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Joint defragmentation of optical spectrum and IT resources in elastic optical datacenter interconnections

机译:弹性光学数据中心互连中光谱和IT资源的联合碎片整理

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摘要

With its agile spectrum management in the optical layer, the flexible-grid elastic optical network can become a promising physical infrastructure to efficiently support the highly dynamic traffic in future datacenter interconnections (DCIs). While the resulting elastic optical DCIs (EO-DCIs) need to serve requests that not only require bandwidth resources on fiber links but also require multidimensional IT resources in the DCs, multidimensional resource fragmentation can occur during dynamic network operations and deteriorate the network performance. To address this issue, this paper investigates the problem of joint defragmentation (DF) for the spectrum and IT resources in EO-DCIs. Specifically, we reoptimize the allocations of multidimensional resources jointly with complexity-controlled network reconfigurations. For the DFoperation, we first study the request selection process and propose a joint selection strategy that can perform the spectrum- and IT-oriented selections adaptively according to the network status. Then, we formulate a mixed integer linear programming model and design several heuristics to tackle the problem of network reconfiguration in the joint DF. The proposed algorithms are evaluated with extensive simulations. Simulation results demonstrate that the proposed joint DF algorithms can significantly reduce the blocking probability in EO-DCIs by consolidating the spectrum and IT resource usages effectively.
机译:凭借其在光层中的敏捷频谱管理,柔性网格弹性光网络可以成为有前途的物理基础架构,以有效地支持未来数据中心互连(DCI)中的高动态流量。虽然最终的弹性光学DCI(EO-DCI)需要满足不仅要求光纤链路上的带宽资源而且还要求DC中的多维IT资源的请求,但是在动态网络操作期间可能发生多维资源碎片化,并降低了网络性能。为了解决这个问题,本文研究了EO-DCI中频谱和IT资源的联合碎片整理(DF)问题。具体来说,我们结合复杂度控制的网络重新配置来重新优化多维资源的分配。对于DF操作,我们首先研究请求选择过程,并提出一种联合选择策略,该策略可以根据网络状态自适应地执行针对频谱和IT的选择。然后,我们制定了一个混合整数线性规划模型,并设计了几种启发式方法来解决联合DF中的网络重新配置问题。所提出的算法通过广泛的仿真进行评估。仿真结果表明,所提出的联合DF算法可以有效地合并频谱和IT资源的使用,从而大大降低EO-DCI中的阻塞概率。

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