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A New Algorithm with Coordinated Node and Link Mapping for Virtual Network Embedding based on LP Relaxation

机译:基于LP松弛的协作节点与链路映射的虚拟网络嵌入新算法。

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Network virtualization can help diversify the Internet by supporting multiple virtual network (VN) architectures on a shared substrate. Making efficient use of the underlying substrate network resources requires effective algorithms for virtual network embedding (VNE) that maps each virtual network (VN) to specific nodes and links in the substrate network. In this paper, we formulate the VNE problem as a mixed integer linear program (MILP), and then propose a progressively greedy VNE algorithm (PG-VNE) which has three main improvements over previous approaches. 1) Adding constraints after we relax the MILP to obtain STRICT LP model which leads to better coordination between the node and link mapping stages, 2) Using the greedy idea to map virtual nodes and 3) Mapping virtual nodes progressively, i.e., mapping virtual nodes one by one. Simulation results show that PG-VNE algorithm realizes close coordination between node and link mapping stages and performs well in terms of revenue, cost and VN request acceptance ratio when compared with the well known D-ViNE and R-ViNE algorithms.
机译:网络虚拟化可以通过在共享基板上支持多种虚拟网络(VN)架构来帮助实现Internet的多样化。有效利用底层的基板网络资源需要有效的虚拟网络嵌入(VNE)算法,该算法将每个虚拟网络(VN)映射到基板网络中的特定节点和链接。在本文中,我们将VNE问题公式化为混合整数线性程序(MILP),然后提出了一种渐进贪婪的VNE算法(PG-VNE),它比以前的方法有三个主要改进。 1)在放松MILP以获得STRICT LP模型后添加约束,这将导致节点和链接映射阶段之间的更好协调; 2)使用贪婪的想法来映射虚拟节点; 3)逐步映射虚拟节点,即映射虚拟节点逐一。仿真结果表明,与众所周知的D-ViNE和R-ViNE算法相比,PG-VNE算法实现了节点和链路映射阶段之间的紧密协调,在收益,成本和VN请求接受率方面表现良好。

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