CN104394539A - Configurable network element capacity evaluation method - Google Patents

Configurable network element capacity evaluation method Download PDF

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Publication number
CN104394539A
CN104394539A CN201410394094.5A CN201410394094A CN104394539A CN 104394539 A CN104394539 A CN 104394539A CN 201410394094 A CN201410394094 A CN 201410394094A CN 104394539 A CN104394539 A CN 104394539A
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index
network element
capacity
peak value
state
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CN201410394094.5A
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CN104394539B (en
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张德跃
薛洪
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Inspur Communication Information System Co Ltd
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Inspur Communication Information System Co Ltd
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04WWIRELESS COMMUNICATION NETWORKS
    • H04W24/00Supervisory, monitoring or testing arrangements
    • H04W24/02Arrangements for optimising operational condition

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The invention provides a configurable network element capacity evaluation method. A capacity evaluation model enables network element capacity evaluation results to be displayed to users clearly from the overall to local through topology statistics, a light-on diagram, a distribution diagram and peak value diagram on the basis of carrying out configuration on a network overall topological structure, a network element model, indicator categories, an index set and indexes, and in the configuration process, only flexibly modifying corresponding XML files and importing the XML files according to the need of network element capacity evaluation service are needed, by configuring corresponding threshold values for each index according to service empirical values, and through summarized calculation of different granularities of each layer, so that the users are allowed to carry out multi-angle multi-side effective evaluation on the network element capacity more conveniently so as to find network element capacity bottleneck in time in the communication process, capacity expanding and optimizing measures can be adopted quickly, and ever-increasing user and business requirements are met.

Description

A kind of configurable NE capacity appraisal procedure
Technical field
The present invention relates to a kind of mobile communication technology field, specifically a kind of configurable NE capacity appraisal procedure.
Background technology
In mobile communications, node when namely network element realizes communicating in global system for mobile communications, such as base station etc.
Along with constantly promoting the use of of telecommunication service, current domestic mobile communication subscriber increases fast, proposes acid test to radio channel resource and related network elements resource.Based under existing network element resources configuring condition, when customer volume and traffic carrying capacity are increased to a certain degree, be easy to cause communication blocking, affect the experience of telecommunication service quality and terminal use.So need to carry out Capacity Assessment to the network element in mobile communication system, the NE capacity bottleneck in Timeliness coverage communication process, to take dilatation or tuning measure fast, meet ever-increasing user and business demand.
Summary of the invention
The object of this invention is to provide a kind of configurable NE capacity appraisal procedure.
The object of the invention is to realize in the following manner, provide a kind of Capacity Evaluation Model, this model is based on to overall network topological structure, managed element model, index classification, index set, index is configured (Fig. 1 illustrates the hierarchical relationship of 5 kinds of elements above by example), according to business experience value to each index allocation respective threshold, varigrainedly calculating is gathered through at all levels, NE capacity assessment result is added up to partially over topology by entirety, bright light figure, distribution map, peak value figure presents to user clearly, make user can carry out multi-angle many sides Efficient Evaluation to NE capacity more easily.
Particular content comprises
(1) according to business demand, the overall topological diagram of configuration network, determine to need in topological diagram to comprise which managed element model, which need under each managed element model to use index classification, which need to define index set under each index classification, need to assess which index under each index set, wherein managed element model, index need to guarantee really exist in performance monitoring system, to guarantee that network element solid data, achievement data are all that Real-time Collection is come;
(2) for each index determined in (1), according to business experience value or standard value, define corresponding threshold value, use for when gathering calculating;
(3) based on configuration above, varigrainedly gather calculating through at all levels, obtain final Capacity Assessment result.Aggregation process refers to Fig. 2.Processing procedure is as follows:
Original index data are gathered by sky peak value, and for each model entity MO, every day, each index can obtain a peak value.Within the regular hour, gathered by the time, for each index of each entity, obtain a peak value, present to user by peak value figure.Peak value figure shows that Fig. 3 is referred at interface.
Based on index peak data, within the regular hour, gathered by the time, for each index of each entity, obtain a peak value, then add up the peak value number in each condition and range according to condition, present to user by distribution map.Distribution map shows that Fig. 4 is referred at interface.
Based on index peak data, carry out State Transferring according to metrics-thresholds, obtain index state, index state, through gathering step by step, obtains index set state, index class state, overall topological statistic behavior respectively.Based on the state obtained above, gathered by the time, coordinate index peak time summarized results, obtain bright light diagram data.Bright light figure shows that Fig. 5 is referred at interface.
Based on each status data above, obtain within the scope of the regular hour, the state status of each entity, the entity under each model is added up by state, obtain topology statistics.Fig. 6 is referred at topology statistics interface.
The invention has the beneficial effects as follows: the invention provides a kind of configurable Capacity Evaluation Model, NE capacity assessment result is added up to partially over topology by entirety, bright light figure, distribution map, peak value figure presents to user clearly, makes user can carry out multi-angle many sides Efficient Evaluation to NE capacity more easily, with the NE capacity bottleneck in Timeliness coverage communication process, take dilatation or tuning measure fast, meet ever-increasing user and business demand.
Accompanying drawing explanation
Fig. 1 is 5 kinds of element hierarchy graphs of a relation;
Fig. 2 is that NE capacity gathers flow chart;
Fig. 3 is peak value figure bandwagon effect screenshot capture;
Fig. 4 is distribution map bandwagon effect screenshot capture;
Fig. 5 is bright light figure bandwagon effect screenshot capture;
Fig. 6 is topological statistical chart bandwagon effect screenshot capture;
Fig. 7 is topological arrangement XML file sample screen shot;
Fig. 8 is index classification, index set, index allocation XML file sample screen shot.
Embodiment
With reference to Figure of description, the configurable NE capacity appraisal procedure of one of the present invention is described in detail below.
The configurable NE capacity appraisal procedure of one of the present invention:
(1) determine the managed element model that will assess, guarantee that this managed element model is in the existing definition of performance monitoring system, to ensure that network element solid data is come by access vendor equipment Real-time Collection;
(2) for the managed element model determined, below each managed element model, can define index classification above, index classification name can define as required according to business meaning, can define multiple index classification below a model;
(3) for the index classification determined, below each index classification, can define index set above, the name of index set also can define according to business meaning as required, can define multiple index set below an index classification;
(4) for the index set determined above, below each index set, can definition index, the name of index can not at will define, consistent with index name defined in performance monitoring system, to ensure that achievement data is the data that data on performance monitoring system Real-time Collection or performance initial data calculate through Index Formula;
(5) for the index determined above, definition alarm baseline threshold, for the scope of alarm baseline, supports three kinds of alarm grades, i.e. Critical, Warning, Normal;
(6) for the NE type determined in (1), XML file content shown in editor Fig. 7, can revise the content of <graph></graphGr eatT.GreaT.GT part, the content of wherein moType needs configuration is the name of the model determined in (1);
(7) the XML file content shown in editor Fig. 8, the wherein index classification of the middle definition of the part correspondence (2) of <Category></Cate gory>, categoryName is corresponding with name of definition in (2), moType will with its belonging to model name corresponding; The index set of definition in the part correspondence (3) of <capIndSet></cap IndSet>, capIndSetName is corresponding with name of definition in (3), moType will with its belonging to model name corresponding; The index set of definition in the part correspondence (4) of <indicator></ind icator>, indName is corresponding with name of definition in (4), indSetName will with its belonging to index set name corresponding;
(8) by the file that instruction importing (7) (8) have editted, accessing system can present capacity monitor topology effect, and bandwagon effect as shown in Figure 6.
Main innovate point of the present invention is: the invention provides a kind of Capacity Evaluation Model, and only need in whole process according to Capacity Assessment business demand, flexible editor also imports XML file, NE capacity assessment result is added up to partially over topology by entirety, bright light figure, distribution map, peak value figure presents to user clearly, makes user can carry out multi-angle many sides Efficient Evaluation to NE capacity more easily.
Except the technical characteristic described in specification, be the known technology of those skilled in the art.

Claims (4)

1. a configurable NE capacity appraisal procedure, is characterized in that step content comprises:
(1) according to business demand, the overall topological diagram of configuration network, determine the managed element model needing in topological diagram to comprise, the index classification used is needed under each managed element model, the index classification defined is needed under each index classification, need the index assessed under each index set, wherein managed element model, index need to guarantee really exist in performance monitoring system, to guarantee that network element solid data, achievement data are all that Real-time Collection is come;
(2) for each index determined in step (1), according to business experience value or standard value, define corresponding threshold value, use for when gathering calculating;
(3) based on the configuration of step (1), varigrainedly gather calculating through at all levels, obtain final Capacity Assessment result; Concrete processing procedure is as follows:
Original index data are gathered by sky peak value, and for each model entity MO, every day, each index can obtain a peak value, within the regular hour, gathered by the time, for each index of each entity, obtain a peak value, present to user by peak value figure;
Based on index peak data, within the regular hour, gathered by the time, for each index of each entity, obtain a peak value, then add up the peak value number in each condition and range according to condition, present to user by distribution map;
Based on index peak data, State Transferring is carried out according to metrics-thresholds, obtain index state, index state is through gathering step by step, obtain index set state, index class state, overall topological statistic behavior respectively, based on the above-mentioned state obtained, gathered by the time, coordinate index peak time summarized results, obtain bright light diagram data;
Based on each status data above, obtain within the scope of the regular hour, the state status of each entity, the entity under each model is added up by state, obtain topology statistics.
2. the configurable NE capacity assessment models of claim 1 one kind, it is characterized in that, in content (1), overall network topology, managed element model, index classification, index set, index import XML file by editor and complete, wherein managed element model, index exists and guarantees Real-time Collection in performance monitoring system.
3. the configurable NE capacity assessment models of claim 1 one kind, is characterized in that, needs for threshold value corresponding to each Capacity Assessment index allocation in content (2), the corresponding alarm grade of each threshold range section.
4. the configurable NE capacity assessment models of claim 1 one kind, is characterized in that, peak value figure in content (3), distribution map, bright light figure, and the displaying of topological diagram also needs part web foreground code to support.
CN201410394094.5A 2014-08-12 2014-08-12 A kind of configurable NE capacity appraisal procedure Active CN104394539B (en)

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Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180070245A1 (en) * 2015-10-23 2018-03-08 China United Network Communications Group Company Limited Method and apparatus for network capacity expansion
CN108471353A (en) * 2018-01-22 2018-08-31 浙江鹏信信息科技股份有限公司 A method of the NE capacity analysis based on deep neural network algorithm and prediction
CN114726755A (en) * 2022-02-25 2022-07-08 中盈优创资讯科技有限公司 Business slice performance index acquisition monitoring method and device

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* Cited by examiner, † Cited by third party
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WO2010068156A1 (en) * 2008-12-12 2010-06-17 Telefonaktiebolaget L M Ericsson (Publ) Capacity monitoring of multi-service networks
US20100304742A1 (en) * 2009-05-26 2010-12-02 Shinichiro Tsuda Method, system, mobile terminal and computer program product
CN103942287A (en) * 2014-04-10 2014-07-23 大唐移动通信设备有限公司 Mass data processing method, database server and application server
CN103970641A (en) * 2014-05-15 2014-08-06 浪潮电子信息产业股份有限公司 Equipment expansion method based on capacity prediction technology

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2010068156A1 (en) * 2008-12-12 2010-06-17 Telefonaktiebolaget L M Ericsson (Publ) Capacity monitoring of multi-service networks
US20100304742A1 (en) * 2009-05-26 2010-12-02 Shinichiro Tsuda Method, system, mobile terminal and computer program product
CN103942287A (en) * 2014-04-10 2014-07-23 大唐移动通信设备有限公司 Mass data processing method, database server and application server
CN103970641A (en) * 2014-05-15 2014-08-06 浪潮电子信息产业股份有限公司 Equipment expansion method based on capacity prediction technology

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20180070245A1 (en) * 2015-10-23 2018-03-08 China United Network Communications Group Company Limited Method and apparatus for network capacity expansion
US10477413B2 (en) * 2015-10-23 2019-11-12 China United Network Communications Group Company Limited Method and apparatus for network capacity expansion
CN108471353A (en) * 2018-01-22 2018-08-31 浙江鹏信信息科技股份有限公司 A method of the NE capacity analysis based on deep neural network algorithm and prediction
CN108471353B (en) * 2018-01-22 2021-03-30 浙江鹏信信息科技股份有限公司 Network element capacity analysis and prediction method based on deep neural network algorithm
CN114726755A (en) * 2022-02-25 2022-07-08 中盈优创资讯科技有限公司 Business slice performance index acquisition monitoring method and device

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