CN106231613B - Distribution strategy generation method and device and network optimization system - Google Patents
Distribution strategy generation method and device and network optimization system Download PDFInfo
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Abstract
The invention discloses a distribution strategy generation method, a distribution strategy generation device and a network optimization system, wherein the method comprises the following steps: receiving at least one service data stream from a shunting device, wherein each service data stream corresponds to a first time and a second time, the first time is the round-trip time of the service data stream between a mobile terminal and the shunting device, and the second time is the time for returning the service data stream to the shunting device again after the service data stream passes through a service provider from the shunting device; screening the service data flow meeting the analysis rule from at least one service data flow according to the first time and the second time; generating a distribution strategy according to the service data flow meeting the analysis rule; and sending the distribution strategy to the shunting equipment so that the shunting equipment determines the service data stream to be optimized according to the distribution strategy, thereby avoiding the optimization system from optimizing the service data stream without optimization effect and improving the optimization efficiency of the optimization system.
Description
Technical Field
The present invention relates to the field of network optimization technologies, and in particular, to a distribution policy generation method, an apparatus, and a network optimization system.
Background
The network experience index is the most important index for operators to measure the network work effect, and the operators monitor the network experience index of the whole network system in real time and optimize the network experience index to improve the user service experience.
In a general network optimization system, as shown in fig. 1, the system includes a Mobile terminal (MS), a Gateway GPRS Support Node (GGSN), a offloading device, an optimization system and a Service Provider (SP), or the Internet. In the index optimization process, the operator network service data flow passes through the GGSN to the shunting equipment, the shunting equipment distributes the network service data flow meeting the conditions to the optimization system according to the shunting strategy of the network operator, and for the network service data flow not meeting the conditions, the shunting equipment directly sends the network service data flow to the SP; the optimization system returns the service data stream to the shunting equipment after optimizing the service data stream, the shunting equipment distributes the optimized service data stream, sends the uplink service data stream to the SP or the internet and sends the downlink service data stream to the MS.
The process of optimizing the service data stream is based on a fixed distribution strategy, and in the process of optimizing the service data stream sent by the distribution equipment by the optimization system, some service data streams without optimization effect are also optimized, and the service data streams without optimization effect occupy network resources, so that the time delay is increased, the cost for an operator to deploy the optimization system is increased, and the optimization efficiency is reduced.
Disclosure of Invention
The application provides a distribution strategy generation method, a distribution strategy generation device and a network optimization system, and discloses the following technical scheme in order to solve the technical problem:
in a first aspect, an embodiment of the present application provides a distribution policy generation method, including: the measurement receiving device receives at least one service data stream from the shunting equipment, wherein each service data stream corresponds to a first time and a second time, the first time is represented as the round-trip time of the service data stream transmitted between the MS and the shunting equipment, and the second time is represented as the time taken for the service data stream to return to the shunting equipment again after the service data stream is transmitted from the shunting equipment to reach the service provider SP;
the measurement receiving device screens the service data flows meeting the analysis rule from the at least one service data flow according to the first time and the second time; generating a distribution strategy according to the service data flow meeting the analysis rule; and sending the generated distribution strategies to the distribution equipment so that the distribution equipment determines the service data streams needing to be optimized according to the distribution strategies, and then sending the service data streams meeting the analysis rules to an optimization system for optimization by the distribution equipment.
In the method provided by the aspect, the measurement analysis device screens the acquired service data stream, issues a distribution strategy to the service data stream meeting the distribution rule, and does not generate the distribution strategy if the service data stream does not meet the service rule, so that the distribution equipment is prevented from sending the service data stream without optimization effect to the optimization system, the optimization system reduces the processing of the service data stream which cannot be optimized, the cost of an operator for deploying the optimization system is saved, and the optimization efficiency of the optimization system is improved.
With reference to the first aspect, in a first implementation of the first aspect, the specific process of the metric analysis device screening, according to the first time and the second time, a service data flow that meets an analysis rule from the at least one service data flow includes:
the measurement analysis device calculates a difference value between first time and second time from the at least one service data stream, compares the difference value with a first set value, the first set value is a preset threshold value, and screens out the service data stream with the difference value smaller than the first set value; and the screened service data flow also needs to meet the condition that the larger value of the first time and the second time is larger than a second set value.
In this implementation, when the metric analysis device filters the service data stream, the filtered analysis rule is set according to the throughput of the TCP protocol, the round trip time RTT of the service data stream, and the packet loss rate, so that the service data stream is filtered according to the analysis rule, so that the service data stream satisfying the analysis rule can not only improve the throughput of the TCP, but also shorten the round trip time of the service data stream transmitted between the shunting device and the SP, and reduce the packet loss rate, thereby further improving the optimization efficiency of the system.
With reference to the first aspect, in a second implementation of the first aspect, after the metric analysis apparatus sends the distribution policy to the offloading device, the method further includes the following steps: the measurement analysis system receives a new service data stream from the shunting equipment; generating a new distribution strategy meeting the analysis rule according to a new service data stream; judging whether the new distribution strategy is the same as the distribution strategy generated before the new service data stream is received; and if not, sending the new distribution strategy to the shunting equipment.
In the implementation, the metric analysis device screens the received service data stream in real time and compares whether the received service data stream is the same as the distribution strategy generated at the previous moment, so that the distribution strategy can be dynamically refreshed continuously according to the experience index result of the operator network, and the shunting equipment sends the service data stream to the optimization system according to the refreshed distribution strategy, thereby realizing the dynamic optimization process of the optimization system on the service data stream, further improving the optimization effect and enabling the optimization effect to achieve the best current network.
In a second aspect, an embodiment of the present application provides a distribution policy generation apparatus, which includes a functional unit configured to execute the steps in the implementations of the first aspect and the first aspect. The functional units may be implemented by hardware, or may be implemented by hardware executing corresponding software.
In a third aspect, an embodiment of the present application provides a method for distributing service data streams, including: the shunting equipment receives at least one distribution strategy sent by the measurement analysis device; the distribution strategies are generated by a measurement analysis system, satisfy analysis rules, and respectively match the service data flow from the MS with the received distribution strategies; and according to the matching result, the shunting equipment forwards the service data streams meeting the distribution strategy to an optimization system, so that the optimization system optimizes the service data streams meeting the optimization conditions.
With reference to the third aspect, in a first implementation of the third aspect, the classifying device, before receiving the distribution policy, further includes: the shunting equipment receives the service data flows from the MS, copies one part of the received service data flows and sends the copied service data flows to the measurement analysis device; the classification device is also used for sending the service data flows from the MS to the SP and receiving the service data flows which return to the shunting device after reaching the SP; and copying and sending the returned service data flows to the measurement analysis device, and simultaneously sending the returned service data flows to the MS by the shunting equipment.
In a fourth aspect, corresponding to the method provided in the third aspect of the present application, an embodiment of the present application further provides an apparatus for distributing service data streams, where the apparatus includes a functional unit configured to execute the third aspect and the middle step of the first implementation manner of the third aspect. The functional units may be implemented by hardware, or may be implemented by hardware executing corresponding software.
In a fifth aspect, an embodiment of the present application provides a network optimization system, including: a flow splitting device, an optimization system and a metric analysis apparatus, wherein,
the shunting equipment is used for receiving a service data stream from the mobile terminal, copying the service data stream and sending the copied service data stream to the measurement analysis device;
the shunting equipment is also used for sending the service data stream to the SP, receiving the service data stream returned from the SP, copying the returned service data stream and sending the copied service data stream to the measurement analysis device;
the measurement analysis device is used for receiving at least one service data stream from the shunting equipment, wherein each service data stream corresponds to a first time and a second time, the first time is the round-trip time of the service data stream between the mobile terminal MS and the shunting equipment, and the second time is the time for returning the service data stream to the shunting equipment again after the service data stream passes through the service provider SP from the shunting equipment;
the metric analysis device is further configured to screen, according to the first time and the second time, the service data flows that meet an analysis rule from the at least one service data flow; generating a distribution strategy according to the service data flow meeting the analysis rule; sending the distribution strategy to the distribution equipment so that the distribution equipment determines the service data flow to be optimized according to the distribution strategy;
the shunting equipment is also used for receiving at least one distribution strategy sent by the measurement analysis device; respectively matching the service data flow from the MS with the distribution strategy; forwarding the service data stream meeting the distribution strategy to an optimization system;
and the optimization system is used for receiving the service data stream which is sent by the shunting equipment and meets the distribution strategy, and optimizing the service data stream.
With reference to the fifth aspect, in a first implementation of the fifth aspect, the metric analyzing apparatus is further configured to receive a new service data stream from the offloading device; generating a new distribution strategy meeting the analysis rule according to the new service data flow; judging whether the new distribution strategy is the same as a distribution strategy generated before the new service data stream is received; and if not, sending the new distribution strategy to the shunting equipment.
In a sixth aspect, an embodiment of the present application provides a metric analysis apparatus, which includes a processor and a memory, where the memory is used to store an application program code that supports the metric analysis apparatus to execute the implementation methods of the first aspect and the first aspect of the present application, and the processor is configured to execute the application program stored in the memory. The metric analysis apparatus may further include a communication interface for communicating the metric analysis apparatus with other devices in the network optimization system.
In a seventh aspect, an embodiment of the present application provides a streaming device, which includes a processor and a memory, where the memory is used to store an application program code that supports the streaming device to execute the third aspect and the first implementation method of the third aspect of the present application, and the processor is configured to execute an application program stored in the memory. The offloading device may further include a communication interface for communicating the offloading device with other devices in the network optimization system.
In an eighth aspect, a computer storage medium is further provided, where the computer storage medium may store a program, and when the program is executed, part or all of the steps in each implementation manner of the distribution policy generation method, apparatus, and network optimization system provided in this application may be implemented.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments will be briefly described below, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without inventive exercise.
Fig. 1 is a schematic structural diagram of a network optimization system in the prior art;
fig. 2 is a schematic structural diagram of another network optimization system provided in an embodiment of the present application;
fig. 3 is a schematic flowchart of a distribution policy generation method according to an embodiment of the present application;
fig. 4 is a schematic flowchart of another distribution policy generation method provided in an embodiment of the present application;
fig. 5 is a flowchart illustrating a method for distributing service data streams according to an embodiment of the present application;
fig. 6 is a schematic flowchart of a service data flow optimization provided in an embodiment of the present application;
fig. 7 is a block diagram of a distribution policy generation apparatus according to an embodiment of the present application;
fig. 8 is a block diagram of a device for distributing service data streams according to an embodiment of the present application;
fig. 9 is a schematic structural diagram of a metric analysis apparatus according to an embodiment of the present application;
fig. 10 is a schematic structural diagram of a shunt device according to an embodiment of the present application.
Detailed Description
In an embodiment of the present application, a distribution policy generation method and apparatus, and a network optimization system are provided, where, as shown in fig. 2, an optimization system based on network experience metric data is a schematic structural diagram of the network optimization system provided in this embodiment, and the network optimization system includes: mobile terminal (English: Mobile Station, abbreviation: MS), Gateway GPRS Support Node (English: Gateway GPRS Support Node, abbreviation: GGSN), distribution equipment, optimization system and service provider SP, or Internet, and measurement analysis device.
The mobile terminal MS comprises: mobile phones, smart phones, tablet computers, personal digital assistants, mobile internet devices, wearable devices, electronic book readers, and the like. The mobile device of the user accesses the service content in the network through the access base station and generates service data, and the service data is transmitted in the network system to form a service data stream.
The MS communicates with the network through a base station, such as an eNodeB, and when a plurality of MSs enter the network system, each MS establishes a communication connection with the network system and performs data transmission therebetween, so that a plurality of service data flows are generated. The GGSN mainly functions as a gateway, and the service data streams first pass through the GGSN before reaching the offloading device, and when the GGSN receives the service data streams of different MSs, the received service data streams are respectively sent to the offloading device.
The shunting equipment is used for sending the service data stream meeting the optimization conditions to the optimization system and sending the service data stream not meeting the optimization conditions to the SP or the Internet according to a preset distribution strategy. When the optimization system receives the service data streams sent by the shunting equipment, the optimization processing is carried out on the received service data streams.
The measurement analysis device is used for performing measurement analysis on the received service data stream, generating a distribution strategy according to the measurement analysis result, and sending the generated distribution strategy to the shunting equipment. The distribution strategy is used for indicating the distribution equipment to distribute different service data flows, so that the service data flows meeting the optimization conditions are distributed to the optimization system, and the service data flows without optimization effects are prevented from being distributed to the optimization system.
The distribution policy described in the embodiments of the present application generally includes a combination of one or more of the following:
a) full flow;
b) based on GGSN;
c) a user IP section;
d) destination IP segment/Domain name Domain;
e) a time period;
f) traffic, such as HTTP traffic, 80/8080 port traffic.
One offloading policy may match and control one service data flow, and if one offloading policy is a combination policy formed by combining two or more offloading policies, the combination policy may control distribution of two or more service data flows.
In order to improve the optimization efficiency of an optimization system and save the cost for an operator to deploy the optimization system, an embodiment of the present application provides a distribution policy generation method, as shown in fig. 3, where the method includes:
step 301: when the MS accesses a network system and performs data communication with SP/Internet, the generated service data flow reaches a measurement analysis system through a gateway GGSN, and a measurement analysis device receives at least one service data flow from a shunting device, wherein each service data flow corresponds to a first time and a second time respectively, the first time is the round-trip time of the service data flow between a mobile terminal MS and the shunting device, and the second time is the time used by the service data flow to return to the shunting device again after the service data flow passes through a service provider SP from the shunting device.
Wherein the first time and the second time may be recorded and calculated by a timer. The starting Time of the first Time is the Time when the MS sends the service data stream, the terminating Time is the Time when the service data stream returns to the MS again after reaching the offloading device for the first Time, and the first Time is also called a first Round Trip Time (english: Round Trip Time 1, abbreviation: RTT 1); the starting Time of the second Time is a Time when the service data stream sent by the MS reaches the offloading device for the first Time, the terminating Time is a Time when the service data stream returns to the offloading device after passing through the SP, and the second Time is also called a second Round Trip Time (english: Round Trip Time 2, abbreviation: RTT2), as shown in fig. 4.
Step 302: and screening the service data flows meeting the analysis rule from the at least one service data flow according to the first time and the second time. The service data flow is mainly based on the service data flow carried by TCP, such as page browsing.
Screening the service data stream meeting the analysis rule, and specifically judging whether the service data stream meets the analysis rule;
the analysis rule includes: and screening the service data flow of which the difference value of the first time and the second time is less than a first set value and the larger value of the first time and the second time is greater than a second set value from the at least one service data flow.
Specifically, in the process of the analysis rule formulation: according to the research and introduction of the TCP background, the relation between the throughput and the congestion window (cwnd), the Round Trip Time (RTT), the Maximum Segment Size (MSS), and the packet loss rate (p) of the TCP protocol can be expressed by the following formula:
the TCP transparent proxy is a basic mechanism for TCP optimization and is used for improving the end-to-end throughput of a TCP connection. As shown in fig. 4, the optimization system implements a TCP transparent proxy function, so that the connection between the MS and the SP/Internet is divided into two segments, i.e., the MS to the optimization system and the SP/Internet to the optimization system, but neither MS nor SP/Internet is aware of them, and therefore, both are considered as a connection established with the opposite end.
From equation (1) we can obtain:
if the processing delay introduced by the TCP transparent proxy is not considered in the optimization system, the TCP transparent proxy mechanism can improve the end-to-end throughput of the TCP connection. When RTT1 is equal to RTT2, the throughput when the TCP transparent proxy is executed is 2 times or more than 2 times the throughput when the TCP transparent proxy is not executed. As can also be seen from fig. 4, in order to improve the throughput of TCP, it is possible to start with shortening RTT and reducing packet loss rate.
Thus, in the case of established analysis rules: selecting the statistical record with the RTT1 as close as possible to the RTT2 to obtain the analysis rule as follows:
i Average MS RTT Delay-Average SP RTT Delay | < t1 and
Max(Average MS RTT Delay,Average SP RTT Delay)>t2
the times of t1 and t2 are the first setting value and the second setting value, which can be configured manually, for example, t1 is 10ms and t2 is 40ms, which are default settings.
Step 303: and the measurement analysis system generates a distribution strategy according to the service data flow meeting the analysis rule.
In one specific embodiment, the results of the hypothetical metric analysis device screening statistics are as follows:
after the measurement analysis device is subjected to the screening processing of the analysis rules, the information meeting the optimization conditions is obtained: for example,
Location Info ID：4001102，
SP Domain：www.sohu.com。
that is, the content that the distribution policy can describe includes: location Info ID number 4001102, and matching this distribution policy is the traffic data stream that accesses www.sohu.com domain name.
Step 304: and the metric analysis system sends the generated distribution strategy to the distribution equipment, so that the distribution equipment determines the service data flow to be optimized according to the distribution strategy.
According to the generated distribution policy, the metric analysis device sends the distribution policy to the distribution device, and the distribution device receives the distribution policy, for example, the distribution policy is described as Location Info ID 4001102, and the access iswww.sohu.comTraffic data flow of domain names. And sending the data stream to the distribution equipment, and selecting the service data stream matched with the distribution equipment according to the content of the distribution strategy by the distribution equipment to send.
On the other side corresponding to the metric analysis device, the offloading device further includes a method for distributing service data streams, where the method includes:
the shunting equipment receives a service data stream from the MS, copies the service data stream and sends the service data stream to the measurement analysis device; and transmitting the service data stream to the SP and receiving the service data stream returned from the SP so as to record the second time. And copying and sending the returned service data flow to the measurement analysis device, and sending the service data flow to the MS, so that the first time can be recorded and acquired.
The shunting equipment records the first time and the second time by receiving and forwarding the service data stream, and further prepares for screening the service data stream according to the first time and the second time so as to enable the measurement analysis device to generate a distribution strategy. After the metric analysis device generates the distribution policy, the offloading device further performs the following steps, as shown in fig. 5:
step 501: the shunting equipment receives at least one distribution strategy sent by the measurement analysis device;
step 502: the shunting equipment respectively matches the service data flow from the MS with the distribution strategy;
step 503: and the shunting equipment forwards the service data stream meeting the distribution strategy to an optimization system according to the distribution strategy so as to reduce the optimization of the optimization system on the service data stream without optimization effect.
In the distribution policy generation method provided by this embodiment, the measurement analysis device screens the acquired service data stream, distributes the distribution policy to the service data stream that meets the distribution rule, and does not generate the distribution policy to the service data stream that does not meet the service rule, thereby preventing the distribution device from sending the service data stream without optimization effect to the optimization system, so that the optimization system reduces the processing of the service data stream that cannot be optimized, saves the cost for an operator to deploy the optimization system, and prompts the optimization efficiency of the optimization system.
In addition, the distribution strategy is also used for distributing some optimizable service data flows to an optimization system for optimization processing, so that the situation that the optimizable service data flows do not enter the optimization system and further influence the measurement and optimization of network experience indexes is avoided.
And by setting a distribution rule, the service data stream is selectively distributed to the optimization system, so that the optimization efficiency is improved. Further, in this embodiment, since the analysis rule is set according to the throughput of the TCP protocol, the round trip time RTT of the traffic data stream, and the packet loss rate, the traffic data stream is screened according to the traffic rule, so as to improve the throughput of the TCP, shorten the round trip time RTT of the traffic data stream, and reduce the packet loss rate.
It should be noted that, this embodiment only provides one analysis rule set according to the round trip time RTT and the packet loss rate, and other analysis rules, such as an analysis rule set manually, are also within the scope of the present invention as long as the optimization efficiency of the optimization system can be improved.
Further, in order to dynamically monitor the experience index (abbreviated as KQI) of the operator network in real time, the generated distribution policy needs to be refreshed, and the specific refreshing process is as follows:
the measurement analysis device receives a new service data stream from the shunting equipment;
the measurement analysis device generates a new distribution strategy meeting the analysis rule according to the new service data flow; the analysis rule is the same as or different from the analysis rule in the previous embodiment.
The measurement analysis device judges whether the content of the new distribution strategy is the same as that of a distribution strategy generated before the new service data stream is received;
and if the contents of the two compared distribution strategies are not the same, sending the new distribution strategy to the shunting equipment. And if the comparison results are the same, distributing the service data stream according to the current distribution strategy.
In the refresh process provided by this embodiment, the service data stream is screened in real time, and the round trip time RTTDelay data is measured, and if the RTT Delay data changes, the obtained first time and second time also change correspondingly, so as to affect the KQI index, and if the first time and second time change greatly, the KQI index will be decreased, so that the distribution strategy is refreshed according to the change of the detected round trip time RTT Delay data, so that the optimization effect is optimal.
In another specific embodiment, as shown in fig. 6, a complete flow diagram of the network optimization system is shown:
step 601: the mobile terminal MS accesses the network system to generate a service data flow, and the MS sends the service data flow to the GGSN and starts timing for the first time;
step 602: GGSN receives the service data flow from MS and sends it to the shunting device;
step 603: the shunting equipment copies the service data stream after receiving the service data stream and sends the service data stream to the measurement analysis device; simultaneously transmitting the service data stream to the SP/Internet (step 604), and starting to record a second time;
step 605: the SP/Internet receives the service data stream, processes the service data stream and sends the processed service data stream to the shunting equipment;
step 606: after the shunting equipment receives the service data stream returned from the SP/Internet, copying the returned service data stream and sending the copied service data stream to the measurement analysis device; simultaneously sending the service data stream to the MS via the GGSN (i.e., step 607 and step 608); when the service data flow reaches MS, completing the recording of the first time, namely the first round trip time RTT1Delay of the service data flow; when the service data flow returns to the shunting equipment after passing through SP/Internet for the first time, finishing recording the second time, namely the second round trip time RTT6Delay of the service data flow;
step 609: after the measurement analysis device acquires the first time and the second time, the measurement analysis device performs screening analysis on the service data streams, judges whether each service data stream meets an analysis rule (or an optimization condition), generates a distribution strategy, and automatically issues the generated distribution strategy to the shunting equipment through an internal interface;
step 610: the measurement analysis device issues the generated distribution strategy to the distribution equipment, so that the distribution equipment can distribute the service data stream to an optimization system or SP/Internet according to the distribution strategy sent by the measurement analysis device;
step 611 to step 612: the MS sends the generated service data stream to the offloading device through the GGSN in real time, and the offloading device copies one copy to the metric analysis device after receiving the service data stream from the MS each time (step 613);
step 614: the shunting equipment forwards the service data stream meeting the distribution rule to an optimization system for optimization processing according to the distribution strategy sent by the measurement analysis device; the service data stream which does not meet the distribution rule is sent to SP/Internet (step 616 to step 617);
step 615: after the optimization equipment processes the optimization of the service data streams meeting the analysis rules, the processed service data streams are returned to the shunting equipment;
steps 618 to 619: after the shunting equipment receives the service data flow returned from SP/Internet again, the service data flow copy value measurement analysis device screens the service data flow meeting the analysis rule at the round-trip time recorded by the second service data flow sent by MS, and generates a distribution strategy according to the screening result.
According to the method provided by the embodiment, the flow entering the optimization system meets the optimization condition, so that the flow processing which cannot be optimized is reduced, the cost of an operator for deploying the optimization system is saved, and the optimization efficiency of the optimization system is improved. In addition, the distribution strategy can be dynamically refreshed according to the KQI index result, such as the access rate of the service, so that the optimization effect reaches the best in the current network, and the optimization effect of the network system is further improved.
Corresponding to the foregoing embodiment of the distribution policy generation method, an embodiment of the present application further provides a distribution policy generation apparatus, as shown in fig. 7, where the apparatus includes: receiving section 710, filtering section 720, generating section 730, and transmitting section 740.
A receiving unit 710, configured to receive at least one service data stream from a offloading device, where each service data stream corresponds to a first time and a second time, where the first time is a round-trip time of the service data stream between a mobile terminal MS and the offloading device, and the second time is a time for the service data stream to return to the offloading device again after passing through a service provider SP from the offloading device;
a screening unit 720, configured to screen, according to the first time and the second time, a service data flow that meets an analysis rule from the at least one service data flow;
specifically, the screening unit 720 screens the at least one traffic data stream for which the difference between the first time and the second time is smaller than a first set value and the larger of the first time and the second time is greater than a second set value.
Because the analysis rule is set according to the throughput of the TCP protocol, the round trip time RTT of the service data flow and the packet loss rate, the service data flow is screened through the service rule, so that the throughput of the TCP is improved, the round trip time RTT of the service data flow is shortened, the packet loss rate is reduced, and the optimization efficiency is further improved.
A generating unit 730, configured to generate a distribution policy according to the screened service data stream that meets the analysis rule;
a sending unit 740, configured to send the distribution policy to the offloading device, so that the offloading device determines, according to the distribution policy, a service data stream that needs to be optimized.
In the distribution policy generation apparatus provided in this embodiment, the obtained service data streams are screened, the distribution policy is issued for the service data streams meeting the distribution rule, and the distribution policy is not generated for the service data streams not meeting the service rule, so that the distribution device is prevented from sending the service data streams without optimization effect to the optimization system, so that the optimization system reduces processing of the service data streams that cannot be optimized, saves cost for an operator to deploy the optimization system, and prompts optimization efficiency of the optimization system.
In order to improve the optimization effect and enable the distribution strategy generated by the metric analysis system to meet the dynamic change of the KQI index, the device further comprises a judging unit, wherein the judging unit is used for judging whether the generated distribution strategy needs to be refreshed, and the specific judging process is as follows:
a receiving unit 710, configured to receive a new service data stream, where the new service data stream arrives at a offloading device after an MS passes through a GGSN, and is sent by the offloading device; the new service data stream is generated due to new service data generated after different MSs enter the network optimization system.
The generating unit 730 is further configured to generate new distribution policies that meet the preset analysis rule according to the new service data stream, and send the new distribution policies to the offloading device;
the judging unit is used for receiving the new distribution strategies, and comparing whether the content of the generated distribution strategies is the same as that of the distribution strategies generated before the new distribution strategies are received;
if the determination is not the same, the sending unit 740 is configured to send the new distribution policy to the offloading device, so that the offloading device can send the service data stream according to the new distribution policy; if the judgment is the same, the refreshing is not needed, and the service data flow is sent according to the originally generated distribution strategy.
As shown in fig. 8, an embodiment of the present application further provides an apparatus for distributing a service data stream, where the apparatus corresponds to a method for distributing a service data stream in the foregoing embodiments, and the apparatus includes: a distribution policy receiving unit 810, a traffic data stream matching unit 820, and a traffic data stream transmitting unit 830, wherein,
a distribution policy receiving unit 810, configured to receive a service data flow from the MS, copy the service data flow, and send the copied service data flow to the metric analysis apparatus; sending the service data stream to SP/Internet, and receiving the service data stream returned from the SP/Internet; and copying and sending the returned service data flow to the measurement analysis device, and sending the service data flow to the MS.
A distribution policy receiving unit 810, further configured to receive at least one distribution policy sent by the metric analysis apparatus;
a service data flow matching unit 820, configured to match service data flows from the MS with the distribution policies respectively;
a service data stream sending unit 830, configured to forward the matched service data stream to the optimization system according to the distribution policy; for the service data flows which do not meet the analysis rules or are not matched, the device sends the service data flows to the SP/Internet.
The device for distributing the service data streams provided in this embodiment receives the distribution policy from the metric analysis device through the distribution policy receiving unit, so that the device can selectively send the service data streams meeting the conditions to the optimization system according to the distribution policy, and the problems that the optimization efficiency is reduced and the deployment cost of an operator is increased due to the fact that the service data streams without the optimization effect are sent to the optimization system are avoided.
In this embodiment, the distribution policy generation means and the means for distributing the traffic data stream are presented in the form of functional units. An "element" may refer to an application-specific integrated circuit (ASIC), a processor and memory that execute one or more software or firmware programs, an integrated logic circuit, and/or other devices that provide the described functionality.
An embodiment of the present application further provides a network optimization system, including: a mobile terminal MS, a GGSN, a shunting device, an optimization system and a SP, wherein the system also comprises a metric analysis device,
the mobile terminal is used for sending the service data flow to the shunting equipment through the GGSN;
the flow distribution equipment is used for receiving the service data flow passing through the GGSN, copying the service data flow and sending the service data flow to the measurement analysis device;
the shunting equipment is also used for sending the service data stream to the SP, receiving the service data stream returned from the SP, copying the returned service data stream and sending the copied service data stream to the measurement analysis device;
the measurement analysis device is used for receiving at least one service data stream from the shunting equipment, wherein each service data stream corresponds to a first time and a second time, the first time is the round-trip time of the service data stream between the mobile terminal MS and the shunting equipment, and the second time is the time for returning the service data stream to the shunting equipment again after the service data stream passes through the service provider SP from the shunting equipment;
the metric analysis device is further configured to screen, according to the first time and the second time, the service data flows that meet an analysis rule from the at least one service data flow; generating a distribution strategy according to the service data flow meeting the analysis rule; sending the distribution strategy to the distribution equipment so that the distribution equipment determines the service data flow to be optimized according to the distribution strategy;
the offloading device is further configured to receive at least one distribution policy sent by the metric analysis apparatus; matching each of the distribution policies with a traffic data flow from the MS; forwarding the service data stream meeting the distribution strategy to an optimization system;
and the optimization system is used for receiving the service data stream which is sent by the shunting equipment and meets the distribution strategy, and optimizing the service data stream.
The metric analysis device is further configured to receive a new traffic data stream from the offloading equipment; generating a new distribution strategy meeting the analysis rule according to the new service data flow; judging whether the new distribution strategy is the same as a distribution strategy generated before the new service data stream is received; and if not, sending the new distribution strategy to the shunting equipment.
As shown in fig. 9, in another embodiment of the present embodiment, a metric analysis device is provided, which includes a processor 901, a communication bus 902, a memory 903, and at least one communication interface 904.
The communication bus 902 may include a path to communicate information between the network optimization systems described above. The communication interface 904 may be implemented using any device, such as a transceiver, for communicating with other devices or communication Networks, such as an ethernet, a Radio Access Network (RAN), a Wireless Local Area Network (WLAN), etc.
Specifically, the metric analysis apparatus may be caused to acquire, through the communication interface 904, at least one traffic data stream copied from the offloading device, and extract the first time and the second time from each of the traffic data streams; the first time is the time for returning the service data stream to the MS again after the service data stream passes from the mobile terminal MS to the offloading device, and the second time is the time for returning the service data stream to the offloading device again after the service data stream passes through the SP from the offloading device.
And realizing communication with other equipment in the optimization system, such as transmission of service data stream between the MS and the GGSN, and service data interaction between the optimization system and the SP/Internet.
A processor 901, configured to screen, according to the first time and the second time, a service data flow that meets an analysis rule from the at least one service data flow; generating a distribution strategy according to the service data flow meeting the analysis rule; and sending the distribution strategy to the distribution equipment so that the distribution equipment determines the service data flow to be optimized according to the distribution strategy.
The processor 901 is further configured to screen, from the at least one service data stream, a service data stream in which a difference between the first time and the second time is smaller than a first set value, and a larger value of the first time and the second time is greater than a second set value.
After receiving a new service data stream, generating a distribution strategy corresponding to the service data stream meeting the analysis rule; judging whether the distribution strategy is the same as a distribution strategy generated before receiving a new service data stream; if not, refreshing the distribution strategy to the distribution strategy correspondingly generated after receiving the new service data stream, and sending the distribution strategy to distribution equipment, so that the distribution equipment sends the service data stream according to the refreshed distribution strategy.
A memory 903 for storing application program codes for executing the scheme of the present application, and the processor 901 controls the execution. The processor 901 is configured to execute application program code stored in the memory 903.
The memory 903 is further configured to store the service data streams from the offloading device, the first time and the second time corresponding to each service data stream, the distribution policy generated by the processor 901, the analysis rule, and other information.
As shown in fig. 10, the embodiment of the present application further provides a shunting device, which includes a processor 1001, a communication bus 1002, a memory 1003, and at least one communication interface 1004.
The communication bus 1002 may include a path to communicate information between the network optimization systems described above. The communication interface 1004 may be any device, such as a transceiver, for communicating with other devices or communication Networks, such as a metric analysis device, an optimization system, an ethernet, a Radio Access Network (RAN), a Wireless Local Area Network (WLAN), etc. In particular, the offloading device may be enabled to receive, through the communication interface 1004, the at least one distribution policy sent by the metric analysis apparatus, and receive the forwarded traffic data stream.
The processor 1001 is specifically configured to receive service data flows from the MS, match the service data flows with the distribution policy sent by the metric analysis device, and forward the service data flows that satisfy the distribution policy to the optimization system according to a matching result.
Further, the offloading device is further configured to receive a service data flow from the MS through the communication interface 1004, copy the service data flow, and send the copied service data flow to the metric analysis apparatus; sending the service data stream to SP/Internet, and receiving the service data stream returned from the SP/Internet; and copying and sending the returned service data flow to the measurement analysis device, and sending the service data flow to the MS.
The memory 1003 is used for storing the distribution strategy sent by the metric analysis device and the received service data stream sent by the devices such as MS, GGSN, optimization system, SP/Internet, etc.
The memory 1003 is also used for storing application program codes for executing the scheme of the present application, and the processor 1001 controls the execution. The processor 1001 is configured to execute application program codes stored in the memory 1003.
Wherein the Memory 903 in the metric analysis apparatus and the Memory 1003 in the shunting device may be a Read-Only Memory (ROM) or other types of static Memory devices that can store static information and instructions, a Random Access Memory (RAM) or other types of dynamic Memory devices that can store information and instructions, an Electrically Erasable programmable Read-Only Memory (EEPROM), a Compact Disc Read-Only Memory (CD-ROM) or other optical Disc storage, optical Disc storage (including Compact Disc, laser Disc, optical Disc, digital versatile Disc, blu-ray Disc, etc.), a magnetic Disc storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and that can be accessed by a computer, but is not limited thereto. The memory may be self-contained and coupled to the processor via a bus. The memory may also be integral to the processor.
In a specific implementation, the processors 901 and 1001 may include one or more CPUs, and each CPU may be a single-Core (single-Core) processor or a multi-Core (multi-Core) processor. A processor herein may refer to one or more devices, circuits, and/or processing cores for processing data (e.g., computer program instructions).
In particular implementations, the computer device may also include input/output (I/O) interfaces 905 and 1005, as one embodiment. For example, the output device may be a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display device, a Cathode Ray Tube (CRT) display device, a projector (projector), or the like. The input device may be a mouse, a keyboard, a touch screen device or a sensing device, etc.
An embodiment of the present application further provides a computer storage medium, which is used to store computer software instructions for the distribution policy generation apparatus and the distribution service data flow apparatus shown in fig. 7 or fig. 8, and which contains a program designed to execute the above method embodiment. By executing the stored program, generation of a distribution policy and distribution of the service data according to the generated distribution policy can be realized.
While the invention has been described in connection with various embodiments, other variations to the disclosed embodiments can be understood and effected by those skilled in the art in practicing the claimed invention, from a review of the drawings, the disclosure, and the appended claims. In the claims, the word "comprising" does not exclude other elements or steps, and the word "a" or "an" does not exclude a plurality. A single processor or other unit may fulfill the functions of several items recited in the claims. The mere fact that certain measures are recited in mutually different dependent claims does not indicate that a combination of these measures cannot be used to advantage.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, apparatus (device), system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein. A computer program is stored/distributed on a suitable medium supplied together with or as part of other hardware.
The present invention has been described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (devices), systems, and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
While the invention has been described in conjunction with specific features and embodiments thereof, it will be evident that various modifications and combinations can be made thereto without departing from the spirit and scope of the invention. Accordingly, the specification and figures are merely exemplary of the invention as defined in the appended claims and are intended to cover any and all modifications, variations, combinations, or equivalents within the scope of the invention. It will be apparent to those skilled in the art that various changes and modifications may be made in the present invention without departing from the spirit and scope of the invention. Thus, if such modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include such modifications and variations.
Claims (6)
1. A distribution strategy generation method, characterized in that the method comprises:
receiving at least one service data stream from a shunting device, wherein each service data stream corresponds to a first time and a second time, the first time is the round-trip time of the service data stream between a mobile terminal (MS) and the shunting device, and the second time is the time for the service data stream to return to the shunting device again after passing through a Service Provider (SP) from the shunting device;
screening the service data flow meeting the analysis rule from the at least one service data flow according to the first time and the second time;
generating a distribution strategy according to the screened service data flow meeting the analysis rule;
sending the distribution strategy to the distribution equipment so that the distribution equipment determines the service data flow to be optimized according to the distribution strategy;
wherein, according to the first time and the second time, screening the service data flows meeting the analysis rule from the at least one service data flow comprises:
and screening the service data flow of which the difference value of the first time and the second time is less than a first set value and the larger value of the first time and the second time is greater than a second set value from the at least one service data flow.
2. The method of claim 1, wherein sending the distribution policy to the offloading device further comprises:
receiving a new service data stream from the shunting equipment;
generating a new distribution strategy meeting the analysis rule according to the new service data flow;
judging whether the new distribution strategy is the same as a distribution strategy generated before the new service data stream is received;
and if not, sending the new distribution strategy to the shunting equipment.
3. A distribution policy generation apparatus, characterized in that the apparatus comprises:
a receiving unit, configured to receive at least one service data stream from a offloading device, where each service data stream corresponds to a first time and a second time, where the first time is a round-trip time of the service data stream between an MS and the offloading device, and the second time is a time taken for the service data stream to return to the offloading device again after passing through an SP from the offloading device;
the screening unit is used for screening the service data streams meeting the analysis rule from the at least one service data stream according to the first time and the second time;
a generating unit, configured to generate a distribution policy according to the screened service data stream that satisfies the analysis rule;
a sending unit, configured to send the distribution policy to the offloading device, so that the offloading device determines, according to the distribution policy, a service data stream that needs to be optimized;
the screening unit is specifically configured to screen, from the at least one service data flow, a service data flow in which a difference between the first time and the second time is smaller than a first set value, and a larger value of the first time and the second time is larger than a second set value.
4. The apparatus of claim 3, further comprising a determination unit,
the receiving unit is further configured to receive a new service data stream from the offloading device;
the generating unit is further configured to generate a new distribution policy that satisfies the analysis rule according to the new service data stream;
the judging unit is configured to judge whether the new distribution policy is the same as a distribution policy generated before the new service data stream is received;
and the sending unit is further configured to send the new distribution policy to the offloading device if the determination result is different.
5. A network optimization system, comprising: a flow splitting device, an optimization system and a metric analysis apparatus, wherein,
the shunting equipment is used for receiving a service data stream from the mobile terminal MS, copying the service data stream and sending the copied service data stream to the measurement analysis device;
the shunting equipment is also used for sending the service data stream to a Service Provider (SP), receiving the service data stream returned from the SP, copying the returned service data stream and sending the copied service data stream to a measurement analysis device;
the measurement analysis device is used for receiving at least one service data stream from the shunting equipment, wherein each service data stream corresponds to a first time and a second time, the first time is the round-trip time of the service data stream between the MS and the shunting equipment, and the second time is the time for the service data stream to return to the shunting equipment again after the SP passes from the shunting equipment;
the metric analysis device is further configured to screen, according to the first time and the second time, the service data flows that meet an analysis rule from the at least one service data flow; generating a distribution strategy according to the service data flow meeting the analysis rule; sending the distribution strategy to the distribution equipment so that the distribution equipment determines the service data flow to be optimized according to the distribution strategy; the service data stream meeting the analysis rule comprises: screening the service data flow of which the difference value of the first time and the second time is smaller than a first set value and the larger value of the first time and the second time is larger than a second set value from the at least one service data flow;
the shunting equipment is also used for receiving at least one distribution strategy sent by the measurement analysis device; respectively matching the service data flow from the MS with the distribution strategy; forwarding the service data stream meeting the distribution strategy to an optimization system;
and the optimization system is used for receiving the service data stream which is sent by the shunting equipment and meets the distribution strategy, and optimizing the service data stream.
6. The system of claim 5,
the metric analysis device is further configured to receive a new service data stream from the offloading equipment; generating a new distribution strategy meeting the analysis rule according to the new service data flow; judging whether the new distribution strategy is the same as a distribution strategy generated before the new service data stream is received; and if not, sending the new distribution strategy to the shunting equipment.
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| PCT/CN2017/085492 WO2018019018A1 (en) | 2016-07-27 | 2017-05-23 | Distribution policy generating method and device, and network optimization system |
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| CN107689893B (en) * | 2017-09-18 | 2020-11-13 | 深圳市盛路物联通讯技术有限公司 | Method and system for data stream switching multiplexing |
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| CN103001727A (en) * | 2011-09-09 | 2013-03-27 | 中兴通讯股份有限公司 | Method and system for controlling data transmission of radio network |
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| CN102594926B (en) * | 2011-12-22 | 2015-04-22 | 华中科技大学 | Heterogeneous wireless peer-to-peer (P2P) network file sharing system and file transmission acceleration method |
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| US20150023161A1 (en) * | 2013-07-22 | 2015-01-22 | Seven Networks, Inc. | Modifying system timers for optimizing mobile traffic management |
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| CN103001727A (en) * | 2011-09-09 | 2013-03-27 | 中兴通讯股份有限公司 | Method and system for controlling data transmission of radio network |
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