MULE:多层虚拟网络嵌入

S. R. Chowdhury, Sara Ayoubi, Reaz Ahmed, Nashid Shahriar, R. Boutaba, J. Mitra, L. Liu
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引用次数: 5

摘要

网络虚拟化(NV)被认为是克服Internet骨化的关键推动者,它允许多个异构虚拟网络在同一基板网络上共存。在IP或光网络等单层基板上,NV中的资源分配问题已经得到了广泛的研究。然而,对于多层IP-over-Optical网络,很少有人致力于解决同样的问题。用于部署骨干网的多层网络日益流行,并结合了其独特的特性(例如,IP层的拓扑灵活性),因此需要仔细调查由其虚拟化引起的资源供应问题。本文研究了IP-overOptical网络上的多层虚拟网络嵌入(MULE)问题。我们提出了MULE的两种解决方案:用于最优解的整数线性规划(ILP)公式和用于解决最优解的计算复杂性的启发式公式。我们通过广泛的模拟证明,平均而言,我们的启发式算法在最优解的≈1.47 x内执行,并且比最先进的启发式算法节省≈66%的成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
MULE: Multi-layer virtual network embedding
Network Virtualization (NV), considered as a key enabler for overcoming the ossification of the Internet allows multiple heterogeneous virtual networks to co-exist over the same substrate network. Resource allocation problems in NV have been extensively studied for single layer substrates such as IP or Optical networks. However, little effort has been put to address the same problem for multi-layer IP-over-Optical networks. The increasing popularity of multi-layer networks for deploying backbones combined with their unique characteristics (e.g., topological flexibility of the IP layer) calls for the need to carefully investigate the resource provisioning problems arising from their virtualization. In this paper, we address the problem of MUlti-Layer virtual network Embedding (MULE) on IP-overOptical networks. We propose two solutions to MULE: an Integer Linear Program (ILP) formulation for the optimal solution and a heuristic to address the computational complexity of the optimal solution. We demonstrate through extensive simulations that on average our heuristic performs within ≈1.47 × of optimal solution and incurs ≈66% less cost than the state-of-the-art heuristic.
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