router device logs in the port, configures the port cost value as maxC+step, saves the configuration and exits the login.
Further, the acquisition module is used as a timing scheduling module; the configuration module schedules the timing scheduling module, and when the timing scheduling is performed, a port congestion valve value table is pre-configured.
Further, the port flow table includes a router ID, a port number, a cost value, an outflow utilization, an inflow value, an inflow utilization, and an acquisition time.
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 method for automatically optimizing a network routing cost value 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 the network routing cost value automatic optimization method is stored.
The beneficial effects are that:
according to the invention, by logging in the IPRAN network equipment, according to the relevant service importance degree carried by the network equipment and different forwarding ports, when the network is congested, the cost parameter value of one port is adjusted to adjust the priority level of the port, thereby realizing the drainage function of the service flow of the router equipment, leading the network performance of the router equipment to reach the optimal and reasonable state, realizing that the network performance of the IPRAN network can be stabilized by changing the cost parameter value of the port of the equipment, automatically adjusting the flow performance, solving the network quality assurance degree of different service grades, maximizing the service performance of the equipment and further improving the network optimization capability of the IPRAN network.
Drawings
FIG. 1 is a flowchart of a method for automatically optimizing a network routing cost value according to an embodiment of the present invention;
FIG. 2 is a diagram illustrating an example acquisition process according to an embodiment of the present invention;
FIG. 3 is a diagram illustrating an example configuration flow according to an embodiment of the present invention;
FIG. 4 is a schematic diagram of an apparatus for automatically optimizing a network routing cost value according to an embodiment of the present invention;
FIG. 5 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 method and a device for automatically optimizing a network routing cost value are provided, a port with congestion is logged in a router device, the cost parameter value of one port is regulated to regulate the priority level of the port, so that the drainage effect of the service flow of the router device is realized, the network performance of the router device reaches the optimal reasonable state, the network performance of the device can be automatically regulated to be stable by changing the cost parameter value of the port of the device under the current network real-time environment, the network quality assurance degree of different service levels is solved, the service performance of the device is maximally realized, and the network optimization capability of an IPRAN network is further improved.
The principles and spirit of the present invention are explained in detail below with reference to several representative embodiments thereof.
Fig. 1 is a flowchart of a method for automatically optimizing a network routing cost value according to an embodiment of the present invention. As shown in fig. 1, the method includes:
s1, logging in router equipment, acquiring index values such as cost values, outflow utilization rates, inflow values, inflow utilization rates and the like of all uplink port and acquisition time, storing the index values into a port flow table, and logging out;
s2, according to the acquired index value, counting port flow conditions of the network equipment in the last period, counting port information of network equipment in which congestion occurs in the flow, comparing the port outflow utilization rate with a preset port outflow congestion valve value, if the port outflow utilization rate exceeds the congestion valve value, reconfiguring the port cost value and storing, otherwise, exiting; wherein configuring the port cost value comprises:
acquiring a network equipment port with the most serious congestion, wherein the port cost value is maxC; acquiring the minimum cost value acquired last time by all downlink ports of the network equipment as minC; jump value step= (maxC-minC)/5, take integer value, if maxC-minC is less than 5, step=1;
the router device logs in the port, configures the port cost value as maxC+step, saves the configuration and exits the login.
The correlation table is as follows:
port flow table r_port (router ID, port number, cost value, outflow utilization, inflow value, inflow utilization, acquisition time);
device port information table r_info (router ID, router IP, port number, port class [ labeled as both upstream and downstream ], bandwidth);
port cost configuration record table r_portcfgcost (router ID, port number, cost value, configuration time);
port congestion valve value table r_port_threshold (router ID, port number, outgoing congestion valve value, incoming congestion valve value).
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 method for automatically optimizing network routing cost values, 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 acquisition index value is used as the timing schedule, the schedule period is set to be 5 minutes by default, the timing schedule is scheduled during configuration, and when the timing schedule is performed, the port congestion valve value table is required to be configured, and the schedule period is set to be 1 hour by default.
Fig. 2 is a diagram illustrating an example of an acquisition process according to an embodiment of the invention. As shown in fig. 2, the acquisition procedure includes:
logging in equipment; collecting index values such as cost values, outflow utilization rates, inflow values, inflow utilization rates and the like of all uplink port, and collecting time; collecting the data into a database table, namely a port flow table R_port; the device is logged out.
FIG. 3 is a diagram illustrating an example of a configuration flow according to an embodiment of the present invention. As shown in fig. 3, the configuration flow includes:
the latest outflow utilization rate of the device port in the database table, namely the port flow table R_port, is read; judging whether the port outflow utilization rate exceeds a preset congestion valve value; if so, obtaining a port1 with the largest outflow utilization rate, wherein the port cost value is maxC, the port minimum cost value is minC, otherwise, waiting for 1 hour, and continuing to read the database table; logging in the equipment R1 where the port is located; judging whether step= (maxC-minC)/5 is greater than 1; if yes, step is rounded, the cost value of port1 is set to maxc+step, the configuration is saved and the device R1 is checked out, otherwise step=1, the cost value of port1 is set to maxc+1, the configuration is saved and the device R1 is checked out. Wherein Step represents the set jump value or represents the minimum unit value of the adjusted cost value; for example, the maximum cost value in all the downstream ports of the device is 50, and the minimum cost value is 20, then step=6; if the maximum is 10, the minimum is 6, 10-6=4 is less than 5, step=1.
Based on the same inventive concept, the invention also provides an automatic optimizing device for the network routing cost value. 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. 4 is a schematic structural diagram of an automatic optimizing device for network routing cost value according to an embodiment of the present invention. As shown in fig. 4, the apparatus includes:
the acquisition module 101 is used for logging in the router equipment, acquiring cost values, outflow utilization rates, inflow values, inflow utilization rates and acquisition time of all uplink port, storing the values in a port flow table, and logging out;
the configuration module 102 is configured to count port traffic conditions of the network device at the latest time according to the collected index values, count port information of the network device at which traffic congestion occurs, compare the port outflow utilization rate with a preset port outflow congestion value, reconfigure the port cost value and store if the port outflow utilization rate exceeds the congestion value, and quit if the port outflow utilization rate exceeds the congestion value; wherein configuring the port cost value comprises:
acquiring a network equipment port with the most serious congestion, wherein the port cost value is maxC; acquiring the minimum cost value acquired last time by all downlink ports of the network equipment as minC; jump value step= (maxC-minC)/5, take integer value, if maxC-minC is less than 5, step=1;
the router device logs in the port, configures the port cost value as maxC+step, saves the configuration and exits the login.
It should be noted that although several modules of the network routing cost value automatic optimization apparatus are mentioned in the above detailed description, this division 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. 5, 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 method for automatically optimizing the network routing cost value when executing the computer program 230.
Based on the foregoing inventive concept, the present invention also proposes a computer-readable storage medium storing a computer program for executing the foregoing network routing cost value automatic optimization method.
The invention provides a method and a device for automatically optimizing a network routing cost value, which improve the network optimization efficiency of an IPRAN, judge the congestion degree of ports through a system, automatically adjust the cost priority of the relevant ports for the ports with congestion, namely the ports with the maximum flow out utilization rate, and adjust the forwarding priority of interface data packets, namely the forwarding priority of the interface data packets is adjusted on the basis of the original cost value.
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 (8)
1. A method for automatically optimizing a network routing cost value, the method comprising:
logging in router equipment, collecting cost values, outflow utilization rates, inflow values, inflow utilization rates and collecting time of all uplink port, storing the cost values, outflow utilization rates, inflow values, inflow utilization rates and collecting time in a port flow table, and logging out;
according to the acquired index value, counting port flow conditions of the network equipment in the last period, counting port information of network equipment in which congestion occurs in the flow, comparing the port outflow utilization rate with a preset port outflow congestion value, if the port outflow utilization rate exceeds the congestion value, reconfiguring the port cost value and storing the port cost value, otherwise, exiting;
configuring port cost values, comprising:
acquiring a network equipment port with the most serious congestion, wherein the port cost value is maxC; acquiring the minimum cost value acquired last time by all downlink ports of the network equipment as minC; jump value step= (maxC-minC)/5, take integer value, if maxC-minC is less than 5, step=1;
the router device logs in the port, configures the port cost value as maxC+step, saves the configuration and exits the login.
2. The automatic optimization method of network routing cost values according to claim 1, wherein the collection index value is used as a timing schedule, the timing schedule is configured, and a port congestion valve value table is preconfigured when the timing schedule is configured.
3. The method of claim 1, wherein the port flow table includes a router ID, a port number, a cost value, an outflow utilization, an inflow value, an inflow utilization, and an acquisition time.
4. An automatic optimizing device for network routing cost value, which is characterized in that the device comprises:
the acquisition module is used for logging in the router equipment, acquiring cost values, outflow utilization rates, inflow values, inflow utilization rates and acquisition time of all the uplink port, storing the cost values, outflow utilization rates, inflow utilization rates and acquisition time of all the uplink port into the port flow meter, and logging out;
the configuration module is used for counting port flow conditions of the network equipment in the last period of time according to the acquired index values, counting port information of the network equipment in which congestion occurs in the flow, comparing the port outflow utilization rate with a preset port outflow congestion valve value, if the port outflow utilization rate exceeds the congestion valve value, reconfiguring the port cost value and storing the port cost value, otherwise, exiting;
configuring port cost values, comprising:
acquiring a network equipment port with the most serious congestion, wherein the port cost value is maxC; acquiring the minimum cost value acquired last time by all downlink ports of the network equipment as minC; jump value step= (maxC-minC)/5, take integer value, if maxC-minC is less than 5, step=1;
the router device logs in the port, configures the port cost value as maxC+step, saves the configuration and exits the login.
5. The automatic network routing cost value optimizing apparatus according to claim 4, wherein the acquisition module is a timing scheduling module; the configuration module schedules the timing scheduling module, and when the timing scheduling is performed, a port congestion valve value table is pre-configured.
6. The automatic network routing cost value optimizing apparatus according to claim 4, wherein the port flow table includes a router ID, a port number, a cost value, an outflow utilization, an inflow value, an inflow utilization, and an acquisition time.
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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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103475579A (en) * | 2013-09-06 | 2013-12-25 | 杭州华三通信技术有限公司 | Method and device for optimizing and issuing LSAmetric |
| CN106411766A (en) * | 2016-09-30 | 2017-02-15 | 赛特斯信息科技股份有限公司 | Flow scheduling system and method based on SDN |
| CN107896192A (en) * | 2017-11-20 | 2018-04-10 | 电子科技大学 | The QoS control method of differentiated service priority in a kind of SDN |
| CN108259342A (en) * | 2018-03-09 | 2018-07-06 | 华洋通信科技股份有限公司 | A kind of network part congestion processing method based on ospf protocol |
| CN109756421A (en) * | 2019-01-23 | 2019-05-14 | 华南理工大学 | A kind of congestion control system and method based on OpenFlow technology |
Family Cites Families (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101022328B (en) * | 2007-03-26 | 2011-07-20 | 杭州华三通信技术有限公司 | Method for realizing redundant gateway path overhead dynamic regulation and gate way equipment |
| CN103312620A (en) * | 2013-06-26 | 2013-09-18 | 华为技术有限公司 | Method and device for processing network congestion |
| US9614766B2 (en) * | 2014-12-16 | 2017-04-04 | Cisco Technology, Inc. | System and method to analyze congestion in low latency network |
| CN104618256B (en) * | 2015-01-22 | 2018-07-10 | 盛科网络（苏州）有限公司 | The method that OSPF dynamics adjust link load |
| CN113612685B (en) * | 2018-06-29 | 2023-03-28 | 华为技术有限公司 | Network optimization method, system and network equipment |
-
2021
- 2021-06-17 CN CN202110671520.5A patent/CN113472661B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103475579A (en) * | 2013-09-06 | 2013-12-25 | 杭州华三通信技术有限公司 | Method and device for optimizing and issuing LSAmetric |
| CN106411766A (en) * | 2016-09-30 | 2017-02-15 | 赛特斯信息科技股份有限公司 | Flow scheduling system and method based on SDN |
| CN107896192A (en) * | 2017-11-20 | 2018-04-10 | 电子科技大学 | The QoS control method of differentiated service priority in a kind of SDN |
| CN108259342A (en) * | 2018-03-09 | 2018-07-06 | 华洋通信科技股份有限公司 | A kind of network part congestion processing method based on ospf protocol |
| CN109756421A (en) * | 2019-01-23 | 2019-05-14 | 华南理工大学 | A kind of congestion control system and method based on OpenFlow technology |
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