The architecture of network virtual experiment environment based on cloud computing

Author:

Liu Zhijie

Abstract

In order to improve the user access success rate, cloud service success rate and experiment resource sharing and retrieval efficiency of network virtual experiment environment, a network virtual experiment environment architecture based on cloud computing was proposed. Through the CVM cloud virtual experiment platform and LIMP Laboratory integrated management platform, the system architecture of network virtual experiment environment is designed. Based on cloud computing, the access control algorithm of network virtual experiment environment is designed, and the resource sharing of network virtual experiment environment is realized by data mining technology. The experimental results show that the architecture proposed in this paper has a high success rate of user access and cloud service, and a good efficiency of experimental resource sharing and retrieval, indicating that the architecture proposed in this paper has a good application effect.

Publisher

IOS Press

Subject

Computational Mathematics,Computer Science Applications,General Engineering

Reference15 articles.

1. A virtual network customization framework for multicast services in NFV-enabled core networks;Alhussein;IEEE J Sel Area Commun.,2020

2. Probe delay based adaptive port scanning for IoT devices with private IP address behind nat;Tang;IEEE Netw.,2020

3. Fid-net: A versatile deep neural network architecture for NMR spectral reconstruction and virtual decoupling;Karunanithy;J Biomol NMR.,2021

4. Construction of remote controllable virtual electronic experimental platform;Li;Exp Technol Manag.,2016

5. IoT virtual simulation technology and experiment teaching platform;Chen;Microcontrollers Embed Syst.,2019

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