CN107509230B - Route optimization method and router - Google Patents

Route optimization method and router Download PDF

Info

Publication number
CN107509230B
CN107509230B CN201710874746.9A CN201710874746A CN107509230B CN 107509230 B CN107509230 B CN 107509230B CN 201710874746 A CN201710874746 A CN 201710874746A CN 107509230 B CN107509230 B CN 107509230B
Authority
CN
China
Prior art keywords
optimization
analysis
analysis result
information
data communication
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN201710874746.9A
Other languages
Chinese (zh)
Other versions
CN107509230A (en
Inventor
王智明
毋涛
贾智宇
卢莹
刘畅
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China United Network Communications Group Co Ltd
Original Assignee
China United Network Communications Group Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China United Network Communications Group Co Ltd filed Critical China United Network Communications Group Co Ltd
Priority to CN201710874746.9A priority Critical patent/CN107509230B/en
Publication of CN107509230A publication Critical patent/CN107509230A/en
Application granted granted Critical
Publication of CN107509230B publication Critical patent/CN107509230B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W40/00Communication routing or communication path finding
    • H04W40/02Communication route or path selection, e.g. power-based or shortest path routing
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W40/00Communication routing or communication path finding
    • H04W40/02Communication route or path selection, e.g. power-based or shortest path routing
    • H04W40/12Communication route or path selection, e.g. power-based or shortest path routing based on transmission quality or channel quality
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W40/00Communication routing or communication path finding
    • H04W40/02Communication route or path selection, e.g. power-based or shortest path routing
    • H04W40/12Communication route or path selection, e.g. power-based or shortest path routing based on transmission quality or channel quality
    • H04W40/14Communication route or path selection, e.g. power-based or shortest path routing based on transmission quality or channel quality based on stability
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition

Abstract

The invention provides a route optimization method and a router, wherein the method comprises the following steps: obtaining optimization information of a plurality of servers of an EPC core network; when an optimization request initiated according to a data communication request sent by a mobile terminal is received, analyzing according to an analysis model and optimization information to obtain an analysis result; and implementing route optimization according to the analysis result, wherein the route optimization is used for optimizing the network bearing performance of data communication between the mobile terminal and the server of the EPC core network. The route optimization method provided by the invention has the advantages of short time delay, high throughput rate and low packet loss rate, thereby improving the network bearing performance of data communication between the mobile terminal and the server of the EPC core network.

Description

Route optimization method and router
Technical Field
The present invention relates to the field of communications technologies, and in particular, to a route optimization method and a router.
Background
The EPC (Evolved Packet Core, Evolved Core Packet network, hereinafter referred to as EPC Core network) is used as a Core network of a 4G mobile communication network, and has conventional capabilities of a mobile network such as user subscription data storage, mobility management, and data exchange. In addition, a flat network model conforming to 4G high-speed data transmission is added, and high-speed data message exchange is met.
At present, in order to realize flexible resource scheduling and fast online service, the concepts of NFV (network functions virtualization) and SDN (software defined network) can well conform to the new requirements of an EPC core network.
However, with the rapid growth of SDN and NFV application services, the problems of time delay, low throughput rate, high packet loss rate, and the like of the telecommunication gateway routing are increasingly highlighted. Therefore, a routing optimization method is needed at present, so that the application system has the advantages of short time delay, high throughput rate and low packet loss rate.
Disclosure of Invention
The invention aims to solve at least one of the technical problems in the prior art, and provides a route optimization method and a router, which have the advantages of short time delay, high throughput rate and low packet loss rate, so that the network bearing performance of data communication between a mobile terminal and a server of an EPC core network can be improved.
To achieve the object of the present invention, a route optimization method is provided, which includes:
obtaining optimization information of a plurality of servers of an EPC core network;
when an optimization request initiated according to a data communication request sent by a mobile terminal is received, analyzing according to an analysis model and the optimization information to obtain an analysis result;
and implementing route optimization according to the analysis result, wherein the route optimization is used for optimizing the network bearing performance of data communication between the mobile terminal and the server of the EPC core network.
Specifically, when receiving an optimization request initiated according to a data communication request sent by a mobile terminal, analyzing according to an analysis model and the optimization information, and obtaining an analysis result includes:
setting iteration initial parameters;
analyzing according to an analysis model and the optimization information to obtain an analysis result;
judging whether the analysis result meets an analysis evaluation condition, if so, performing route optimization according to the analysis result, wherein the route optimization is used for optimizing the network bearing performance of data communication between the mobile terminal and a server of the EPC core network; if not, the following steps are carried out:
adding 1 to the current iteration times;
performing secondary analysis according to the optimization function and the optimization information to obtain an analysis result;
judging whether the current iteration times are larger than a preset maximum iteration time, if so, performing route optimization according to the analysis result, wherein the route optimization is used for optimizing the network bearing performance of data communication between the mobile terminal and a server of the EPC core network; if not, returning to judge whether the analysis result meets the analysis evaluation condition.
Specifically, the analysis model is a model matrix as follows:
Figure GDA0002929764680000021
wherein M is an information vector; and the information vector of the ith row and the jth column represents the time delay, the throughput rate and the packet loss rate of a link from the source inode to the target j node.
Specifically, the information vector of the ith row and the jth column satisfies the following formula:
Figure GDA0002929764680000022
wherein M isij kAn information vector of the ith row and the jth column;
Figure GDA0002929764680000023
and
Figure GDA0002929764680000024
respectively the time delay, the reciprocal of the throughput rate and the packet loss rate; k is the current iteration number k.
Specifically, the analysis evaluation condition includes the following evaluation functions:
Figure GDA0002929764680000031
wherein the content of the first and second substances,
Figure GDA0002929764680000032
i 1,2,. m; j ═ 1,2,. n; k is 1,2,. d; k is less than or equal to d, and d is the maximum iteration number;
Figure GDA0002929764680000037
ξ and θ are respectively the time delay, the reciprocal of the throughput rate and the adjustment factor of the packet loss rate.
Specifically, the optimization function is:
Figure GDA0002929764680000033
wherein, MinZkRepresents the optimal optimized value;
Figure GDA0002929764680000034
Figure GDA0002929764680000035
Figure GDA0002929764680000036
Figure GDA0002929764680000038
ξ、θ∈(0,1);τij αis heuristic information; etaij βThe concentration of the enlightening pheromone of the link from the source node i to the target node j is determined;
Figure GDA0002929764680000039
a 3-order open cube origin absolute moment information vector for the (k + 1) th iteration; a. theGk、FGkAnd DGkAnd respectively obtaining global historical optimal routing node information vectors of k iterations including the previous k iterations of the current iteration in the k iterations.
Specifically, when receiving an optimization request initiated according to a data communication request sent by a mobile terminal, analyzing according to an analysis model and the optimization information to obtain an analysis result, including:
summarizing all the optimization requests by adopting an active reporting and regular queried mode at each interval preset time;
and analyzing according to the analysis model and the optimization information corresponding to each optimization request to obtain an analysis result, and summarizing.
As another technical solution, the present invention further provides a router, including an access unit of an EPC core network, where the access unit of the EPC core network includes:
the system comprises an acquisition module, a processing module and a processing module, wherein the acquisition module is used for acquiring optimization information of a plurality of servers of an EPC core network;
the analysis module is used for analyzing according to an analysis model and the optimization information when receiving an optimization request initiated according to a data communication request sent by the mobile terminal to obtain an analysis result;
and the optimization module is used for implementing route optimization according to the analysis result, and the route optimization is used for optimizing the network bearing performance of data communication between the mobile terminal and the server of the EPC core network.
Specifically, the analysis module includes:
the analysis submodule is used for analyzing according to an analysis model and the optimization information to obtain an analysis result; performing secondary analysis according to the analysis model and the optimization information to obtain an analysis result;
the iteration submodule is used for setting an iteration initial parameter;
a judgment submodule for judging whether the analysis result satisfies an analysis evaluation condition,
if so, sending a signal to the optimization module, and optimizing the network bearing performance of data communication between the mobile terminal and the server of the EPC core network by the optimization module according to the signal;
if not, sending a signal to the iteration submodule, and adding 1 to the current iteration number by the iteration submodule according to the signal; sending a signal to the analysis submodule, and carrying out secondary analysis by the analysis submodule according to the signal and the optimization function and the optimization information to obtain an analysis result; the judging submodule is also used for judging whether the current iteration times are larger than the preset maximum iteration times, if so, a signal is sent to the optimizing module, and the optimizing module implements route optimization according to the signal and the analysis result; if not, whether the analysis result meets the analysis evaluation condition is judged again.
Specifically, the mobile terminal sends the data communication request to the palmtop base station through a base station signal; the palm base station sends the data communication request to a palm gateway through a VPN tunnel; and the palm gateway sends the data communication request to the analysis module through a network.
The invention has the following beneficial effects:
in the technical scheme of the route optimization method and the router provided by the invention, the optimization information of a plurality of servers of an EPC core network is obtained; when an optimization request initiated according to a data communication request sent by a mobile terminal is received, analyzing according to an analysis model and optimization information to obtain an analysis result; and carrying out route optimization according to the analysis result, wherein the route optimization is used for optimizing the network bearing performance of data communication between the mobile terminal and the server of the EPC core network, and has short time delay, high throughput rate and low packet loss rate.
Drawings
Fig. 1 is a flow chart of a route optimization method according to an embodiment of the present invention;
FIG. 2 is a diagram of an analysis process of multiple optimization requests;
FIG. 3 is a block diagram of the flowchart of step S2 according to the embodiment of the present invention;
fig. 4 is a schematic block diagram of a router according to an embodiment of the present invention;
fig. 5 is a diagram of a connection structure between a router and a mobile terminal according to an embodiment of the present invention.
Detailed Description
In order to make those skilled in the art better understand the technical solution of the present invention, the following describes the route optimization method and the router provided by the present invention in detail with reference to the accompanying drawings.
Referring to fig. 1, the present invention provides a method for optimizing a route, including:
s1, obtaining the optimization information of a plurality of servers of the EPC core network.
The server is used for data communication with the mobile terminal. The optimization information refers to relevant information required for performing optimization analysis, and preferably includes time delay, throughput rate, packet loss rate, and the like. Where latency refers to the time required for a message or packet to travel from one end of a network to another. Throughput rate is originally the average rate at which data is successfully delivered by a node per unit time. The packet loss rate is the ratio of the number of lost packets to the number of transmitted packets. The network bearing performance is better if the time delay is short, the throughput rate is high and the packet loss rate is low.
And S2, when receiving an optimization request initiated according to the data communication request sent by the mobile terminal, analyzing according to the analysis model and the optimization information to obtain an analysis result.
And when the data communication request is sent by the mobile terminal, performing optimization analysis in a mode of initiating an optimization request. The analysis strategy adopted by the analysis model can adopt a simulated biological iteration optimization method and carry out analysis based on methods such as multi-objective, game theory, graph theory, statistics and the like.
And S3, according to the analysis result, implementing route optimization, wherein the route optimization is used for optimizing the network bearing performance of data communication between the mobile terminal and the server of the EPC core network.
The route optimization method provided by the invention has the advantages of short time delay, high throughput rate and low packet loss rate, thereby improving the network bearing performance of data communication between the mobile terminal and the server of the EPC core network.
Specifically, referring to fig. 2, the number of optimization requests initiated according to the data communication request sent by the mobile terminal may be 1, 2. In the step S2, each optimization request is analyzed independently, and the analysis results 1, 2. In addition, all optimization requests can be summarized in a mode of active reporting and periodic inquiry at each interval of preset time; and analyzing according to the analysis model and the optimization information corresponding to each optimization request to obtain an analysis result, and summarizing. That is, for a plurality of initiated optimization requests, active reporting or periodical summarization can be performed; and analysis results corresponding to a plurality of optimization requests also need to be summarized.
Referring to fig. 3, the step S2 further includes:
and S21, setting iteration initial parameters.
The iteration initial parameters include an initial iteration parameter (of 1) and a maximum iteration parameter, which may be 50.
S22, analyzing according to the analysis model and the optimization information to obtain an analysis result;
s23, determining whether the analysis result satisfies the analysis evaluation condition, if yes, performing the step S3; if not, the following step S24 is performed:
s24, adding 1 to the current iteration number;
s25, carrying out secondary analysis according to the optimization function and the optimization information to obtain an analysis result;
s26, judging whether the current iteration number is larger than the preset maximum iteration number, if so, performing the step S3; if not, the process returns to step S23.
The analysis model may be specifically a model matrix as follows:
Figure GDA0002929764680000061
wherein M is an information vector; and an information vector in the ith row and the jth column (i belongs to V, j belongs to V) represents the time delay, the throughput rate and the packet loss rate of a link from the source inode to the target j node.
Further, the information in the ith row and the jth column satisfies the following formula:
Figure GDA0002929764680000071
wherein M isij kAn information vector of the ith row and the jth column;
Figure GDA0002929764680000072
and
Figure GDA0002929764680000073
respectively time delay, reciprocal of throughput rate and packet loss rate; k is the current iteration number k, k 1, 2.
Further, the analysis evaluation condition includes the following evaluation functions:
Figure GDA0002929764680000074
wherein the content of the first and second substances,
Figure GDA0002929764680000075
whether the inequality of equation 2 is established is determined by substituting equations 1 and 3 into equation 2. Wherein i is 1,2,. m; j ═ 1,2,. n; k is 1,2,. d; k is less than or equal to d, and d is the maximum iteration number;
Figure GDA0002929764680000076
ξ and θ are respectively the time delay, the reciprocal of the throughput rate and the adjustment factor of the packet loss rate.
Further, the optimization function is:
Figure GDA0002929764680000077
Figure GDA0002929764680000078
Figure GDA0002929764680000079
Figure GDA00029297646800000710
wherein, MinZkRepresents the optimal optimized value; calculated by substituting equations 6 and 7 for equation 5
Figure GDA00029297646800000711
Figure GDA00029297646800000712
Will be provided with
Figure GDA00029297646800000713
And
Figure GDA00029297646800000714
calculating to obtain MinZ by substituting formula 4k
Figure GDA00029297646800000715
ξ、θ∈(0,1);τij αIs heuristic information; etaij βThe concentration of the enlightening pheromone of the link from the source node i to the target node j is determined;
Figure GDA00029297646800000716
a 3-order open cube origin absolute moment information vector for the (k + 1) th iteration; a. theGk、FGkAnd DGkAnd respectively obtaining global historical optimal routing node information vectors of k iterations including the previous k iterations of the current iteration in the k iterations.
In summary, in the route optimization method provided by the present invention, optimization information of a plurality of servers of an EPC core network is obtained; when an optimization request initiated according to a data communication request sent by a mobile terminal is received, analyzing according to an analysis model and optimization information to obtain an analysis result; and carrying out route optimization according to the analysis result, wherein the route optimization is used for optimizing the network bearing performance of data communication between the mobile terminal and the server of the EPC core network, and has short time delay, high throughput rate and low packet loss rate.
As another technical solution, please refer to fig. 4, the present invention further provides a router, which includes an access unit 1 of an EPC core network, where the access unit 1 of the EPC core network includes:
an obtaining module 11, configured to obtain optimization information of multiple servers of an EPC core network;
the analysis module 12 is configured to, when receiving an optimization request initiated according to a data communication request sent by a mobile terminal, perform analysis according to an analysis model and the optimization information to obtain an analysis result;
and an optimizing module 13, configured to implement route optimization according to the analysis result, where the route optimization is used to optimize network bearer performance of data communication between the mobile terminal and a server of the EPC core network.
The router provided by the invention has the advantages of short time delay, high throughput rate and low packet loss rate, so that the network bearing performance of data communication between the mobile terminal and the server of the EPC core network can be improved.
Further, the analysis module 12 includes:
the analysis submodule is used for analyzing according to the analysis model and the optimization information to obtain an analysis result; performing secondary analysis according to the analysis model and the optimization information to obtain an analysis result;
the iteration submodule is used for setting an iteration initial parameter;
a judgment submodule for judging whether the analysis result satisfies the analysis evaluation condition,
if so, sending a signal to an optimization module, and optimizing the network bearing performance of data communication between the mobile terminal and a server of the EPC core network by the optimization module according to the signal;
if not, sending a signal to an iteration submodule, and adding 1 to the current iteration number by the iteration submodule according to the signal; sending a signal to an analysis submodule, and carrying out secondary analysis by the analysis submodule according to the signal and the optimization function and the optimization information to obtain an analysis result; the judgment sub-module is also used for judging whether the current iteration times are larger than the preset maximum iteration times, if so, a signal is sent to the optimization module, and the optimization module carries out route optimization according to the signal and an analysis result; if not, whether the analysis result meets the analysis evaluation condition is judged again.
Preferably, referring to fig. 5, the mobile terminal sends a data communication request to a palmtop base station (Femeto base station) through a base station signal; the palm base station sends a data communication request to a palm gateway (Femeto gateway) through a VPN tunnel; the palm gateway sends a data communication request to the analysis module 12 through the network. Therefore, the hierarchy of data communication between the mobile terminal and a plurality of servers of the EPC core network can be realized, the separation of EPC data forwarding and gateway access control can be realized, and the virtualization of the telecommunication function can be realized.
It will be understood that the above embodiments are merely exemplary embodiments taken to illustrate the principles of the present invention, which is not limited thereto. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and substance of the invention, and these modifications and improvements are also considered to be within the scope of the invention.

Claims (6)

1. A method for route optimization, comprising:
obtaining optimization information of a plurality of servers of an EPC core network, wherein the optimization information comprises: time delay, throughput rate and packet loss rate;
setting iteration initial parameters;
analyzing according to an analysis model and the optimization information to obtain an analysis result;
judging whether the analysis result meets an analysis evaluation condition, if so, performing route optimization according to the analysis result, wherein the route optimization is used for optimizing the network bearing performance of data communication between the mobile terminal and the server of the EPC core network; if not, the following steps are carried out:
adding 1 to the current iteration times;
performing secondary analysis according to the optimization function and the optimization information to obtain an analysis result;
judging whether the current iteration times are larger than a preset maximum iteration time, if so, performing route optimization according to the analysis result, wherein the route optimization is used for optimizing the network bearing performance of data communication between the mobile terminal and a server of the EPC core network; if not, returning to the judgment whether the analysis result meets the analysis evaluation condition or not, wherein the analysis model is a model matrix as follows:
Figure FDA0002940728550000011
wherein M is an information vector; the information vector of the ith row and the jth column represents the time delay, the throughput rate and the packet loss rate of a link from a source inode to a target j node; the information vector of the ith row and the jth column meets the following formula:
Figure FDA0002940728550000012
wherein the content of the first and second substances,
Figure FDA0002940728550000013
an information vector of the ith row and the jth column;
Figure FDA0002940728550000014
and
Figure FDA0002940728550000015
respectively the time delay, the reciprocal of the throughput rate and the packet loss rate; k is the current iteration number k;
the analysis evaluation conditions include the following evaluation functions:
Figure FDA0002940728550000021
wherein the content of the first and second substances,
Figure FDA0002940728550000022
i 1,2,. m; j ═ 1,2,. n; k is 1,2,. d; k is less than or equal to d, and d is the maximum iteration number;
Figure FDA0002940728550000027
xi and theta are respectively the time delay, the reciprocal of the throughput rate and the adjustment factor of the packet loss rate;
and implementing route optimization according to the analysis result, wherein the route optimization is used for optimizing the network bearing performance of data communication between the mobile terminal and the server of the EPC core network.
2. The route optimization method according to claim 1, wherein the optimization function is:
Figure FDA0002940728550000023
wherein, MinZkRepresents the optimal optimized value;
Figure FDA0002940728550000024
Figure FDA0002940728550000025
τij αis heuristic information; etaij βThe concentration of the enlightening pheromone of the link from the source node i to the target node j is determined;
Figure FDA0002940728550000026
a 3-order open cube origin absolute moment information vector for the (k + 1) th iteration; a. theGk、FGkAnd DGkAnd respectively obtaining global historical optimal routing node information vectors of k iterations including the previous k iterations of the current iteration in the k iterations.
3. The route optimization method according to claim 1, wherein when receiving an optimization request initiated according to a data communication request sent by a mobile terminal, analyzing according to an analysis model and the optimization information to obtain an analysis result, comprising:
summarizing all the optimization requests by adopting an active reporting and regular queried mode at each interval preset time;
and analyzing according to the analysis model and the optimization information corresponding to each optimization request to obtain an analysis result, and summarizing.
4. A router comprising an access unit of an EPC core network, the access unit of the EPC core network comprising:
an obtaining module, configured to obtain optimization information of multiple servers of an EPC core network, where the optimization information includes: time delay, throughput rate and packet loss rate;
the analysis module is used for setting iteration initial parameters; analyzing according to an analysis model and the optimization information to obtain an analysis result; judging whether the analysis result meets an analysis evaluation condition, if so, performing route optimization according to the analysis result, wherein the route optimization is used for optimizing the network bearing performance of data communication between the mobile terminal and the server of the EPC core network; if not, the following steps are carried out:
adding 1 to the current iteration times;
performing secondary analysis according to the optimization function and the optimization information to obtain an analysis result;
judging whether the current iteration times are larger than a preset maximum iteration time, if so, performing route optimization according to the analysis result, wherein the route optimization is used for optimizing the network bearing performance of data communication between the mobile terminal and a server of the EPC core network; if not, returning to judge whether the analysis result meets the analysis evaluation condition; the analytical model is a model matrix as follows:
Figure FDA0002940728550000031
wherein M is an information vector; the information vector of the ith row and the jth column represents the time delay, the throughput rate and the packet loss rate of a link from a source inode to a target j node; the information vector of the ith row and the jth column meets the following formula:
Figure FDA0002940728550000032
wherein the content of the first and second substances,
Figure FDA0002940728550000033
an information vector of the ith row and the jth column;
Figure FDA0002940728550000034
and
Figure FDA0002940728550000035
respectively the time delay, the reciprocal of the throughput rate and the packet loss rate; k is the current iteration number k;
the analysis evaluation conditions include the following evaluation functions:
Figure FDA0002940728550000041
wherein the content of the first and second substances,
Figure FDA0002940728550000042
i 1,2,. m; j ═ 1,2,. n; k is 1,2,. d; k is less than or equal to d, and d is the maximum iteration number;
Figure FDA0002940728550000043
xi and theta are respectively the time delay, the reciprocal of the throughput rate and the adjustment factor of the packet loss rate;
and the optimization module is used for implementing route optimization according to the analysis result, and the route optimization is used for optimizing the network bearing performance of data communication between the mobile terminal and the server of the EPC core network.
5. The router of claim 4, wherein the analysis module comprises:
the analysis submodule is used for analyzing according to an analysis model and the optimization information to obtain an analysis result; performing secondary analysis according to the analysis model and the optimization information to obtain an analysis result;
the iteration submodule is used for setting an iteration initial parameter;
a judgment submodule for judging whether the analysis result satisfies an analysis evaluation condition,
if so, sending a signal to the optimization module, and optimizing the network bearing performance of data communication between the mobile terminal and the server of the EPC core network by the optimization module according to the signal;
if not, sending a signal to the iteration submodule, and adding 1 to the current iteration number by the iteration submodule according to the signal; sending a signal to the analysis submodule, and carrying out secondary analysis by the analysis submodule according to the signal and the optimization function and the optimization information to obtain an analysis result; the judging submodule is also used for judging whether the current iteration times are larger than the preset maximum iteration times, if so, a signal is sent to the optimizing module, and the optimizing module implements route optimization according to the signal and the analysis result; if not, whether the analysis result meets the analysis evaluation condition is judged again.
6. The router according to claim 4, wherein said mobile terminal sends said data communication request to a palm-top base station via a base station signal; the palm base station sends the data communication request to a palm gateway through a VPN tunnel; and the palm gateway sends the data communication request to the analysis module through a network.
CN201710874746.9A 2017-09-25 2017-09-25 Route optimization method and router Active CN107509230B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201710874746.9A CN107509230B (en) 2017-09-25 2017-09-25 Route optimization method and router

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201710874746.9A CN107509230B (en) 2017-09-25 2017-09-25 Route optimization method and router

Publications (2)

Publication Number Publication Date
CN107509230A CN107509230A (en) 2017-12-22
CN107509230B true CN107509230B (en) 2021-04-02

Family

ID=60698580

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201710874746.9A Active CN107509230B (en) 2017-09-25 2017-09-25 Route optimization method and router

Country Status (1)

Country Link
CN (1) CN107509230B (en)

Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108830422B (en) * 2018-06-21 2021-08-17 中国联合网络通信集团有限公司 Intelligent driving optimization method, device and system
CN108768857B (en) * 2018-08-30 2021-04-02 中国联合网络通信集团有限公司 Virtual route forwarding method, device and system

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US8494559B1 (en) * 2005-12-30 2013-07-23 At&T Intellectual Property I, L.P. Method and system for selecting a wireless access technology using location based information
CN102158417A (en) * 2011-05-19 2011-08-17 北京邮电大学 Method and device for optimizing multi-constraint quality of service (QoS) routing selection
CN104579961B (en) * 2013-10-11 2018-09-07 中国移动通信集团公司 The dispatching method and device of data message
CN103957158A (en) * 2014-04-14 2014-07-30 华为技术有限公司 Determining method and device for flow forwarding path and communication system

Also Published As

Publication number Publication date
CN107509230A (en) 2017-12-22

Similar Documents

Publication Publication Date Title
EP3213546B1 (en) System and method for placing virtual serving gateways for mobility management
CN108023840B (en) OVS network flow acceleration optimization method and OVS network flow acceleration optimization system
CN107454630B (en) Load balancing method and load balancing router
CN104780080B (en) Deep message detection method and system
CN109150738B (en) Industrial internet resource management method and system, readable storage medium and terminal
CN110519795A (en) A kind of method and device of determining background traffic transmission strategy
US20230300726A1 (en) Data processing method and apparatus, network element device, storage medium, and program product
CN108293200B (en) Device throughput determination
CN113727306B (en) Decoupling C-V2X network slicing method based on deep reinforcement learning
CN107509230B (en) Route optimization method and router
WO2022116665A1 (en) Method and system for adjusting tcp flow
Ageyev et al. LTE EPS network with self-similar traffic modeling for performance analysis
WO2018236723A1 (en) Joint routing and caching method for content delivery with optimality guarantees for arbitrary networks
Tam et al. Intelligent massive traffic handling scheme in 5G bottleneck backhaul networks
Zhao et al. Improved grant-free access for URLLC via multi-tier-driven computing: Network-load learning, prediction, and resource allocation
CN108768857B (en) Virtual route forwarding method, device and system
Dang et al. Spray and forward: Efficient routing based on the Markov location prediction model for DTNs
Li et al. Achieving high throughput for heterogeneous networks with consecutive caching and adaptive retrieval
Vani et al. An Intelligent Server load balancing based on Multi-criteria decision-making in SDN
CN111418174A (en) First node and second node and method of operating first node and second node
CN114785692A (en) Virtual power plant aggregation regulation and control communication network flow balancing method and device
KR101627625B1 (en) Multi-protocol routing system and method driven by application and network in convergence
CN113473408A (en) User association method and system for realizing video transmission in Internet of vehicles
CN108512685B (en) Information center network flow control method and device
Manogaran et al. Replication based crowd sensing for optimal service response in 5G communications using information-centric wireless sensor networks

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant