CN114079637B - Service processing method and system based on mobile edge calculation - Google Patents
Service processing method and system based on mobile edge calculation Download PDFInfo
- Publication number
- CN114079637B CN114079637B CN202010773767.3A CN202010773767A CN114079637B CN 114079637 B CN114079637 B CN 114079637B CN 202010773767 A CN202010773767 A CN 202010773767A CN 114079637 B CN114079637 B CN 114079637B
- Authority
- CN
- China
- Prior art keywords
- traffic
- service flow
- flow
- base station
- service
- 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
Links
- 238000003672 processing method Methods 0.000 title claims abstract description 27
- 238000004364 calculation method Methods 0.000 title abstract description 15
- 230000006855 networking Effects 0.000 claims abstract description 70
- 238000000034 method Methods 0.000 claims abstract description 41
- 238000012545 processing Methods 0.000 claims abstract description 20
- 230000005540 biological transmission Effects 0.000 claims description 103
- 238000004891 communication Methods 0.000 claims description 18
- 238000012544 monitoring process Methods 0.000 claims description 14
- 238000004458 analytical method Methods 0.000 claims description 9
- 208000032369 Primary transmission Diseases 0.000 claims description 8
- 230000008569 process Effects 0.000 description 12
- 230000009286 beneficial effect Effects 0.000 description 4
- 238000010586 diagram Methods 0.000 description 4
- 230000008901 benefit Effects 0.000 description 3
- 238000005457 optimization Methods 0.000 description 3
- 238000012546 transfer Methods 0.000 description 3
- 238000004590 computer program Methods 0.000 description 2
- 238000009499 grossing Methods 0.000 description 2
- 230000009467 reduction Effects 0.000 description 2
- 230000011664 signaling Effects 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 230000008030 elimination Effects 0.000 description 1
- 238000003379 elimination reaction Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000011022 operating instruction Methods 0.000 description 1
Classifications
-
- 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
- H04L47/2441—Traffic characterised by specific attributes, e.g. priority or QoS relying on flow classification, e.g. using integrated services [IntServ]
Landscapes
- Engineering & Computer Science (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- Mobile Radio Communication Systems (AREA)
Abstract
The invention discloses a service processing method and system based on mobile edge calculation. The method comprises the following steps: receiving service flow sent by a base station; judging the flow category of the service flow according to the networking mode, the base station category and the message information corresponding to the service flow; if the traffic class of the traffic is the local traffic, the traffic is sent to the local network; and if the traffic class of the traffic is the core network traffic, sending the traffic to an access packet transport network. According to the scheme, the traffic class of the service traffic is comprehensively determined from three dimensions of a networking mode, the base station class and the message information, so that the class division precision of the service traffic can be greatly improved; and forwarding the service flow according to the flow category division result, so as to realize the flow division of the service flow, reduce the load of the access PTN and facilitate the rapid processing of the service; in addition, the implementation mode of the scheme is simple and feasible, and is suitable for large-scale application and implementation.
Description
Technical Field
The invention relates to the technical field of network communication, in particular to a service processing method and system based on mobile edge calculation.
Background
The mobile edge computing (Mobile Edge Computing, MEC) migrates the cloud computing platform from the core network to the edge of the access network, so as to reduce the network data transmission load and reduce the end-to-end transmission delay, thereby constructing a carrier class service environment with high performance, low delay and high bandwidth, accelerating the rapid downloading of various contents, services and applications in the network, and improving the user experience.
However, the inventors found in practice that the following drawbacks exist in the prior art: the current MEC has poor flow distribution precision of service flow, and has high load of accessing PTN (Packet Transport Network ), thereby causing low service processing efficiency and further reducing user experience.
Disclosure of Invention
The present invention has been made in view of the above problems, and it is an object of the present invention to provide a mobile edge computing based service processing method and system that overcomes or at least partially solves the above problems.
According to one aspect of the present invention, there is provided a service processing method based on mobile edge calculation, including:
receiving service flow sent by a base station;
judging the flow category of the service flow according to the networking mode, the base station category and the message information corresponding to the service flow;
If the traffic class of the traffic is the local traffic, the traffic is sent to a local network;
and if the traffic class of the traffic is the core network traffic, sending the traffic to an access packet transport network.
Optionally, the determining the traffic class of the traffic according to the networking mode, the base station class, and the message information corresponding to the traffic further includes:
if the networking mode is a 5G NSA networking mode, judging the traffic class of the service traffic according to the class of the base station and the message information;
if the networking mode is a 5G SA networking mode, judging the flow category of the service flow according to the message information.
Optionally, the determining the traffic class of the traffic according to the base station class and the message information further includes:
if the base station is a 4G base station, the traffic class of the service traffic is core network traffic;
if the base station is a 5G base station, judging the traffic class of the service traffic according to the message information.
Optionally, the determining the traffic class of the traffic according to the message information further includes:
judging whether the message information meets a preset IP shunt rule or not;
If yes, the service flow is the local flow;
if not, the service flow is the core network flow.
Optionally, the method further comprises:
and carrying out DNS analysis on the DNS request message corresponding to the service flow, and feeding back the target IP address to the user terminal corresponding to the service flow.
Optionally, the method further comprises:
and dynamically adjusting the sending rate of the service flow to the local network and/or the packet transmission network according to the receiving condition of the service flow.
Optionally, the sending process of the service flow includes a main transmission link and a standby transmission link; wherein the primary transmission link comprises a traffic splitting node; and the backup transmission link does not include a traffic splitting node;
the method further comprises; monitoring whether a main transmission link fails;
if yes, switching from the main transmission link to the standby transmission link to send the service flow to the access packet transport network;
and/or, the method further comprises: and monitoring whether the fault of the main transmission link is eliminated, and if so, switching back to the main transmission link by the transmission link.
According to another aspect of the present invention, there is provided a service processing system based on mobile edge calculation, including:
The first switch is suitable for receiving the service flow sent by the base station and forwarding the service flow to the shunt gateway;
the distribution gateway is suitable for judging the flow category of the service flow according to the networking mode, the base station category and the message information corresponding to the service flow;
the second exchanger is suitable for sending the service flow to the local network if the flow class of the service flow is the local flow; and if the traffic class of the traffic is the core network traffic, sending the traffic to an access packet transport network.
Optionally, the shunt gateway is further adapted to: if the networking mode is a 5G NSA networking mode, judging the traffic class of the service traffic according to the class of the base station and the message information; if the networking mode is a 5G SA networking mode, judging the flow category of the service flow according to the message information.
Optionally, the shunt gateway is further adapted to: if the base station is a 4G base station, the traffic class of the service traffic is core network traffic; if the base station is a 5G base station, judging the traffic class of the service traffic according to the message information.
Optionally, the shunt gateway is further adapted to: judging whether the message information meets a preset IP shunt rule or not;
If yes, the service flow is the local flow;
if not, the service flow is the core network flow.
Optionally, the shunt gateway is further adapted to: and carrying out DNS analysis on the DNS request message corresponding to the service flow, and feeding back the target IP address to the user terminal corresponding to the service flow.
Optionally, the second switch is further adapted to dynamically adjust a sending rate of the traffic to the local network and/or the packet transport network according to a receiving condition of the traffic.
Optionally, the sending process of the service flow includes a main transmission link and a standby transmission link; the link formed by the first switch, the shunt gateway and the second switch is a main transmission link; the link between the first switch and the second switch is a standby transmission link;
the first switch is further adapted to: monitoring whether a main transmission link fails; if yes, switching from the main transmission link to the standby transmission link to send the service flow to the access packet transport network;
and/or monitoring whether the main transmission link fault is eliminated, if so, switching back to the main transmission link by the transmission link.
According to yet another aspect of the present invention, there is provided a computing device comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;
the memory is used for storing at least one executable instruction, and the executable instruction enables the processor to execute the operation corresponding to the service processing method based on the mobile edge calculation.
According to still another aspect of the present invention, there is provided a computer storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the above-described mobile edge computing-based traffic processing method.
According to the service processing method and the system based on the mobile edge calculation, firstly, the service flow sent by the base station is received; further judging the traffic class of the traffic according to the networking mode, the base station class and the message information corresponding to the traffic; if the traffic class of the traffic is the local traffic, the traffic is sent to the local network; and if the traffic class of the traffic is the core network traffic, sending the traffic to an access packet transport network. According to the scheme, the traffic class of the service traffic is comprehensively determined from three dimensions of a networking mode, the base station class and the message information, so that the class division precision of the service traffic can be greatly improved; and forwarding the service flow according to the flow category division result, so as to realize the flow division of the service flow, reduce the load of the access PTN and facilitate the rapid processing of the service; in addition, the implementation mode of the scheme is simple and feasible, and is suitable for large-scale application and implementation.
The foregoing description is only an overview of the present invention, and is intended to be implemented in accordance with the teachings of the present invention in order that the same may be more clearly understood and to make the same and other objects, features and advantages of the present invention more readily apparent.
Drawings
Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the invention. Also, like reference numerals are used to designate like parts throughout the figures. In the drawings:
fig. 1 is a schematic flow chart of a service processing method based on mobile edge calculation according to an embodiment of the present invention;
fig. 2 is a flow chart illustrating a method for determining traffic class of traffic based on three-dimensional information according to an embodiment of the present invention;
fig. 3 is a schematic flow chart of a service processing method based on mobile edge calculation according to a second embodiment of the present invention;
fig. 4 is a flow chart of a service processing method based on mobile edge calculation according to a third embodiment of the present invention;
Fig. 5 is a flow chart of a service processing method based on mobile edge calculation according to a fourth embodiment of the present invention;
fig. 6 is a schematic structural diagram of a service processing system based on mobile edge computation according to a fifth embodiment of the present invention;
fig. 7 shows a schematic structural diagram of a computing device according to a seventh embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present invention will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present invention are shown in the drawings, it should be understood that the present invention may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the invention to those skilled in the art.
Example 1
Fig. 1 is a schematic flow chart of a service processing method based on mobile edge calculation according to an embodiment of the present invention. The method is applied to MEC, and the execution equipment of the method is arranged between the base station and the access PTN.
As shown in fig. 1, the method comprises the steps of:
step S110: and receiving the service flow sent by the base station.
The execution main body of the method is positioned between the base station and the access PTN and can receive the service flow sent by the base station, wherein the service flow is specifically uplink data; the base station may be a 4G base station, a 5G base station, or the like. In a practical implementation process, the base station generally includes a BBU (Building Base band Unite, baseband processing unit), an RRU (Remote Radio Unit, radio frequency processing unit) and an antenna feeder system, and this step is specifically to receive traffic sent by the BBU in the base station.
Alternatively, the traffic sent from the base station may be received through a preset interface (e.g., an eNB interface).
Step S120: judging the flow category of the service flow according to the networking mode, the base station category and the message information corresponding to the service flow; if the traffic class is the local traffic, executing step S130; if the traffic class is the core network traffic, step S140 is performed.
Wherein the traffic class includes local traffic and core network traffic. In this embodiment, the traffic class of the traffic is comprehensively determined according to three dimensional information, namely, the networking mode, the base station class and the message information corresponding to the traffic, so as to improve the accuracy of dividing the traffic class.
Optionally, to further improve the accuracy of traffic division of traffic and reduce the false positive rate, the division of traffic may be implemented step by a flow as shown in fig. 2:
step S121: judging a networking mode corresponding to the service flow; if the networking mode is the 5G NSA networking mode, executing step S122; if the networking mode is the 5G SA networking mode, step S123 is executed.
The embodiment can be applied to a 5G scene, and in the 5G scene, two different networking modes are generally corresponding, namely, a 5G SA (Stand alone networking) networking mode and a 5G SA (Non-Stand alone networking) networking mode. And the data flow directions of different networking modes are different, so that the networking mode corresponding to the service flow is first identified in the embodiment.
When the networking mode is a 5G NSA networking mode, the flow category of the service flow is further judged according to the base station category and the message information through the following steps S122 and S123; and when the networking mode is the 5G SA networking mode, judging the flow type of the service flow according to the message information only through the step S123.
Step S122: judging the base station category corresponding to the service flow; if the base station is the 5G base station, executing step S123; if the base station is a 4G base station, step S125 is performed.
In the 5G NSA networking mode, the 4G BBU is used as a control plane anchor point of 4G/5G, and the 4G BBU may also forward part of the user plane traffic, where the user plane traffic specifically points to the core network. When the base station corresponding to the service flow is determined to be the 4G base station, determining the flow category of the service flow as the core network flow (i.e. executing step S125); and when the base station corresponding to the service flow is determined to be the 5G base station, judging the flow category of the service flow according to the message information in step S123.
Step S123: judging whether message information corresponding to the service flow meets a preset IP (Internet protocol) distribution rule or not; if yes, go to step S124; if not, step S125 is performed.
Judging whether the message information meets a preset IP (Internet protocol) distribution rule or not when judging the traffic class of the service traffic according to the message information; if yes, determining the service flow as a local flow; if not, the service flow is the core network flow.
Specifically, an IP offload database is pre-built, and the database contains relevant IP and/or port information of a local network, so that message information (specifically, GTPU message) of a service flow can be matched with information in the database in an IP quintuple and/or triplet manner, if information matched with the message information of the service flow exists in the database, the service flow is determined to be the local flow, and if the information matched with the message information of the service flow exists in the database, the service flow meets a preset IP offload rule; otherwise, determining the service flow as the core network flow.
Step S124: and determining the traffic flow as the local flow.
Step S125: and determining the service flow as the core network flow.
After the flow category of the service flow is determined through the three-dimensional information, the service flow is further distributed and forwarded based on the judging result, so that the service flow is distributed. In the forwarding process, if the traffic class is the local traffic, step S130 is executed to send the traffic to the local network, where the local network may be a local private cloud; if the traffic class is the core network traffic, step S140 is performed to send the traffic to the access PTN and to the core network via the access PTN.
Step S130: the traffic is sent to the local network.
Optionally, in the process of sending the service traffic to the access packet transport network, the packet header in the GTPU packet may be stripped and forwarded from the LBP interface to the local network.
Further optionally, a GTPU tunnel information base may be pre-constructed, where corresponding packet header and IP information are stored in the tunnel information base, so that when a downlink packet transmitted by a local network through an LBP interface is received, the tunnel information base is queried to obtain a packet header matched with the downlink packet, and then the downlink packet and the packet header are encapsulated and transmitted to a base station through an eNB interface.
Step S140: the traffic is sent to an access packet transfer network.
In particular, the traffic may be sent to the access packet transfer network via the EPC interface for transfer to the core network.
Optionally, when the SCTP signaling message is transferred between the eNB interface and the EPC interface, the signaling message may be further parsed, so as to obtain corresponding GTPU tunnel information, and then the corresponding GTPU tunnel information is stored in the GTPU tunnel information base, so as to implement data update of the GTPU tunnel information base.
Therefore, according to the embodiment, the traffic class of the service traffic is comprehensively determined from three dimensions of the networking mode, the base station class and the message information, so that the class division precision of the service traffic can be greatly improved; in addition, the embodiment forwards the service flow according to the flow category division result, thereby realizing the flow division of the service flow, reducing the load of the access PTN and being beneficial to the rapid processing of the service; in addition, the implementation mode of the embodiment is simple and feasible, and is suitable for large-scale application and implementation; in addition, the embodiment has small change to the original network structure and strong expansibility.
Example two
Fig. 3 is a flow chart illustrating a service processing method based on mobile edge computation according to a second embodiment of the present invention. The service processing method provided in the present embodiment is specifically directed to further optimization of the service processing method in the first embodiment.
As shown in fig. 3, the method includes:
step S310: and receiving the service flow sent by the base station.
Step S320: and carrying out DNS analysis on the DNS request message corresponding to the service flow, and feeding back the target IP address to the user terminal corresponding to the service flow.
In this embodiment, the DNS request message of the user may be resolved by the constructed distributed DNS server, so that the target IP address corresponding to the DNS request message is resolved quickly.
In a specific parsing process, after receiving the DNS request message, the first embodiment may perform a search in a browser and/or an operating system local to the device, where whether there is an IP address matching the domain name in the DNS request (optionally, the search may be performed by querying the browser first and then querying the operating system); if yes, the searched IP address is used as a target IP address to be fed back to the user.
If the matched IP address is not found in the browser and/or the operating system of the execution device, the local DNS server is further queried in a recursive query mode. If the IP address corresponding to the domain name is found, the analysis is finished, and the found IP address is used as a target IP address to be fed back to the user.
If the local DNS server does not inquire the IP address corresponding to the domain name, further adopting an iterative inquiry mode to inquire: specifically, the local DNS server initiates an iterative query to the root domain name server. The root domain name server feeds back the local DNS server, and the IP address of the top-level domain name server queried next time; further, the local DNS server queries a top-level domain name server (such as com. Cn), the top-level domain name server feeds back the IP address of the local DNS server and the authority server queried next time; the local DNS server inquires a right server (such as a secondary domain name), and the right server feeds back an IP address (namely a target IP address) of a host inquired by the local domain name server; and finally, the local DNS server caches the domain name and the target IP address corresponding to the domain name, and feeds back the analysis result to the user. (optionally, the browser and/or operating system local to the executing device also caches the domain name and the target IP address corresponding to the domain name).
Step S320: judging the flow category of the service flow according to the networking mode, the base station category and the message information corresponding to the service flow; if the traffic class of the traffic is the local traffic, the traffic is sent to the local network; and if the traffic class of the traffic is the core network traffic, sending the traffic to an access packet transport network.
Therefore, the embodiment can analyze the DNS request message in a step-by-step matching mode on the basis of greatly improving the classification precision of the service flow and reducing the load of the access PTN, so that the IP address matched with the domain name can be quickly found, the service access efficiency is improved, and the user experience is further improved.
Example III
Fig. 4 is a flow chart of a service processing method based on mobile edge calculation according to a third embodiment of the present invention. The service processing method provided in the present embodiment is specifically directed to further optimization of the service processing method in the first embodiment.
As shown in fig. 4, the method includes:
step S410: and receiving the service flow sent by the base station.
Step S420: and judging the flow category of the service flow according to the networking mode, the base station category and the message information corresponding to the service flow.
Step S430: if the traffic class of the traffic is the local traffic, the traffic is sent to the local network; if the traffic class of the traffic is the core network traffic, the traffic is sent to an access packet transport network; and dynamically adjusting the sending rate of the service flow to the local network and/or the packet transmission network according to the receiving condition of the service flow.
In a specific implementation process, a corresponding receiving report may be periodically generated according to the receiving condition of the traffic flow in step S410, and a packet loss rate (optionally, the packet loss rate may be specifically a packet loss rate after smoothing processing, and the specific smoothing processing manner is not limited in this embodiment) in a preset period of time may be rapidly calculated according to the receiving report, so that the current network state is represented by the packet loss rate.
Specifically, when the packet loss rate is greater than a first preset threshold, indicating that the current network is congested; when the packet loss rate is smaller than a second preset threshold value (wherein the second preset threshold value is smaller than the first preset threshold value), indicating that the current network is idle; and when the packet loss rate is greater than or equal to a second preset threshold value and the packet loss rate is less than or equal to a first preset threshold value, the current network state is indicated to be moderate.
Further, the sending rate of the traffic to the local network and/or the packet transport network is adjusted according to the current network state. Specifically, in the initial state, the forwarding of the traffic is performed at an initial speed.
When the current network congestion is determined, the adjusted transmission rate is determined according to the initial speed, the transmission minimum bit rate and the multiplicative reduction factor. Specifically, when the network is congested, the transmission rate is multiplied to be reduced, so that the requirement on the required bandwidth is reduced, and the minimum bandwidth required by the transmitting end is ensured by transmitting the minimum bit rate. Specifically, the adjusted transmission rate is determined by the following equation 3-1:
Speed1 = max { (β x Speed 0), minRate } (equation 3-1)
Wherein Speed1 is the adjusted transmission rate, speed0 is the initial transmission rate, β is the multiplicative reduction factor, and MinRate is the minimum transmission bit rate of the transmitting end.
When the current network is determined to be idle, the maximum bit rate of transmission of the transmitting end is determined according to the initial speed, the linear increment and the initial speed. When the network is idle, the sending rate is increased linearly, and the sending end is ensured not to occupy excessive resources by sending the maximum bit rate. The adjusted transmission rate is determined specifically by the following equation 3-2:
speed1=min { (Speed0+step), maxRate } (equation 3-2)
Wherein Speed1 is the adjusted transmission rate, speed0 is the initial transmission rate, step is a linear increment, and MaxRate is the maximum transmission bit rate of the transmitting end.
And when the current network state is determined to be moderate, maintaining the current speed for traffic forwarding.
Therefore, the embodiment can dynamically adjust the sending rate of the service flow to the local network and/or the packet transport network according to the receiving condition of the service flow on the basis of greatly improving the classification precision of the service flow, reducing the load of the access PTN and the like; when the network is congested, the minimum sending rate of the sending end is further ensured on the basis of reducing the bandwidth requirement; and when the network is idle, the transmission rate is increased linearly, and the excessive occupation of resources by the transmitting end is ensured. Therefore, by adopting the scheme, the bandwidth control can be further realized, the packet loss rate and the time delay are reduced, and the user experience is improved.
Example IV
Fig. 5 is a flow chart of a service processing method based on mobile edge calculation according to a fourth embodiment of the present invention. The service processing method provided in the present embodiment is specifically directed to further optimization of the service processing method in the first embodiment.
As shown in fig. 5, the method includes:
step S510: and receiving the service flow sent by the base station.
Step S520: monitoring whether the main transmission link fails, if yes, executing step S530; if not, step S550 is performed.
In this embodiment, in order to avoid the situation that all the service processes are interrupted due to the failure of the service flow splitting node, a main transmission link and a standby transmission link are provided in the process of sending the service flow. The main transmission link comprises a flow diversion node; while the backup transmission link does not contain a traffic splitting node. The normal forwarding of the service is ensured and the stability of the system is improved through the arrangement of the main and standby links.
Step S530: switching from the primary transmission link to the backup transmission link to send the traffic to the access packet transport network.
If the main transmission link is monitored to be faulty, the standby transmission link is directly started, and the service flow is directly sent to the access PTN, so that normal processing of public network service is ensured.
Step S540: monitoring whether the main transmission link fault is eliminated, if so, executing step S550; if not, continuing to monitor whether the main transmission link fault is eliminated.
After the standby transmission link is started, whether the main transmission link fault is eliminated or not can be monitored in real time according to a preset period, and if the main transmission link fault is eliminated, the transmission link is switched back to the main transmission link so as to split the service flow; if the current main transmission link fault is not eliminated, continuing to monitor the main transmission link until the main transmission link fault is eliminated.
Step S550: judging the flow category of the service flow according to the networking mode, the base station category and the message information corresponding to the service flow; if the traffic class of the traffic is the local traffic, the traffic is sent to the local network; and if the traffic class of the traffic is the core network traffic, sending the traffic to an access packet transport network.
And if the main transmission link is monitored to be not in failure or the main transmission link failure is eliminated, the main transmission link is utilized to split the service flow.
Therefore, the embodiment can greatly improve the classification precision of the service flow, lighten the load of the access PTN and the like, and enable the standby transmission link to forward the public network service flow under the condition of the failure of the main transmission link through the arrangement of the main transmission link and the standby transmission link so as to ensure the normal processing of the public network service; in the event of failure elimination of the primary transmission link, the primary transmission link is re-enabled for traffic splitting. Through the embodiment, the system stability can be greatly improved, the normal processing of the service is ensured, and the further improvement of the user experience is facilitated.
Example five
Fig. 6 is a schematic structural diagram of a service processing system based on mobile edge computation according to a fifth embodiment of the present invention. As shown in fig. 6, the system includes: a first switch 61, a shunt gateway 62, and a second switch 63.
The first switch 61 is adapted to receive a service flow sent by a base station and forward the service flow to a distribution gateway;
the diversion gateway 62 is adapted to determine a traffic class of the traffic according to a networking mode, a base station class, and message information corresponding to the traffic;
a second switch 63, adapted to send the traffic to the local network if the traffic class of the traffic is local traffic; and if the traffic class of the traffic is the core network traffic, sending the traffic to an access packet transport network.
Optionally, the shunt gateway is further adapted to: if the networking mode is a 5G NSA networking mode, judging the traffic class of the service traffic according to the class of the base station and the message information; if the networking mode is a 5G SA networking mode, judging the flow category of the service flow according to the message information.
Optionally, the shunt gateway is further adapted to: if the base station is a 4G base station, the traffic class of the service traffic is core network traffic; if the base station is a 5G base station, judging the traffic class of the service traffic according to the message information.
Optionally, the shunt gateway is further adapted to: judging whether the message information meets a preset IP shunt rule or not;
if yes, the service flow is the local flow;
if not, the service flow is the core network flow.
Optionally, the shunt gateway is further adapted to: and carrying out DNS analysis on the DNS request message corresponding to the service flow, and feeding back the target IP address to the user terminal corresponding to the service flow.
Optionally, the second switch is further adapted to dynamically adjust a sending rate of the traffic to the local network and/or the packet transport network according to a receiving condition of the traffic.
Optionally, the sending process of the service flow includes a main transmission link and a standby transmission link; the link formed by the first switch, the shunt gateway and the second switch is a main transmission link; the link between the first switch and the second switch is a standby transmission link; the first switch and the second switch are interconnected by a smartlink.
The first switch is further adapted to: monitoring whether a main transmission link fails; if yes, switching from the main transmission link to the standby transmission link to send the service flow to the access packet transport network;
And/or monitoring whether the main transmission link fault is eliminated, if so, switching back to the main transmission link by the transmission link.
The specific implementation of the part of this embodiment may be described with reference to the corresponding part of the first to fourth embodiments, which is not limited herein.
Further optionally, a firewall may be disposed between the second switch and the local network, so as to isolate the user network from the operator network, and ensure network security.
Therefore, according to the embodiment, the traffic class of the service traffic is comprehensively determined from three dimensions of the networking mode, the base station class and the message information, so that the class division precision of the service traffic can be greatly improved; in addition, the embodiment forwards the service flow according to the flow category division result, thereby realizing the flow division of the service flow, reducing the load of the access PTN and being beneficial to the rapid processing of the service; in addition, the implementation mode of the embodiment is simple and feasible, and is suitable for large-scale application and implementation.
Example six
According to a sixth embodiment of the present invention, there is provided a non-volatile computer storage medium storing at least one executable instruction for performing the service processing method based on mobile edge computation in any of the above method embodiments.
The executable instructions may be particularly useful for causing a processor to:
receiving service flow sent by a base station;
judging the flow category of the service flow according to the networking mode, the base station category and the message information corresponding to the service flow;
if the traffic class of the traffic is the local traffic, the traffic is sent to a local network;
and if the traffic class of the traffic is the core network traffic, sending the traffic to an access packet transport network.
In an alternative embodiment, the executable instructions may be specifically configured to cause a processor to:
if the networking mode is a 5G NSA networking mode, judging the traffic class of the service traffic according to the class of the base station and the message information;
if the networking mode is a 5G SA networking mode, judging the flow category of the service flow according to the message information.
In an alternative embodiment, the executable instructions may be specifically configured to cause a processor to:
if the base station is a 4G base station, the traffic class of the service traffic is core network traffic;
if the base station is a 5G base station, judging the traffic class of the service traffic according to the message information.
In an alternative embodiment, the executable instructions may be specifically configured to cause a processor to:
judging whether the message information meets a preset IP shunt rule or not;
if yes, the service flow is the local flow;
if not, the service flow is the core network flow.
In an alternative embodiment, the executable instructions may be specifically configured to cause a processor to:
and carrying out DNS analysis on the DNS request message corresponding to the service flow, and feeding back the target IP address to the user terminal corresponding to the service flow.
In an alternative embodiment, the executable instructions may be specifically configured to cause a processor to:
and dynamically adjusting the sending rate of the service flow to the local network and/or the packet transmission network according to the receiving condition of the service flow.
In an alternative embodiment, the transmission process of the service flow comprises a main transmission link and a standby transmission link; wherein the primary transmission link comprises a traffic splitting node; and the backup transmission link does not include a traffic splitting node;
the executable instructions may be particularly useful for causing a processor to:
Monitoring whether a main transmission link fails;
if yes, switching from the main transmission link to the standby transmission link to send the service flow to the access packet transport network;
and/or monitoring whether the main transmission link fault is eliminated, if so, switching back to the main transmission link by the transmission link.
Therefore, according to the embodiment, the traffic class of the service traffic is comprehensively determined from three dimensions of the networking mode, the base station class and the message information, so that the class division precision of the service traffic can be greatly improved; in addition, the embodiment forwards the service flow according to the flow category division result, thereby realizing the flow division of the service flow, reducing the load of the access PTN and being beneficial to the rapid processing of the service; in addition, the implementation mode of the embodiment is simple and feasible, and is suitable for large-scale application and implementation.
Example seven
Fig. 7 is a schematic structural diagram of a computing device according to a seventh embodiment of the present invention, which is not limited to the specific implementation of the computing device.
As shown in fig. 7, the computing device may include: a processor 702, a communication interface (Communications Interface), a memory 706, and a communication bus 708.
Wherein: processor 702, communication interface 704, and memory 706 perform communication with each other via a communication bus 708. A communication interface 704 for communicating with network elements of other devices, such as clients or other servers. The processor 702 is configured to execute the program 710, and may specifically perform relevant steps in the foregoing embodiments of the service processing method for mobile edge based computing.
In particular, program 710 may include program code including computer-operating instructions.
The processor 702 may be a Central Processing Unit (CPU), or a specific integrated circuit ASIC (Application Specific Integrated Circuit), or one or more integrated circuits configured to implement embodiments of the present invention. The one or more processors included by the computing device may be the same type of processor, such as one or more CPUs; but may also be different types of processors such as one or more CPUs and one or more ASICs.
Memory 706 for storing programs 710. The memory 706 may comprise high-speed RAM memory or may further comprise non-volatile memory (non-volatile memory), such as at least one disk memory.
The program 710 may be specifically configured to cause the processor 702 to:
Receiving service flow sent by a base station;
judging the flow category of the service flow according to the networking mode, the base station category and the message information corresponding to the service flow;
if the traffic class of the traffic is the local traffic, the traffic is sent to a local network;
and if the traffic class of the traffic is the core network traffic, sending the traffic to an access packet transport network.
In an alternative embodiment, the program 710 may be specifically configured to cause the processor 702 to:
if the networking mode is a 5G NSA networking mode, judging the traffic class of the service traffic according to the class of the base station and the message information;
if the networking mode is a 5G SA networking mode, judging the flow category of the service flow according to the message information.
In an alternative embodiment, the program 710 may be specifically configured to cause the processor 702 to:
if the base station is a 4G base station, the traffic class of the service traffic is core network traffic;
if the base station is a 5G base station, judging the traffic class of the service traffic according to the message information.
In an alternative embodiment, the program 710 may be specifically configured to cause the processor 702 to:
Judging whether the message information meets a preset IP shunt rule or not;
if yes, the service flow is the local flow;
if not, the service flow is the core network flow.
In an alternative embodiment, the program 710 may be specifically configured to cause the processor 702 to:
and carrying out DNS analysis on the DNS request message corresponding to the service flow, and feeding back the target IP address to the user terminal corresponding to the service flow.
In an alternative embodiment, the program 710 may be specifically configured to cause the processor 702 to:
and dynamically adjusting the sending rate of the service flow to the local network and/or the packet transmission network according to the receiving condition of the service flow.
In an alternative embodiment, the transmission process of the service flow comprises a main transmission link and a standby transmission link; wherein the primary transmission link comprises a traffic splitting node; and the backup transmission link does not include a traffic splitting node;
the program 710 may be specifically configured to cause the processor 702 to:
monitoring whether a main transmission link fails;
if yes, switching from the main transmission link to the standby transmission link to send the service flow to the access packet transport network;
And/or monitoring whether the main transmission link fault is eliminated, if so, switching back to the main transmission link by the transmission link.
Therefore, according to the embodiment, the traffic class of the service traffic is comprehensively determined from three dimensions of the networking mode, the base station class and the message information, so that the class division precision of the service traffic can be greatly improved; in addition, the embodiment forwards the service flow according to the flow category division result, thereby realizing the flow division of the service flow, reducing the load of the access PTN and being beneficial to the rapid processing of the service; in addition, the implementation mode of the embodiment is simple and feasible, and is suitable for large-scale application and implementation.
The algorithms or displays presented herein are not inherently related to any particular computer, virtual system, or other apparatus. Various general-purpose systems may also be used with the teachings herein. The required structure for a construction of such a system is apparent from the description above. In addition, embodiments of the present invention are not directed to any particular programming language. It will be appreciated that the teachings of the present invention described herein may be implemented in a variety of programming languages, and the above description of specific languages is provided for disclosure of enablement and best mode of the present invention.
In the description provided herein, numerous specific details are set forth. However, it is understood that embodiments of the invention may be practiced without these specific details. In some instances, well-known methods, structures and techniques have not been shown in detail in order not to obscure an understanding of this description.
Similarly, it should be appreciated that in the above description of exemplary embodiments of the invention, various features of the embodiments of the invention are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the various inventive aspects. However, the disclosed method should not be construed as reflecting the intention that: i.e., the claimed invention requires more features than are expressly recited in each claim. Rather, as the following claims reflect, inventive aspects lie in less than all features of a single foregoing disclosed embodiment. Thus, the claims following the detailed description are hereby expressly incorporated into this detailed description, with each claim standing on its own as a separate embodiment of this invention.
Those skilled in the art will appreciate that the modules in the apparatus of the embodiments may be adaptively changed and disposed in one or more apparatuses different from the embodiments. The modules or units or components of the embodiments may be combined into one module or unit or component and, furthermore, they may be divided into a plurality of sub-modules or sub-units or sub-components. Any combination of all features disclosed in this specification (including any accompanying claims, abstract and drawings), and all of the processes or units of any method or apparatus so disclosed, may be used in combination, except insofar as at least some of such features and/or processes or units are mutually exclusive. Each feature disclosed in this specification (including any accompanying claims, abstract and drawings), may be replaced by alternative features serving the same, equivalent or similar purpose, unless expressly stated otherwise.
Furthermore, those skilled in the art will appreciate that while some embodiments herein include some features but not others included in other embodiments, combinations of features of different embodiments are meant to be within the scope of the invention and form different embodiments. For example, in the following claims, any of the claimed embodiments can be used in any combination.
Various component embodiments of the invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that some or all of the functionality of some or all of the components according to embodiments of the present invention may be implemented in practice using a microprocessor or Digital Signal Processor (DSP). The present invention can also be implemented as an apparatus or device program (e.g., a computer program and a computer program product) for performing a portion or all of the methods described herein. Such a program embodying the present invention may be stored on a computer readable medium, or may have the form of one or more signals. Such signals may be downloaded from an internet website, provided on a carrier signal, or provided in any other form.
It should be noted that the above-mentioned embodiments illustrate rather than limit the invention, and that those skilled in the art will be able to design alternative embodiments without departing from the scope of the appended claims. In the claims, any reference signs placed between parentheses shall not be construed as limiting the claim. The word "comprising" does not exclude the presence of elements or steps not listed in a claim. The word "a" or "an" preceding an element does not exclude the presence of a plurality of such elements. The invention may be implemented by means of hardware comprising several distinct elements, and by means of a suitably programmed computer. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the words first, second, third, etc. do not denote any order. These words may be interpreted as names. The steps in the above embodiments should not be construed as limiting the order of execution unless specifically stated.
Claims (7)
1. A method for processing a service based on mobile edge computation, comprising:
receiving service flow sent by a base station;
judging the flow category of the service flow according to the networking mode, the base station category and the message information corresponding to the service flow;
if the traffic class of the traffic is the local traffic, the traffic is sent to a local network;
if the traffic class of the traffic is the core network traffic, the traffic is sent to an access packet transport network;
wherein, the determining the traffic class of the traffic according to the networking mode, the base station class, and the message information corresponding to the traffic further includes:
judging a networking mode corresponding to the service flow;
if the networking mode is a 5G NSA networking mode, judging the base station category corresponding to the service flow; if the base station is a 5G base station, judging whether message information corresponding to the service flow meets a preset IP (Internet protocol) distribution rule, if so, determining the service flow as a local flow, and if not, determining the service flow as a core network flow; if the base station is a 4G base station, determining the service flow as the core network flow;
if the networking mode is a 5G SA networking mode, judging whether message information corresponding to the service flow meets a preset IP (Internet protocol) diversion rule, if so, determining the service flow as a local flow, and if not, determining the service flow as a core network flow;
The method comprises the steps of constructing an IP shunt database containing relevant IP and/or port information of a local network, and if information matched with message information of service flow exists in the database, indicating that the service flow meets a preset IP shunt rule.
2. The method according to claim 1, wherein the method further comprises:
and carrying out DNS analysis on the DNS request message corresponding to the service flow, and feeding back the target IP address to the user terminal corresponding to the service flow.
3. The method according to claim 1, wherein the method further comprises:
and dynamically adjusting the sending rate of the service flow to the local network and/or the packet transmission network according to the receiving condition of the service flow.
4. A method according to any of claims 1-3, characterized in that a primary transmission link and a backup transmission link are included in the transmission of the traffic; wherein the primary transmission link comprises a traffic splitting node; and the backup transmission link does not include a traffic splitting node;
the method further comprises; monitoring whether a main transmission link fails;
if yes, switching from the main transmission link to the standby transmission link to send the service flow to the access packet transport network;
And/or, the method further comprises: and monitoring whether the fault of the main transmission link is eliminated, and if so, switching back to the main transmission link by the transmission link.
5. A mobile edge computing-based business processing system, comprising:
the first switch is suitable for receiving the service flow sent by the base station and forwarding the service flow to the shunt gateway;
the distribution gateway is suitable for judging the flow category of the service flow according to the networking mode, the base station category and the message information corresponding to the service flow;
the second exchanger is suitable for sending the service flow to the local network if the flow class of the service flow is the local flow; if the traffic class of the traffic is the core network traffic, the traffic is sent to an access packet transport network;
wherein, the determining the traffic class of the traffic according to the networking mode, the base station class, and the message information corresponding to the traffic further includes:
judging a networking mode corresponding to the service flow;
if the networking mode is a 5G NSA networking mode, judging the base station category corresponding to the service flow; if the base station is a 5G base station, judging whether message information corresponding to the service flow meets a preset IP (Internet protocol) distribution rule, if so, determining the service flow as a local flow, and if not, determining the service flow as a core network flow; if the base station is a 4G base station, determining the service flow as the core network flow;
If the networking mode is a 5G SA networking mode, judging whether message information corresponding to the service flow meets a preset IP (Internet protocol) diversion rule, if so, determining the service flow as a local flow, and if not, determining the service flow as a core network flow;
the method comprises the steps of constructing an IP shunt database containing relevant IP and/or port information of a local network, and if information matched with message information of service flow exists in the database, indicating that the service flow meets a preset IP shunt rule.
6. A computing device, comprising: the device comprises a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface complete communication with each other through the communication bus;
the memory is configured to store at least one executable instruction, where the executable instruction causes the processor to perform operations corresponding to the mobile edge computing-based traffic processing method according to any one of claims 1 to 4.
7. A computer storage medium having stored therein at least one executable instruction for causing a processor to perform operations corresponding to the mobile edge computing based traffic processing method according to any one of claims 1 to 4.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010773767.3A CN114079637B (en) | 2020-08-04 | 2020-08-04 | Service processing method and system based on mobile edge calculation |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202010773767.3A CN114079637B (en) | 2020-08-04 | 2020-08-04 | Service processing method and system based on mobile edge calculation |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114079637A CN114079637A (en) | 2022-02-22 |
| CN114079637B true CN114079637B (en) | 2023-10-27 |
Family
ID=80279546
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202010773767.3A Active CN114079637B (en) | 2020-08-04 | 2020-08-04 | Service processing method and system based on mobile edge calculation |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114079637B (en) |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102014039A (en) * | 2009-09-07 | 2011-04-13 | 华为技术有限公司 | Data transmission method and access point |
| CN107529178A (en) * | 2017-08-30 | 2017-12-29 | 南京中科智达物联网系统有限公司 | A kind of schoolyard mobile phone management system and method based on MEC technologies |
| CN108111320A (en) * | 2016-11-24 | 2018-06-01 | 大唐移动通信设备有限公司 | A kind of local service charging method, server and charging gateway |
| CN108174421A (en) * | 2018-03-05 | 2018-06-15 | 重庆邮电大学 | A kind of data distribution method based on MEC auxiliary in 5G networks |
| CN108243456A (en) * | 2016-12-23 | 2018-07-03 | 中国电信股份有限公司 | Policy control method and strategy controller |
| CN109218379A (en) * | 2017-07-05 | 2019-01-15 | 维布络有限公司 | Data processing method and system in environment of internet of things |
| WO2019101056A1 (en) * | 2017-11-21 | 2019-05-31 | 华为技术有限公司 | Configuration method and apparatus |
| CN109861867A (en) * | 2019-02-28 | 2019-06-07 | 新华三技术有限公司 | A kind of MEC method for processing business and device |
| CN110351202A (en) * | 2019-07-09 | 2019-10-18 | 北京锐安科技有限公司 | 5G core net traffic packet method, apparatus, equipment and computer storage medium |
| CN110798409A (en) * | 2019-10-31 | 2020-02-14 | 深信服科技股份有限公司 | Traffic processing method, device and storage medium |
-
2020
- 2020-08-04 CN CN202010773767.3A patent/CN114079637B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102014039A (en) * | 2009-09-07 | 2011-04-13 | 华为技术有限公司 | Data transmission method and access point |
| CN108111320A (en) * | 2016-11-24 | 2018-06-01 | 大唐移动通信设备有限公司 | A kind of local service charging method, server and charging gateway |
| CN108243456A (en) * | 2016-12-23 | 2018-07-03 | 中国电信股份有限公司 | Policy control method and strategy controller |
| CN109218379A (en) * | 2017-07-05 | 2019-01-15 | 维布络有限公司 | Data processing method and system in environment of internet of things |
| CN107529178A (en) * | 2017-08-30 | 2017-12-29 | 南京中科智达物联网系统有限公司 | A kind of schoolyard mobile phone management system and method based on MEC technologies |
| WO2019101056A1 (en) * | 2017-11-21 | 2019-05-31 | 华为技术有限公司 | Configuration method and apparatus |
| CN108174421A (en) * | 2018-03-05 | 2018-06-15 | 重庆邮电大学 | A kind of data distribution method based on MEC auxiliary in 5G networks |
| CN109861867A (en) * | 2019-02-28 | 2019-06-07 | 新华三技术有限公司 | A kind of MEC method for processing business and device |
| CN110351202A (en) * | 2019-07-09 | 2019-10-18 | 北京锐安科技有限公司 | 5G core net traffic packet method, apparatus, equipment and computer storage medium |
| CN110798409A (en) * | 2019-10-31 | 2020-02-14 | 深信服科技股份有限公司 | Traffic processing method, device and storage medium |
Non-Patent Citations (2)
| Title |
|---|
| "Approved_Report_v100_SA2_120".3GPP tsg_sa\WG2_Arch.2017,全文. * |
| "移动边缘计算技术及其本地分流方案";张建敏;谢伟良;杨峰义;武洲云;谢亮;;《电信科学》(07);正文第3节 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN114079637A (en) | 2022-02-22 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| KR102514250B1 (en) | Method, Apparatus and System for Selecting a Mobile Edge Computing Node | |
| EP3726791B1 (en) | Network-function monitoring and control | |
| EP3905628B1 (en) | Message sending method and related device | |
| US20160241664A1 (en) | Method, device, and system for redirecting data by using service proxy | |
| EP3278526B1 (en) | System, apparatus and method for load balancing | |
| CN104468866A (en) | Fast roaming method for multi-gateway terminal in wireless local area network | |
| CN106941507A (en) | The dispatching method and device of request message | |
| EP3313031B1 (en) | Sdn-based arp realization method and apparatus | |
| WO2009139914A1 (en) | Method and system for transmission of fragmented packets on a packet-based communication network | |
| EP3751824A1 (en) | Using dns to communicate mp-tcp capability of server devices | |
| US10136375B2 (en) | Method for service data management, apparatus, and system | |
| CN112968965B (en) | Metadata service method, server and storage medium for NFV network node | |
| WO2023221452A1 (en) | Packet processing system and method, device, and storage medium | |
| CN116633934A (en) | Load balancing method, device, node and storage medium | |
| EP3089422B1 (en) | Content distribution method, apparatus and system | |
| CN109120556B (en) | A kind of method and system of cloud host access object storage server | |
| CN110601989A (en) | Network traffic balancing method and device | |
| CN112866113B (en) | Method, system, computer device and storage medium for ARP proxy in routing packet forwarding | |
| CN114079637B (en) | Service processing method and system based on mobile edge calculation | |
| WO2023186109A1 (en) | Node access method and data transmission system | |
| CN107592261A (en) | Message processing method, device and router | |
| CN107404438A (en) | Network route method and network route system | |
| CN110582090A (en) | CDN scheduling method, scheduling system and MEC network element | |
| CN114745456A (en) | Message processing method and device and network address translation equipment | |
| CN113452754A (en) | CoAP protocol-based power distribution Internet of things network communication system |
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 |