CN102664767A - IP-based WLAN network data QOS analysis method - Google Patents
IP-based WLAN network data QOS analysis method Download PDFInfo
- Publication number
- CN102664767A CN102664767A CN2012101144010A CN201210114401A CN102664767A CN 102664767 A CN102664767 A CN 102664767A CN 2012101144010 A CN2012101144010 A CN 2012101144010A CN 201210114401 A CN201210114401 A CN 201210114401A CN 102664767 A CN102664767 A CN 102664767A
- Authority
- CN
- China
- Prior art keywords
- wlan
- qos
- data
- network
- quality
- 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.)
- Pending
Links
Images
Landscapes
- Data Exchanges In Wide-Area Networks (AREA)
Abstract
The invention relates to an IP (internet protocol)-based WLAN (wireless local area network) data QOS (quality of service) analysis method, which adopts a QOS analysis framework system based on distributed analysis WLAN data packet of service flow and utilizes the self protocol characteristic of WLAN service IP data packet and whipping, package losing and delay QOS performance parameters generated in the network transmission process to analyze the protocol, service type and QOS performance of the WLAN data packet. The analysis method comprises the following steps: firstly separating out support side data, control side data and user side data from the internet IP data; monitoring the time delay, whipping, band width, occupation amount, buffering time, request time delay and call establishment duration indexes of various applications when WLAN users access the network in a signaling monitoring manner aiming at the data of the support side, control side and user side; and analyzing the network quality in a QOS monitoring manner perceptive to the WLAN user side according to the indexes so as to obtain the overall quality index of the WLAN. According to the invention, the network performance indexes when the WLAN users access the network can be obtained, and real-time quality of the WLAN is real-timely monitored.
Description
Technical field
The present invention relates to a kind of IP-based wlan network data QOS analytical method, belong to the radio network technique field.
Background technology
Along with Chinese operator all-round construction wireless city, WLAN gets online without being tethered to a cable has become the important component part that the Internet inserts.Because the WLAN access technology is a kind of technology of transition nature of additional 3G network; Technical standard and technical specification uniformity are poor; Cause wlan device manufacturer a lot; Because the implementation difference between the producer is different with WLAN hot spot region user's internet behavior, make monitoring wlan network real-time quality become the very thing of difficulty.At present; The Internet and IP network fast development; Service application is enriched constantly; The user also is very strange through the behavior of WLAN online, and this makes operator in monitor user ' online quality difficulty, and a large amount of real-time QoS (the Quality of Service) performance parameters such as shake, packet loss and delay of IP packet in the wlan network transmission can't certainly obtain.Because a variety of causes, wlan network operator pays close attention to assurance and the evaluation of the quality Q oS that the wlan network that is provided is served more except positive providing the various abundant in content network services.Network performance index under minimum, the highest, the long-run average that how will provide when obtaining WLAN user based on the business monitoring of IP packet and surf the Net and special period network real-time reliability of operation, validity, be the thing that makes operator's headache always.
Summary of the invention
The purpose of this invention is to provide a kind of IP-based wlan network data QOS analytical method, to solve the problem that a large amount of at present real-time shake, packet loss and delay QoS (the Quality of Service) performance parameters of IP packet in the wlan network transmission can't certainly obtain.
The present invention provides a kind of IP-based wlan network data QOS analytical method for solving the problems of the technologies described above, and the step of this analytical method is following:
1). from the internet ip data, isolate supporting surface data, chain of command data and user face data;
2). long pointer when monitoring time delay, shake, bandwidth usage, buffer time, program request time delay and the call setup of the types of applications of WLAN user when surfing the Net with the mode of monitoring signaling to the data of above-mentioned three aspects;
3). according to These parameters, the quality of network is analyzed, drawn the composite quality index of wlan network with the QOS analysis mode of WLAN user side perception.
The QOS analysis mode of the WLAN user side perception in the described step 3) comprises the QOS monitoring of the single user's perception of WLAN, the QOS monitoring of user side physical link performance and the QOS monitoring of the Internet side downlink data packet.
It is the network quality with wlan network quality index checking system various dimensions index analysis user perception that the QOS of the single user's perception of described WLAN analyzes; Network quality performance to its visit of each customer analysis Internet hot point resource; And according to the network quality index checking system various dimensions assesses user network quality of setting up, comprise mode with signaling TCP request handshake response, with the mode of signaling HTTP ways of connecting and user capture Streaming Media.
It is the physical connection layer and section with WLAN user capture Internet resource content that the QOS of described user side physical link performance analyzes, and the method positioning performance fault bottleneck of utilization segment logic contrast belongs to, and draws the quality of data situation of wlan network.
The QOS monitoring of described the Internet side downlink data packet is the performance difference according to the visit quality analysis different content IP packet of different business resource, comprises that focus quality of service monitoring analysis, online game connect analysis and be connected analysis with Streaming Media.
The invention has the beneficial effects as follows: the present invention is through adopting the QOS analytical framework system based on the distributed analysis WLAN packet of Business Stream; Utilize professional IP packet self agreement characteristics of WLAN and the shake that in network transmission process, produces, packet loss, delay performance parameter; Network performance index when the present invention can obtain WLAN user and surfs the Net is monitored the real-time quality of wlan network in real time.
Description of drawings
Fig. 1 is the sketch map of the web page browsing IP packet time-delay analysis process in the embodiment of the invention.
Embodiment
Further specify below in conjunction with the accompanying drawing specific embodiments of the invention.
IP-based wlan network data QOS analytical method of the present invention has adopted the QOS analytical framework system based on the distributed analysis WLAN packet of Business Stream; Utilize QoS (Quality of Service service quality) performance parameters such as professional IP packet self agreement characteristics of WLAN and the shake that in network transmission process, produces, packet loss, delay; Analyze agreement, type of service and the QOS performance of WLAN packet; Confirm really to influence the source of trouble of carrier network QOS performance, accomplish optimization the wlan network focus through one-touch order.This analytical method is established the QoS monitoring dimension of wlan network service application, and its detailed process is following:
1. from the internet ip data, isolate supporting surface data (like Radius authentication, DNS authentication), chain of command data (as TCP shake hands, streaming media on demand is mutual, HTTP is mutual, voip call sets up) and user face data (like HTTP URL, P2P request program information, online game type etc.).
2. long pointer when monitoring time delay, shake, bandwidth usage, buffer time, program request time delay and the call setup of the types of applications of WLAN user when surfing the Net to the data of above-mentioned three aspects with the mode of monitoring signaling.
3. according to These parameters; QOS analysis mode with the perception of WLAN user side is analyzed the quality of network; Draw the composite quality index of wlan network, the QOS analysis mode of WLAN user side perception comprises the QOS monitoring of the single user's perception of WLAN, the QOS monitoring of user side physical link performance and the QOS monitoring of the Internet side downlink data packet.
The quality analysis of the single user's sensing network of WLAN is the network quality with wlan network quality index checking system various dimensions index analysis user perception; To the network quality performance of its visit of each customer analysis Internet hot point resource, and according to the network quality index checking system various dimensions assesses user network quality of setting up;
Ask handshake response with the signaling method analysis TCP, set up visual network and connect logic timing figure, time delay, shake, TCP total degree, TCP that the layer and section indexing is analyzed every section sequential connect into indexs such as power, average time;
HTTP is connected with the signaling method analysis, set up visual network and connect logic timing figure, time delay, shake, HTTP total degree, HTTP that the layer and section indexing is analyzed every section sequential connect into indexs such as power, average time;
Analyze achievement datas such as its bandwidth usage, buffer time, program request time delay, call setup duration to the user capture Streaming Media.
User side physical link performance piecewise analysis method is the physical connection layer and section with WLAN user capture Internet resource content; Be user-AP->ONU->AC->convergence device-metro core net-province's domain core net-group's core net-interconnect-Internet; Utilization contrast, conclusion and analytics such as comprehensive, efficiently, positioning performance fault bottleneck place accurately and fast; Because the situation of every section network is had nothing in common with each other, awareness network is situation substantially, and the phase-split network performance draws quality of data situation, can accurately find the special status of every section network, accurately locatees network quality, can the accurate optimization network; Analysis provides to be strangled, exports dilatation etc. such as load balancing, data distribution, virus and optimize suggestion, accomplishes " find fast, accurately location, efficient analysis, perfect optimization ".
User network performance quality, measurement data under the identical AP (focus) are generally identical; Have than large deviation if find; Perhaps most of user data are roughly the same; And certain user can't obtain the AP signal and inserts the wlan network analysis and measure data, explains from AP to user, to have problems that AP equipment is normal;
Identical focus, the user under the different AP measures the access data respectively, if all customer data under AP is normal basically; And the user data big rise and fall under another AP; Or free of data, then this AP equipment of deducibility breaks down, the basic fault-free of focus quality.
Side downlink data packet QoS monitoring in the Internet is to analyze the Internet side direction user side according to QOS dimension analysis system to transmit the downlink data packet quality; Performance difference according to the visit quality analysis different content IP packet of different business resource: the flow difference of analyzing different resource IP packet; According to the index performance analysis report between service resources is provided; And prioritization scheme is provided, and as: flow separation strategy, load balancing strategy etc.; Novel service application is introduced the QoS assessment: use for novel Internet service; Adopt the method for services quality monitoring index system to carry out comprehensive assessment; Learn the visit perceptibility of user, comprise that business can reach rate, quality of service situation and visit temperature situation etc. this business.
The focus quality of service is analyzed, and mainly the quality of service analysis is carried out in the WEB web page browsing, analyzes dimension and comprises and connect into power, time-delay, failure cause.Connect into power: be unit with user; The HTTP request number of times of sending with this user is a total degree; The http response of returning is the overall response number of times, wherein http response be 2 * * with 3 * * return code be success response, the ratio of success response number of times and total degree connects into power for the user.Failure cause: the http response return code be non-2 * *, 3 * * response.The typical several types of responses of http protocol are respectively: 2XX (success), 3XX (being redirected), 4XX (client error) and 5XX (service end mistake).
: with user is unit, and the TCP SYN bag request of sending with this user is a total degree, and the SYN ACK bag that returns is its success response number of times, and that calculates on this basis connects into power and network delay.
: with user is unit, and the TCP SYN bag request of sending with this user is a total degree, and the SYN ACK bag that returns is its success response number of times, and that calculates on this basis connects into power and network delay.
Overall process with client's web page browsing IP packet time-delay analysis of WLAN user is example below, and is as shown in Figure 1:
T_DNS is the DNS query time, promptly sends the inquiry of the domain name request from client and returns the corresponding IP address time to dns server, through check and analysis WLAN User IP packet, obtains the T_DNS data;
T_SYN sends SYN from client when setting up the TCP connection to ask server to return the time of SYN+ACK, from the IP data, obtains the T_SYN data;
T_GET is the HTTP GET stand-by period, promptly asks to receive first byte time of the page from sending HTTP GET, comprises server response time and two-way time; From the IP data, obtain the T_GET data;
T_WEBDOWN download time is the business duration of the HTTP except that the DNS query time, comprises TCP connection setup time, HTTP GET time and WEB page downloading time, through check and analysis WLAN User IP packet, obtains the T_WEBDOWN data.
Explain: DNS inquiry, server load, link medium type, path congestion situation, Transmission Control Protocol itself all possibly become the factor that influences the WEB surfing.
The server retardation ratio is less, can ignore, and collapses to prevent overload because the WEB server all can limit concurrent maximum number of connections mostly; When new connection request arrives; If load is heavier, server will be refused this request, to guarantee the having connected professional normal process of HTTP.
The DNS query time depends on the realization quality of dns server high-speed cache to a certain extent, and in the time of Cache Hit, the DNS query time generally all in 200ms, does not influence WEB and browses; But when Cache lost efficacy, the DNS that brings so inquired about greatly influencing the professional time-delay of HTTP again;
TCP connection setup time and HTTP GET time distribute similar basically;
The once typical HTTP service response time estimation of single user: HTTP service response time=2 * RTT+DNS query time+page downloading time.
Assemble the QoS monitoring modular, the Get/Set that provides that communicating by letter between WLAN user and the Internet adopted 802.11 agreements operates and realizes.
Time delay: Latency_DNS (T_DNS)=;
Shake: Jitter_SYN (T_SYN)=Max response delay: Latency_GET (T_GET)=1-;
Bandwidth time delay: Bandwidth_WEBDOWN (T_WEBDOWN)=Min{Width () }.
Through the formula of this QoS time delay, shake, response delay, bandwidth time delay, can calculate comprehensive QoS and estimate the order of magnitude, compare with the operational trials time again, can obtain the comprehensive QOS performance of wlan network.
Claims (5)
1. IP-based wlan network data QOS analytical method, it is characterized in that: the step of this QOS analytical method is following:
1). from the internet ip data, isolate supporting surface data, chain of command data and user face data;
2). long pointer when monitoring time delay, shake, bandwidth usage, buffer time, program request time delay and the call setup of the types of applications of WLAN user when surfing the Net with the mode of monitoring signaling to the data of above-mentioned three aspects;
3). according to These parameters, the quality of network is analyzed, drawn the composite quality index of wlan network with the QOS analysis mode of WLAN user side perception.
2. IP-based wlan network data QOS analytical method according to claim 1 is characterized in that: the QOS analysis mode of the WLAN user side perception in the described step 3) comprises the QOS monitoring of the single user's perception of WLAN, the QOS monitoring of user side physical link performance and the QOS monitoring of the Internet side downlink data packet.
3. IP-based wlan network data QOS analytical method according to claim 2; It is characterized in that: it is the network quality with wlan network quality index checking system various dimensions index analysis user perception that the QOS of the single user's perception of described WLAN analyzes; Network quality performance to its visit of each customer analysis Internet hot point resource; And according to the network quality index checking system various dimensions assesses user network quality of setting up, comprise mode with signaling TCP request handshake response, with the mode of signaling HTTP ways of connecting and user capture Streaming Media.
4. IP-based wlan network data QOS analytical method according to claim 2; It is characterized in that: it is the physical connection layer and section with WLAN user capture Internet resource content that the QOS of described user side physical link performance analyzes; The method positioning performance fault bottleneck of utilization segment logic contrast belongs to, and draws the quality of data situation of wlan network.
5. IP-based wlan network data QOS analytical method according to claim 2; It is characterized in that: it is the performance difference according to the visit quality analysis different content IP packet of different business resource that the QOS of described the Internet side downlink data packet analyzes, and comprises that focus quality of service monitoring analysis, online game connect analysis and be connected analysis with Streaming Media.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012101144010A CN102664767A (en) | 2012-04-18 | 2012-04-18 | IP-based WLAN network data QOS analysis method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN2012101144010A CN102664767A (en) | 2012-04-18 | 2012-04-18 | IP-based WLAN network data QOS analysis method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN102664767A true CN102664767A (en) | 2012-09-12 |
Family
ID=46774186
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN2012101144010A Pending CN102664767A (en) | 2012-04-18 | 2012-04-18 | IP-based WLAN network data QOS analysis method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102664767A (en) |
Cited By (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103856965A (en) * | 2014-03-24 | 2014-06-11 | 宁夏信友通信监理咨询有限责任公司 | WLAN (Wireless Local Area Network) comprehensive analysis system and method |
| CN103906111A (en) * | 2012-12-27 | 2014-07-02 | 中国移动通信集团内蒙古有限公司 | Problem determination method and device for general packet radio service network |
| CN104105121A (en) * | 2013-04-11 | 2014-10-15 | 中国移动通信集团浙江有限公司 | Network quality segmented quantification evaluation method and system |
| CN104640125A (en) * | 2013-11-08 | 2015-05-20 | 中国移动通信集团浙江有限公司 | Method and device for assessing quality of WLAN (wireless local area network) business |
| CN106131865A (en) * | 2016-07-19 | 2016-11-16 | 浪潮软件集团有限公司 | Network quality analysis method based on high-speed rail line |
| CN106953748A (en) * | 2017-03-02 | 2017-07-14 | 北京邮电大学 | A kind of elastic optical network comprehensive energy efficiency appraisal procedure and system |
| CN107786992A (en) * | 2016-08-31 | 2018-03-09 | 中国联合网络通信集团有限公司 | A kind of method and apparatus for detecting mobile communication network quality |
| CN108989075A (en) * | 2017-06-05 | 2018-12-11 | 中国移动通信集团广东有限公司 | A kind of network failure locating method and system |
| CN110739991A (en) * | 2019-10-21 | 2020-01-31 | 大连大学 | QoS-based satellite network end-end communication reliability analysis method |
| CN110784464A (en) * | 2019-10-24 | 2020-02-11 | 新华三信息安全技术有限公司 | Client verification method, device and system for flooding attack and electronic equipment |
-
2012
- 2012-04-18 CN CN2012101144010A patent/CN102664767A/en active Pending
Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103906111B (en) * | 2012-12-27 | 2018-05-22 | 中国移动通信集团内蒙古有限公司 | A kind of general grouped wireless service network problem determines method and apparatus |
| CN103906111A (en) * | 2012-12-27 | 2014-07-02 | 中国移动通信集团内蒙古有限公司 | Problem determination method and device for general packet radio service network |
| CN104105121A (en) * | 2013-04-11 | 2014-10-15 | 中国移动通信集团浙江有限公司 | Network quality segmented quantification evaluation method and system |
| CN104640125B (en) * | 2013-11-08 | 2018-01-30 | 中国移动通信集团浙江有限公司 | A kind of method and apparatus of the quality of assessment WLAN business |
| CN104640125A (en) * | 2013-11-08 | 2015-05-20 | 中国移动通信集团浙江有限公司 | Method and device for assessing quality of WLAN (wireless local area network) business |
| CN103856965A (en) * | 2014-03-24 | 2014-06-11 | 宁夏信友通信监理咨询有限责任公司 | WLAN (Wireless Local Area Network) comprehensive analysis system and method |
| CN106131865A (en) * | 2016-07-19 | 2016-11-16 | 浪潮软件集团有限公司 | Network quality analysis method based on high-speed rail line |
| CN107786992A (en) * | 2016-08-31 | 2018-03-09 | 中国联合网络通信集团有限公司 | A kind of method and apparatus for detecting mobile communication network quality |
| CN106953748A (en) * | 2017-03-02 | 2017-07-14 | 北京邮电大学 | A kind of elastic optical network comprehensive energy efficiency appraisal procedure and system |
| CN106953748B (en) * | 2017-03-02 | 2019-07-16 | 北京邮电大学 | A kind of elastic optical network comprehensive energy efficiency appraisal procedure and system |
| CN108989075A (en) * | 2017-06-05 | 2018-12-11 | 中国移动通信集团广东有限公司 | A kind of network failure locating method and system |
| CN110739991A (en) * | 2019-10-21 | 2020-01-31 | 大连大学 | QoS-based satellite network end-end communication reliability analysis method |
| CN110784464A (en) * | 2019-10-24 | 2020-02-11 | 新华三信息安全技术有限公司 | Client verification method, device and system for flooding attack and electronic equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102664767A (en) | IP-based WLAN network data QOS analysis method | |
| US11070456B2 (en) | Methods to monitor resources through HTTP/2 | |
| Schatz et al. | Passive youtube QoE monitoring for ISPs | |
| Lederer et al. | Adaptive streaming over content centric networks in mobile networks using multiple links | |
| US8812623B2 (en) | Techniques to support selective mobile content optimization | |
| CN102752792B (en) | Method, the equipment and system of monitoring mobile terminal Internet access quality of service | |
| US20150281367A1 (en) | Multipath tcp techniques for distributed computing systems | |
| EP2627032B1 (en) | Method, policy server and gateway for determining policies | |
| EP2779718A1 (en) | Method, terminal, network device and system for acquiring quality of experience | |
| US20110320592A1 (en) | Methods, systems, and computer readable media for content delivery using deep packet inspection | |
| Lederer et al. | An experimental analysis of dynamic adaptive streaming over http in content centric networks | |
| Al-Fares et al. | Overclocking the Yahoo! CDN for faster Web page loads | |
| CN103166985A (en) | Global load balancing scheduling method and data transmission method and device and system | |
| Ahmed et al. | Peering vs. transit: Performance comparison of peering and transit interconnections | |
| CN106487846A (en) | The white list updating method of caching system, acquisition and analysis device and caching system | |
| Schwind et al. | Dissecting the performance of YouTube video streaming in mobile networks | |
| Rossi et al. | 3GOL: Power-boosting ADSL using 3G OnLoading | |
| US8706865B1 (en) | Enhanced network communications using diagnostic information | |
| KR20120014585A (en) | Method and scout agent for building a source database | |
| Wang et al. | The content delivery network system based on cloud storage | |
| JP6033058B2 (en) | Communication path identification device | |
| KR20170096033A (en) | Coordinated packet delivery of encrypted session | |
| Liu et al. | MPTCP tunnel: an architecture for aggregating bandwidth of heterogeneous access networks | |
| US20150229734A1 (en) | Transparent internet cache and method for providing transparent internet cache | |
| KR101323107B1 (en) | Communication network system distributing multimedia contents and method thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C02 | Deemed withdrawal of patent application after publication (patent law 2001) | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20120912 |