CN115086240B - Network traffic adjusting method, device and network system - Google Patents

Network traffic adjusting method, device and network system Download PDF

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Publication number
CN115086240B
CN115086240B CN202110271897.1A CN202110271897A CN115086240B CN 115086240 B CN115086240 B CN 115086240B CN 202110271897 A CN202110271897 A CN 202110271897A CN 115086240 B CN115086240 B CN 115086240B
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gateway
channels
target
network
channel
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CN115086240A (en
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顾祎赟
彭雨婷
姜雨涵
祝涵珂
周翔
任洁
何彬
傅杰
刘渊明
蔡永龙
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China Telecom Corp Ltd
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China Telecom Corp Ltd
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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
    • H04L47/24—Traffic characterised by specific attributes, e.g. priority or QoS
    • 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
    • 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

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The disclosure provides a network traffic adjustment method, a device and a network system. The network flow adjustment method comprises the following steps: responding to a gateway data reporting request, and acquiring network quality data of a plurality of channels of a plurality of gateways; determining a target gateway which accords with a preset optimization condition according to the network quality data of the channels; determining a flow forwarding adjustment scheme of the target gateway according to the network quality data of the channels connected with the target gateway; and sending the flow forwarding adjustment scheme to the target gateway so that the target gateway adjusts the flow forwarding logic for the channels according to the flow forwarding adjustment scheme. The embodiment of the disclosure can adjust the flow of each channel connected with the gateway in real time and optimize the network quality in time.

Description

Network traffic adjusting method, device and network system
Technical Field
The disclosure relates to the technical field of network communication, and in particular relates to a network traffic adjustment method, a network traffic adjustment device and a network system.
Background
With the development of internet technology, network communication is increasingly large, which provides extremely high challenges for the construction and maintenance of a network system. In the construction of a related network system, a server or other network control equipment is generally connected and communicated with a plurality of network terminal equipment through a plurality of channels, before communication is started, flow data packets corresponding to each channel are designed, and flow forwarding logic of a gateway to each channel is configured, so that mass flow data packets are distributed and processed. However, in the communication process, once one or several channels are blocked, or network communication quality of one or several channels is poor due to other reasons, network terminal devices connected with the channels are affected, and network quality cannot be repaired in time before restarting the network device. Therefore, there is a need for a network traffic adjustment method that can optimize network quality in real time.
It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present disclosure and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
An object of the present disclosure is to provide a network traffic adjustment method, apparatus and network system, which are used to overcome at least to some extent the problem of fluctuation in network transmission quality caused by limitations and drawbacks of the related art.
According to a first aspect of an embodiment of the present disclosure, there is provided a network traffic adjustment method, including: responding to a gateway data reporting request, and acquiring network quality data of a plurality of channels of a plurality of gateways; determining a target gateway which accords with a preset optimization condition according to the network quality data of the channels; determining a flow forwarding adjustment scheme of the target gateway according to the network quality data of the channels connected with the target gateway; and sending the flow forwarding adjustment scheme to the target gateway so that the target gateway adjusts the flow forwarding logic for the channels according to the flow forwarding adjustment scheme.
In an exemplary embodiment of the present disclosure, the determining, according to the network quality data of the plurality of channels, the target gateway that meets the preset optimization condition includes: determining a quality parameter of each channel in the gateway according to network quality data of a plurality of channels of the gateway, wherein the quality parameter is obtained at least according to the packet loss rate and the network delay of each channel; if one gateway is connected with a first type channel with the quality parameter smaller than a first preset value or a second type channel with the quality parameter larger than or equal to the first preset value and smaller than a second preset value exists, setting the gateway as a first type target gateway, wherein the first preset value is smaller than the second preset value; and if the first type channel or the second type channel does not exist in the channels connected by one gateway, but the difference between the maximum value and the minimum value of the quality parameters corresponding to the channels is larger than a third preset value, setting the gateway as a second type target gateway.
In an exemplary embodiment of the disclosure, the determining, according to network quality data of the plurality of channels connected by the target gateway, a traffic forwarding adjustment scheme of the target gateway includes: if the first type target gateway is connected with the first type channel, setting the channels except the first channel in the plurality of channels connected with the first type target gateway as available channels; if the first type target gateway is not connected with the first type channel but is connected with the second type channel, setting all the channels connected with the first type target gateway as available channels; setting all the multiple channels connected with the second type target gateway as available channels; and distributing the flow of the available channel corresponding to each target gateway according to a preset rule.
In an exemplary embodiment of the present disclosure, the allocating, according to a preset rule, traffic data of the available channel corresponding to each target gateway includes: determining a quality parameter proportion of the available channels of one target gateway connection; and determining the quantity proportion of the flow data packets corresponding to each available channel according to the quality parameter proportion.
In an exemplary embodiment of the present disclosure, the allocating, according to a preset rule, traffic data of the available channel corresponding to each target gateway includes: determining the quantity of flow data packets in unit time of a plurality of flow types corresponding to each available channel connected with one target gateway; and determining the flow type corresponding to each available channel according to the quantity of flow data packets in unit time of the flow types and the quality parameter of each available channel.
In an exemplary embodiment of the disclosure, the determining, according to network quality data of the plurality of channels connected by the target gateway, a traffic forwarding adjustment scheme of the target gateway includes: determining the number of first-type target gateways and second-type target gateways in a preset time length of a target cell; and setting all the gateways in the target cell as target gateways when the ratio of the number of the first type of target gateways to the number of the gateways in the target cell exceeds a fourth preset value or the ratio of the number of the second type of target gateways to the number of the gateways in the target cell exceeds a fifth preset value, and setting the same flow forwarding adjustment scheme for all the target gateways in the target cell.
According to a second aspect of embodiments of the present disclosure, there is provided a network system comprising: a server for executing the network traffic adjustment method according to any one of the above; the gateways are connected with the server and the channels and are used for uploading network quality data of the channels to the server and adjusting flow forwarding logic of the channels according to a flow forwarding adjustment scheme sent by the server; and each terminal device is connected with a plurality of channels and is used for receiving the flow data packet sent by the gateway through the channels and uploading the network quality data to the gateway through the channels.
According to a second aspect of the embodiments of the present disclosure, there is provided a network traffic adjustment device, including: the flow data acquisition module is used for responding to the gateway data reporting request and acquiring network quality data of a plurality of channels of a plurality of gateways; the target gateway screening module is used for determining target gateways which accord with preset optimization conditions according to the network quality data of the channels; the adjustment scheme determining module is used for determining a flow forwarding adjustment scheme of the target gateway according to network quality data of the plurality of channels connected with the target gateway; and the adjustment scheme issuing module is configured to send the flow forwarding adjustment scheme to the target gateway so that the target gateway adjusts the flow forwarding logic of the plurality of channels according to the flow forwarding adjustment scheme.
According to a third aspect of the present disclosure, there is provided an electronic device comprising: a memory; and a processor coupled to the memory, the processor configured to perform the method of any of the above based on instructions stored in the memory.
According to a fourth aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon a program which, when executed by a processor, implements a network traffic adjustment method as set forth in any one of the above.
According to the embodiment of the disclosure, the network quality data uploaded by the gateway is received in real time, the target gateway which accords with the preset optimization condition is determined according to the network quality data, the flow forwarding adjustment scheme is issued to the target gateway, the abnormality of each gateway channel in the network system can be monitored in time, and when one or some channels are abnormal, the flow forwarding logic is adjusted in time, so that the network quality is optimized in time, the network equipment is guaranteed to obtain high-quality network service, and the normal stability of the network system is guaranteed.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort.
Fig. 1 is a schematic diagram of a network system to which a network traffic adjustment method of an embodiment of the present disclosure may be applied.
Fig. 2 is a flowchart of a network traffic adjustment method in an exemplary embodiment of the present disclosure.
Fig. 3 is a sub-flowchart of step S2 in one embodiment of the present disclosure.
Fig. 4 is a sub-flowchart of step S3 in one embodiment of the present disclosure.
Fig. 5 is a sub-flowchart of step S34 in one embodiment of the present disclosure.
Fig. 6 is a sub-flowchart of step S34 in another embodiment of the present disclosure.
Fig. 7 is a sub-flowchart of step S3 in another embodiment of the present disclosure.
Fig. 8 is a schematic diagram of a connection relationship of a network system running a network traffic adjustment method in an application scenario of the present disclosure.
Fig. 9 is a flow chart of a network traffic adjustment method in the embodiment shown in fig. 8.
Fig. 10 is a block diagram of a network traffic regulating device in an exemplary embodiment of the present disclosure.
Fig. 11 is a block diagram of an electronic device in an exemplary embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the present disclosure. One skilled in the relevant art will recognize, however, that the aspects of the disclosure may be practiced without one or more of the specific details, or with other methods, components, devices, steps, etc. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.
Furthermore, the drawings are only schematic illustrations of the present disclosure, in which the same reference numerals denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.
The following describes example embodiments of the present disclosure in detail with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of a network system to which a network traffic adjustment method of an embodiment of the present disclosure may be applied.
Referring to fig. 1, a network system 100 may include:
A server 11 for executing the network traffic adjustment method of the embodiment of the present disclosure;
a plurality of gateways 12, connected to the server 11 and the plurality of channels 13, for uploading network quality data of the plurality of channels 13 to the server 11, and adjusting traffic forwarding logic for the plurality of channels 13 according to a traffic forwarding adjustment scheme sent by the server 11;
and the plurality of terminal devices 14, each terminal device 14 is connected with the plurality of channels 13, and is used for receiving the flow data packet sent by the gateway 12 through the channels 13 and uploading network quality data to the gateway 12 through the channels 13.
The server 11 shown in fig. 1 may be a local data center or a cloud server, and in some embodiments, the server 11 may also be a server cluster formed by a plurality of servers, and the type of the server 11 is not particularly limited in this disclosure.
In the disclosed embodiment, the gateway 12 is, for example, an SDN gateway. SDN (Software Defined Network ) is a novel network innovation architecture, which separates control plane management of network equipment from a basic data plane for forwarding network traffic, and the core technology OpenFlow realizes flexible control of the network traffic by separating a control plane and a data plane of the network equipment, so that the network becomes more intelligent as a pipeline.
Gateway 12 may be implemented by a device having routing functionality such as a firewall, router, three-layer switch, computer, some storage device, video conference terminal, voice gateway, etc. The terminal device 14 may be, for example, a notebook computer, a desktop computer, a tablet computer, a mobile phone, or other network terminals. The gateway 12 is connected to a plurality of terminal devices 14 via network devices including a channel 13. In some embodiments, channel 13 is directly connected to terminal device 14, and in other embodiments, channel 13 is connected to terminal device 14 through other network devices, as this disclosure is not limited in particular.
It will be appreciated that in the embodiment shown in fig. 1, the number of servers 11, gateways 12, channels 13, and terminal devices 14 is merely an example, and in other embodiments of the present disclosure, the number of servers 11, gateways 12, channels 13, and terminal devices 14 may be other numbers, which is not particularly limited in this disclosure.
Fig. 2 is a flowchart of a network traffic adjustment method in an exemplary embodiment of the present disclosure.
Referring to fig. 2, the network traffic adjustment method 200 may include:
step S1, responding to gateway data reporting requests, and acquiring network quality data of a plurality of channels of a plurality of gateways;
Step S2, determining a target gateway which accords with a preset optimization condition according to the network quality data of the channels;
Step S3, determining a flow forwarding adjustment scheme of the target gateway according to the network quality data of the channels connected with the target gateway;
And step S4, the flow forwarding adjustment scheme is sent to the target gateway, so that the target gateway adjusts the flow forwarding logic of the channels according to the flow forwarding adjustment scheme.
According to the embodiment of the disclosure, the network quality data uploaded by the gateway is received in real time, the target gateway which accords with the preset optimization condition is determined according to the network quality data, the flow forwarding adjustment scheme is issued to the target gateway, the abnormality of each gateway channel in the network system can be monitored in time, and when one or some channels are abnormal, the flow forwarding logic is adjusted in time, so that the network quality is optimized in time, the network equipment is guaranteed to obtain high-quality network service, and the normal stability of the network system is guaranteed.
Next, each step of the network traffic control method 100 will be described in detail.
In step S1, network quality data of a plurality of channels of a plurality of gateways are acquired in response to a gateway data reporting request.
In the network system 100 shown in fig. 1, it may be set that each gateway 12 reports network quality data to the server 11 at a timing.
The network quality data may be, for example, network delay, packet loss rate, etc. from the plurality of channels 13 connected to the gateway 12 to the server 11, and may be obtained by the gateway 12 according to feedback data of the terminal devices 14 connected to the channels 13. For example, the terminal device 14 may obtain a network delay according to the received timestamp of the data packet and the receiving time of the data packet, and further report the network delay to the gateway 12, where the gateway 12 records a network delay for the channel 13 according to the network delay reported by the terminal device 14 and the channel 13 where the terminal device 14 obtains the data packet. Further, when the network quality data is reported to the server 11 at a fixed timing, a plurality of network delay data of the channel 13 are fed back to the server 11. Similarly, the terminal device 14 may also learn about the packet loss according to the number of the received data packet, and then report the packet loss to the gateway 12, so that the gateway 12 learns and records the packet loss rate of the channel 13.
In other embodiments of the present disclosure, the network quality data of the channels may further include other kinds of data, for example, the kind of the data packet transmitted by each channel (obtained according to the packet header of the packet), the flow direction of the data packet transmitted by each channel, and so on, which can be set by those skilled in the art according to the actual situation.
In step S2, determining a target gateway according with a preset optimization condition according to the network quality data of the channels.
In the embodiment of the present disclosure, whether a channel with abnormal network quality exists in a plurality of channels (i.e. meets a preset optimization condition) may be determined according to network quality data of a plurality of channels connected to one gateway 12, and when it is determined that one gateway 12 is connected to at least one channel 13 with abnormal network quality, the gateway 12 is set as a target gateway that needs to optimize network quality.
Fig. 3 is a sub-flowchart of step S2 in one embodiment of the present disclosure.
Referring to fig. 3, in one embodiment, step S2 may include:
Step S21, determining a quality parameter of each channel in the gateway according to network quality data of a plurality of channels of the gateway, wherein the quality parameter is obtained at least according to the packet loss rate and the network delay of each channel;
Step S22, if a gateway is connected with a first type channel with the quality parameter smaller than a first preset value or a second type channel with the quality parameter larger than or equal to the first preset value and smaller than a second preset value exists, setting the gateway as a first type target gateway, wherein the first preset value is smaller than the second preset value;
Step S23, if the first type channel or the second type channel does not exist in the channels connected by one gateway, but a difference between a maximum value and a minimum value of the quality parameters corresponding to the channels is greater than a third preset value, setting the gateway as a second type target gateway.
In step S21, the quality parameter of each channel may be calculated using a unified preset function, for example, when the quality parameter F is derived from the network delay T and the packet loss rate L, it may be set that:
F＝f(T，L) (1)
Where f is a predetermined function, which may include, for example, an averaging formula, a weighted sum formula, and the like. For simple calculation, F can be set as a unidirectional decreasing function, namely, the longer the network delay T is, the higher the packet loss rate L is, and the smaller the quality parameter F is; the shorter the network delay T, the lower the packet loss rate L, and the larger the quality parameter F. In the embodiment of the disclosure, the preset function F is set to be a one-way decreasing function, and in other embodiments of the disclosure, a person skilled in the art may set the form of the preset function F by himself, so as to improve the efficiency of calculating the quality parameter F or facilitate subsequent calculation.
In step S22, in the embodiment of the present disclosure, the first type of channel may be referred to as an unavailable channel, and the second type of channel may be referred to as a channel with poor network quality. Because the actual conditions of the network systems are different, the first preset value for judging that the channel is unavailable and the second preset value for judging that the channel quality is poor can be set by a person skilled in the art according to working conditions, and the disclosure is not limited to this.
In one embodiment, the preset optimization condition may be, for example, that there is an unavailable channel or a channel with poor network quality in a channel connected by the gateway 12. At this time, the traffic forwarding logic of the gateway 12 for each channel needs to be re-planned, and the gateway is marked as a first type target gateway.
In step S23, in another embodiment, the preset optimization condition may be, for example, that there is no unavailable channel or a channel with poor network quality in a channel connected to one gateway 12, and each channel normally operates, but the quality parameters of the channels have a large difference (the difference between the maximum value and the minimum value is greater than the third preset value), so that load balancing needs to be performed on each channel in time in order to avoid the subsequent network quality problem, and at this time, the gateway may be marked as a second type of target gateway. The third preset value for determining that load balancing is needed may also be set by a person skilled in the art, which is not limited in this disclosure.
In step S3, a traffic forwarding adjustment scheme of the target gateway is determined according to network quality data of the multiple channels connected with the target gateway.
Fig. 4 is a sub-flowchart of step S3 in one embodiment of the present disclosure.
Referring to fig. 4, in one embodiment, step S3 may include:
Step S31, if the first type target gateway is connected with the first type channel, setting the channels except the first channel in the plurality of channels connected with the first type target gateway as available channels;
Step S32, if the first type target gateway is not connected with the first type channel but is connected with the second type channel, setting all the channels connected with the first type target gateway as available channels;
Step S33, setting all the multiple channels connected with the second type target gateway as available channels;
and step S34, distributing the flow of the available channel corresponding to each target gateway according to a preset rule.
In the embodiment shown in fig. 4, the available channels of the target gateway are first found, and then the traffic is reasonably distributed in the available channels. Since the first type channel is an unavailable channel, if one target gateway is connected with the first type channel, other channels except the first type channel are set as available channels; if one target gateway is not connected with the first type channel, the whole channels connected with the target gateway are set as available channels for traffic redistribution whether the target gateway is connected with a second type channel (first type target gateway) with poor network quality or the quality parameters of the channels connected with the target gateway are greatly different (second type target gateway).
There are a number of preset rules for traffic redistribution for available channels, and this disclosure is exemplified by the following several embodiments.
Fig. 5 is a sub-flowchart of step S34 in one embodiment of the present disclosure.
Referring to fig. 5, in one embodiment, step S34 may include:
step S341, determining the quality parameter proportion of the available channel connected with the target gateway;
and step S342, determining the quantity proportion of the flow data packets corresponding to each available channel according to the quality parameter proportion.
For example, if one target gateway is connected with A, B, C available channels, and the quality parameters of the three available channels are respectively 100, 90 and 30 (the values are only examples), the quality parameter ratio of the 3 available channels of A, B, C is 10:9:3.
Next, the probability of the target gateway distributing the flows to the A, B, C available channels is set to be 10:9:3, so that more flows are distributed to channels with good network quality, less flows are distributed to channels with poor network quality, and when the period of reporting the network quality data by the gateway 12 is shorter, flow adjustment can be performed in time, and the network communication quality of the network system 100 is optimized.
The traffic forwarding adjustment scheme set by the embodiment shown in fig. 5 may be issued to the gateway 12 in the form of forwarding logic, so that the gateway 12 determines the probability of forwarding the traffic packet for each available channel according to the number proportion.
Fig. 6 is a sub-flowchart of step S34 in another embodiment of the present disclosure.
Referring to fig. 6, in another embodiment, step S34 may include:
step S343, determining the quantity of flow data packets in unit time of a plurality of flow types corresponding to each available channel connected with the target gateway;
In step S344, the flow type corresponding to each available channel is determined according to the number of flow data packets in unit time of the plurality of flow types and the quality parameter of each available channel.
In some embodiments, since the network system 100 generally plans, prior to start-up, which channels are responsible for transmitting traffic packets of which traffic types, the traffic types and the number of traffic packets corresponding to the traffic types need to be considered when readjusting the traffic forwarding logic of each channel.
In the embodiment shown in fig. 6, if A, B, C of the three available channels are responsible for transmitting 6 traffic types, the quality parameters of the three available channels are respectively 100, 90, 30 (the numerical values are only examples), the number of the traffic data packets in unit time corresponding to the 6 traffic types a, B, C, d, e, f is respectively 70, 30, 80, 10, 20, 10 (the numerical values are only examples), the traffic data packets of the a and B types can be set to be transmitted by the a channel, the traffic data packets of the C and d types can be set to be transmitted by the B channel, and the traffic data packets of the e and f types can be set to be transmitted by the C channel, so that the channels with better network quality are responsible for transmitting the traffic types with larger number, and the channels with worse network quality are responsible for transmitting the traffic types with smaller number.
In some embodiments, different traffic types may have different transmission priorities, where the traffic data packet of the traffic type with higher transmission priority may be set to be transmitted by a channel with better network quality (with larger quality parameter), and the traffic data packet of the traffic type with lower transmission priority may be set to be transmitted by a channel with worse network quality (with smaller quality parameter), so as to timely ensure the transmission efficiency of the traffic data packet of the traffic type with higher transmission priority.
The traffic forwarding adjustment scheme generated by the embodiment shown in fig. 6 may be implemented by a traffic schedule flow table. The traffic schedule is similar to a routing table in that it is used to set the rules for matching traffic packets to channels so that the gateway 12 forwards specified traffic packets to specified channels according to the traffic schedule. Because the flow data packets can all judge the flow types through the preset identification in the packet header, the gateway 12 can be arranged in the flow scheduling flow table to forward the flow data packets corresponding to the flow types of which type to which channel so as to realize the adjustment of the flow forwarding logic and optimize the network quality.
The embodiments shown in fig. 5 and fig. 6 are only two examples of preset rules for traffic redistribution of available channels, and in other embodiments of the present disclosure, other preset rules may be set according to actual working conditions, which is not particularly limited in the present disclosure.
Fig. 7 is a sub-flowchart of step S3 in another embodiment of the present disclosure.
Referring to fig. 7, in another embodiment, step S3 may include:
Step S35, determining the number of first-type target gateways and second-type target gateways in a preset time period of a target cell;
Step S36, when the ratio of the number of the first type of target gateways to the number of gateways in the target cell exceeds a fourth preset value, or when the ratio of the number of the second type of target gateways to the number of gateways in the target cell exceeds a fifth preset value, setting all the gateways in the target cell as target gateways, and setting the same flow forwarding adjustment scheme for all the target gateways in the target cell.
In one embodiment, if it is found that the gateways exceeding the preset percentage in a cell have the same type of network quality problem, it is indicated that other gateways in the cell that have not reported network quality data may have the same network quality problem, and in order to improve the network quality improvement efficiency and timely prevent the network problem with higher occurrence probability, the flow forwarding logic adjustment may be directly performed on other gateways in the cell that have not reported network quality data.
In some embodiments, if the traffic forwarding adjustment schemes of the first type target gateway or the second type target gateway in one cell are the same (for example, among 10 gateways corresponding to the target cell, 3 gateways are the first type target gateways, and the traffic forwarding adjustment schemes corresponding to the three first type target gateways are all set to 10:9:3 for the traffic allocation probability of A, B, C channels), the same traffic forwarding adjustment scheme (set to 10:9:3 for the traffic allocation probability of A, B, C channels) may be directly issued to other gateways in the target cell.
The fourth preset value and the fifth preset value for judging that the same flow forwarding adjustment scheme is set for the target cell may be the same or different. In order to avoid that the influence of individual situations on the power forwarding adjustment scheme of the target cell is amplified, the fourth preset value and the fifth preset value may be set to be higher, for example, 60% or 70%, so as to correctly judge the occurrence probability of the network quality risk while improving the timeliness of the network quality optimization.
And in step S4, the flow forwarding adjustment scheme is sent to the target gateway, so that the target gateway adjusts the flow forwarding logic for the channels according to the flow forwarding adjustment scheme.
In the disclosed embodiment, implementation of the traffic forwarding adjustment scheme may be implemented by sending the traffic schedule to gateway 12.
Fig. 8 is a schematic diagram of a connection relationship of a network system running a network traffic adjustment method in an application scenario of the present disclosure.
Referring to fig. 8, an SDN gateway 81 is connected to the internet through a channel 1 and a channel 2, and an SDN gateway management module 82 is responsible for controlling operation of the SDN gateway 81. The SDN gateway management module 82 includes an SDN control unit 821, configured to issue a traffic schedule flow table to the SDN gateway 81. The SDN gateway 81 and the SDN gateway management module 82 are both in communication connection with the network quality analysis module 83, the SDN gateway 81 reports network quality data to the network quality analysis module 83, the network quality analysis module 83 determines whether the SDN gateway 81 is a target gateway according to the network quality data, if the SDN gateway 81 is determined to be the target gateway, the network quality analysis module 83 sends a flow adjustment scheme to the SDN gateway management module 82, the SDN gateway management module 82 generates a flow schedule according to the flow adjustment scheme, and the SDN gateway 81 is issued with the flow schedule through the SDN control unit 821. (i.e., the network quality analysis module 83 collects the network quality related data reported by the SDN gateway 81, analyzes the network quality of each channel of the SDN gateway 81, and gathers the analysis results.) the network quality analysis module 83 sends the related information of the SDN gateway 81 with improved quality to the SDN gateway management module 82.) the SDN gateway 81 adjusts the traffic distribution logic of each channel connected according to the traffic scheduling flow table, and improves the network quality in time.
In a normal working state, the SDN gateway 81 and the SDN gateway management module 82 realize long connection through an SDN gateway management channel. The SDN gateway 81 normally realizes connection between the down-hanging device and the internet through two internet surfing channels. The SDN gateway 81 reports network quality data of the gateway to the network quality analysis module 83 at regular time, and after receiving the flow schedule flow table sent by the SDN controller 821, performs flow forwarding according to the flow table rule, so as to achieve the purpose of optimizing the network quality of the down-hanging device.
In the embodiment shown in fig. 8, the SDN gateway management module 82 and the network quality analysis module 83 may be implemented by the server 11 in the network system 100 shown in fig. 1. It will be appreciated that, although only one SDN gateway 81 is shown in fig. 8, in practical applications, the information collected by the network quality analysis module 83 may include single gateway information or bulk gateway information, that is, the network quality analysis module 83 may connect a plurality of SDN gateways 81 (such as the network system 100 shown in fig. 1).
Fig. 9 is a flow chart of a network traffic adjustment method in the embodiment shown in fig. 8.
Referring to fig. 9, in step S91, the SDN gateway 81 establishes a surfing channel with the internet. The SDN gateway 81 establishes a surfing channel 1 and a surfing channel 2 according to configuration information issued by the SDN gateway management module 82. In one embodiment, pppoe channels may be used as the surfing channels 1 and ipoe as the surfing channels 2.
In step S92, the SDN gateway reports network quality data at regular time. The SDN gateway 81 reports the network quality data of the gateway according to the frequency negotiated with the network quality analysis module 83.
In step S93, the network quality analysis module 83 determines whether the SDN gateway 81 is a target gateway according to the network quality data, and if it is determined that the SDN gateway 81 is a target gateway, the network quality analysis module 83 determines a flow adjustment scheme of the SDN gateway 81. That is, the network quality analysis module 83 gathers the network quality related data collected at the SDN gateway 81, analyzes the network quality data provided by each gateway, and screens out target gateways whose network quality can be optimized.
In step S94, the network quality analysis module 83 transmits the traffic adjustment scheme to the SDN gateway management module 82. The network quality analysis module 83 feeds back information of the target gateway whose network quality can be optimized and the network quality analysis result and the suggested network optimization scheme (flow forwarding adjustment scheme) to the SDN gateway management module 82.
In step S95, the SDN gateway management module 82 issues a traffic schedule flow table to the SDN gateway 81. The SDN gateway management module 82 translates the received network optimization scheme into a traffic scheduling flow table, and issues the traffic scheduling flow table to the SDN gateway 81 through an SDN gateway management channel.
In step S96, the SDN gateway 81 adjusts the traffic distribution logic for each connected channel according to the traffic scheduling flow table, so as to optimize the network quality and achieve the effect of optimizing the network quality.
The embodiments shown in fig. 8 and fig. 9 monitor network quality of an SDN gateway, determine a flow forwarding adjustment scheme of each channel of the SDN gateway, rely on the flexible scheduling feature of the SDN technology and collect and analyze related data of network quality of the SDN gateway to study and judge network quality of the SDN gateway, and load balance or switch network channels of the SDN gateway, so that network quality can be optimized in time, high-quality network service can be ensured by using network devices through the SDN gateway, network surfing quality of users can be ensured, and normal stability of the network can be ensured.
In summary, according to the embodiment of the disclosure, by collecting and analyzing network quality data from the gateway in real time and adjusting the flow forwarding policy of the gateway in time, when one internet access channel is busy, another internet access channel can be used for shunting, or when one internet access channel is unavailable, all flows are led to the available channel, so that stable network quality of the gateway down-hanging device is ensured, and network resources are reasonably allocated.
Corresponding to the above method embodiments, the present disclosure further provides a network traffic adjustment device, which may be used to perform the above method embodiments.
Fig. 10 is a block diagram of a network traffic regulating device in an exemplary embodiment of the present disclosure.
Referring to fig. 10, the network traffic adjusting apparatus 1000 may include:
The flow data acquisition module 101 is configured to respond to a gateway data reporting request and acquire network quality data of a plurality of channels of a plurality of gateways;
The target gateway screening module 102 is configured to determine a target gateway meeting a preset optimization condition according to the network quality data of the multiple channels;
An adjustment scheme determining module 103 configured to determine a traffic forwarding adjustment scheme of the target gateway according to network quality data of the plurality of channels connected by the target gateway;
And the adjustment scheme issuing module 104 is configured to send the flow forwarding adjustment scheme to the target gateway, so that the target gateway adjusts the flow forwarding logic for the multiple channels according to the flow forwarding adjustment scheme.
In one exemplary embodiment of the present disclosure, the target gateway screening module 102 is configured to: determining a quality parameter of each channel in the gateway according to network quality data of a plurality of channels of the gateway, wherein the quality parameter is obtained at least according to the packet loss rate and the network delay of each channel; if one gateway is connected with a first type channel with the quality parameter smaller than a first preset value or a second type channel with the quality parameter larger than or equal to the first preset value and smaller than a second preset value exists, setting the gateway as a first type target gateway, wherein the first preset value is smaller than the second preset value; and if the first type channel or the second type channel does not exist in the channels connected by one gateway, but the difference between the maximum value and the minimum value of the quality parameters corresponding to the channels is larger than a third preset value, setting the gateway as a second type target gateway.
In one exemplary embodiment of the present disclosure, the adjustment scheme determination module 103 is configured to: if the first type target gateway is connected with the first type channel, setting the channels except the first channel in the plurality of channels connected with the first type target gateway as available channels; if the first type target gateway is not connected with the first type channel but is connected with the second type channel, setting all the channels connected with the first type target gateway as available channels; setting all the multiple channels connected with the second type target gateway as available channels; and distributing the flow of the available channel corresponding to each target gateway according to a preset rule.
In one exemplary embodiment of the present disclosure, the adjustment scheme determination module 103 is configured to: determining a quality parameter proportion of the available channels of one target gateway connection; and determining the quantity proportion of the flow data packets corresponding to each available channel according to the quality parameter proportion.
In one exemplary embodiment of the present disclosure, the adjustment scheme determination module 103 is configured to: determining the quantity of flow data packets in unit time of a plurality of flow types corresponding to each available channel connected with one target gateway; and determining the flow type corresponding to each available channel according to the quantity of flow data packets in unit time of the flow types and the quality parameter of each available channel.
In one exemplary embodiment of the present disclosure, the adjustment scheme determination module 103 is configured to: determining the number of first-type target gateways and second-type target gateways in a preset time length of a target cell; and setting all the gateways in the target cell as target gateways when the ratio of the number of the first type of target gateways to the number of the gateways in the target cell exceeds a fourth preset value or the ratio of the number of the second type of target gateways to the number of the gateways in the target cell exceeds a fifth preset value, and setting the same flow forwarding adjustment scheme for all the target gateways in the target cell.
Since each function of the apparatus 1000 is described in detail in the corresponding method embodiments, the disclosure is not repeated herein.
It should be noted that although in the above detailed description several modules or units of a device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit in accordance with embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into a plurality of modules or units to be embodied.
In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.
Those skilled in the art will appreciate that the various aspects of the invention may be implemented as a system, method, or program product. Accordingly, aspects of the invention may be embodied in the following forms, namely: an entirely hardware embodiment, an entirely software embodiment (including firmware, micro-code, etc.) or an embodiment combining hardware and software aspects may be referred to herein as a "circuit," module "or" system.
An electronic device 1100 according to this embodiment of the invention is described below with reference to fig. 11. The electronic device 1100 shown in fig. 11 is merely an example, and should not be construed as limiting the functionality and scope of use of embodiments of the present invention.
As shown in fig. 11, the electronic device 1100 is embodied in the form of a general purpose computing device. Components of electronic device 1100 may include, but are not limited to: the at least one processing unit 1110, the at least one memory unit 1120, a bus 1130 connecting the different system components, including the memory unit 1120 and the processing unit 1110.
Wherein the storage unit stores program code that is executable by the processing unit 1110 such that the processing unit 1110 performs steps according to various exemplary embodiments of the present invention described in the above-described "exemplary methods" section of the present specification. For example, the processing unit 1110 may perform the methods as shown in the embodiments of the present disclosure.
The storage unit 1120 may include a readable medium in the form of a volatile storage unit, such as a Random Access Memory (RAM) 11201 and/or a cache memory 11202, and may further include a Read Only Memory (ROM) 11203.
Storage unit 1120 may also include a program/utility 11204 having a set (at least one) of program modules 11205, such program modules 11205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each or some combination of which may include an implementation of a network environment.
The bus 1130 may be a local bus representing one or more of several types of bus structures, including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a bus using any of a variety of bus architectures.
The electronic device 1100 may also communicate with one or more external devices 1200 (e.g., keyboard, pointing device, bluetooth device, etc.), one or more devices that enable a user to interact with the electronic device 1100, and/or any devices (e.g., routers, modems, etc.) that enable the electronic device 1100 to communicate with one or more other computing devices. Such communication may occur through an input/output (I/O) interface 1150. Also, electronic device 1100 can communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 1160. As shown, network adapter 1160 communicates with other modules of electronic device 1100 via bus 1130. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 1100, including, but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, data backup storage systems, and the like.
From the above description of embodiments, those skilled in the art will readily appreciate that the example embodiments described herein may be implemented in software, or may be implemented in software in combination with the necessary hardware. Thus, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (may be a CD-ROM, a U-disk, a mobile hard disk, etc.) or on a network, including several instructions to cause a computing device (may be a personal computer, a server, a terminal device, or a network device, etc.) to perform the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, a computer-readable storage medium having stored thereon a program product capable of implementing the method described above in the present specification is also provided. In some possible embodiments, the various aspects of the invention may also be implemented in the form of a program product comprising program code for causing a terminal device to carry out the steps according to the various exemplary embodiments of the invention as described in the "exemplary methods" section of this specification, when said program product is run on the terminal device.
The program product for implementing the above-described method according to an embodiment of the present invention may employ a portable compact disc read-only memory (CD-ROM) and include program code, and may be run on a terminal device such as a personal computer. However, the program product of the present invention is not limited thereto, and in this document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, a hard disk, random Access Memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable signal medium may include a data signal propagated in baseband or as part of a carrier wave with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
Furthermore, the above-described drawings are only schematic illustrations of processes included in the method according to the exemplary embodiment of the present invention, and are not intended to be limiting. It will be readily appreciated that the processes shown in the above figures do not indicate or limit the temporal order of these processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, for example, among a plurality of modules.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any adaptations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

Claims (9)

1. A method for regulating network traffic, comprising:
responding to a gateway data reporting request, and acquiring network quality data of a plurality of channels of a plurality of gateways;
determining a target gateway which accords with a preset optimization condition according to the network quality data of the channels;
determining a flow forwarding adjustment scheme of the target gateway according to the network quality data of the channels connected with the target gateway;
transmitting the flow forwarding adjustment scheme to the target gateway, so that the target gateway adjusts the flow forwarding logic for the plurality of channels according to the flow forwarding adjustment scheme;
The determining, according to the network quality data of the multiple channels, the target gateway meeting the preset optimization condition includes:
determining a quality parameter of each channel in the gateway according to network quality data of a plurality of channels of the gateway, wherein the quality parameter is obtained at least according to the packet loss rate and the network delay of each channel;
If one gateway is connected with a first type channel with the quality parameter smaller than a first preset value or a second type channel with the quality parameter larger than or equal to the first preset value and smaller than a second preset value exists, setting the gateway as a first type target gateway, wherein the first preset value is smaller than the second preset value;
And if the first type channel or the second type channel does not exist in the channels connected by one gateway, but the difference between the maximum value and the minimum value of the quality parameters corresponding to the channels is larger than a third preset value, setting the gateway as a second type target gateway.
2. The network traffic conditioning method according to claim 1, wherein said determining a traffic forwarding conditioning scheme for the target gateway from network quality data for the plurality of channels to which the target gateway is connected includes:
If the first type target gateway is connected with the first type channel, setting the channels except the first type channel in the plurality of channels connected with the first type target gateway as available channels;
If the first type target gateway is not connected with the first type channel but is connected with the second type channel, setting all the channels connected with the first type target gateway as available channels;
setting all the multiple channels connected with the second type target gateway as available channels;
and distributing the flow of the available channel corresponding to each target gateway according to a preset rule.
3. The network traffic adjustment method according to claim 2, wherein the allocating traffic data of the available channel corresponding to each target gateway according to a preset rule includes:
determining a quality parameter proportion of the available channels of one target gateway connection;
And determining the quantity proportion of the flow data packets corresponding to each available channel according to the quality parameter proportion.
4. The network traffic adjustment method according to claim 2, wherein the allocating traffic data of the available channel corresponding to each target gateway according to a preset rule includes:
Determining the quantity of flow data packets in unit time of a plurality of flow types corresponding to each available channel connected with one target gateway;
And determining the flow type corresponding to each available channel according to the quantity of flow data packets in unit time of the flow types and the quality parameter of each available channel.
5. The network traffic conditioning method according to claim 1, wherein said determining a traffic forwarding conditioning scheme for the target gateway from network quality data for the plurality of channels to which the target gateway is connected includes:
determining the number of first-type target gateways and second-type target gateways in a preset time length of a target cell;
And setting all the gateways in the target cell as target gateways when the ratio of the number of the first type of target gateways to the number of the gateways in the target cell exceeds a fourth preset value or the ratio of the number of the second type of target gateways to the number of the gateways in the target cell exceeds a fifth preset value, and setting the same flow forwarding adjustment scheme for all the target gateways in the target cell.
6. A network system, comprising:
a server for executing the network traffic adjustment method according to any one of claims 1 to 5;
The gateways are connected with the server and the channels and are used for uploading network quality data of the channels to the server and adjusting flow forwarding logic of the channels according to a flow forwarding adjustment scheme sent by the server;
And each terminal device is connected with a plurality of channels and is used for receiving the flow data packet sent by the gateway through the channels and uploading the network quality data to the gateway through the channels.
7. A network traffic regulating apparatus, comprising:
The flow data acquisition module is used for responding to the gateway data reporting request and acquiring network quality data of a plurality of channels of a plurality of gateways;
The target gateway screening module is used for determining target gateways which accord with preset optimization conditions according to the network quality data of the channels;
The adjustment scheme determining module is used for determining a flow forwarding adjustment scheme of the target gateway according to network quality data of the plurality of channels connected with the target gateway;
The adjustment scheme issuing module is configured to send the flow forwarding adjustment scheme to the target gateway so that the target gateway adjusts flow forwarding logic for the plurality of channels according to the flow forwarding adjustment scheme;
Wherein, the target gateway screening module is set as:
determining a quality parameter of each channel in the gateway according to network quality data of a plurality of channels of the gateway, wherein the quality parameter is obtained at least according to the packet loss rate and the network delay of each channel;
If one gateway is connected with a first type channel with the quality parameter smaller than a first preset value or a second type channel with the quality parameter larger than or equal to the first preset value and smaller than a second preset value exists, setting the gateway as a first type target gateway, wherein the first preset value is smaller than the second preset value;
And if the first type channel or the second type channel does not exist in the channels connected by one gateway, but the difference between the maximum value and the minimum value of the quality parameters corresponding to the channels is larger than a third preset value, setting the gateway as a second type target gateway.
8. An electronic device, comprising:
A memory; and
A processor coupled to the memory, the processor configured to perform the network traffic adjustment method of any of claims 1-5 based on instructions stored in the memory.
9. A computer readable storage medium having stored thereon a program which when executed by a processor implements the network traffic adjustment method according to any of claims 1-5.
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