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SDNMS: A Software Defined Network Measurement System for NFV Networks

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As a promising technology to com-pletely transform how we architect, deploy, operate and manage various networks, soft-ware-based Network Function Virtualization (NFV) enables hardware-independent, flexi-ble, fast and efficient network service provi-sion. With the increasing popularity of NFV paradigm, the Internet has also transformed to be a hybrid environment where NFV-based network entities coexist with traditional net-work devices. To facilitate our understanding, design, evaluate and manage of such novel network environment, there is a great need for a new NFV-compatible network measurement system which is still in absent so far. To bridge this gap, a system, named Software Defined Network Measurement System (SDNMS), is presented in this paper. Firstly, the architecture of SDNMS is proposed. In this architecture, a formal method to describe the working mode of the network measurement is defined. This method can also be utilized to generate a network measurement middle box (NMMB) in a specific location of the NFV network ac-cording to the customized description file, and to flexibly deploy the network measurement function. Secondly, the technology of virtual network measurement function (VNMF) com-bined with LXC is studied to form NMMB function. Thirdly, a control method is pre-sented to control the start, stop, and update NMMB to form a specific network measure-ment system function. Finally, a prototype of SDNMS with network monitoring function to monitor network performance anomalies and locate faults is introduced. Experimental results have shown that SDNMS architec-ture and related technologies are feasible and effective to deploy and control network measurement functions in NFV networks. We hope SDNMS could provide a new method for practitioners to conduct network management and research at the age of NFV.

network function virtualizationnetwork measurement system architecturenetwork measurement functionservice chain

Tianqi Zhang、Ming Chen、Xianglin Wei、Bing Chen、Chao Hu

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School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China

PLA University of Science and Technology, Nanjing 210007, China

Nanjing Telecommunication Technology Research Institute, Nanjing 210036, China

This work has been supported by National Natural Science Foundation of ChinaThis work has been supported by National Natural Science Foundation of China

6177227161379149

2019

中国通信(英文版)

中国通信(英文版)

CSTPCDCSCDSCI
影响因子：0.463
ISSN：1673-5447
年,卷(期)：2019.16(4)
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