Congestion control for virtual-connection using a Smith predictor in high-speed Gigabit Ethernet networks

Author(s):  
Seung-Hyub Lee ◽  
Kwang-Hyun Cho
2008 ◽  
pp. 2308-2324
Author(s):  
Nurul I. Sarkar ◽  
Catherine Byrne ◽  
Nabeel A.Y. Al-Qirim

Although Ethernet technology is still the most popular LAN technology in use today at the desktop, the throughput offered by the 10 and 100 Mbps Ethernet is inadequate for high bandwidth networking applications such as real-time visualisation, high-resolution graphics, multimedia and Web applications. Gigabit Ethernet (GigE) technology provides 1,000 megabits per second (i.e., one gigabit per second) at more reasonable cost than the other technologies of comparable speed and therefore it is a natural upgrade strategy for many legacy Ethernet networks. This paper reports on a case study of a large New Zealand organization focusing on the level of GigE deployment, design, planning and implementation, network performance testing, problems encountered and future plans. Our findings show the feasibility and practicability of deploying GigE technology in high-speed networking applications such as campus- and corporate-wide local area networks.


1999 ◽  
Vol 31 (21) ◽  
pp. 2193-2204 ◽  
Author(s):  
Andris Sidorovs ◽  
Guntis Barzdins ◽  
Janis Lacis ◽  
Karlis Ogsts

2013 ◽  
Vol 712-715 ◽  
pp. 2323-2326
Author(s):  
Xing Guang Qi ◽  
Hai Lun Zhang ◽  
Xiao Ting Li

This paper presents an on-line surface defects detection system based on machine vision, which has high speed architecture and can perform high accurate detection for cold-rolled aluminum plate. The system consists of high speed camera and industrial personal computer (IPC) array which connected through Gigabit Ethernet, achieved seamless detection by redundant control. In order to acquire high processing speed, single IPC as processor receives from and deals with only one or two cameras' image. Experimental results show that the system with high accurate detection capability can satisfy the requirement of real time detection and find out the defects on the production line effectively.


2003 ◽  
Vol 43 (6) ◽  
pp. 761-775
Author(s):  
Tamer Dağ ◽  
Ioannis Stavrakakis

Sign in / Sign up

Export Citation Format

Share Document