A Joint Batch-Routing and Channel Assignment Approach in Hybrid Data Center Networks

Boutheina Dab, Ilhem Fajjari, N. Aitsaadi
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Abstract

Data centers are dealing with a rich panoply of applications which are distributed across thousands of servers. In this context, Cloud providers seek to maximize their revenue by meeting the tremendous traffic demand. Unfortunately, the conventional wired infrastructures struggle to resist to such a traffic explosion and new innovative techniques are required. In this respect, we put forward a Hybrid Data Center Network architecture based on the CISCO's Massively Scalable Data Center model, that leverages both the wired (Fiber/Ethernet) and wireless (IEEE 802.11ad) infrastructures. In this paper, we address the problem of batch-routing jointly to spectrum allocation of intra-data center communication flows. To do so, first, we formulate the problem based on Multi-Commodity Flow problem while considering interference constraints. Then, we propose a new strategy named Joint Batch Routing and Channel assignment approach in HDCN (BR-HDCN). Based on extensive simulations conducted in QualNet simulator while considering the full protocol stack, the obtained results for both: i) real Facebook's DC, and ii) uniform, traces, show that our proposal outperforms the related prominent strategies.
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混合数据中心网络中一种联合批路由和信道分配方法
数据中心正在处理分布在数千台服务器上的大量应用程序。在这种情况下,云提供商寻求通过满足巨大的流量需求来实现收入最大化。不幸的是,传统的有线基础设施难以抵御这种流量爆炸,需要新的创新技术。在这方面,我们提出了一种基于思科大规模可扩展数据中心模型的混合数据中心网络架构,它利用了有线(光纤/以太网)和无线(IEEE 802.11ad)基础设施。本文研究了数据中心内部通信流频谱分配中的批路由问题。为此,我们首先在考虑干扰约束的情况下,在多商品流问题的基础上提出了该问题。然后,我们提出了一种新的HDCN联合批处理路由和信道分配方法(BR-HDCN)。基于在QualNet模拟器中进行的大量模拟,同时考虑到完整的协议栈,获得的结果表明:i)真实的Facebook DC和ii)统一的痕迹,我们的提议优于相关的突出策略。
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