Traffic prediction based wavelength resource management considering holding time

Traffic prediction based wavelength resource management considering holding time
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DOI:
10.1109/ondm.2012.6210277
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发表时间:
2012-04
期刊:
2012 16th International Conference on Optical Network Design and Modelling (ONDM)
影响因子:
--
通讯作者:
Naohiro Wakabayashi;Y. Hirota;H. Tode;K. Murakami
Naohiro Wakabayashi;Y. Hirota;H. Tode;K. Murakami
中科院分区:
其他
文献类型:
--
作者:
Naohiro Wakabayashi;Y. Hirota;H. Tode;K. Murakami

文献摘要

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光波分复用网络是未来多媒体业务的理想网络。多媒体服务需要具有不同保持时间长度的稳定连接。虽然一些多媒体服务仅在几分钟内使用光路径连接,但其他多媒体服务在几个小时内使用它们。从网络的角度来看,连接建立的开销在短期连接的情况下有很大的影响。另一方面,长期连接占用分配的网络资源很长一段时间。因此,重要的是考虑保持时间来分配适当的波长。此外,网络流量很大,并且随时间快速变化。因此,准确估计当前交通状态并预测未来交通状态的方法变得更加重要。在本文中,我们提出了一种新的流量预测方法,可以处理大的变化,在光WDM网络中的业务。所提出的预测方法分为两类:“短期交通状态估计”和“长期交通趋势预测”。交通量预测是将这两种方法相互配合、相互补充的结果。我们还提出了一个波长分配方法,利用这种流量预测。所提出的波长分配方法设置光路考虑预测信息和连接的保持时间。根据业务量预测信息,动态地为具有不同保持时间的每个连接分配有限范围内的波长资源。我们通过计算机模拟评估所提出的方法的性能,并确认所提出的方法可以实现更好的性能比传统的方法。
Optical WDM networks are expected for future multimedia services. The multimedia services require stable connections with various length of holding time. While some multimedia services use optical path connections in only minute, other multimedia services use them in several hours. As network perspective, the overhead of connection setup has much influence in the case of short-term connections. On the other hand, longterm connections occupy assigned network resources for long periods. Thus, it is important to assign the appropriate wavelength considering the holding time. Furthermore, the network traffic is large and rapidly changes in time. Therefore, the method that accurately estimates the state of the current traffic and predicts the state of future traffic becomes more important. In this paper, we propose a novel traffic prediction method that can deal with large changes in traffic in optical WDM networks. The proposed prediction method is classified into two categories; “short-term traffic state estimation” and “longterm traffic trend prediction”. Traffic is predicted by using these two methods cooperatively and complementarily. We also propose a wavelength assignment method exploiting this traffic prediction. The proposed wavelength assignment method sets optical paths considering the prediction information and the holding time of connections. Each connection with different holding time is allocated wavelength resources in the limited range based on the traffic prediction information dynamically. We evaluate the performance of the proposed method by computer simulations and confirm that the proposed method can achieve better performance than the traditional method does.