CN101447934B - Business flow-recognizing method and system thereof and business flow charging method and system thereof - Google Patents

Abstract

Translated fromChinese

本发明涉及数据计费技术，针对现有端口识别法操作过程繁琐、流量特征识别法扩展性差和深度包检测法无法处理加密报文的缺陷，提供一种业务流识别方法和系统以及业务流计费方法和系统。业务流识别方法包括：采集所述业务流的多个传输特征；对于每一传输特征，依据该传输特征的类型读取其对应的特征权重，以计算该传输特征的贡献值；计算多个传输特征的贡献值之和，据此识别业务流类型。本发明还提供了一种业务流识别系统以及业务流计费方法和系统。本发明可实现业务流类型的准确识别；计算贡献值时依据的特征权重可预先设置，且可依具体需要任意改变；计算所需数据与数据包中封装的具体内容无关，因此同样适用于加密的报文；过程简单，易于实现。

The present invention relates to data billing technology, aiming at the shortcomings of the existing port identification method, such as the cumbersome operation process, the poor scalability of the traffic feature identification method and the inability to process encrypted messages by the deep packet detection method, it provides a service flow identification method and system and a service flow meter method and system. The business flow identification method includes: collecting multiple transmission characteristics of the business flow; for each transmission characteristic, reading its corresponding characteristic weight according to the type of the transmission characteristic to calculate the contribution value of the transmission characteristic; calculating multiple transmission characteristics The sum of the contribution values of the characteristics, according to which the business flow type is identified. The invention also provides a service flow identification system and a service flow charging method and system. The present invention can realize accurate identification of business flow types; the feature weights based on the calculation of contribution values can be preset and can be changed arbitrarily according to specific needs; the data required for calculation has nothing to do with the specific content encapsulated in the data packet, so it is also suitable for encryption message; the process is simple and easy to implement.

Description

Translated fromChinese

一种业务流识别方法和系统以及业务流计费方法和系统A service flow identification method and system, and a service flow charging method and system

技术领域technical field

本发明涉及数据计费技术，更具体地说，涉及一种业务流识别方法和系统以及计费方法和系统。The present invention relates to data billing technology, more specifically, to a business flow identification method and system as well as a billing method and system.

背景技术Background technique

随着移动网络、固定网络和互联网的融合，基于IP的数据包传递已成为一种趋势，这不仅改变了原有网络运营的模式，而且对网络监控及其计费的影响也很大。业务计费、内容计费逐渐成为网络计费的趋势，但如何进行快速准确的业务识别是选择计费方式的前提。With the integration of mobile networks, fixed networks and the Internet, IP-based data packet transmission has become a trend, which not only changes the original network operation mode, but also has a great impact on network monitoring and billing. Service charging and content charging have gradually become the trend of network charging, but how to quickly and accurately identify services is the prerequisite for choosing a charging method.

业务识别是指根据数据包的相关特征来识别该数据包所对应的业务类型。而相比对数据包业务类型的识别，对业务流的识别则显得更有实用价值。业务流一般是指具有相同的源IP、目的IP、源端口、目的端口、协议类型、开始时间和结束时间等属性的数据包的集合。而在具体实现过程中，一般仅以源IP、目的IP、源端口、目的端口、协议类型为基准来识别业务流，即具有相同五元组属性(源点IP地址、目的点IP地址、源端口号、目的端口号、协议标识号)的数据包构成一个业务流。Service identification refers to identifying the service type corresponding to the data packet according to the relevant characteristics of the data packet. Compared with the identification of the business type of the data packet, the identification of the business flow appears to be more practical. A business flow generally refers to a collection of data packets with the same source IP, destination IP, source port, destination port, protocol type, start time, and end time. In the specific implementation process, generally only the source IP, destination IP, source port, destination port, and protocol type are used as a benchmark to identify service flows, that is, they have the same five-tuple attributes (source IP address, destination IP address, source port number, destination port number, and protocol identification number) constitute a service flow.

现有的业务流识别方法有端口识别法、流量特征识别法(TLI)和深度包检测法(DPI)。Existing traffic identification methods include port identification, traffic signature identification (TLI) and deep packet inspection (DPI).

端口识别法首先析取路由器中的包头信息(包括IP层所承载的上层协议的协议号，数据包的源地址、目的地址、源端口和目的端口)，然后与预先设定的规则进行比较，根据比较的结果得出其业务类型。目前，这种简单的五元组ACL(Access Control List，访问控制列表)技术已经相当成熟，在各个层次的路由设备(包括城域汇聚、城域核心、骨干接入、骨干汇聚、骨干核心)中均能得到较好的支持，尤其是在高端设备中能够以硬件方式进行高效处理，因此得到了大规模的部署。这种方法的不足之处主要体现在配置过程繁琐，整个过程均需手工操作完成；各个设备的配置规则完全独立，无法实现联合控制；对具体业务的识别能力很差；使用简单的规避手段就可透过检查。The port identification method first extracts the packet header information in the router (including the protocol number of the upper layer protocol carried by the IP layer, the source address, destination address, source port and destination port of the data packet), and then compares it with the preset rules. According to the result of the comparison, its business type is obtained. At present, this simple five-tuple ACL (Access Control List, Access Control List) technology has been quite mature, routing equipment at all levels (including metro aggregation, metro core, backbone access, backbone aggregation, backbone core) Both can get better support, especially in high-end equipment, which can be efficiently processed by hardware, so it has been deployed on a large scale. The shortcomings of this method are mainly reflected in the cumbersome configuration process, and the entire process needs to be completed manually; the configuration rules of each device are completely independent, and joint control cannot be realized; the ability to identify specific services is poor; Can pass inspection.

流量特征识别法(TLI，Transport Layer Identification)通过对传输层数据包进行分析并结合其表现出来的流量特征，来识别某个网络流属于何种业务。上述流量特征可以是报文中的特征字符串，也可以是应用行为特征，或者是一些统计特征。基于统计特征的识别方法在实时流量识别应用存在困难。流量特征识别法存在的一个缺陷是扩展性差，需要大量的事前分析来确定排他特征。因此其在目前的前多媒体应用中尚不多见。Transport Layer Identification (TLI) identifies what kind of service a certain network flow belongs to by analyzing the transport layer data packets and combining the traffic characteristics displayed by them. The foregoing traffic characteristics may be characteristic character strings in packets, application behavior characteristics, or some statistical characteristics. The identification method based on statistical features has difficulties in the application of real-time traffic identification. A disadvantage of the flow signature identification method is that it has poor scalability and requires a lot of prior analysis to determine exclusive features. Therefore, it is still rare in current pre-multimedia applications.

深度包检测法(DPI，Deep Packet Inspection)采用协议分析与还原技术，提取网络应用层数据，通过分析其载荷所包含的协议特征值，来判断网络流量的业务类型。它以业务流的连接为对象，深入分析业务的高层协议内容，结合数据包的深度特征值检测和协议行为的分析，以达到应用层网络协议识别为目的。该方法能够了解和分析应用层(第七层)的数据流，如在HTTP格式中，DPI设备能够识别正被访问的HTTP主机，并执行HTTP重定向。IP流量应用级分类，实现对特定用户或用户群信息存储服务的实时分析与控制。DPI的识别法包括基于“特征字”的识别、应用层网关识别、行为模式识别三种。但DPI很难处理加密的报文。Deep Packet Inspection (DPI, Deep Packet Inspection) adopts protocol analysis and restoration technology to extract network application layer data, and judge the service type of network traffic by analyzing the protocol characteristic value contained in its load. It takes the connection of the business flow as the object, deeply analyzes the high-level protocol content of the business, and combines the deep feature value detection of the data packet and the analysis of the protocol behavior to achieve the purpose of identifying the application layer network protocol. This method can understand and analyze the data flow of the application layer (the seventh layer). For example, in the HTTP format, the DPI device can identify the HTTP host being accessed and perform HTTP redirection. Application-level classification of IP traffic to realize real-time analysis and control of information storage services for specific users or user groups. The recognition method of DPI includes three types: recognition based on "signature words", application layer gateway recognition, and behavior pattern recognition. But it is difficult for DPI to handle encrypted messages.

因此，需要一种业务流识别方案，来克服上述三种方法存在的缺陷。Therefore, a business flow identification scheme is needed to overcome the defects in the above three methods.

发明内容Contents of the invention

本发明要解决的技术问题在于，针对现有端口识别法操作过程繁琐、流量特征识别法扩展性差和深度包检测法无法处理加密报文的缺陷，提供一种业务流识别方法和系统以及计费方法和系统。The technical problem to be solved by the present invention is to provide a business flow identification method and system and a billing system for the defects of the existing port identification method that the operation process is cumbersome, the traffic feature identification method has poor scalability, and the deep packet inspection method cannot handle encrypted messages. methods and systems.

本发明解决其技术问题所采用的技术方案是：The technical solution adopted by the present invention to solve its technical problems is:

一种业务流识别方法，用于识别业务流类型，包括如下步骤：A business flow identification method for identifying a business flow type, comprising the steps of:

S1、采集所述业务流的多个传输特征；S1. Collect multiple transmission characteristics of the service flow;

S2、对于每一传输特征，依据该传输特征的类型读取其对应的特征权重，以计算该传输特征的贡献值；S2. For each transmission feature, read its corresponding feature weight according to the type of the transmission feature to calculate the contribution value of the transmission feature;

S3、计算多个传输特征的贡献值之和，据此识别业务流类型。S3. Calculate the sum of the contribution values of multiple transmission characteristics, and identify the service flow type accordingly.

在本发明提供的业务流识别方法中：所述业务流的类型为以下类型其中之一：In the service flow identification method provided by the present invention: the type of the service flow is one of the following types:

弹性流；elastic flow;

稳定流。Steady flow.

在本发明提供的业务流识别方法中，所述传输特征为下列特征其中之一：In the service flow identification method provided by the present invention, the transmission feature is one of the following features:

时延；delay;

抖动；shake;

丢包率；Packet loss rate;

带宽。bandwidth.

在本发明提供的业务流识别方法中，所述步骤S3进一步包括，若所述多个传输特征的贡献值之和大于预先设定的门限值，则该业务流为稳定流；否则，该业务流为弹性流。In the service flow identification method provided by the present invention, the step S3 further includes, if the sum of the contribution values of the multiple transmission characteristics is greater than a preset threshold value, then the service flow is a stable flow; otherwise, the Business flow is elastic flow.

本发明还提供了一种业务流计费方法，用于对业务流进行计费，包括如下步骤：The present invention also provides a service flow charging method, which is used to charge the service flow, including the following steps:

A1、识别业务流类型；A1. Identify the business flow type;

A2、依据业务流类型对其进行计费，A2. Charge according to the type of business flow,

所述步骤A1进一步包括：Said step A1 further comprises:

S1、采集所述业务流的多个传输特征；S1. Collect multiple transmission characteristics of the service flow;

S2、对于每一传输特征，依据该传输特征的类型读取其对应的特征权重，以计算该传输特征的贡献值；S2. For each transmission feature, read its corresponding feature weight according to the type of the transmission feature to calculate the contribution value of the transmission feature;

S3、计算多个传输特征的贡献值之和，据此识别业务流类型。S3. Calculate the sum of the contribution values of multiple transmission characteristics, and identify the service flow type accordingly.

本发明还提供了一种业务流识别系统，用于识别业务流类型，包括：The present invention also provides a service flow identification system for identifying service flow types, including:

采集模块，用于采集所述业务流的多个传输特征；A collection module, configured to collect multiple transmission characteristics of the service flow;

贡献值计算模块，与采集模块通信连接，用于对于每一传输特征，依据该传输特征的类型读取其对应的特征权重，以计算该传输特征的贡献值；The contribution value calculation module is communicated with the acquisition module, and is used to read the corresponding feature weight according to the type of the transmission feature for each transmission feature, so as to calculate the contribution value of the transmission feature;

判断模块，与贡献值计算模块通信连接，用于计算多个传输特征的贡献值之和，据此判定业务流类型。The judging module is communicated with the contribution value calculation module, and is used for calculating the sum of contribution values of multiple transmission characteristics, and judging the service flow type accordingly.

在本发明提供的业务流识别系统中，所述业务流的类型为以下类型其中之一：In the service flow identification system provided by the present invention, the type of the service flow is one of the following types:

弹性流；elastic flow;

稳定流。Steady flow.

在本发明提供的业务流识别系统中，所述传输特征为下列特征其中之一：In the service flow identification system provided by the present invention, the transmission feature is one of the following features:

时延；delay;

抖动；shake;

丢包率；Packet loss rate;

带宽。bandwidth.

在本发明提供的业务流识别系统中，所述判断模块用于将所述多个传输特征的贡献值与预先设定的门限值进行比较，若所述多个传输特征的贡献值之和大于预先设定的门限值，则判定该业务流为稳定流；否则，判定该业务流为弹性流。In the service flow identification system provided by the present invention, the judging module is used to compare the contribution value of the plurality of transmission characteristics with a preset threshold value, if the sum of the contribution values of the plurality of transmission characteristics is greater than the preset threshold, it is determined that the service flow is a stable flow; otherwise, it is determined that the service flow is an elastic flow.

本发明还提供了一种业务流计费系统，用于对业务流进行计费，包括：The present invention also provides a business flow charging system, which is used to charge the business flow, including:

识别模块，用于识别业务流类型；An identification module, configured to identify the type of business flow;

计费模块，与识别模块通信连接，用于依据业务流类型对其进行计费，The billing module is communicatively connected with the identification module, and is used for billing it according to the type of business flow,

所述识别模块进一步包括：The identification module further includes:

采集模块，用于采集所述业务流的多个传输特征；A collection module, configured to collect multiple transmission characteristics of the service flow;

贡献值计算模块，与采集模块通信连接，用于对于每一传输特征，依据该传输特征的类型读取其对应的特征权重，以计算该传输特征的贡献值；The contribution value calculation module is communicated with the acquisition module, and is used to read the corresponding feature weight according to the type of the transmission feature for each transmission feature, so as to calculate the contribution value of the transmission feature;

判断模块，与贡献值计算模块通信连接，用于计算多个传输特征的The judging module is communicated with the contribution value calculation module, and is used to calculate a plurality of transmission characteristics

贡献值之和，据此判定业务流类型。The sum of contribution values is used to determine the business flow type.

实施本发明的技术方案，具有以下有益效果，依据业务流每一传输特征的特征权重来计算其贡献值，再依据各贡献值之和来判定业务流的类型，可实现业务流类型的准确识别；计算贡献值时依据的特征权重可预先设置，且可依具体需要任意改变，因此可适用于任意业务流的识别；计算所需数据与数据包中封装的具体内容无关，因此同样适用于加密的报文；整个过程操作简单，易于实现。Implementing the technical solution of the present invention has the following beneficial effects. The contribution value is calculated according to the characteristic weight of each transmission characteristic of the service flow, and then the type of the service flow is determined according to the sum of each contribution value, so that the accurate identification of the service flow type can be realized ; The feature weights used to calculate the contribution value can be preset and can be changed arbitrarily according to specific needs, so it is applicable to the identification of any business flow; the data required for calculation has nothing to do with the specific content encapsulated in the data packet, so it is also suitable for encryption messages; the whole process is simple to operate and easy to implement.

附图说明Description of drawings

下面将结合附图及实施例对本发明作进一步说明，附图中：The present invention will be further described below in conjunction with accompanying drawing and embodiment, in the accompanying drawing:

图1是依据本发明一较佳实施例的业务流识别方法的流程图；Fig. 1 is a flowchart of a service flow identification method according to a preferred embodiment of the present invention;

图2是依据本发明一较佳实施例的计费方法的流程图；Fig. 2 is a flowchart of a billing method according to a preferred embodiment of the present invention;

图3是依据本发明一较佳实施例的业务流识别系统的结构示意图；FIG. 3 is a schematic structural diagram of a service flow identification system according to a preferred embodiment of the present invention;

图4是依据本发明一较佳实施例的业务流计费系统的结构示意图。Fig. 4 is a schematic structural diagram of a service flow charging system according to a preferred embodiment of the present invention.

具体实施方式Detailed ways

为了使本发明的目的、技术方案及优点更加清楚明白，以下结合附图及实施例，对本发明进行进一步详细说明。应当理解，此处所描述的具体实施例仅仅用以解释本发明，并不用于限定本发明。In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

图1是依据本发明一较佳实施例的业务流识别方法100的流程图。如图1所示，方法100开始于步骤102。Fig. 1 is a flowchart of a serviceflow identification method 100 according to a preferred embodiment of the present invention. As shown in FIG. 1 ,method 100 begins atstep 102 .

随后，在下一步骤104，采集业务流的多个传输特征。所述传输特征包括例如但不限于业务流在传输过程中的时延、抖动、丢包率和所占用的带宽等。Then, in thenext step 104, a plurality of transmission characteristics of the traffic flow are collected. The transmission characteristics include, for example but not limited to, time delay, jitter, packet loss rate and occupied bandwidth of the service flow during transmission.

时延指业务流从发送端到接收端所需要的传输时间间隔，影响时延的因素主要有传播延迟、链路速度延迟、交换和路由延迟、排队延迟等。Latency refers to the transmission time interval required by the service flow from the sender to the receiver. The main factors affecting the delay are propagation delay, link speed delay, switching and routing delay, and queuing delay.

抖动指在一段策略时间间隔内，最大的业务流传输时延和最小的业务流传输时延的差值。Jitter refers to the difference between the maximum service flow transmission delay and the minimum service flow transmission delay within a strategic time interval.

丢包率指业务流在两点之间传输时丢失部分的数量与发送的业务流总量的比值。当网络拥塞、传输损伤、超过生存期TTL时，就可能发生丢包。The packet loss rate refers to the ratio of the number of lost parts to the total amount of sent service flows when the service flow is transmitted between two points. Packet loss may occur when the network is congested, the transmission is damaged, or the lifetime TTL is exceeded.

带宽也叫吞吐量，指IP业务流的传输速率，可用平均速率和峰值速率表示。Bandwidth is also called throughput, which refers to the transmission rate of IP service flow, which can be represented by average rate and peak rate.

随后，在下一步骤106，读取各传输特征的特征权重，计算每一传输特征的贡献值。Then, in thenext step 106, the feature weight of each transmission feature is read, and the contribution value of each transmission feature is calculated.

随后，在下一步骤108，对各个传输特征的贡献值求和，计算业务流的类型特征值。Then, in thenext step 108, the contribution values of each transmission characteristic are summed to calculate the type characteristic value of the service flow.

随后，在下一步骤110，依据业务流的类型特征值判定业务流的类型，例如弹性流或者稳定流。Then, in thenext step 110, the type of the service flow is determined according to the characteristic value of the type of the service flow, such as elastic flow or stable flow.

最后，方法100结束于步骤112。Finally, themethod 100 ends atstep 112 .

下文以具体实例来描述方法100中的各个步骤。Each step in themethod 100 is described below with specific examples.

由上文所述可知，类型特征值与各个传输特征之间的关系可通过公式1来描述：From the above, it can be seen that the relationship between the type characteristic value and each transmission characteristic can be described by formula 1:

y＝β₀+β₁x₁+β₂x₂+β₃x₃+β₄x₄   (公式1)y=β₀ +β₁ x₁ +β₂ x₂ +β₃ x₃ +β₄ x₄ (Formula 1)

其中，y为类型特征值；x₁～x₄分别代表采集得到的时延(单位为ms)、抖动(单位为ms)、丢包率(万分之一)和所占用的带宽(KB)等传输特征，β₁～β₄分别代表时延、抖动、丢包率和所占用的带宽所对应的特征权重。由上文所述可知，除了时延、抖动、丢包率和所占用的带宽之外，传输特征中还可包含其他参数。由于这些其他参数对类型特征值的大小影响不大，因此可用β₀来代表时延、抖动、丢包率和带宽这四个传输特征以外的其他所有传输特征对类型特征值的影响。β₁x₁～β₄x₄分别代表时延、抖动、丢包率和所占用的带宽所对应的贡献值。在经过上述公式1计算得到类型特征值y之后，可比对预先设定的门限值来确定业务流的类型，例如，可将门限值设为0.5，同时定义若0.5<y<1，则业务流类型为稳定流，若0<y<0.5，则业务流类型为弹性流。Among them, y is the characteristic value of the type; x₁ ~ x₄ respectively represent the acquired time delay (unit is ms), jitter (unit is ms), packet loss rate (1/10,000) and occupied bandwidth (KB) β₁ to β₄ respectively represent the characteristic weights corresponding to delay, jitter, packet loss rate and occupied bandwidth. It can be known from the above that, in addition to delay, jitter, packet loss rate and occupied bandwidth, transmission characteristics may also include other parameters. Since these other parameters have little effect on the type eigenvalue,_β0 can be used to represent the influence of all transmission characteristics other than the four transmission characteristics of delay, jitter, packet loss rate and bandwidth on the type eigenvalue. β₁ x₁ to β₄ x₄ respectively represent the contribution values corresponding to delay, jitter, packet loss rate and occupied bandwidth. After the type characteristic value y is calculated by the above formula 1, the type of service flow can be determined by comparing the preset threshold value. For example, the threshold value can be set to 0.5, and if 0.5<y<1, the service flow The flow type is stable flow, if 0<y<0.5, the service flow type is elastic flow.

在依据上述公式1来计算类型特征值y之前，首先需要确定公式1中的各个特征权重β₁～β₄，以及β₀的值，上述参数的确定过程也可依照公式1来进行。例如，首先采集多个业务流的传输特征，所采集的业务流既包括稳定流，又包括弹性流，对于稳定流，将其类型特征值设为1，对于弹性流，将其类型特征值设为0，采集得到的多组传输特征如下列表1所示：Before calculating the type feature value y according to the above formula 1, it is first necessary to determine the respective feature weights β₁ to β₄ and the value of β₀ in the formula 1, and the determination process of the above parameters can also be carried out according to the formula 1. For example, first collect the transmission characteristics of multiple business flows. The collected business flows include both stable flow and elastic flow. For the stable flow, set its type characteristic value to 1, and for the elastic flow, set its type characteristic value to is 0, and the collected multiple sets of transmission characteristics are shown in List 1 below:

表1Table 1

即：Right now:

y^T＝(1，0，0，0，0，1，1，0，0)^yT = (1, 0, 0, 0, 0, 1, 1, 0, 0)

$\mathrm{<span><span>X</span>x</span>}<span><span>=</span>=</span>\left(\begin{array}{ccccc}\mathrm{<span><span>1</span>1</span>}& \mathrm{<span><span>8</span>8</span>}& \mathrm{<span><span>1</span>1</span>}& \mathrm{<span><span>0.009993</span>0.009993</span>}& \mathrm{<span><span>56</span>56</span>}\\ \mathrm{<span><span>0</span>0</span>}& \mathrm{<span><span>15</span>15</span>}& \mathrm{<span><span>24</span>twenty\; four</span>}& \mathrm{<span><span>0.004132</span>0.004132</span>}& \mathrm{<span><span>178</span>178</span>}\\ \mathrm{<span><span>0</span>0</span>}& \mathrm{<span><span>14</span>14</span>}& \mathrm{<span><span>1</span>1</span>}& \mathrm{<span><span>0</span>0</span>}& \mathrm{<span><span>97</span>97</span>}\\ \mathrm{<span><span>0</span>0</span>}& \mathrm{<span><span>18</span>18</span>}& \mathrm{<span><span>9</span>9</span>}& \mathrm{<span><span>0</span>0</span>}& \mathrm{<span><span>143</span>143</span>}\\ \mathrm{<span><span>0</span>0</span>}& \mathrm{<span><span>10</span>10</span>}& \mathrm{<span><span>4</span>4</span>}& \mathrm{<span><span>38.664</span>38.664</span>}& \mathrm{<span><span>132</span>132</span>}\\ \mathrm{<span><span>1</span>1</span>}& \mathrm{<span><span>7</span>7</span>}& \mathrm{<span><span>1</span>1</span>}& \mathrm{<span><span>0.21069</span>0.21069</span>}& \mathrm{<span><span>71</span>71</span>}\\ \mathrm{<span><span>1</span>1</span>}& \mathrm{<span><span>13</span>13</span>}& \mathrm{<span><span>0</span>0</span>}& \mathrm{<span><span>112410</span>112410</span>}& \mathrm{<span><span>38</span>38</span>}\\ \mathrm{<span><span>0</span>0</span>}& \mathrm{<span><span>15</span>15</span>}& \mathrm{<span><span>1</span>1</span>}& \mathrm{<span><span>1391.1</span>1391.1</span>}& \mathrm{<span><span>134</span>134</span>}\\ \mathrm{<span><span>0</span>0</span>}& \mathrm{<span><span>14</span>14</span>}& \mathrm{<span><span>1</span>1</span>}& \mathrm{<span><span>1086.9</span>1086.9</span>}& \mathrm{<span><span>130</span>130</span>}\end{array}\right)$

因而可求得$\mathrm{\&beta;}=\left(\begin{array}{c}1.850067\\ -0.03720974\\ 0.027485937\\ 0.0000004239\\ -0.01083945\end{array}\right).$Therefore, it can be obtained$\mathrm{\&beta;}=\left(\begin{array}{c}1.850067\\ -0.03720974\\ 0.027485937\\ 0.0000004239\\ -0.01083945\end{array}\right).$

接下来，对于需要判定其类型的业务流，便可依据上述公式1和刚刚计算得出的传输特征的特征权重来判定其业务类型。例如对于下列一组传输特征：Next, for the service flow whose type needs to be determined, the service type can be determined according to the above formula 1 and the characteristic weight of the transmission characteristic just calculated. For example, for the following set of transfer characteristics:

表2Table 2

可依据时延、抖动、丢包率和所占用的带宽的具体数值(如表2中前4列所示)，计算得出类型特征值(如表2中第6列所示)。在计算得出上述类型特征值后，可依据预先设定的门限值，例如上文所述的0.5，来判定业务类型，例如当类型特征值大于0.5时，则业务流为稳定流；当类型特征值小于0.5时，则业务流为弹性流。如上文所述，用1来代表稳定流，用0来代表弹性流。经过判定得到的业务流类型如上述表2中第7列所示。上述表2中第5列所示内容为上述特征值所对应的业务流的真实类型，通过将上述表2中第5列与第7列进行比对可知，本发明提供的技术方案可以准确识别业务流的类型。Based on the specific values of delay, jitter, packet loss rate and occupied bandwidth (as shown in the first 4 columns in Table 2), the type characteristic value (as shown in the 6th column in Table 2) can be calculated. After calculating the characteristic value of the above type, the service type can be determined according to the preset threshold value, such as 0.5 mentioned above. For example, when the characteristic value of the type is greater than 0.5, the service flow is a stable flow; when When the type feature value is less than 0.5, the service flow is an elastic flow. As mentioned above, use 1 to represent steady flow and 0 to represent elastic flow. The determined service flow type is shown in column 7 in Table 2 above. The content shown in the fifth column in the above table 2 is the true type of the service flow corresponding to the above characteristic value. By comparing the fifth column and the seventh column in the above table 2, it can be seen that the technical solution provided by the present invention can accurately identify Type of business flow.

本发明还提供了一种基于上述业务流识别方法的计费方法，下文就结合图2来对其进行描述。The present invention also provides a charging method based on the above service flow identification method, which will be described below with reference to FIG. 2 .

图2是依据本发明一较佳实施例的计费方法200的流程图。如图2所示，方法200开始于步骤202。Fig. 2 is a flowchart of abilling method 200 according to a preferred embodiment of the present invention. As shown in FIG. 2 ,method 200 starts atstep 202 .

随后，在下一步骤204，依据前文所述的方法100判定业务流的类型。Then, in thenext step 204, the type of the service flow is determined according to themethod 100 described above.

随后，在下一步骤206，依据在步骤204中判定得出的业务流类型，选择对应的计费方式，例如，若业务流类型为稳定流，则可选择内容计费，即Subsequently, in thenext step 206, according to the business flow type determined instep 204, select the corresponding charging method, for example, if the business flow type is a stable flow, you can choose content charging, that is

其中，T_s为会话起始时间，T_e为会话结束时间，p₁是稳定流的单位时间价格。Among them, T_s is the session start time, T_e is the session end time, p₁ is the unit time price of the steady flow.

若业务流类型为弹性流，则可选择流量计费，即If the service flow type is elastic flow, traffic accounting can be selected, that is,

F₂＝V×p₂F₂ =V×p₂

V为一次会话所传递的数据量，p₂为弹性流的单位流量价格。V is the amount of data transferred in one session, and p₂ is the unit traffic price of elastic flow.

最后，方法200结束于步骤208。Finally, themethod 200 ends atstep 208 .

本发明还提供了一种业务流识别系统，下面就结合图3对其进行描述。The present invention also provides a service flow identification system, which will be described below with reference to FIG. 3 .

图3是依据本发明一较佳实施例的业务流识别系统300的结构示意图。如图3所示，业务流识别系统300包括采集模块302、贡献值计算模块304和判断模块306。Fig. 3 is a schematic structural diagram of a serviceflow identification system 300 according to a preferred embodiment of the present invention. As shown in FIG. 3 , the serviceflow identification system 300 includes acollection module 302 , a contribution value calculation module 304 and ajudgment module 306 .

采集模块302用于采集业务流的多个传输特征，包括但不限于业务流在传输过程中的时延、抖动、丢包率和所占用的带宽等。有关传输特征的内容已在前文做了描述，因此此处不再赘述。Thecollection module 302 is used to collect multiple transmission characteristics of the service flow, including but not limited to delay, jitter, packet loss rate and occupied bandwidth of the service flow during transmission. The content about the transmission characteristics has been described above, so it will not be repeated here.

贡献值计算模块304与采集模块302通信连接，用于对于每一传输特征，依据该传输特征的类型读取其对应的特征权重，以计算该传输特征的贡献值。The contribution value calculation module 304 is connected in communication with theacquisition module 302, and is used to read the corresponding feature weight according to the type of the transmission feature for each transmission feature, so as to calculate the contribution value of the transmission feature.

判断模块306与贡献值计算模块304通信连接，用于计算多个传输特征的贡献值之和，即类型特征值，并将该类型特征值与预先设定的门限值进行比较，以判定业务流类型。The judgingmodule 306 communicates with the contribution value calculation module 304, and is used to calculate the sum of the contribution values of multiple transmission characteristics, that is, the type characteristic value, and compare the type characteristic value with a preset threshold value to determine the service stream type.

本发明还提供了一种计费系统，下面就结合图4对其进行描述。The present invention also provides a billing system, which will be described below with reference to FIG. 4 .

图4是依据本发明一较佳实施例的业务流计费系统400的结构示意图。如图4所示，业务流计费系统400包括业务流识别模块402和计费模块404。Fig. 4 is a schematic structural diagram of a serviceflow charging system 400 according to a preferred embodiment of the present invention. As shown in FIG. 4 , the serviceflow charging system 400 includes a service flow identification module 402 and acharging module 404 .

业务流识别模块402用于识别业务流类型，其具体结构已经在上文结合图3做了详细的描述，因此此处不再赘述。The service flow identification module 402 is used to identify the service flow type, and its specific structure has been described in detail above in conjunction with FIG. 3 , so it will not be repeated here.

计费模块404用于依据业务流的类型，对业务流进行计费，例如但不限于，对弹性流进行流量计费，对稳定流进行内容计费。Thecharging module 404 is configured to charge the service flow according to the type of the service flow, for example, but not limited to, flow charging for the elastic flow, and content charging for the stable flow.

以上所述仅为本发明的较佳实施例而已，并不用以限制本发明，凡在本发明的精神和原则之内所作的任何修改、等同替换和改进等，均应包含在本发明的保护范围之内。The above descriptions are only preferred embodiments of the present invention, and are not intended to limit the present invention. Any modifications, equivalent replacements and improvements made within the spirit and principles of the present invention should be included in the protection of the present invention. within range.

Claims (8)

1. a Business Stream recognition methods is used for the identification services stream type, it is characterized in that, comprises the steps:

A plurality of transmission features of S1, the described Business Stream of collection, described a plurality of transmission features comprise: time delay, shake, packet loss and bandwidth;

S2, for each transmission feature, read its characteristic of correspondence weight according to the type of this transmission feature, to calculate the contribution margin of this transmission feature;

The contribution margin sum of S3, a plurality of transmission features of calculating, identification services stream type in view of the above;

Wherein, the pass between described contribution margin sum and described each transmission feature is:

y＝β₀+β₁x₁+β₂x₂+β₃x₃+β₄x₄

Y represents described contribution margin sum, x₁～x₄Represent time delay, shake, packet loss, the bandwidth that collects, β respectively₁～β₄Represent time delay, shake, packet loss, the pairing feature weight of bandwidth respectively, β₀Expression other all transmission features except that above-mentioned four transmission features are to the influence of described contribution margin sum.

2. Business Stream recognition methods according to claim 1 is characterized in that, the type of affiliated Business Stream be following type one of them:

Elastomeric flow;

Stable flow.

3. Business Stream recognition methods according to claim 2 is characterized in that, described step S3 further comprises: if the contribution margin sum of described a plurality of transmission features is greater than predefined threshold value, then this Business Stream is stable flow; Otherwise this Business Stream is an elastomeric flow.

4. a Business Stream charging method is used for Business Stream is chargeed, and comprises the steps:

A1, identification services stream type;

A2, it is chargeed according to traffic flow types,

It is characterized in that described steps A 1 further comprises:

A plurality of transmission features of S1, the described Business Stream of collection, described a plurality of transmission features comprise: time delay, shake, packet loss and bandwidth;

S2, for each transmission feature, read its characteristic of correspondence weight according to the type of this transmission feature, to calculate the contribution margin of this transmission feature;

The contribution margin sum of S3, a plurality of transmission features of calculating, identification services stream type in view of the above;

Wherein, the pass between described contribution margin sum and described each transmission feature is:

y＝β₀+β₁x₁+β₂x₂+β₃x₃+β₄x₄

Y represents described contribution margin sum, x₁～x₄Represent time delay, shake, packet loss, the bandwidth that collects, β respectively₁～β₄Represent time delay, shake, packet loss, the pairing feature weight of bandwidth respectively, β₀Expression other all transmission features except that above-mentioned four transmission features are to the influence of described contribution margin sum.

5. a Business Stream recognition system is used for the identification services stream type, it is characterized in that, comprising:

Acquisition module is used to gather a plurality of transmission features of described Business Stream, and described a plurality of transmission features comprise: time delay, shake, packet loss and bandwidth;

The contribution margin computing module communicates to connect with acquisition module, is used for for each transmission feature, reads its characteristic of correspondence weight according to the type of this transmission feature, to calculate the contribution margin of this transmission feature;

Judge module communicates to connect with the contribution margin computing module, is used to calculate the contribution margin sum of a plurality of transmission features, judges traffic flow types in view of the above;

Wherein, the pass between described contribution margin sum and described each transmission feature is:

y＝β₀+β₁x₁+β₂x₂+β₃x₃+β₄x₄

Y represents described contribution margin sum, x₁～x₄The transmission feature that representative collects is respectively time delay, shake, packet loss, bandwidth, β₁～β₄Represent time delay, shake, packet loss, the pairing feature weight of bandwidth respectively, β₀Expression other all transmission features except that above-mentioned four transmission features are to the influence of described contribution margin sum.

6. Business Stream recognition system according to claim 5 is characterized in that, the type of described Business Stream be following type one of them:

Elastomeric flow;

Stable flow.

7. Business Stream recognition system according to claim 6, it is characterized in that, described judge module is used for the contribution margin of described a plurality of transmission features and predefined threshold value are compared, if the contribution margin sum of described a plurality of transmission features judges then that greater than the threshold value of predetermined set this Business Stream is stable flow; Otherwise, judge that this Business Stream is an elastomeric flow.

8. a Business Stream charge system is used for Business Stream is chargeed, and it is characterized in that, comprising:

Identification module is used for the identification services stream type;

Accounting module communicates to connect with identification module, is used for it being chargeed according to traffic flow types,

It is characterized in that: described identification module further comprises:

Acquisition module is used to gather a plurality of transmission features of described Business Stream, and described a plurality of transmission features comprise: time delay, shake, packet loss and bandwidth;

The contribution margin computing module communicates to connect with acquisition module, is used for for each transmission feature, reads its characteristic of correspondence weight according to the type of this transmission feature, to calculate the contribution margin of this transmission feature;

Judge module communicates to connect with the contribution margin computing module, is used to calculate the contribution margin sum of a plurality of transmission features, judges traffic flow types in view of the above;

Wherein, the pass between described contribution margin sum and described each transmission feature is:

y＝β₀+β₁x₁+β₂x₂+β₃x₃+β₄x₄

Y represents described contribution margin sum, x₁～x₄Represent time delay, shake, packet loss, the bandwidth that collects, β respectively₁～β₄Represent time delay, shake, packet loss, the pairing feature weight of bandwidth respectively, β₀Expression other all transmission features except that above-mentioned four transmission features are to the influence of described contribution margin sum.

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