CN114598633B - Control method and device for high-efficiency transmission of large-scale routing signals - Google Patents

Control method and device for high-efficiency transmission of large-scale routing signals Download PDF

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CN114598633B
CN114598633B CN202210276483.2A CN202210276483A CN114598633B CN 114598633 B CN114598633 B CN 114598633B CN 202210276483 A CN202210276483 A CN 202210276483A CN 114598633 B CN114598633 B CN 114598633B
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router
data
address
routers
transmission
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CN114598633A (en
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万林
李艳琼
王启凡
曾宇航
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Sichuan Shangtou Information Technology Co ltd
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Sichuan Shangtou Information Technology Co ltd
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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
    • H04L45/02—Topology update or discovery
    • H04L45/021—Ensuring consistency of routing table updates, e.g. by using epoch numbers
    • 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
    • H04L45/54—Organization of routing tables
    • 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
    • H04L45/74—Address processing for routing
    • 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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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The invention provides a control method and a control device for high-efficiency transmission of large-scale routing signals, which comprises the steps that a first router samples transmission data of the first router within preset time to obtain transmission data samples corresponding to the first router; the first router counts the transmission data samples, obtains a target address of a preset value before data volume ranking as a hot address, and adds the hot address into a fast forwarding table of the first router; acquiring routers with the same access trend of target addresses; and forwarding each hot address to a router with the same access trend corresponding to each hot address. The corresponding hot target address is forwarded to other routers having the same access tendency for the hot target address. The invention can improve the transmission efficiency of the large-scale router.

Description

Control method and device for high-efficiency transmission of large-scale routing signals
Technical Field
The invention belongs to the technical field of network communication, and particularly relates to a control method and a control device for high-efficiency transmission of large routing signals.
Background
Chinese patent CN103067281A discloses a method for fast forwarding a router, which improves the transmission efficiency of the router by setting a fast forwarding table, but in this technical scheme, the arrival of an IP packet needs to be judged every time, and for a large-scale router, because the data packet comes from all directions, the number of different source addresses and destination addresses in the data packet is large, if according to the public thought, the data of a new address can be updated every time, the fast forwarding table is updated too frequently, thereby consuming too much computing resources, which is not beneficial to improving the efficiency of the router. Meanwhile, because the data packets are not discriminated, the fast forwarding table is updated too fast, the length of the forwarding table can expand rapidly for a large-scale router, main stream data in a network cannot be reflected accurately, and the overlong forwarding table causes a searching burden and cannot play a role in fast forwarding. In addition, the patent publication is limited to optimizing a single router and fails to consider the efficiency of the entire network.
Disclosure of Invention
The invention aims to improve the transmission efficiency of a large-scale router, solve the problems that a fast forwarding table in the router is updated too frequently and inaccurate and cannot optimize the whole network, provide a control method and a control device for high-efficiency transmission of large-scale routing signals, and improve the transmission efficiency of the large-scale router and the network.
According to an aspect of the present invention, there is provided a method for controlling efficient transmission of a large routing signal, comprising: the method comprises the steps that a first router samples transmission data of the first router within preset time to obtain a transmission data sample corresponding to the first router; the first router carries out statistics on the transmission data samples, obtains a target address of a preset value before data volume ranking as a hot address, and adds the hot address into a fast forwarding table of the first router; the first router obtains historical transmission data samples of the first router and other routers in a preset network; merging all historical transmission data samples, and classifying by target addresses to obtain target address historical data; determining routers used in data transmission according to the historical data of the target address, arranging the routers used in data transmission on a time axis according to time, traversing the time axis by a preset sliding time window, and determining the routers in the same time window as the routers with the same access trend of the target address; and the first router forwards each hot address to the router with the same access trend corresponding to each hot address.
Further, the sampling specifically is: and sampling the data of T2 seconds at T1 seconds intervals by taking the time T as a moving window.
Further, for a target address, the amount of data sampled must be greater than a predetermined threshold to be retained.
On the other hand, the invention also discloses a control device for high-efficiency transmission of large-scale routing signals, which is characterized by comprising the following modules: the system comprises a sample acquisition module, a data transmission module and a data transmission module, wherein the sample acquisition module is positioned in a first router and used for sampling transmission data of the first router within preset time to acquire a transmission data sample corresponding to the first router; the sample processing module is positioned on a first router and used for counting the transmission data samples by the first router, acquiring a target address of a preset value before data volume ranking as a hot address, and adding the hot address into a fast forwarding table of the first router; the determining module is positioned at the first router and used for obtaining historical transmission data samples of the first router and other routers in a preset network; merging all historical transmission data samples, and classifying by target addresses to obtain target address historical data; determining routers used in data transmission according to the historical data of the target address, arranging the routers used in data transmission on a time axis according to time, traversing the time axis by a preset sliding time window, and determining the routers in the same time window as the routers with the same access trend of the target address; and the forwarding module is positioned on the first router and used for forwarding each hot address to the router corresponding to each hot address and having the same access trend.
Further, the sampling specifically is: and sampling the data of T2 seconds at T1 seconds intervals by taking the time T as a moving window.
Further, for a target address, the amount of data sampled must be greater than a predetermined threshold to be retained.
In the technical scheme provided by the invention, the hot target address is extracted and stored in a fast forwarding table by sampling network data; only the hot address is stored in the fast forwarding table, so that the fast forwarding table is prevented from being updated too frequently; the hot address reflects mainstream data in the network, so that the quick forwarding table is more accurate; meanwhile, the hot address is forwarded to the router with the same access trend, so that other routers can react to the hot address more quickly, and the whole network is optimized.
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FIG. 1 is an example of data sampling;
FIG. 2 is an example of router statistics;
FIG. 3 is a diagram showing routers marked on a time axis;
fig. 4 is a diagram of a router using a sliding time window to determine the same access trend.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be described and illustrated below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application. All other embodiments obtained by a person of ordinary skill in the art without any inventive step based on the embodiments provided in the present application are within the protection scope of the present application
It is obvious that the drawings in the following description are only examples or embodiments of the application, and that it is also possible for a person skilled in the art to apply the application to other similar contexts on the basis of these drawings without inventive effort. Moreover, it should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions must be made to achieve the developers' specific goals, such as compliance with system-related and business-related constraints, which may vary from one implementation to another.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the specification. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of ordinary skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments without conflict.
Unless defined otherwise, technical or scientific terms referred to herein shall have the ordinary meaning as understood by those of ordinary skill in the art to which this application belongs. Reference to "a," "an," "the," and similar words throughout this application are not to be construed as limiting in number, and may refer to the singular or the plural. The present application is directed to the use of the terms "including," "comprising," "having," and any variations thereof, which are intended to cover non-exclusive inclusions; for example, a process, method, system, article, or apparatus that comprises a list of steps or modules (elements) is not limited to the listed steps or elements, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus. Reference to "connected," "coupled," and the like in this application is not intended to be limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. The term "plurality" as used herein means two or more. "and/or" describes an association relationship of associated objects, meaning that three relationships may exist, for example, "A and/or B" may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. Reference herein to the terms "first," "second," "third," and the like, are merely to distinguish similar objects and do not denote a particular ordering for the objects.
The embodiment provides a control method for high-efficiency transmission of large-scale routing signals, which comprises the following steps:
the first router samples transmission data of the first router within preset time to obtain a transmission data sample corresponding to the first router.
The invention can be applied to a plurality of routers, can control all routers in the area, can also be routers which are appointed by users and need to be optimized, and the specific number can be selected according to the needs of the users. The first router is for convenience of description only, and the first router in the present application may be equally replaced with other routers in the network.
Sampling refers to acquiring data within a certain range according to a certain frequency. In the present application, an implementation method of sampling within a preset time is to use time T as a moving window, as shown in fig. 1, data of T2 seconds is extracted every T1 seconds within the time window T, the time window moves continuously forward, and the data falling into the window is the acquired sampling data. The time window T and the times T1 and T2 may be set according to a specific application scenario, and the application is not limited in particular.
Further, for the convenience of data processing, the amount of data sampled for a target address must be greater than a second threshold to be retained. Because the target addresses in the network are numerous, most target addresses are accessed only occasionally, and the occasionally accessed addresses obviously cannot become hot addresses, so that the addresses can be removed as early as possible, and only the addresses with large access quantity, namely the addresses with large data quantity during sampling, are reserved.
Further, after the sampling data is obtained, for the convenience of statistics, the data is arranged according to the time of the sampling data, namely, time series data is formed. For more convenient data processing, the time series data are classified according to destination addresses, and for convenience of description, the data may be represented in a form of a statistical graph, as shown in fig. 2, taking three data as an example (i.e. three different destination addresses), in the graph, rectangular bars of three different stripes represent three different data, the height of the rectangular bars represents the number of each data, at this time, the number of data may be represented by the number of data packets, or may be represented by the size of the data, and in fig. 2, there are six samples on the time axis.
And the first router counts the transmission data samples, acquires a target address of a preset value before data volume ranking as a hot address, and adds the hot address into a fast forwarding table of the first router.
After the data is collected, the data in a time window may be counted according to the time window T, where the counting refers to counting the data amount of each target address in a summation manner, as shown in table 1, five times of sampling are performed in a time window, the number of the data packets at the target address a.b.c.d is 190, the number of the data packets at the target address e.f.g.h is 60, and the number of the data packets at the target address i.j.k.l is 35.
TABLE 1
Target address Sample No. 1 Sample 2 Sample 3 Sample 4 Sample 5 Total of
a.b.c.d 20 50 40 30 50 190
e.f.g.h 10 10 20 10 10 60
i.j.k.l 10 5 5 5 10 35
Assuming that the first threshold value is 2, that is, the target address of the 2 th highest rank of the data volume is obtained, the a.b.c.d and the e.f.g.h are selected target addresses, and since the data volume is ranked higher, the targets a.b.c.d and e.f.g.h are more active, and more data packets are sent to the two addresses, the two addresses can be added into the fast forwarding table of the corresponding router. The method for adding the fast forwarding table may specifically refer to CN103067281A, and certainly, may also refer to CN103067281A to set parameters such as aging, and CN103067281A may be fully introduced into the present invention as the prior art, and the specific content thereof is not described in detail herein.
The applicant has found that for different units of routers, data of the same destination address usually have a continuous relation in time. For example, the router a corresponds to a college a, for the college, events related to the campus are concerned, after a hot spot event occurs in a campus, the event is rapidly diffused in the college a, students in the same college visit the event website, and the target address visit amount is rapidly increased in the router a. As time goes on, the hot event slowly spreads to the colleges and universities B and C corresponding to the routers B and C, and the access amount of the corresponding destination address in the corresponding router rapidly increases. Of course, it is difficult for routers of different types of units to have similar trends, for example, if the router D belongs to an industrial area, users in the industrial area do not care about campus events, and routers in the industrial area do not have corresponding access trends.
In addition, similar access tendency phenomena exist in routers in different regions and different time zones, for example, the routers in two positions in different time zones are bright in the sky at an earlier time, a user accesses a website related to a hot event at the same day earlier, and then the user gets up to access the website of the same hot event at a later time, so that a large number of data packets are sent to the same address by the routers in two regions in sequence in terms of time.
In order to analyze the routers with the same access trend, the first router obtains historical transmission data samples of the first router and other routers in a preset network.
The router of the preset network in the invention refers to a router in an area which can be controlled by the same service provider, and is as small as a router in an organization, such as schools, factories and other areas, and as large as a router in a telecom operator in a certain city, even a router which can be controlled by a cross-country operator.
When the first router obtains the transmission data sample of the first router, the sample is stored, and the sample can be stored to a local server or a remote server; similarly, other routers in the default network can operate equivalently to the first router, and own transmission data samples are stored for subsequent analysis.
For convenience of analysis, merging all historical transmission data samples, and classifying by using a target address to obtain target address historical data; and determining routers used in data transmission according to the historical target address data, and arranging the routers used in data transmission on a time axis according to time.
The historical transmission data sample corresponding to each router comprises the identification of the router (namely, which router collects the data) and the time when each target address sends the data; merging historical transmission data samples of all routers, classifying the merged historical transmission data samples by using target addresses, and determining the router used for transmitting the data by including when each router transmits the data for each target address so as to mark the time point on a time axis when which router transmits the data of the address; taking fig. 3 as an example, for the first address, the router ABCDEF transmits the first address in sequence; more specifically, for example, at point 2, router a transmits the first address, at point 4, router B routes the first address, at point 5, router C transmits the first address, and at point 8, router D transmits the first address … …; similarly, for the second address, the router CACDAF transmits the second address in sequence.
As shown in fig. 4, after the destination address history data is arranged on the time axis, the arranged destination address history data is traversed by a preset time window, and the routers in the same time window are determined as the routers with the same access trend of the destination address. In the figure, a time window with a fixed size slides along a time axis, the arranged data is traversed, and when routers appear in the same sliding window, the routers in the sliding window are considered to have the same access trend for the address. Taking fig. 4 as an example, for a first address, router BC falls into a time window at the same time, which illustrates that in history, router C also transmits data of the first address at a preset time (the preset time is the size of the time window) after router B transmits data of the first address, and then routers B and C are likely to have a front-back association relationship; similarly, there is a relationship between E and F in the figure, and for address one, E and F can be determined as a group of routers with the same access trend.
The first router forwards each hot address to the router corresponding to the hot address and having the same access trend; and the routers with the same access trend add the received address into the fast forwarding table of the routers. If the first address is in the fast forwarding table of the router B, the router B can inform the router C of the first address, the router C stores the first address in the fast forwarding table of the router C in advance, and when a large number of first addresses are required to be routed subsequently, the router C can quickly respond; similarly, when router E determines the first address as the hot address, router E sends the first address to router F, which adds the first address to its fast forwarding table, since router F is a router with the same access tendency as router E for the first address. And forwarding the hot target address to other routers with the same access trend to improve the transmission efficiency of other routers, thereby improving the transmission efficiency of the whole network.
The second embodiment provides a control device for high-efficiency transmission of large-scale routing signals, which includes the following modules:
the system comprises a sample acquisition module, a data acquisition module and a data acquisition module, wherein the sample acquisition module is positioned in a first router and used for sampling transmission data of the first router within preset time to acquire a transmission data sample corresponding to the first router.
The invention can be applied to a plurality of routers, can control all routers in the area, can also be routers which are appointed by users and need to be optimized, and the specific number can be selected according to the needs of the users. The first router is for convenience only, and the first router in the present application may be equally replaced with other routers in the network.
Sampling refers to acquiring data within a certain range according to a certain frequency. In the present application, an implementation method of sampling within a preset time is to use time T as a moving window, as shown in fig. 1, data of T2 seconds is extracted every T1 seconds within the time window T, the time window moves continuously forward, and the data falling into the window is the acquired sampling data. The time window T and the times T1 and T2 may be set according to a specific application scenario, and the application is not particularly limited.
Further, for the convenience of data processing, the amount of data sampled for a target address must be greater than a second threshold to be retained. Because the target addresses in the network are various, most target addresses are accessed only occasionally, and the occasionally accessed addresses obviously cannot become hot addresses, the addresses can be removed as early as possible, and only the addresses with large access quantity, namely the addresses with large data quantity during sampling, are reserved.
Further, after the sampling data is obtained, for the convenience of statistics, the data is arranged according to the time of the sampling data, namely, time series data is formed. For more convenient data processing, the time series data are classified according to destination addresses, and for convenience of description, the data may be represented in a form of a statistical graph, as shown in fig. 2, taking three data as an example (i.e. three different destination addresses), in the graph, rectangular bars of three different stripes represent three different data, the height of the rectangular bars represents the number of each data, at this time, the number of data may be represented by the number of data packets, or may be represented by the size of the data, and in fig. 2, there are six samples on the time axis.
The sample processing module is positioned on a first router and used for counting the transmission data samples by the first router, acquiring a target address of a preset value before data volume ranking as a hot address, and adding the hot address into a fast forwarding table of the first router;
after the data is collected, the data in a time window may be counted according to the time window T, where the counting refers to counting the data amount of each target address in a summation manner, as shown in table 1, five times of sampling are performed in a time window, the number of the data packets at the target address a.b.c.d is 190, the number of the data packets at the target address e.f.g.h is 60, and the number of the data packets at the target address i.j.k.l is 35.
TABLE 1
Target address Sample No. 1 Sample 2 Sample 3 Sample 4 Sample 5 Total of
a.b.c.d 20 50 40 30 50 190
e.f.g.h 10 10 20 10 10 60
i.j.k.l 10 5 5 5 10 35
Assuming that the first threshold value is 2, that is, the target address of the 2 th highest rank of the data volume is obtained, the a.b.c.d and the e.f.g.h are selected target addresses, and since the data volume is ranked higher, the targets a.b.c.d and e.f.g.h are more active, and more data packets are sent to the two addresses, the two addresses can be added into the fast forwarding table of the corresponding router. The method for adding the fast forwarding table may specifically refer to CN103067281A, and certainly, may also refer to CN103067281A to set parameters such as aging, and CN103067281A may be fully introduced into the present invention as the prior art, and the specific content thereof is not described in detail herein.
The applicant has found that for different units of routers, data of the same destination address usually have a continuous relation in time. For example, the router a corresponds to a college a, for the college, events related to the campus are concerned, after a hot spot event occurs in a campus, the event is rapidly diffused in the college a, students in the same college visit the event website, and the target address visit amount is rapidly increased in the router a. As time goes on, the hot event slowly spreads to the colleges and universities B and C corresponding to the routers B and C, and the access amount of the corresponding destination address in the corresponding router rapidly increases. Of course, it is difficult for routers of different types of units to have similar trends, for example, if the router D belongs to an industrial area, users in the industrial area do not care about campus events, and routers in the industrial area do not have corresponding access trends.
In addition, similar access tendency phenomena also exist in routers in different areas and different time zones, for example, routers in two positions in different time zones are bright in early time, a user accesses a website related to a hot event in the same day early, and then the user gets up to access the website of the same hot event in later time, so that a large number of data packets are sent to the same address by the routers in the two areas in sequence in time.
And the determining module is positioned at the first router and used for acquiring historical transmission data samples of the first router and other routers in a preset network.
The router of the preset network in the invention refers to a router in an area which can be controlled by the same service provider, and is as small as a router in an organization, such as schools, factories and other areas, and as large as a router in a telecom operator in a certain city, even a router which can be controlled by a cross-country operator.
When the first router obtains the transmission data sample of the first router, the sample is stored, and the sample can be stored to a local server or a remote server; similarly, other routers in the default network can operate equivalently to the first router, and own transmission data samples are stored for subsequent analysis.
For convenient analysis, all historical transmission data samples are combined, and target address historical data are obtained by classifying target addresses; determining a router used when data is transmitted according to the historical target address data, and arranging the router used when the data is transmitted on a time axis according to time
The historical transmission data sample corresponding to each router comprises the identification of the router (namely, which router collects the data) and the time when each target address sends the data; after the historical transmission data samples of all routers are combined and classified by the target addresses, the data transmitted by each router at the time point can be marked on a time axis by the router which transmits the data of the address at the time point for each target address, so that the router used when the data is transmitted is determined; taking fig. 3 as an example, for the first address, the router ABCDEF transmits the first address in sequence; more specifically, for example, at point 2, router a transmits a first address, at point 4, router B routes the first address, at point 5, router C transmits the first address, and at point 8, router D transmits the first address … …; similarly, for the second address, the router CACDAF transmits the second address in sequence.
As shown in fig. 4, after the historical target address data are arranged on the time axis, the arranged historical target address data are traversed in a preset time window, and the routers in the same time window are determined as the routers with the same access trend in the target address. In the figure, a time window with a fixed size slides along a time axis, the arranged data is traversed, and when routers appear in the same sliding window, the routers in the sliding window are considered to have the same access trend for the address. Taking fig. 4 as an example, for the first address, the router BC falls into the time window at the same time, which illustrates that in history, after the router B transmits the data of the first address, the router C also transmits the data of the first address at a preset time (the preset time is the size of the time window), and then the routers B and C are likely to have a front-back association relationship.
And the forwarding module is positioned on the first router and used for forwarding each hot address to the router corresponding to each hot address and having the same access trend. If the first address is in the fast forwarding table of the router B, the router B may notify the router C of the first address, and the router C stores the first address in its fast forwarding table in advance, so that the router C may respond quickly when a large number of first addresses need to be routed subsequently. And forwarding the hot target address to other routers with the same access trend to improve the transmission efficiency of other routers, thereby improving the transmission efficiency of the whole network.
In this application, the term "plurality" means two or more unless explicitly defined otherwise. The terms "mounted," "connected," "fixed," and the like are to be construed broadly, and for example, "connected" may be a fixed connection, a removable connection, or an integral connection; "coupled" may be direct or indirect through an intermediary. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
In the description herein, the description of the terms "one embodiment," "some embodiments," "specific embodiments," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the application. In this specification, the schematic representations of the terms used above do not necessarily refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The above description is only a preferred embodiment of the present application and is not intended to limit the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims (6)

1. A control method for high-efficiency transmission of large-scale routing signals is characterized in that:
the method comprises the steps that a first router samples transmission data of the first router within preset time to obtain a transmission data sample corresponding to the first router;
the first router counts the transmission data samples, obtains a target address of a preset value before data volume ranking as a hot address, and adds the hot address into a fast forwarding table of the first router;
the first router obtains historical transmission data samples of the first router and other routers in a preset network; merging all historical transmission data samples, and classifying by target addresses to obtain target address historical data; determining routers used in data transmission according to the historical data of the target address, arranging the routers used in data transmission on a time axis according to time, traversing the time axis by a preset sliding time window, and determining the routers in the same time window as the routers with the same access trend of the target address;
the first router forwards each hot address to a router which corresponds to each hot address and has the same access trend; and the routers with the same access trend add the received address into the fast forwarding table of the routers.
2. The method of claim 1, wherein the method further comprises the steps of:
the sampling specifically comprises the following steps: data is extracted at T2 seconds every interval of T1 seconds during time T.
3. The method of claim 1, wherein the method further comprises the steps of:
for a target address, the amount of data sampled must be greater than a predetermined threshold to be retained.
4. A control device for high-efficiency transmission of large-scale routing signals is characterized by comprising the following modules:
the system comprises a sample acquisition module, a data transmission module and a data transmission module, wherein the sample acquisition module is positioned in a first router and used for sampling transmission data of the first router within preset time to acquire a transmission data sample corresponding to the first router;
the sample processing module is positioned on a first router and used for counting the transmission data samples by the first router, acquiring a target address of a preset value before data volume ranking as a hot address, and adding the hot address into a fast forwarding table of the first router;
the determining module is positioned at the first router and used for obtaining historical transmission data samples of the first router and other routers in a preset network; merging all historical transmission data samples, and classifying by target addresses to obtain target address historical data; determining routers used in data transmission according to the historical data of the target address, arranging the routers used in data transmission on a time axis according to time, traversing the time axis by a preset sliding time window, and determining the routers in the same time window as the routers with the same access trend of the target address;
the forwarding module is positioned on the first router and used for forwarding each hot address to the router corresponding to each hot address and having the same access trend; and the routers with the same access trend add the received address into the fast forwarding table of the routers.
5. The apparatus for controlling the efficient transmission of a macro routing signal according to claim 4, wherein:
the sampling is specifically as follows: data is extracted at T2 seconds every interval of T1 seconds during time T.
6. The apparatus for controlling the efficient transmission of a macro routing signal according to claim 4, wherein:
for a target address, the sampled data size must be greater than a predetermined threshold to be retained.
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