The demand for data center bandwidth has exploded due to the continuous development of cloud computing, causing the use of network resources close to saturation. Optical network has become an encouraging technology for many burgeoning networks and parallel/distributed computing applications because of its huge bandwidth. This article focuses on efficient embedding of data centers into optical networks, which aims to reduce complexity of the network topology by using the parallel transmission characteristics of optical fiber. We first present a novel virtual network embedding (VNE) mathematical model used for optical data center networks. Then we derive a priority of location VNE algorithm according to node proximity sensing and path comprehensive evaluation. Furthermore, we propose routing and wavelength assignment for DCNs into optical networks, and identify the lower bound of the required number of wavelengths. Extensive evaluations show that the proposed embedding algorithm can reduce the average waiting time of virtual network requests by 20 percent, increase the request acceptance rate and revenue-overhead ratio by 13 percent, as compared to the latest VNE algorithm.

中文翻译：

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将基于云的数据中心网络有效地虚拟网络嵌入到光网络中

由于云计算的不断发展，对数据中心带宽的需求激增，导致对网络资源的使用接近饱和。由于其巨大的带宽，光网络已成为许多新兴网络和并行/分布式计算应用程序中令人鼓舞的技术。本文关注于将数据中心有效地嵌入到光网络中，其目的是通过利用光纤的并行传输特性来降低网络拓扑的复杂性。我们首先提出一种用于光学数据中心网络的新型虚拟网络嵌入（VNE）数学模型。然后根据节点邻近感知和路径综合评估，推导了位置VNE算法的优先级。此外，我们建议将DCN路由和波长分配到光网络中，并确定所需波长的下限。广泛的评估表明，与最新的VNE算法相比，所提出的嵌入算法可以将虚拟网络请求的平均等待时间减少20％，将请求接受率和收益开销比率提高13％。