多业务开槽光分组交换城域网中的分组填充优化

T. Eido, D. Nguyen, T. Atmaca
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引用次数: 24

摘要

在过去的几年里,人们对光分组交换(OPS)网络的许多方面进行了研究,结果表明,它们的性能取决于几个决定性因素,如传输模式和光分组格式。与异步模式相比,同步槽模式产生更高的吞吐量,因此更适合城域网规范。在本文中,我们提出了一种优化机制,用于创建固定大小的光学有效载荷,其中填充了可变大小的电子客户端数据包。我们的算法被称为GPFO,用于分级分组填充优化。它避免了对复杂分割方法的需要。在丢包率和平均访问延迟方面,它还提供了高的网络吞吐量和良好的性能结果。对算法的性能进行了仿真研究。利用ns模拟器,我们在环形拓扑的光城域网上进行了实验。数值结果表明,与现有的解决方案相比,GPFO提高了网络吞吐量,并在排队延迟和丢比特率方面优化了网络的整体性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Packet Filling Optimization in Multiservice Slotted Optical Packet Switching MAN Networks
Many aspects about Optical Packet-Switching (OPS) networks have been studied in the last few years and it has been shown that their performance depends on several determinant factors, such as the transmission mode and the optical packet format A synchronous slotted mode is more adapted to MAN network specifications, since it produces higher throughput comparing to the asynchronous mode. In this paper, we propose an optimized mechanism for creation of fixed-size optical payloads filled with variable size electronic client packets. Our algorithm is called GPFO for graduated packet filling optimization. It avoids the need for complex segmentation methods. It also provides high network throughput and good performance results in terms of packet loss ratio and mean access delay. We investigated the performance of our algorithm throw simulation works. Using the ns simulator, our experiments are performed on an optical MAN network with a ring topology. Numerical results have shown that, compared to existing solutions, the GPFO enhances the network throughput and optimizes the global network performance in terms of queuing delay and bit loss ratio.
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