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ECN based congestion control method with prediction verification

A technology of congestion control and prediction value, which is applied in the field of Internet congestion control and can solve problems such as congestion

Inactive Publication Date: 2004-11-10
TSINGHUA UNIV
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  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Obviously, if the connection sends too many extra packets, it will cause congestion

Method used

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  • ECN based congestion control method with prediction verification
  • ECN based congestion control method with prediction verification
  • ECN based congestion control method with prediction verification

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0059] we are at figure 1 The FAV algorithm is used to achieve effective congestion control. Among them, the source PC is used as a server, running realServer 8.01 to provide streaming media services, and the destination PC is used as a client, accessing streaming media files on the source PC, and using RealPlayer 8.0 Plus to observe the image transmission results, so as to compare the impact of congestion control algorithms on transmission performance Impact. The device configuration used in the implementation is as follows:

[0060] PC configuration of source and target:

[0061] motherboard intel D845

[0062] Memory 256DDR

[0063] Graphics card Geforce2MX400

[0064] HDD WestJet 80G

[0065] network card realtek 8139

[0066] Router: It can be any model that supports ECN. We choose Cisco2600. The routers in the network can be interconnected according to different topologies.

[0067] The method of the present invention is specifically composed of the following ste...

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Abstract

The invention is an ECN-based forecasting and verifying congestion control method, firstly using the difference between two adjacent packets to calculate forecast parameters of a current packet, by this recurring to the corresponding forecast queue length of, and able to refer to the congestion conditions of nodes to correct the forecast length as a common forecast threshold value for all the packets; taking 2 x the first packet delay as signal transmitting time and all the packets as forecast packets in order to find a forecast value of average queue length of all the packets, a receiving end compares the difference between the forecast value and the forecast threshold value with predicted floating value of the forecast value, so as to be able to send a confirm packet increasing, decreasing or keeping the length of congestion window to the source end, convenient for the source end to regulate the packet transmitting speed. This receiving end driving method has the advantage of reducing loss rate and average packet delay at the same time, has stale and higher network utilization ratio and can also forecast the network's congestion conditions.

Description

technical field [0001] An ECN-based congestion control method with prediction verification belongs to the technical field of Internet congestion control. Background technique [0002] The algorithm in the present invention is a congestion control and avoidance algorithm used in the Internet, which belongs to the source algorithm based on the "pipe" model. Congestion control is an important issue in the current Internet. According to the implementation position of the algorithm, the congestion control algorithm can be divided into two categories: link algorithm and source algorithm. The link algorithm is executed in network devices (such as routers and switches), and its function is to detect the occurrence of network congestion and generate congestion feedback information; the source algorithm is executed in hosts and network edge devices, and its function is to adjust the sending rate according to the feedback information. [0003] There are generally the following types ...

Claims

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Application Information

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IPC IPC(8): H04L29/02H04L29/06
Inventor 徐恪刘惠山徐明伟吴建平
Owner TSINGHUA UNIV
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