Nothing Special   »   [go: up one dir, main page]

CN104065535A - Network evaluation method and apparatus - Google Patents

Network evaluation method and apparatus Download PDF

Info

Publication number
CN104065535A
CN104065535A CN201410308001.2A CN201410308001A CN104065535A CN 104065535 A CN104065535 A CN 104065535A CN 201410308001 A CN201410308001 A CN 201410308001A CN 104065535 A CN104065535 A CN 104065535A
Authority
CN
China
Prior art keywords
network
effective traffic
traffic
speed
duration
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.)
Granted
Application number
CN201410308001.2A
Other languages
Chinese (zh)
Other versions
CN104065535B (en
Inventor
张智江
王健全
王亚松
韩晶
孙鑫
孙雷
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
China United Network Communications Group Co Ltd
Original Assignee
China United Network Communications Group Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by China United Network Communications Group Co Ltd filed Critical China United Network Communications Group Co Ltd
Priority to CN201410308001.2A priority Critical patent/CN104065535B/en
Publication of CN104065535A publication Critical patent/CN104065535A/en
Application granted granted Critical
Publication of CN104065535B publication Critical patent/CN104065535B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

Embodiments of the invention disclose a network evaluation method and apparatus relating to the field of telecommunication networks. The method and the apparatus allow more objective evaluation of a network, find the network with problems, and improve the accuracy of network evaluation. The method comprises: within a statistical time length, various types of valid services of a network is obtained; according to the various types of valid services, the average network speed of a single user of the network is calculated; network characteristic indices of the network are obtained, and according to the network characteristic indices, the network is graded; among networks of the same grade, a problem network is picked out according to the average network speed of a single user. The method and the apparatus are applicable to scenarios of network evaluation.

Description

A kind of assessing network method and device
Technical field
The present invention relates to telecommunication network technology field, relate in particular to a kind of assessing network method and device.
Background technology
Along with increasing user brings into use network, network is evaluated, and according to the evaluation result of network, network is optimized, experience with the user who improves the network user, become the subject matter that telecom operators need to solve.In the prior art, overall traffic data volume and the number of users of network points-scoring system statistics network, obtain user's Mean Speed, according to user's Mean Speed, network evaluated, network using network lower Mean Speed as poor user experience, is optimized.
But, due to the feature such as economic development level, the territorial scope difference of the zones of different of different network belongings, only according to the Mean Speed of user in network, network is evaluated, be difficult to the actual conditions of objective reaction network, reduced the accuracy of assessing network.
Summary of the invention
Embodiments of the invention provide a kind of assessing network method and device, can more objectively evaluate network, obtain network of problem, improve the accuracy of assessing network.
For achieving the above object, embodiments of the invention adopt following technical scheme:
On the one hand, the embodiment of the present invention provides a kind of assessing network method, comprising:
In statistics duration, obtain the effective traffic of multiple types of network;
According to the effective traffic of described multiple types, calculate and obtain single user network Mean Speed of described network;
Obtain described network of network characteristic index, and according to described network characterization index, described network is carried out to grade classification;
In the network of same grade, according to described single user network Mean Speed, filter out network of problem, described network of problem is the one or more networks of described single user network Mean Speed lower than speed average value, the mean value of single user network Mean Speed of the network that described speed average value is described same grade.
On the other hand, the embodiment of the present invention provides a kind of assessing network device, comprising:
Acquisition module, in statistics duration, obtains the effective traffic of multiple types of network;
Rate calculations module, for according to the effective traffic of described multiple types, calculates and obtains single user network Mean Speed of described network;
Grade classification module, for obtaining described network of network characteristic index, and according to described network characterization index, carries out grade classification to described network;
Screening module, for the network in same grade, according to described single user network Mean Speed, filter out network of problem, described network of problem is the one or more networks of described single user network Mean Speed lower than speed average value, the mean value of single user network Mean Speed of the network that described speed average value is described same grade.
A kind of assessing network method and device that the embodiment of the present invention provides, can be according to the effective traffic of multiple types of network, obtain single user network Mean Speed, according to network of network characteristic index, network is carried out to grade classification, in same grade, according to single user network Mean Speed, obtain network of problem.In prior art, directly according to user's Mean Speed, network is evaluated, network using network lower Mean Speed as poor user experience, compared with prior art, this programme need to be according to network of network characteristic index, network is carried out to grade classification, ensure the economic development level in the region of the network belonging of same grade, the features such as territorial scope are in more approaching level, in the network of same grade, contrast single user network Mean Speed, obtain the network of problem in this grade, in the network of same grade, contrast single user network Mean Speed, can more objectively evaluate network, obtain network of problem, improve the accuracy of assessing network.
Brief description of the drawings
In order to be illustrated more clearly in the technical scheme in the embodiment of the present invention, to the accompanying drawing of required use in embodiment be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.
The flow chart of a kind of assessing network method that Fig. 1 provides for the embodiment of the present invention;
The flow chart of a kind of specific implementation of a kind of assessing network method that Fig. 2 provides for the embodiment of the present invention;
The structural representation of a kind of assessing network device that Fig. 3 provides for the embodiment of the present invention;
The structural representation of a kind of specific implementation of a kind of assessing network device that Fig. 4 provides for the embodiment of the present invention.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiment.Based on the embodiment in the present invention, those of ordinary skill in the art, not making all other embodiment that obtain under creative work prerequisite, belong to the scope of protection of the invention.
The technical scheme that the embodiment of the present invention provides is applied to assessing network system, can be according to the effective traffic of multiple types of network, obtain single user network Mean Speed of network, according to network of network characteristic index, network is carried out to grade classification, in the network of same grade, according to single user network Mean Speed, obtain network of problem.Network can be local network or regional network etc.
The embodiment of the present invention provides a kind of assessing network method, as shown in Figure 1, comprising:
101, in statistics duration, obtain the effective traffic of multiple types of network.
Wherein, in network, often there is the business of multiple types, such as: Web (the Internet) business, multimedia service, downloading service etc.Effective traffic represents the business that not affected by the factors such as small data packets, idle ineffective time, operation flow abnormity point.Assessing network system is by the flow set thresholding to the business of obtaining, by small data packets shielding, such as: a traffic threshold threshold value is set, in the time that the flow of business is less than this threshold value, shield this business, thereby effectively shield the noise of small data packets and small data packets generation.Assessing network system is by business duration field is screened, and by non-vanishing the business duration but do not produce the data filtering of flow, thereby avoids the harmful effect of idle ineffective time to assessing network.Assessing network system detects the business of obtaining, if detect operation flow abnormity point in this business, shield this business, can not in follow-up process, use the related data of this business, such as: under the page response scene of Web business, if DNS is (Domain Name System, domain name system) there is not HTTP (Hypertext transfer protocol after failure or DNS, HTML (Hypertext Markup Language)) request, this is Web operation flow abnormity point, and related data is not included computational process in.
102, according to the effective traffic of described multiple types, calculate and obtain single user network Mean Speed of described network.
Wherein, in 101, obtain the effective traffic of multiple types of network, according to the effective traffic of multiple types, can obtain the information such as the number, flow, duration, number of users of the effective traffic of multiple types, according to the flow of the effective traffic of multiple types and duration, utilize weighting algorithm, obtain total flow and total duration of effective traffic, the total flow and the total duration that utilize effective traffic, calculate business overall average speed; According to the number of the effective traffic of multiple types and number of users, calculate and obtain alone family average traffic number of concurrent; According to business overall average speed and alone family average traffic number of concurrent, calculate alone family Mean Speed.
103, obtain described network of network characteristic index, and according to described network characterization index, described network is carried out to grade classification.
Wherein, network characterization index refers to a series of attributes that can characterize network characterization, and network characterization index can be economically developed index, region area, region number of users, traffic level etc.Network characterization index is to obtain according to the correlated characteristic in the effective traffic of the basic data of network and network.Assessing network system, according to network characterization index, obtains mark corresponding to every network characterization index, utilize weighting algorithm, obtain the weighting score of network, according to the weighting score of network, network is carried out to grade classification, and the aggregate level of the network in same grade is comparatively approaching.
104, in the network of same grade, according to described single user network Mean Speed, filter out network of problem.
Wherein, the aggregate level of the network in same grade is comparatively approaching, contrast single user network Mean Speed of the network of same grade, in the network of same grade, screen single user network Mean Speed lower than one or more networks of the mean value of single user network Mean Speed in this hierarchical network as network of problem.So that in subsequent process, network of problem is analyzed and is optimized.
A kind of assessing network method that the embodiment of the present invention provides, can be according to the effective traffic of multiple types of network, obtain single user network Mean Speed, according to network of network characteristic index, network is carried out to grade classification, in same grade, according to single user network Mean Speed, obtain network of problem.In prior art, directly according to user's Mean Speed, network is evaluated, network using network lower Mean Speed as poor user experience, compared with prior art, this programme need to be according to network of network characteristic index, network is carried out to grade classification, ensure the economic development level in the region of the network belonging of same grade, the features such as territorial scope are in more approaching level, in the network of same grade, contrast single user network Mean Speed, obtain the network of problem in this grade, in the network of same grade, contrast single user network Mean Speed, can more objectively evaluate network, obtain network of problem, improve the accuracy of assessing network, and, whole statistical computation obtains in the process of single user network Mean Speed, what use is the related data of effective traffic, small data packets, idle ineffective time, operation flow abnormity point are shielded, make the data that use in statistical computation process more accurate, thereby further improved the accuracy of assessing network.
Further, on the basis of the scheme shown in Fig. 1, the embodiment of the present invention also provides a kind of concrete scheme of assessing network method, this programme is to the further refinement of the implementation of the 102-103 in the scheme shown in Fig. 1, and wherein, 102 can specific implementation be 1021-1026,103 can specific implementation be 1031-1032, this programme can also be in the scheme shown in Fig. 1 104 after add 105, as shown in Figure 2, comprising:
101, in statistics duration, obtain the effective traffic of multiple types of network.
1021, according to the effective traffic of described multiple types, obtain flow and the duration of the effective traffic of described multiple types.
Wherein, according to the effective traffic of multiple types, obtain respectively flow and the duration of the effective traffic of multiple types, such as: the effective traffic that has obtained 3 types, be respectively effective traffic A, effective traffic B and effective traffic C, obtain flow and the duration of the flow of the flow of effective traffic A and duration, effective traffic B and duration, effective traffic C.
1022, according to the flow of the effective traffic of described multiple types and duration, utilize weighting algorithm, obtain the total duration of effective traffic total flow and effective traffic.
Wherein, flow and the duration of the effective traffic of multiple types in 1021, are obtained, account for the flow of effective traffic and the ratio of duration of multiple types according to the flow of the effective traffic of each type and duration, utilize weighting algorithm, obtain the total duration of effective traffic total flow and effective traffic.Such as: establishing j is type of service, and j can be Web business, multimedia service, downloading business and other data service; f i jfor the flow of i the business of type of service j, i ∈ N* and i≤m, m is the business number occurring in statistics duration; T is the duration of effective traffic; The formula that specifically calculates effective traffic total flow and the total duration of effective traffic is as follows:
1023, according to described effective traffic total flow and the total duration of described effective traffic, obtain business overall average speed.
Wherein, business overall average speed is the ratio of effective traffic data total amount and the total duration of effective traffic, and concrete formula is
1024, periodically obtain the effective traffic of described multiple types, and obtain effective traffic number and number of users in each cycle.
Wherein, in statistics duration, the effective traffic that periodically obtains multiple types, obtains effective traffic number and number of users in each cycle, such as: statistics duration is 10 seconds, taking 0.5 second as the cycle, periodically obtain the effective traffic of multiple types, in statistics duration, have 20 cycles, obtained the effective traffic in each cycle in 20 cycles, and according to the effective traffic in each cycle, obtain effective traffic number and number of users in each cycle.
1025, the ratio of the described effective traffic number in the each cycle in described statistics duration and described number of users is added, obtain ratio sum, and calculate alone family average traffic number of concurrent.
Wherein, alone family average traffic number of concurrent is ratio sum and the ratio of adding up the number in cycle in duration, can be formulated:
Wherein, m iit is the business number of i cycle statistics; n ibe the number of users of i cycle statistics, the number that in statistics duration, the number k in cycle is effective period, in the time that the effective traffic number in one-period or number of users are 0, this cycle is periods of inactivity, and is not counted in the number in cycle in statistics duration.Such as: in statistics duration, have 10 cycles, wherein, having the effective traffic number in one-period is 0, and the number of users in another cycle is 0, and in the statistics duration of using while calculating, the number in cycle is 8.
1026, described business overall average speed and described alone family average traffic number of concurrent are multiplied each other, calculate described alone family Mean Speed.
Wherein, such as: the user who evaluates in nearly 1 minute of a-quadrant network experiences, and tentation data measurement period is 1 second, and in nearly 1 minute business a situation arises and sampling situation is as follows:
In nearly 1 minute of table 1A Local Area Network, a situation arises for business
Type of service Service traffics (unit: k) Continue duration (unit: s)
Web business 1 50 0.4
Web business 2 30 0.1
Multimedia service 1 100 0.5
Multimedia service 2 120 0.8
Multimedia service 3 90 0.4
Downloading service 1 200 0.6
Downloading service 2 100 0.2
Effective sampling points in nearly 1 minute of table 2A Local Area Network
Effective sampling points numbering Generation business number Number of users
1 2 2
2 3 2
3 2 1
First step computing service overall average speed:
Second step calculates alone family service concurrence number:
The 3rd step is calculated alone family Mean Speed:
Be that alone family Mean Speed in nearly 1 minute of a-quadrant network is 357kbps, can the experience in this period pass judgment on score value using this as this Local Area Network, in subsequent process, utilize this experience to pass judgment on score value screening network of problem.
1031, obtain described network of network characteristic index, the described network characterization index of described network is normalized and carries out weighted scoring, obtain the weighting score of described network.
Wherein, network characterization index can be the features such as economically developed index, region area, region number of users, traffic level, each network of network characteristic index is normalized, and according to normalization result, each network is weighted to scoring, thereby the weighting score that obtains each network, weighting score represents the level of network characterization index.Such as, getting the economically developed index of network characterization index is C, and number of users is N, and region area is S, for the quantification of targets of different aspects is become to analogous value, need be normalized C, N, S.Method for normalizing is as follows:
C ‾ = C - C min C max - C min ;
Wherein, C maxfor the highest economically developed index in network belonging ground, C minfor the flourishing index of network belonging ground lowest economic, for the economically developed index of normalization.Adopting uses the same method is normalized N and S, obtains normalization number of users with normalization region area the weighting score I of network is:
I = k 1 · C ‾ + k 2 · N ‾ + k 3 · S ‾ ;
Wherein, k 1, k 2, k 3for weight coefficient, meet k 1+ k 2+ k 3=1.
1032, according to described weighting score, described network is divided into at least two grades.
Wherein, assessing network system can be according to weighting score, weighting score is divided into multiple weighting score scopes, the network falling within the scope of same weighting score is divided into same grade, such as: the weighting of network must be divided into hundred-mark system, network by weighting score within the scope of 80-100 is divided into grade 1, and the network by weighting score within the scope of 60-80 is divided into grade 2, and the network by weighting score within the scope of 40-60 is divided into grade 3.Or, assessing network system can be according to weighting score order from high to low or from low to high, the network corresponding to weighting score sorts, according to ranking results, network is divided into one or more grades, such as: 12 networks that have of participating in assessing network, according to after the order sequence from high to low of weighting score, ranking results is network A, network B, network C, network D, network E, network F, network G, network H, network I, network J, network K, network L, according to ranking results, every 4 networks are divided into same grade, the result that is divided rank is that grade 1 comprises network A, network B, network C, network D, grade 2 comprises network E, network F, network G, network H, , grade 3 comprises network I, network J, network K, network L.At this, do not limit the method that network is divided into at least two grades.
104, in the network of same grade, according to described single user network Mean Speed, filter out network of problem.
Wherein, network of problem is the one or more networks of single user network Mean Speed lower than speed average value, speed average value is the mean value of single user network Mean Speed of the network of same grade, such as: at 5 network of network A of same grade, network B, network C, network D, in network E, single user network Mean Speed of 5 networks is respectively 480kbps, 400kbps, 388kbps, 306kbps, 279kbps, these stage speed mean values are 370kbps, single user network Mean Speed of network D and network E is lower than speed average value, network D and network E are network of problem.
105, described network of problem is analyzed, obtain the particular problem of network of problem, according to described particular problem, obtain prioritization scheme, described network of problem is optimized.
Wherein, assessing network system can be preset problem and delimit flow process, the network of problem obtaining is delimited to flow process according to default problem, the particular problem of Generating Problems network, and according to this particular problem, in the prioritization scheme database of having stored a large amount of prioritization schemes, obtain prioritization scheme, network of problem is optimized.
A kind of assessing network method that the embodiment of the present invention provides, can be according to the effective traffic of multiple types of network, obtain single user network Mean Speed, according to network of network characteristic index, network is carried out to grade classification, in same grade, according to single user network Mean Speed, obtain network of problem.In prior art, directly according to user's Mean Speed, network is evaluated, network using network lower Mean Speed as poor user experience, compared with prior art, this programme need to be according to network of network characteristic index, network is carried out to grade classification, ensure the economic development level in the region of the network belonging of same grade, the features such as territorial scope are in more approaching level, in the network of same grade, contrast single user network Mean Speed, obtain the network of problem in this grade, in the network of same grade, contrast single user network Mean Speed, can more objectively evaluate network, obtain network of problem, improve the accuracy of assessing network, and, whole statistical computation obtains in the process of single user network Mean Speed, what use is the related data of effective traffic, small data packets, idle ineffective time, operation flow abnormity point are shielded, make the data that use in statistical computation process more accurate, thereby further improved the accuracy of assessing network, and, can, for network of problem, analyze, obtain corresponding prioritization scheme, network of problem is optimized, improve the performance of network of problem.
The embodiment of the present invention provides a kind of assessing network device 200, as shown in Figure 3, comprising:
Acquisition module 201, in statistics duration, obtains the effective traffic of multiple types of network.
Rate calculations module 202, for according to the effective traffic of described multiple types, calculates and obtains single user network Mean Speed of described network.
Grade classification module 203, for obtaining described network of network characteristic index, and according to described network characterization index, carries out grade classification to described network.
Screening module 204, for the network in same grade, according to described single user network Mean Speed, filters out network of problem.
Wherein, network of problem is the one or more networks of single user network Mean Speed lower than speed average value, the mean value of single user network Mean Speed of the network that speed average value is same grade.
A kind of assessing network device that the embodiment of the present invention provides, can be according to the effective traffic of multiple types of network, obtain single user network Mean Speed, according to network of network characteristic index, network is carried out to grade classification, in same grade, according to single user network Mean Speed, obtain network of problem.In prior art, directly according to user's Mean Speed, network is evaluated, network using network lower Mean Speed as poor user experience, compared with prior art, this programme need to be according to network of network characteristic index, network is carried out to grade classification, ensure the economic development level in the region of the network belonging of same grade, the features such as territorial scope are in more approaching level, in the network of same grade, contrast single user network Mean Speed, obtain the network of problem in this grade, in the network of same grade, contrast single user network Mean Speed, can more objectively evaluate network, obtain network of problem, improve the accuracy of assessing network, and, whole statistical computation obtains in the process of single user network Mean Speed, what use is the related data of effective traffic, small data packets, idle ineffective time, operation flow abnormity point are shielded, make the data that use in statistical computation process more accurate, thereby further improved the accuracy of assessing network.
Further, as shown in Figure 4, rate calculations module 202, comprising:
The first acquiring unit 2021, for according to the effective traffic of described multiple types, obtains flow and the duration of the effective traffic of described multiple types.
Second acquisition unit 2022, for according to the flow of the effective traffic of described multiple types and duration, utilizes weighting algorithm, obtains the total duration of effective traffic total flow and effective traffic.
The first computing unit 2023, for according to described effective traffic total flow and the total duration of described effective traffic, obtains business overall average speed.
Wherein, business overall average speed is the ratio of effective traffic data total amount and the total duration of effective traffic.
The 3rd acquiring unit 2024, for periodically obtaining the effective traffic of described multiple types, and obtains effective traffic number and number of users in each cycle.
The second computing unit 2025, for the ratio of the described effective traffic number in the each cycle in described statistics duration and described number of users is added, obtains ratio sum, and calculates alone family average traffic number of concurrent.
Wherein, alone family average traffic number of concurrent is ratio sum and the ratio of adding up the number in cycle in duration.
The 3rd computing unit 2026, for described business overall average speed and described alone family average traffic number of concurrent are multiplied each other, calculates described alone family Mean Speed.
Grade classification module 203, comprising:
Scoring unit 2031, for obtaining described network of network characteristic index, is normalized and carries out weighted scoring the described network characterization index of described network, obtains the weighting score of described network.
Grade classification unit 2032, for according to described weighting score, is divided at least two grades by described network.
Device 200, also comprises:
Optimize module 205, for described network of problem is analyzed, obtain the particular problem of network of problem, according to described particular problem, obtain prioritization scheme, described network of problem is optimized.
A kind of assessing network device that the embodiment of the present invention provides, can be according to the effective traffic of multiple types of network, obtain single user network Mean Speed, according to network of network characteristic index, network is carried out to grade classification, in same grade, according to single user network Mean Speed, obtain network of problem.In prior art, directly according to user's Mean Speed, network is evaluated, network using network lower Mean Speed as poor user experience, compared with prior art, this programme need to be according to network of network characteristic index, network is carried out to grade classification, ensure the economic development level in the region of the network belonging of same grade, the features such as territorial scope are in more approaching level, in the network of same grade, contrast single user network Mean Speed, obtain the network of problem in this grade, in the network of same grade, contrast single user network Mean Speed, can more objectively evaluate network, obtain network of problem, improve the accuracy of assessing network, and, whole statistical computation obtains in the process of single user network Mean Speed, what use is the related data of effective traffic, small data packets, idle ineffective time, operation flow abnormity point are shielded, make the data that use in statistical computation process more accurate, thereby further improved the accuracy of assessing network, and, can, for network of problem, analyze, obtain corresponding prioritization scheme, network of problem is optimized, improve the performance of network of problem.
Each embodiment in this specification all adopts the mode of going forward one by one to describe, between each embodiment identical similar part mutually referring to, what each embodiment stressed is and the difference of other embodiment.Especially,, for apparatus embodiments, because it is substantially similar in appearance to embodiment of the method, so describe fairly simplely, relevant part is referring to the part explanation of embodiment of the method.
One of ordinary skill in the art will appreciate that all or part of flow process realizing in above-described embodiment method, can carry out the hardware that instruction is relevant by computer program to complete, described program can be stored in a computer read/write memory medium, this program, in the time carrying out, can comprise as the flow process of the embodiment of above-mentioned each side method.Wherein, described storage medium can be magnetic disc, CD, read-only store-memory body (Read-Only Memory, ROM) or random store-memory body (Random Access Memory, RAM) etc.
The above; be only the specific embodiment of the present invention, but protection scope of the present invention is not limited to this, any be familiar with those skilled in the art the present invention disclose technical scope in; the variation that can expect easily or replacement, within all should being encompassed in protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection range of claim.

Claims (8)

1. an assessing network method, is characterized in that, comprising:
In statistics duration, obtain the effective traffic of multiple types of network;
According to the effective traffic of described multiple types, calculate and obtain single user network Mean Speed of described network;
Obtain described network of network characteristic index, and according to described network characterization index, described network is carried out to grade classification;
In the network of same grade, according to described single user network Mean Speed, filter out network of problem, described network of problem is the one or more networks of described single user network Mean Speed lower than speed average value, the mean value of single user network Mean Speed of the network that described speed average value is described same grade.
2. method according to claim 1, is characterized in that, described according to described effective traffic, calculates and obtain single user network Mean Speed of described network, comprising:
According to the effective traffic of described multiple types, obtain flow and the duration of the effective traffic of described multiple types;
According to the flow of the effective traffic of described multiple types and duration, utilize weighting algorithm, obtain the total duration of effective traffic total flow and effective traffic;
According to described effective traffic total flow and the total duration of described effective traffic, obtain business overall average speed, described business overall average speed is the ratio of described effective traffic data total amount and the total duration of described effective traffic;
Periodically obtain the effective traffic of described multiple types, and obtain effective traffic number and number of users in each cycle;
The ratio of the described effective traffic number in the each cycle in described statistics duration and described number of users is added, obtain ratio sum, and calculate alone family average traffic number of concurrent, described alone family average traffic number of concurrent is the ratio of the number in described cycle in described ratio sum and described statistics duration;
Described business overall average speed and described alone family average traffic number of concurrent are multiplied each other, calculate described alone family Mean Speed.
3. method according to claim 1, is characterized in that, described in obtain described network of network characteristic index, and according to described network characterization index, described network is carried out to grade classification, comprising:
Obtain described network of network characteristic index, the described network characterization index of described network is normalized and carries out weighted scoring, obtain the weighting score of described network;
According to described weighting score, described network is divided into at least two grades.
4. method according to claim 1, is characterized in that, described filter out network of problem after, also comprise:
Described network of problem is analyzed, obtained the particular problem of network of problem, according to described particular problem, obtain prioritization scheme, described network of problem is optimized.
5. an assessing network device, is characterized in that, comprising:
Acquisition module, in statistics duration, obtains the effective traffic of multiple types of network;
Rate calculations module, for according to the effective traffic of described multiple types, calculates and obtains single user network Mean Speed of described network;
Grade classification module, for obtaining described network of network characteristic index, and according to described network characterization index, carries out grade classification to described network;
Screening module, for the network in same grade, according to described single user network Mean Speed, filter out network of problem, described network of problem is the one or more networks of described single user network Mean Speed lower than speed average value, the mean value of single user network Mean Speed of the network that described speed average value is described same grade.
6. device according to claim 5, is characterized in that, described rate calculations module, comprising:
The first acquiring unit, for according to the effective traffic of described multiple types, obtains flow and the duration of the effective traffic of described multiple types;
Second acquisition unit, for according to the flow of the effective traffic of described multiple types and duration, utilizes weighting algorithm, obtains the total duration of effective traffic total flow and effective traffic;
The first computing unit, for according to described effective traffic total flow and the total duration of described effective traffic, obtains business overall average speed, and described business overall average speed is the ratio of described effective traffic data total amount and the total duration of described effective traffic;
The 3rd acquiring unit, for periodically obtaining the effective traffic of described multiple types, and obtains effective traffic number and number of users in each cycle;
The second computing unit, for the ratio of the described effective traffic number in the each cycle in described statistics duration and described number of users is added, obtain ratio sum, and calculate alone family average traffic number of concurrent, described alone family average traffic number of concurrent is the ratio of the number in described cycle in described ratio sum and described statistics duration;
The 3rd computing unit, for described business overall average speed and described alone family average traffic number of concurrent are multiplied each other, calculates described alone family Mean Speed.
7. device according to claim 5, is characterized in that, described grade classification module, comprising:
Scoring unit, for obtaining described network of network characteristic index, is normalized and carries out weighted scoring the described network characterization index of described network, obtains the weighting score of described network;
Grade classification unit, for according to described weighting score, is divided at least two grades by described network.
8. device according to claim 5, is characterized in that, described device also comprises:
Optimize module, for described network of problem is analyzed, obtain the particular problem of network of problem, according to described particular problem, obtain prioritization scheme, described network of problem is optimized.
CN201410308001.2A 2014-06-30 2014-06-30 A kind of assessing network method and device Active CN104065535B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201410308001.2A CN104065535B (en) 2014-06-30 2014-06-30 A kind of assessing network method and device

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201410308001.2A CN104065535B (en) 2014-06-30 2014-06-30 A kind of assessing network method and device

Publications (2)

Publication Number Publication Date
CN104065535A true CN104065535A (en) 2014-09-24
CN104065535B CN104065535B (en) 2018-03-06

Family

ID=51553076

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201410308001.2A Active CN104065535B (en) 2014-06-30 2014-06-30 A kind of assessing network method and device

Country Status (1)

Country Link
CN (1) CN104065535B (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106878089A (en) * 2017-03-15 2017-06-20 中国联合网络通信集团有限公司 The evaluation method of business process, device and system
CN107358346A (en) * 2017-07-03 2017-11-17 中国联合网络通信集团有限公司 It is directed to the evaluation information treating method and apparatus of communication quality
CN107566207A (en) * 2017-08-07 2018-01-09 北京天元创新科技有限公司 The appraisal procedure and device of a kind of network resource consumption
JP2018137668A (en) * 2017-02-23 2018-08-30 Kddi株式会社 Network verification optimization method, program, and device
CN109451515A (en) * 2018-12-12 2019-03-08 中国联合网络通信集团有限公司 Network priority appraisal procedure and device
CN114338425A (en) * 2021-12-31 2022-04-12 中国联合网络通信集团有限公司 Network planning method, device and storage medium

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101330709A (en) * 2008-06-12 2008-12-24 中国移动通信集团设计院有限公司 Method and device for determining data business service quality
CN101572623A (en) * 2009-04-30 2009-11-04 上海大学 Method for comprehensively evaluating network performance based on subjective and objective combination evaluation
CN101867960A (en) * 2010-06-08 2010-10-20 江苏大学 Comprehensive evaluation method for wireless sensor network performance
CN103457772A (en) * 2013-09-02 2013-12-18 吉林大学 Application-oriented network performance evaluation method for Internet of things

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101330709A (en) * 2008-06-12 2008-12-24 中国移动通信集团设计院有限公司 Method and device for determining data business service quality
CN101572623A (en) * 2009-04-30 2009-11-04 上海大学 Method for comprehensively evaluating network performance based on subjective and objective combination evaluation
CN101867960A (en) * 2010-06-08 2010-10-20 江苏大学 Comprehensive evaluation method for wireless sensor network performance
CN103457772A (en) * 2013-09-02 2013-12-18 吉林大学 Application-oriented network performance evaluation method for Internet of things

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2018137668A (en) * 2017-02-23 2018-08-30 Kddi株式会社 Network verification optimization method, program, and device
CN106878089A (en) * 2017-03-15 2017-06-20 中国联合网络通信集团有限公司 The evaluation method of business process, device and system
CN107358346A (en) * 2017-07-03 2017-11-17 中国联合网络通信集团有限公司 It is directed to the evaluation information treating method and apparatus of communication quality
CN107358346B (en) * 2017-07-03 2020-09-08 中国联合网络通信集团有限公司 Evaluation information processing method and device for communication quality
CN107566207A (en) * 2017-08-07 2018-01-09 北京天元创新科技有限公司 The appraisal procedure and device of a kind of network resource consumption
CN109451515A (en) * 2018-12-12 2019-03-08 中国联合网络通信集团有限公司 Network priority appraisal procedure and device
CN109451515B (en) * 2018-12-12 2021-09-14 中国联合网络通信集团有限公司 Network priority evaluation method and device
CN114338425A (en) * 2021-12-31 2022-04-12 中国联合网络通信集团有限公司 Network planning method, device and storage medium
CN114338425B (en) * 2021-12-31 2023-09-19 中国联合网络通信集团有限公司 Network planning method, device and storage medium

Also Published As

Publication number Publication date
CN104065535B (en) 2018-03-06

Similar Documents

Publication Publication Date Title
CN104065535A (en) Network evaluation method and apparatus
Ludescher et al. On spurious and corrupted multifractality: The effects of additive noise, short-term memory and periodic trends
US9015128B2 (en) Method and system for measuring social influence and receptivity of users
CN103605714B (en) The recognition methods of website abnormal data and device
CN107070683A (en) The method and apparatus of data prediction
Abry et al. Revisiting an old friend: on the observability of the relation between long range dependence and heavy tail
CN107026750B (en) User Internet QoE evaluation method and device
CN102750320B (en) Method, device and system for calculating network video real-time attention
CN110730099A (en) Flow prediction method based on historical flow data time sequence
CN104009983B (en) Detection method and its detecting system that a kind of CC is attacked
CN109873832B (en) Flow identification method and device, electronic equipment and storage medium
CN103853839A (en) Method and device for evaluating advertisement page malicious click suspected degree
CN103593446A (en) Flow quality analyzing method and device
CN103179592A (en) QoE (Quality of Experience) comprehensive evaluation method based on hierarchical tree structure
CN106960248A (en) A kind of method and device that customer problem is predicted based on data-driven
CN106327230A (en) Abnormal user detection method and device
CN107612925A (en) A kind of WebShell method for digging based on access behavioural characteristic
CN103186604A (en) Method, device and equipment for determining satisfaction degree of user on search result
CN111277451B (en) Service evaluation method, device, terminal equipment and medium
CN104636470A (en) Method and device for recommending business information
CN109934407A (en) A kind of volunteers working intention prediction technique based on Logistic generalized linear regression model
CN105447148A (en) Cookie identifier association method and apparatus
WO2023045796A1 (en) Vehicle sound quality assessment method and apparatus, assessment device, and storage medium
CN114186118A (en) Network public opinion topic information processing system, method, storage medium and terminal
CN108038490A (en) A kind of P2P enterprises automatic identifying method and system based on internet data

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant