A comparative analysis of two-stage approaches for embedding network function virtualization enabled multicast services

IF 1.5 4区 计算机科学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC
Mina Asgarian, Ghasem Mirjalily
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引用次数: 0

Abstract

The Network Function Virtualization (NFV) technology has emerged to turn hardware-based network functions into software-based virtual entities. In NFV-enabled multicast services, the data flow should be passed through a series of Virtual Network Functions (VNFs) before reaching destinations. In the problem of NFV-enabled multicast service embedding, not only the VNFs must be deployed, but also the traffic forwarding topology must be constructed. As the exact solution of this problem suffers from high computational complexity, the heuristic or approximation approaches are used in practice. However, as a way to control the trade off between complexity and efficiency, using multistage solutions is offered in literature. In this article, some two-stage approaches for embedding NFV-enabled multicast services are introduced, and they are compared through analysis and simulation. Specifically, a new low-complexity approach based on the Auxiliary VNF Graph (AVG) is proposed to determine the sub-optimal locations for VNF placement and to construct the NFV-based multicast routing tree. The comparative analysis shows that the proposal has acceptable performance while reducing the computational complexity significantly.

Abstract Image

嵌入网络功能虚拟化组播服务的两阶段方法比较分析
网络功能虚拟化(NFV)技术的出现,将基于硬件的网络功能转化为基于软件的虚拟实体。在 NFV 支持的组播服务中,数据流需要经过一系列虚拟网络功能(VNF)才能到达目的地。在 NFV 支持的组播服务嵌入问题中,不仅必须部署 VNF,还必须构建流量转发拓扑。由于该问题的精确解具有很高的计算复杂性,因此在实践中使用了启发式或近似方法。不过,为了控制复杂性和效率之间的权衡,文献中提出了使用多阶段解决方案的方法。本文介绍了一些嵌入 NFV 多播服务的两阶段方法,并通过分析和仿真对这些方法进行了比较。具体而言,本文提出了一种基于辅助 VNF 图(AVG)的低复杂度新方法,用于确定 VNF 放置的次优位置,并构建基于 NFV 的组播路由树。对比分析表明,该建议具有可接受的性能,同时大大降低了计算复杂度。
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来源期刊
IET Communications
IET Communications 工程技术-工程:电子与电气
CiteScore
4.30
自引率
6.20%
发文量
220
审稿时长
5.9 months
期刊介绍: IET Communications covers the fundamental and generic research for a better understanding of communication technologies to harness the signals for better performing communication systems using various wired and/or wireless media. This Journal is particularly interested in research papers reporting novel solutions to the dominating problems of noise, interference, timing and errors for reduction systems deficiencies such as wasting scarce resources such as spectra, energy and bandwidth. Topics include, but are not limited to: Coding and Communication Theory; Modulation and Signal Design; Wired, Wireless and Optical Communication; Communication System Special Issues. Current Call for Papers: Cognitive and AI-enabled Wireless and Mobile - https://digital-library.theiet.org/files/IET_COM_CFP_CAWM.pdf UAV-Enabled Mobile Edge Computing - https://digital-library.theiet.org/files/IET_COM_CFP_UAV.pdf
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