VNF Placement for Service Chaining in IP over WDM Networks

Yang, Zijian; Chen, Bin; Dai, Mingjun; Su, Gongchao; Lin, Rongping

doi:10.1109/acp.2018.8595730

Cited by 7 publications

(1 citation statement)

References 4 publications

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“…Authors in [10] propose an algorithm that performs dynamic service-chaining in a metro-area network jointly minimizing the average number of nodes required to host VNF instances as well as the blocking probability, although their impact is not deeply analyzed in the joint NFV placing and IP over WDM resource allocation. Relevantly, Zijian et al [11] proposed an Integer Linear Program (ILP) to optimize the VNF deployment in IP over WDM networks taking into account the energy consumption. The main contribution of this paper is the NFV over IP over WDM (NIW) library that contains in a single opensource framework all necessary tools to model SDN/NFV metropolitan networks.…”

Section: Introductionmentioning

confidence: 99%

NIW: A Net2Plan-Based Library for NFV over IP over WDM Networks

Romero-Gázquez

Garrich

Moreno-Muro

et al. 2019

2019 21st International Conference on Transparent Optical Networks (ICTON)

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Software-Defined Networking (SDN) and Network Function Virtualization (NFV) technologies enable a major technological breakthrough for telecom operators' networks. In this paper, we present the NFV over IP over WDM (NIW) library, an open-source framework for SDN/NFV metropolitan networks, created in the context of the Metro-Haul project. NIW is a library added to the Net2Plan open-source network planning software, specifically to model, provision, design and evaluate SDN/NFV networks. We introduce the major components and functionalities of NIW in a tutorial manner, including an Excel file loader meant to ease data loading for its manipulation through NIW data structure and its available methods. Finally, an illustrative example shows the basic library usage taking into account NFV over IP over WDM network resources in a reference topology.

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Section: Introductionmentioning

confidence: 99%