Dynamic adaptation burst assembling method

A technology of dynamic self-adaptation and assembly method, applied in the direction of digital transmission system, electrical components, transmission system, etc., can solve the problems of deterioration of network throughput performance, inability to adjust and automatically adapt to network changes, increase assembly delay, etc., to achieve reduction Effect of Assembly Latency and Overhead

Inactive Publication Date: 2005-03-02
SHANGHAI JIAO TONG UNIV
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Problems solved by technology

[0004] Existing burst assembly methods (X.Yu, Y.Chen, and C.Qiao, A Study of traffic statistics of assembled burst traffic in optical burst switched networks , Proceedings, Optical Networking and Communication Conference (OptiComm) 2002, Boston, MA, July-Aug 2002) continue to use the traditional Poisson arrival interval distribution traffic pattern under circuit switching, and still use the traditional time-based And the centralized mechanism of packet length, the offset time and the centralized threshold are only in the network traffic simulation research in the corresponding large time range of microseconds and milliseconds. The superposition of the two brings additional assembly delay, which is This traffic concentration mode with a fixed time range and packet length has a good ability to assemble voice services, but it lacks adaptability to the suddenness,

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Embodiment Construction

[0022] figure 1 The block diagram of the assembly method of the present invention is provided in detail, the first packet of the current centralized queue arrives at the trigger control packet, and the error information e(n)=l(n) is calculated by using the packet length L(n) of the previous prediction period within the prediction time -L(n), the previous p packet length l(n-I) of the packet length memory module, I=0, 1,...p and the current flow l(n+1) that have arrived this time, in the adaptive The burst length L(n+1) of the current queue is estimated in the autoregressive AAR filter, and the packet length L(n+1) determined by the traffic forecast is passed to the concentration time estimation module, which estimates according to the relationship between the latest packet length and concentration time Load, and then dynamically adjust the assembly time of the port and the centralized queue of the business class by the dynamic adjustment assembly time module according to the e...

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Abstract

A dynamic adaptive burst assembling method is to utilize an one-step auto-regression linear adaptive random process estimation model and adopt an orthonormalization minimum mean square deviation predict method to estimate network flow property on line timely an dynamically adjust burst assembling time by estimating the packet length. With the predict time, it combines this time flow weight and one step p stage estimation model and its maximum burst assembling time is dynamically determined by estimating its packet length and the latest load to deliver the control packet before finishing the burst assemble.

Description

technical field [0001] The invention relates to an optical network-based assembly method, in particular to a dynamic self-adaptive burst assembly method based on the real-time characteristics of optical network edge access services. Used in the field of optical communication technology. Background technique [0002] Optical Burst Switching (OBS) network has become one of the research hotspots in the field of optical communication. An OBS network is composed of several edge routers and core routers. The edge router is responsible for completing the interface with the traditional network and assembling traditional electronic packets into bursts. It is the basic transmission and switching unit in the OBS domain. OBS is a one-way resource reservation scheme. The edge router creates a control packet for each burst and sends it out at an offset time before the burst. The core router electronically processes it to configure the optical switch matrix. OBS can realize transparent ...

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Application Information

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IPC IPC(8): H04L47/43
Inventor 隋志成曾庆济肖石林
Owner SHANGHAI JIAO TONG UNIV
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