CN102868632A - P2P (peer-to-peer) traffic identification and monitoring system based on multi-dimensional vector machine - Google Patents
P2P (peer-to-peer) traffic identification and monitoring system based on multi-dimensional vector machine Download PDFInfo
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Abstract
The invention discloses a P2P (peer-to-peer) traffic identification and monitoring system based on a multi-dimensional vector machine, and relates to the field of P2P traffic identification and monitoring. The system comprises a P2P traffic identification module based on an SVM (support vector machine), a P2P traffic monitoring administration module based on the SVM and a traffic control module. The system can provide a fine man-machine interaction interface, helps a network administrator to more effectively know and administrate network resources, adjusts a corresponding P2P traffic identification mode and a P2P traffic control mode according to an administration strategy, can also provide backup cache for hot files, and releases traffic pressure of a key link.
Description
Technical field
The present invention relates to the identification of P2P flow and supervisory control system, relate in particular to the identification of P2P flow and supervisory control system based on the multi-C vector machine.
Background technology
Along with the development of network, P2P network technology of new generation is widely used.The P2P of current popular uses and mainly comprises file-sharing, P2P streaming media video and instant messaging etc.In the time of P2P technology development, various P2P use the network traffic data that produces and have surpassed traditional Network, HTTP and FTP account for more than 80% of whole Internet flow, become the maximum consumer of the network bandwidth, bring white elephant to network, brought huge challenge also for each the large management P2P of operator flow.The Internet massive band width is used by P2P and is occupied, service quality to other application has formed threat, has also damaged Internet Service Provider's interests, for the operation that guarantees that network is can be normally orderly, be necessary the P2P network traffics are identified and monitored, improve the performance of network service.
Summary of the invention
The identification of P2P flow and the supervisory control system based on the multi-C vector machine of the present invention's invention, comprise with lower module: based on the P2P flow identification module of SVM, be used for finishing separation identification by the control of strategy controller, this module comprises protocal analysis layer, flow identification layer and IP feedback layer, described protocal analysis layer is used for the analysis to each layer protocol, and the protocol analysis to TCP/IP is provided; Described flow identification layer is used for providing the function of comprehensive flow identification by the service traffics identification engine based on statistical property and multi-C vector machine; Described IP feedback layer is used for depositing IP address and the corresponding agreement of the P2P flow that has identified;
P2P traffic monitoring administration module based on SVM, being used for offering help, network manager is understood and the man-machine interaction page of network resource administration, simultaneously according to management strategy adjustment corresponding P2P flow RM and P2P flow control mode, this module comprises monitor, taximeter and strategy controller, and described monitor is used for being responsible for providing flow monitoring data and form; Described taximeter is used for being responsible for control and processes charge information; Described strategy controller is used for being responsible for formulation and the change of flow control strategy;
Flow-control module, be used for being responsible for the execution of P2P flow control strategy and be responsible for collecting flow use information, this information of buffer memory also is reported to P2P traffic monitoring administration module based on SVM, and this module comprises the content caching device, is used for providing content-based network cache function.
This system can effectively realize identification and the monitoring to the P2P flow.
Description of drawings
Fig. 1 be the present invention invent based on the system construction drawing of the P2P flow of multi-C vector machine identification with supervisory control system.
Embodiment
The identification of P2P flow and the supervisory control system based on the multi-C vector machine of the present invention's invention, comprise with lower module: based on the P2P flow identification module of SVM, be used for finishing separation identification by the control of strategy controller, this module comprises protocal analysis layer, flow identification layer and IP feedback layer;
Described protocal analysis layer is used for the analysis to each layer protocol, and the protocol analysis to TCP/IP is provided;
Described flow identification layer is used for providing the function of comprehensive flow identification by the service traffics identification engine based on statistical property and multi-C vector machine;
Described IP feedback layer is used for depositing IP address and the corresponding agreement of the P2P flow that has identified.
P2P traffic monitoring administration module based on SVM, being used for offering help, network manager is understood and the man-machine interaction page of network resource administration, according to management strategy adjustment corresponding P2P flow RM and P2P flow control mode, this module comprises monitor, taximeter and strategy controller simultaneously;
Described monitor is used for being responsible for providing flow monitoring data and form, comprise that the real-time demonstration of bandwidth behaviour in service, the statistics of long-term measurement data show, auxiliary webmaster personnel are the awareness network behaviour in service clearly, for tactical management provides foundation and effect examination;
Described taximeter be used for to be responsible for control and to be processed charge information, comprises the functions such as customization, charging bill of charge mode, and these parts are specified the management strategy based on charging for strategy controller foundation is provided;
Described strategy controller is used for being responsible for formulation and the change of flow control strategy, it is responsible for defining the mode of P2P flow identification, select the flow control means, and make corresponding P2P flow control strategy according to loan laws of use and Freight Basis, it can provide good strategy to adjust the interface, and auxiliary gateway personnel customize out flexibly management strategy fast.
Flow-control module, be used for being responsible for the execution of P2P flow control strategy and be responsible for collecting flow use information, this information of buffer memory also is reported to P2P traffic monitoring administration module based on SVM, and this module comprises content caching device, sealer and traffic shaper;
Described content caching device is used for providing content-based network cache function., the content caching device provides the backup buffer memory for the focus file of outer net simultaneously, and backup file can offer local network and download, and these parts can be alleviated the flow pressure of crucial link;
The described sealing phase is used for providing the sealing strategy;
Described traffic shaper is used for providing the bandwidth threshold strategy, based on the traffic management of period, based on the traffic management of charging and the protection strategy is provided.
This system can provide good human-computer interaction interface, help network manager to understand better and network resource administration, simultaneously according to management strategy adjustment corresponding P2P flow RM and P2P flow control mode, also can for the focus file provides the backup buffer memory, alleviate the flow pressure of crucial link.
Claims (1)
1. identify and supervisory control system based on the P2P flow of multi-C vector machine, it is characterized in that, comprise with lower module: based on the P2P flow identification module of SVM, be used for finishing separation identification by the control of strategy controller, this module comprises protocal analysis layer, flow identification layer and IP feedback layer, described protocal analysis layer is used for the analysis to each layer protocol, and the protocol analysis to TCP/IP is provided; Described flow identification layer is used for providing the function of comprehensive flow identification by the service traffics identification engine based on statistical property and multi-C vector machine; Described IP feedback layer is used for depositing IP address and the corresponding agreement of the P2P flow that has identified;
P2P traffic monitoring administration module based on SVM, being used for offering help, network manager is understood and the man-machine interaction page of network resource administration, simultaneously according to management strategy adjustment corresponding P2P flow RM and P2P flow control mode, this module comprises monitor, taximeter and strategy controller, and described monitor is used for being responsible for providing flow monitoring data and form; Described taximeter is used for being responsible for control and processes charge information; Described strategy controller is used for being responsible for formulation and the change of flow control strategy;
Flow-control module; be used for being responsible for the execution of P2P flow control strategy and be responsible for collecting flow use information; this information of buffer memory also is reported to P2P traffic monitoring administration module based on SVM; this module comprises content caching device, sealer and traffic shaper; described content caching device is used for providing content-based network cache function; described sealer is used for providing the sealing strategy, and described traffic shaper is used for providing the bandwidth threshold strategy, based on the traffic management of period, based on the traffic management of charging and the protection strategy is provided.
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Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103441905A (en) * | 2013-09-22 | 2013-12-11 | 天津金栅科技有限公司 | Network traffic monitoring system |
CN104348741A (en) * | 2013-08-06 | 2015-02-11 | 南京理工大学常熟研究院有限公司 | Method and system for detecting P2P (peer-to-peer) traffic based on multi-dimensional analysis and decision tree |
CN104917642A (en) * | 2014-03-11 | 2015-09-16 | 深圳业拓讯通信科技有限公司 | Port mirror image data transmitting method and system |
CN113010474A (en) * | 2021-03-16 | 2021-06-22 | 中国联合网络通信集团有限公司 | File management method, instant messaging method and storage server |
Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7058712B1 (en) * | 2002-06-04 | 2006-06-06 | Rockwell Automation Technologies, Inc. | System and methodology providing flexible and distributed processing in an industrial controller environment |
CN101345704A (en) * | 2008-08-15 | 2009-01-14 | 南京邮电大学 | Equity network flux detection method based on supporting vector machine |
-
2011
- 2011-07-05 CN CN201110186117XA patent/CN102868632A/en active Pending
Patent Citations (2)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US7058712B1 (en) * | 2002-06-04 | 2006-06-06 | Rockwell Automation Technologies, Inc. | System and methodology providing flexible and distributed processing in an industrial controller environment |
CN101345704A (en) * | 2008-08-15 | 2009-01-14 | 南京邮电大学 | Equity network flux detection method based on supporting vector machine |
Non-Patent Citations (3)
Title |
---|
吴敏等: ""基于方差分析和支持向量机技术的P2P流量检测"", 《计算机科学》, vol. 37, no. 8, 15 August 2010 (2010-08-15) * |
孙知信,张玉峰: ""基于多维支持向量机的P2P网络流量识别模型"", 《吉林大学学报(工学版)》, vol. 40, no. 5, 15 September 2010 (2010-09-15) * |
李君等: ""P2P业务流量识别、分析和控制研究"", 《计算机工程》, vol. 32, no. 11, 5 June 2006 (2006-06-05) * |
Cited By (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104348741A (en) * | 2013-08-06 | 2015-02-11 | 南京理工大学常熟研究院有限公司 | Method and system for detecting P2P (peer-to-peer) traffic based on multi-dimensional analysis and decision tree |
CN103441905A (en) * | 2013-09-22 | 2013-12-11 | 天津金栅科技有限公司 | Network traffic monitoring system |
CN104917642A (en) * | 2014-03-11 | 2015-09-16 | 深圳业拓讯通信科技有限公司 | Port mirror image data transmitting method and system |
CN104917642B (en) * | 2014-03-11 | 2019-03-22 | 深圳业拓讯通信科技有限公司 | A kind of Port Mirroring data transmission method and its system |
CN113010474A (en) * | 2021-03-16 | 2021-06-22 | 中国联合网络通信集团有限公司 | File management method, instant messaging method and storage server |
CN113010474B (en) * | 2021-03-16 | 2023-10-24 | 中国联合网络通信集团有限公司 | File management method, instant messaging method and storage server |
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