Method for self similar cluster packet of large file service light transmission

A self-similar, business optical technology, applied in transmission systems, digital transmission systems, electrical components, etc.

Inactive Publication Date: 2009-09-02
PEKING UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

At present, there is no effective solution for the transmission of large file services on optical networks.

Method used

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  • Method for self similar cluster packet of large file service light transmission
  • Method for self similar cluster packet of large file service light transmission
  • Method for self similar cluster packet of large file service light transmission

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Embodiment Construction

[0047] In order to describe the content of the present invention more clearly, the present invention is further described below through specific examples, but this does not constitute a limitation to the present invention.

[0048] refer to Image 6 , the specific steps of this embodiment are as follows:

[0049] 1) Determining the business source: It is divided into two parts: obtaining business service level and mathematical model parameters and obtaining business self-similar features. In this embodiment, the packet length of the service source obeys the self-similar heavy-tailed distribution, and the packet arrival time interval obeys the negative exponential distribution.

[0050] Wherein, the position parameter k=60,000,000 of the self-similar heavy-tailed distribution; shape parameter α=1.4; the mean value mean of the time interval obeying the negative exponential distribution is 7ms (the mean value of the negative exponential distribution is used as the time threshold...

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Abstract

A self-similar grouping method for optical transmission of large file services, characterized in that, based on the time interval at which data packets arrive at network edge nodes and / or whether the packet length obeys self-similar distribution, the aggregated data packets It is divided into CLUSTER packets and NON-CLUSTER packets, which are sent in different sending buffers. The present invention starts from the mathematical model that the streaming media service itself obeys, and combines the future development trend of the optical network, and fully considers the CLUSTER and NON-CLUSTER convergence methods under the condition that the service arrives at the edge nodes of the network and respectively obeys three self-similar mathematical models. Make full use of the characteristics of streaming media, HDTV, Grid grid applications and other business large file transfers, gather a large number of business flows that visit the same pair of network entry and exit nodes in a short period of time into CLUSTER, and separate large data packets It is regarded as a CLUSTER, and the time threshold is adopted to meet the requirements of the business on transmission delay, thereby greatly reducing the reconstruction rate of network resources and greatly reducing network operating expenses.

Description

technical field [0001] The invention belongs to the field of electronic communication, and relates to a data transmission method, especially a method suitable for transmitting large file services such as streaming media, high-definition digital television (HDTV), interactive multimedia, and Grid application grids in the field of high-speed optical communication Self-similar clustering (CLUSTER) grouping method. Background technique [0002] Since 1999, the volume of data transmission traffic on the Internet has exceeded the volume of voice traffic transmitted. Now data transmission is increasing at a rate of 100% per year while the growth rate of voice services is less than 10% per year. Therefore, the business characteristics of network transmission have changed from voice-based to data-based, and the transmission load reflects the self-similarity of burst packets at any time scale. Based on the above facts, in-depth research and understanding of the characteristics of se...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/56H04L12/00H04J14/02H04L47/43
Inventor 李维黄安鹏谢麟振李正斌徐安士
Owner PEKING UNIV
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