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数据中心间弹性光网络中用于选择虚拟化网络功能的IT与频谱资源联合平衡

Joint balancing of IT and spectrum resources for selecting virtualized network function in inter-datacenter elastic optical networks.

作者信息

Li Yajie, Zhao Yongli, Li Bo, Yu Xiaosong, Yang Hui, Wang Xinbo, Zhang Jie

出版信息

Opt Express. 2019 May 27;27(11):15116-15128. doi: 10.1364/OE.27.015116.

Abstract

With network functions decoupled from specific hardware, network function virtualization (NFV) is a promising technology to accelerate service provisioning in datacenter (DC) networks. In inter-datacenter elastic optical networks, each virtualized network function (VNF) is usually deployed in multiple DCs for the sake of survivability. In service provisioning, different VNF selections greatly affect IT resources in DCs as well as spectrum resources in optical networks. This paper investigates how to select appropriate VNFs for service requests to achieve joint load balancing of IT and spectrum resources. Two joint balancing factors are proposed to quantify the impact of different VNF selections on network load. Furthermore, a Joint-Optimization Selection (JOS) algorithm is designed to select VNFs in a joint load balancing manner. The performance of the proposed algorithm is evaluated in terms of resource utilization, blocking probability and average path length. Simulation results indicate that the proposed algorithm outperforms the benchmark algorithm.

摘要

随着网络功能与特定硬件解耦,网络功能虚拟化(NFV)是一种有望加速数据中心(DC)网络中服务供应的技术。在数据中心间弹性光网络中,为了实现可生存性,每个虚拟网络功能(VNF)通常部署在多个数据中心。在服务供应中,不同的VNF选择会极大地影响数据中心的IT资源以及光网络中的频谱资源。本文研究如何为服务请求选择合适的VNF,以实现IT和频谱资源的联合负载均衡。提出了两个联合平衡因子来量化不同VNF选择对网络负载的影响。此外,设计了一种联合优化选择(JOS)算法,以联合负载均衡的方式选择VNF。从资源利用率、阻塞概率和平均路径长度等方面评估了所提算法的性能。仿真结果表明,所提算法优于基准算法。

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