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  4. Performance Analysis of Optical Packet Switches Handling Markovian Fitted Self-Similar Traffic with Variable Packet Length
 
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Performance Analysis of Optical Packet Switches Handling Markovian Fitted Self-Similar Traffic with Variable Packet Length

Date Issued
2007
Date
2007
Author(s)
Chen, Chung-Shuan
DOI
en-US
URI
http://ntur.lib.ntu.edu.tw//handle/246246/58709
Abstract
In recent years, telecommunication networks are experiencing a vital evolution, and it follows a dramatic increase in demand of network capacity. To satisfy the rapidly increasing demand for Internet bandwidth, the optical packet switching (OPS) technologies incorporating with wavelength division multiplexing (WDM) may play a significant role in the future. The contention resolution problem for the OPS is an important issue. The voids generated by fiber delay lines (FDLs), which are used as the optical buffer, would degrade the system performance. On the other hand, several studies have proved that Internet traffic possesses self-similar property, which is long-range dependent, and it can be fitted by Markovian process, such as Markov-modulated Poisson process (MMPP). The performance of the OPS systems without and with WDM technologies is investigated by simulation. We model these two systems by the single server queueing system and the multi-queue multi-server queueing system, respectively. In the multi-queue multiserver system, the Join-the-Shortest-Queue (JSQ) policy is adopted. We analyze the loss behavior through simulation. The behavior of the delay line unit (DLU) dimensioning is also explored in both systems, because it is important to find the appropriate DLU length to achieve the optimal loss. Several parameters which will influence the optimal value of DLU length are considered. The simulation results are useful for the design of FDLs in asynchronous OPS buffering systems with variable packet length.
Subjects
光纖延遲線
自我相似
馬可夫程序
加入最短等候列
可變長度封包
fiber delay line
self-similar
MMPP
join-the-shortest-queue
variable packet length
Type
thesis
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