CN102857384A - P2P (peer-to-peer) traffic statistical method based on time sliding window - Google Patents

Abstract

The invention relates to a computer traffic statistical method, in particular to a P2P (peer-to-peer) traffic statistical method based on a time sliding window. The method includes the steps of P2P traffic characteristics statistics, P2P traffic statistical characteristics verification and modification, P2P traffic statistics quantification and P2P traffic statistics based on the time sliding window. By the method, deviations on the P2P traffic statistics due to 'jitter' of P2P traffic statistical characteristics quantification results are effectively avoided.

Description

The P2P flow statistical method of time-based sliding window

Technical field

The present invention relates to the method for computer traffic statistics, relate in particular to the P2P flow statistical method of time-based sliding window.

Background technology

The P2P technology is a kind of peer-to-peer, and the status of each node is reciprocity in the P2P network, be server end be again client, each node is also providing service for other node when enjoying the service that other node provides.

Since the P2P technology take full advantage of node calculating, the ability such as share, thereby there is great advantage in it in aspect such as autgmentability, construction cost again.In recent years, the various internet, applications development based on the P2P technology such as file-sharing, Streaming Media are swift and violent, the P2P downloading flow has occupied more than 70% of Global Internet total data flow, the P2P technology has become the important media delivery technology of broadband internet, many P2P Video Applications websites of realizing based on the P2P technology also occurred on the internet.

Because P2P uses and infinitely to occupy the broadband, causes the inter-network flow to spread unchecked, therefore the P2P flow occupies important role in the development of existing internet, has a very big significance so the P2P flow added up accurately.

Summary of the invention

The present invention has invented a kind of method of P2P traffic statistics of time-based sliding window, comprises following steps:

The statistic procedure of P2P discharge characteristic is analyzed the Principle of Communication between the P2P network node, and extracts the statistical nature of P2P flow according to the similarities and differences of Principle of Communication between Principle of Communication between the P2P node and the traditional C/S network node;

Step is verified and revised to P2P traffic statistics characteristic, P2P traffic statistics characteristic is verified and revised according to multiple different P2P software flow and traditional C/S flow;

Quantization step is carried out in the P2P traffic statistics, continuous P2P traffic statistics information is converted into discrete point;

The P2P traffic statistics step of time-based sliding window is finished statistics to the P2P flow with the method for time-based sliding window.

The time-based sliding window of the present invention invention is finished the deviation to the P2P traffic statistics that the method for P2P traffic statistics has effectively avoided " shake " phenomenon of P2P traffic statistics characteristic quantized result to cause.

Description of drawings

Fig. 1 is the flow chart of the P2P flow statistical method of time-based sliding window of the present invention.

Embodiment

The present invention invented a kind of time-based sliding window the P2P traffic statistics method flow chart of steps as shown in Figure 1, comprise following steps:

The statistic procedure of P2P discharge characteristic is analyzed the Principle of Communication between the P2P network node, and extracts the statistical nature of P2P flow according to the similarities and differences of Principle of Communication between Principle of Communication between the P2P node and the traditional C/S network node;

Step is verified and revised to P2P traffic statistics characteristic, P2P traffic statistics characteristic is verified and revised according to multiple different P2P software flow and traditional C/S flow;

Quantization step is carried out in the P2P traffic statistics, continuous P2P traffic statistics information is converted into discrete point;

The P2P traffic statistics step of time-based sliding window, the research sliding window mechanism is finished statistics to the P2P flow with the method for time-based sliding window.

Claims (1)

1. the method for the P2P traffic statistics of a time-based sliding window is characterized in that, comprises following steps:

The statistic procedure of P2P discharge characteristic is analyzed the Principle of Communication between the P2P network node, and extracts the statistical nature of P2P flow according to the similarities and differences of Principle of Communication between Principle of Communication between the P2P node and the traditional C/S network node;

Step is verified and revised to P2P traffic statistics characteristic, P2P traffic statistics characteristic is verified and revised according to multiple different P2P software flow and traditional C/S flow;

Quantization step is carried out in the P2P traffic statistics, continuous P2P traffic statistics information is converted into discrete point;

The P2P traffic statistics step of time-based sliding window is finished statistics to the P2P flow with the method for time-based sliding window.

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