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Jiahua Gu

at Southeast Univ.

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Proceedings Article | 12 March 2020 Paper

When virtual network functions are deployed in network resource virtualized elastic optical networks

Tianyu Shen, Min Zhu, Jiahua Gu, Xueqi Ren, Bin Chen, Chenglin Shi

Proceedings Volume 11435, 114350J (2020) https://doi.org/10.1117/12.2550156

KEYWORDS: Information technology, Optical networks, Transponders, Modulation, Computer programming, Computer simulations

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Network function virtualization (NFV) is a promising technology that has attracted much attention in both academia and industry. With IT resource virtualization, NFV paradigm could decouple network functions (NFs) from special-purpose hardware equipment, providing more flexibility to network service providers and facilitating a better sharing of physical infrastructure when implementing NFs. Meanwhile, with the introduction of flexible-grid elastic optical networks (EONs) and virtualized transponders (vTPs), a new concept of resource virtualized elastic optical networks (RvEON) is emerged in this context, which has not only realized link-tier spectrum virtualization in each fiber link, but also realized node-tier TP virtualization within each substrate node. In this paper, we for the first time study how to implement efficient virtual network function service chaining (VNF-SC) in inter-DC RvEONs, taking into account subcarrier and modulation resources of the vTPs equipped in network nodes, in addition to fiber-link spectrum and IT resources. First, an integer linear programming (ILP) model for the VNF-SC deployment problem is formulated for jointly allocating these multi-dimensional resources. Then, for scalability, we also propose a heuristic based on Maximum Reuse with Decentralization Principle (MR-DP). The main idea behind the heuristic is that deploying the VNFs in a much more load-balanced manner can facilitate to maximize reuse the most existing VNFs to save the IT resources. The simulation results indicate that the proposed MR-DP heuristic can allow the minimum number of the deployed VNFs, while consuming the similar amount of other resources, compared with other two benchmark schemes.

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