WO2007019808A1 - Procede et systeme d'acquisition d'information sur le trafic en temps reel - Google Patents

Procede et systeme d'acquisition d'information sur le trafic en temps reel Download PDF

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Publication number
WO2007019808A1
WO2007019808A1 PCT/CN2006/002108 CN2006002108W WO2007019808A1 WO 2007019808 A1 WO2007019808 A1 WO 2007019808A1 CN 2006002108 W CN2006002108 W CN 2006002108W WO 2007019808 A1 WO2007019808 A1 WO 2007019808A1
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WO
WIPO (PCT)
Prior art keywords
counter
traffic
traffic information
statistical
processing module
Prior art date
Application number
PCT/CN2006/002108
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English (en)
Chinese (zh)
Inventor
Ye Yan
Xiaohai Yuan
Jian Ying
Original Assignee
Huawei Technologies 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 Huawei Technologies Co., Ltd. filed Critical Huawei Technologies Co., Ltd.
Publication of WO2007019808A1 publication Critical patent/WO2007019808A1/fr

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M15/00—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M15/00—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP
    • H04M15/58—Arrangements for metering, time-control or time indication ; Metering, charging or billing arrangements for voice wireline or wireless communications, e.g. VoIP based on statistics of usage or network monitoring
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04M—TELEPHONIC COMMUNICATION
    • H04M2215/00—Metering arrangements; Time controlling arrangements; Time indicating arrangements
    • H04M2215/01—Details of billing arrangements
    • H04M2215/0188—Network monitoring; statistics on usage on called/calling number

Definitions

  • the present invention relates to the field of communications technologies, and in particular, to a method and system for acquiring traffic information in real time. Background technique
  • the traffic information includes information about the call status of the exchange, the amount of call services, and the quality of the network.
  • the operator operates, maintains, and manages the exchange and its surrounding networks based on the traffic information, and designs for the operator. Provide reference data for business management.
  • the requirements for telecommunication users' traffic statistics function are more and more comprehensive, and the performance requirements are getting higher and higher.
  • FIG. 1 shows a schematic diagram of an existing principle for obtaining traffic information.
  • the traffic statistics server is used to implement the post-mortem statistics function of traffic.
  • the switch service processing module (SM, Switch Module) sends the call information to the traffic statistics server through the front management module (FAM) at the end of the call, and the traffic statistics server classifies, counts, and stores the information.
  • FAM front management module
  • the traffic statistics report is output to the user, wherein the pre-switch management module is a high-speed, massive, and secondary external memory of the switch.
  • the traffic information statistics server needs to perform statistics according to the information sent by the switch service processing module, and the information that can be sent from the service processing module to the traffic statistics server is limited, the traffic information statistics function is not comprehensive.
  • the service processing module must send the information of each call to the traffic statistics server, and the traffic statistics server also needs to save all the information to its memory (such as a hard disk).
  • the traffic statistics server When the traffic is high, the performance of the service processing module and the traffic statistics server will be a test, which reduces the reliability of the system.
  • the service processing module After the end of each call, the service processing module sends the call information to the traffic statistics server, which causes the information collected by the traffic statistics server to have a certain delay, and the real-time performance of the statistics is inevitably affected.
  • FIG. 2 is a schematic diagram showing another implementation principle of acquiring traffic information. It uses the business processing module for post-event statistics, and the statistical function is implemented in each business processing module.
  • the service processing module collects the call at the end of the call. At the end of each statistical period, the statistics are sent to the BAM (Behind Administration Module) through the Pre-Switch Management Module (FAM).
  • the post-switch management module is also a high-speed, massive, and two-level external storage device of the switch, which can save statistical results, synthesize the statistical results, and form a report output to the user.
  • a method for obtaining traffic information in real time includes: preset at least one counter in a service processing module;
  • the service processing module uses the counter to collect traffic data and perform traffic statistics.
  • the counter is preset by the following steps:
  • the method further includes setting a statistical task, a statistical period, and a statistical object.
  • the method further includes:
  • the service processing module transmits the traffic statistics result to the relevant management module.
  • the statistics of the event class ontology are implemented according to the following steps:
  • the counter of the event is accumulated as the event occurs
  • the service processing module records the counter value at the beginning and end of the statistical period, and calculates the difference. More suitably, follow the steps below to obtain the traffic class ontology data:
  • the occupied line number counter and the traffic auxiliary counter are set, and the traffic auxiliary counter is used to record the accumulated value of the occupied line number in time;
  • the service processing module scans the traffic assist counter and the sample count counter at the beginning and end of the statistical period, respectively, and calculates the traffic volume in the statistical period T by the following formula:
  • Traffic (the traffic assist amount at the end of the statistical period - the traffic assist amount at the start of the statistical cycle) / The number of samples in the statistical period.
  • the occupied line number counter n and the traffic volume auxiliary counter U are set, and r represents the number of lines occupied at the current time.
  • r represents the number of lines occupied at the current time.
  • U is the cumulative value of the number of scan lines in time; i is the time of the i-th sample point; j is the time of the j-th sample point; the time indicating the i-th sample point is used in the statistical object group The number of objects.
  • a fixed counter is set to record the traffic data.
  • a semi-fixed counter is set, the enumeration value is expanded according to the object number, an index value is generated, and counting and related operations are performed according to the index value.
  • a common counter area is set, and the counter in the common counter area is dynamically allocated according to the set statistical task.
  • a system for acquiring traffic information in real time comprising:
  • At least one counter preset in the service processing module, is configured to collect traffic data; and the traffic data processing module performs statistical processing on the traffic data collected by the counter to obtain traffic information.
  • the counter is formed by one or more fixed bytes in the shared memory by setting a shared memory in the service processing module.
  • the counter is a fixed counter;
  • the counter is a semi-fixed counter, and the enumeration value is expanded according to the object number, an index value is generated, and counting and related operations are performed according to the index value.
  • the system also includes a management module for receiving and managing traffic statistics results from the service processing module.
  • the present invention uses the embedded counter method to perform traffic information statistics, and only accumulates or subtracts the counter at each program point. At the end of the statistical period, the counter value is taken to form a statistical report output to the switch management module. In this way, the efficiency of traffic information statistics can be improved, the number of simultaneous statistics tasks is increased, and the traffic statistics function is enhanced.
  • Traffic statistics are calculated using the embedded counter method. Each time the program reaches a statistical point, the corresponding counter is counted, which improves the real-time and accuracy of traffic information statistics.
  • FIG. 1 is a schematic diagram of an implementation principle of acquiring traffic information in the prior art
  • FIG. 2 is a schematic diagram of another implementation principle of acquiring traffic information in the prior art
  • FIG. 3 is a flowchart of a method for acquiring traffic information according to an embodiment of the present invention.
  • FIG. 4 is a schematic diagram of a statistical data curve of an event class ontology in accordance with an embodiment of the present invention.
  • FIG. 5 is a schematic diagram of statistics of a traffic class ontology according to an embodiment of the present invention. detailed description
  • Switch refers to communication devices with switching functions, such as fixed network switches, wireless switches, softswitch devices, and Service Control Point (SCP).
  • SCP Service Control Point
  • Traffic statistics Also known as traffic measurement, traffic measurement, load measurement, traffic statistics. It measures on the exchange and its surrounding telephone networks, providing data on the measurement, planning, operation, and management of the telephone network.
  • Ontology Indicates the amount of data that must be collected for a measurement (such as traffic, number of calls, average duration, etc.).
  • Object refers to various physical or logical entities being measured and combinations thereof (eg, line group, Relay circuit group, common control unit, auxiliary unit, destination, etc.).
  • Measurement unit A specific type of measurement that specifies what can be measured, what is measured, and how it is measured.
  • Traffic volume The percentage of time that the device handles traffic as a percentage of the total duration, dimensionless, in Ireland (Erl), traffic usage, call traffic, etc.
  • Event A hardware or software action that occurs in a switch or surrounding network and is generated by the user or hardware or software and has a clear physical or logical meaning, called an event.
  • the number of occurrences of an event is an important part of the traffic information statistics, and the operation of the switch and the surrounding network can be described based on the value of these event times.
  • the method mainly includes: pre-embedding at least one counter in each service processing module SM; setting a statistical task, a statistical period, and a statistical object;
  • the processing module uses the counter to collect the traffic data and obtain the traffic information statistics result;
  • the service processing module transmits the traffic information statistics result to the switch management module BAM through the pre-switch management module FAM.
  • the method for pre-embedding the counter specifically includes a global shared memory as a counter area in each service processing module, and every 4 bytes in the memory serves as a counter.
  • the application of the business processing module accumulates (++) or subtracts (-) operations on a counter in the counter area in a contracted manner for statistical purposes.
  • the implementation of the embedded counter method mainly involves two aspects. One is to use the counter to count the various types of ontology. In the present invention, for each type of ontology (such as event class, traffic class, timely long class ontology, etc.), There are some differences in the specific processing methods. The second is how to manage these counters.
  • FIG. 4 is a schematic diagram showing statistical data of an event class ontology in an embodiment of the present invention.
  • the best thing about the counter structure is to do the accumulation. Therefore, for the "calls”, “occupied times”, “XXX times” and other ontology, you only need to simply ++ on the counters representing these ontology at the corresponding software process points.
  • the counter of the event is accumulated as the event occurs.
  • SM accesses the counter at the beginning and end of the statistical period T, and the difference is the number of events occurring during this statistical period.
  • a counter can serve statistical tasks for various statistical periods.
  • FIG. 5 is a schematic diagram showing the statistics of the traffic class ontology in the embodiment of the present invention. For the ontology of the traffic class, such as "occupied traffic", it is not only related to the number of occupations, but also related to the duration of each occupation. Therefore, traffic is measured by indirect scanning.
  • individual lines in the object (such as relay circuits in the trunk group) are scanned to obtain the number of lines occupied at different times... n m . .n is the number of buses in the statistic object. If the sampling interval Tp is sufficiently small, the traffic in the period can be approximated by the following equation:
  • USAGE represents the traffic volume (ie traffic intensity); M represents the number of samples in the statistical period; i represents the time of the i-th sample point; ni indicates that the time of the i-th sample point is in the statistical object group The number of objects in the state of use.
  • an "occupied line number counter” is used to indicate the number of lines occupied at the current time, ni.
  • the application module adds 1 to the "occupied line number counter” and ends with "occupied line”.
  • the number counter is decremented by 1. In this way, there is no need to scan each line, and the "Occupied Line Count Counter" always records the number of lines currently occupied in the statistics object at the current sample time.
  • a counter U (called the traffic auxiliary counter) is used to record the accumulated value of ni:
  • U represents the cumulative value of the number of scan lines in time
  • i represents the time of the i-th sample point
  • j represents the time of the j-th sample point
  • ni represents the moment of the i-th sample point is in the statistical object group The number of objects in the state of use.
  • Another counter S is used to record the total number of samples from the start of the system to a certain time, called the count counter. Therefore, the traffic volume in the statistical period T is:
  • USAGE represents the traffic volume (ie traffic intensity); Uj 2 represents the traffic assistance amount at the end of the statistical period (in ⁇ order number); 1 ⁇ indicates the statistical cycle start time In units of traffic volume assistance; M represents the number of samples in the statistical period, ie Sj 2 -Sji.
  • the traffic auxiliary counter and the sampling count counter are accumulated over time, and the SM scans the traffic auxiliary counter and the sampling number counter at the beginning and the end of the statistical cycle, respectively, and the difference and sampling of the two.
  • the quotient of the number of times is the traffic volume of the cycle.
  • M is the constant obtained from the statistical period set by the statistical task.
  • the duration information has an average duration of time, a duration of congestion, and the like.
  • the average occupancy time (occupied total duration / occupancy count)
  • the unit is the sampling interval T p (seconds)
  • Average occupancy time (occupation traffic assistance amount / occupancy count) * ⁇ ⁇ (seconds) Due to the large number of objects to be counted, it is unrealistic to statically assign a counter to each statistical item of each object in the switch. of. Therefore, different types of counters need to be designed to meet various statistical requirements.
  • the object When there is only one object in the measurement unit, for example: For global measurement of traffic, the object is "all subscriber lines". Only one set of counters is needed to count the body of this object. Such counters are called fixed counters. Fixed counters are allocated at system initialization and the number does not change with the SM configuration. The fixed counter can be described by an array: unsigned long main_counter[MAX_FIX_COUNTER_NUM]; The application can use the fixed class counter to correspond to the enumeration value of the ontology as an array of counters. Subscript, counting and refreshing.
  • the number of entities is only related to the largest tuple of the number of configurations of the object, such as the statistics of the relay group.
  • This type of counter is called a semi-fixed counter. Semi-fixed counters can also be described in arrays:
  • Unsigned long main_counter [MAX_HFIX_COUNTER_NlJM]; Unlike the fixed counter, the number of objects of the measurement unit using the semi-fixed counter has a multi-value value that is "expanded" according to the object number, thereby generating an index value, and counting and refreshing operations according to the index value.
  • the index of the counter takes the following form:
  • n length * n + ( entity - entity — begin )
  • length is the number of ontology of a measurement unit
  • entity_begin is the starting enumeration value of the ontology of a measurement unit, ie MS—H— XXX—XXX— ENTITY—BEGIN + 1
  • entity is the unified numbered body of a measurement unit
  • each measurement unit object does not correspond to a group of counters, but there is a common counter area common to all of these objects. The size of this common counter area is fixed. Only when the BAM has set up a statistical task, assigns a set of counters to the corresponding statistical object. This counter is released when the task is completed and deleted.
  • the embedded counter and the post-analysis method may be used at the same time, and the measurement unit with less global class and the number of objects may be counted by using a pre-embedded counter, and for a specific object.
  • the measurement unit that performs statistics (for example, statistics on the call situation of a certain user) is statistically analyzed by means of post-mortem analysis. In this way, the advantages of the two methods can be taken into account, and the traffic information statistics function can be unified and efficient.
  • the method of using the embedded counter is used to perform traffic information statistics, only in each Program points perform ++ and one operations on the counter. At the end of the statistical period, the counter value is taken to form a statistical report output to the BAM. In this way, the efficiency of traffic information statistics can be improved, the number of tasks simultaneously counted is increased, and the comprehensiveness of the traffic information statistics function is enhanced.
  • the traffic counter is calculated by using the embedded counter method. Whenever the program reaches a statistical point, the corresponding counter is counted, which improves the real-time performance and accuracy of the traffic information statistics.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Monitoring And Testing Of Exchanges (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

Ce procédé et ce système d'acquisition d'information sur le trafic en temps réel consistent à: prédéfinir au moins un compteur dans le module service ainsi que le module service utilisant le compteur pour recueillir l'information sur le trafic et élaborer les statistiques sur le trafic. Le système de cette invention comprend: au moins un compteur prédéfini dans le module service utilisé pour recueillir l'information sur le trafic; un module de traitement de données trafic utilisé pour élaborer les statistiques des données de trafic recueillies par le compteur et obtenir l'information sur le trafic. Ainsi, on améliore l'efficacité des statistiques sur le trafic, le nombre de tâches statistiques mises en oeuvre et la fonction concernant les statistiques du trafic. Par ailleurs, on augmente la capacité en temps réel et la précision des statistiques sur le trafic.
PCT/CN2006/002108 2005-08-19 2006-08-18 Procede et systeme d'acquisition d'information sur le trafic en temps reel WO2007019808A1 (fr)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CNA2005100367810A CN1889602A (zh) 2005-08-19 2005-08-19 一种实现实时话务统计的方法
CN200510036781.0 2005-08-19

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CN101697600B (zh) * 2009-09-27 2012-05-09 中兴通讯股份有限公司 一种彩铃数据自动分析处理方法和装置
CN103365965B (zh) * 2013-06-21 2016-12-07 大唐移动通信设备有限公司 一种数据的汇总处理方法和装置
CN105228187A (zh) * 2015-09-14 2016-01-06 北京佳讯飞鸿电气股份有限公司 一种实时统计话务量的方法
CN106572276A (zh) * 2015-10-09 2017-04-19 中兴通讯股份有限公司 话务上报及统计方法、业务处理及话务统计装置、系统

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JPH10308964A (ja) * 1997-05-08 1998-11-17 Nippon Telegr & Teleph Corp <Ntt> トラヒック情報収集システム
CN1304249A (zh) * 2000-03-11 2001-07-18 深圳市中兴通讯股份有限公司 话务采集及话务量计算的实现方法
CN1471269A (zh) * 2002-05-21 2004-01-28 �ʼ�Kpn��˾ 用于网络监控的系统、工具和方法和相应的网络
EP1471686A2 (fr) * 2003-04-25 2004-10-27 Alcatel IP Networks, Inc. Optimisation de l'utilisation de compteurs pour des statistiques

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JPH10308964A (ja) * 1997-05-08 1998-11-17 Nippon Telegr & Teleph Corp <Ntt> トラヒック情報収集システム
CN1304249A (zh) * 2000-03-11 2001-07-18 深圳市中兴通讯股份有限公司 话务采集及话务量计算的实现方法
CN1471269A (zh) * 2002-05-21 2004-01-28 �ʼ�Kpn��˾ 用于网络监控的系统、工具和方法和相应的网络
EP1471686A2 (fr) * 2003-04-25 2004-10-27 Alcatel IP Networks, Inc. Optimisation de l'utilisation de compteurs pour des statistiques

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