scholarly journals VIRTUAL WLAN: EXTENSION OF WIRELESS NETWORKING INTO VIRTUALIZED ENVIRONMENTS

2011 ◽  
pp. 322-329
Author(s):  
Ghannam Aljabari ◽  
Evren Eren

In wired Ethernet networks (IEEE 802.3), a physical network interface can be connected to different network segments or shared among multiple virtual machines. In wireless LAN (IEEE 802.11) sharing a wireless network interface is recognized to be a difficult task. However, virtualization can solve this problem. In this paper we will introduce a software platform for hosting multiple virtual wireless networks over a shared physical infrastructure by means of open source virtualization techniques. We present the design, implementation, and performance testing of this platform. Results have shown that the hosting platform can extend wireless networking into virtualized environments without compromising the performance, isolation, or wireless LAN security mechanisms.

2014 ◽  
Vol 631-632 ◽  
pp. 1023-1026
Author(s):  
Qiang Yu ◽  
Gang Zhang ◽  
Peng Fei Yu ◽  
Hui Huang ◽  
Wei Chen

For software function verification and performance testing, a test platform was built during the development of large-capacity EPON OLT equipment. The platform was based on distributed system,which using modified TCP/UDP to establish RPC data exchange path between nodes. With Linux as unified operating system, software work in both embedded PowerPC and x86-based PC virtual machines without modification. At last, a group of stress test was executed on the platform and the result was discussed.


2020 ◽  
pp. 1-12
Author(s):  
Wu Xin ◽  
Qiu Daping

The inheritance and innovation of ancient architecture decoration art is an important way for the development of the construction industry. The data process of traditional ancient architecture decoration art is relatively backward, which leads to the obvious distortion of the digitalization of ancient architecture decoration art. In order to improve the digital effect of ancient architecture decoration art, based on neural network, this paper combines the image features to construct a neural network-based ancient architecture decoration art data system model, and graphically expresses the static construction mode and dynamic construction process of the architecture group. Based on this, three-dimensional model reconstruction and scene simulation experiments of architecture groups are realized. In order to verify the performance effect of the system proposed in this paper, it is verified through simulation and performance testing, and data visualization is performed through statistical methods. The result of the study shows that the digitalization effect of the ancient architecture decoration art proposed in this paper is good.


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