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Revenue-oriented bandwidth allocation in optical OFDM intra data center networks

机译:光学OFDM内部数据中心网络中面向收入的带宽分配

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Optical orthogonal frequency division multiplexing (O-OFDM) technology, which divides fiber bandwidth into multiple OFDM subcarriers, enables high bandwidth and fine granularity intra data center networks (DCNs) to provide powerful platform for cloud computing. An important issue raised in such O-OFDM based intra-DCNs is how to assign contiguous subcarriers for connection requests with the aim to balance the revenue of cloud providers with the connection performance of tenants. In this paper, considering the limited bandwidth, we firstly propose a revenue model that introduces a penalty policy for assuring connection performance according to the reservation price paid by tenants. We then study revenue-oriented bandwidth allocation problem over O-OFDM intra-DCNs based on the proposed revenue model. For a special case that there is no background traffic while conducting bandwidth allocation, we show that the problem can be transformed into a minimum cost network flow problem. For the case that extremely strict penalty is regulated, we design a two-phase algorithm to solve the problem. An efficient heuristic algorithm is also proposed to settle the problem with general form. The efficiency of the work is finally demonstrated by simulations.
机译:光学正交频分复用(O-OFDM)技术将光纤带宽划分为多个OFDM子载波,使高带宽和精细粒度的内部数据中心网络(DCN)能够为云计算提供强大的平台。在这种基于O-OFDM的内部DCN中提出的重要问题是如何为连接请求分配连续的子载波,以平衡云提供商的收入与租户的连接性能。在本文中,考虑到有限的带宽,我们首先提出一种收益模型,该模型引入了一种惩罚策略,以根据租户支付的预留价格来确保连接性能。然后,基于提出的收益模型,我们研究了基于O-OFDM的内部DCN的收益导向型带宽分配问题。对于在进行带宽分配时没有后台流量的特殊情况,我们表明该问题可以转化为最低成本的网络流量问题。对于规定了极其严格的惩罚的情况,我们设计了一个两阶段算法来解决该问题。还提出了一种有效的启发式算法来解决一般形式的问题。最后通过仿真证明了工作的效率。

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