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基于网络的产品检测系统:拥塞控制和自诊断
引用本文:易乔木,程金树,方宏超,陈幼平. 基于网络的产品检测系统:拥塞控制和自诊断[J]. 东南大学学报, 2007, 23(2): 244-249
作者姓名:易乔木  程金树  方宏超  陈幼平
作者单位:武汉理工大学材料科学与工程学院 武汉430070(易乔木,程金树),华中科技大学机械科学与工程学院 武汉430074(方宏超,陈幼平)
摘    要:研究了一种实时分布式信息处理系统软件开发中的关键技术问题.基于TCP/IP协议及Socket技术,利用C/S模型的网络编程技术,设计实现了用于在线产品自动检测系统的服务器与客服机之间的数据传输原型系统.对网络拥塞进行了可能性分析,提出了一种基于ARCC算法的有效控制机制,并应用于基于网络的实时检测系统中,以解决在特定工况下出现拥塞时实现拥塞避免,达到了预期的效果.而且,还提出了一种自动诊断客户机状态的方法,以方便地检测服务器与客户机的连接状态,当连接中断时可以自动再连接.

关 键 词:分布式系统  网络通讯  网络拥塞  自诊断
修稿时间:2006-11-01

Network-based products detection system: congestion control and self diagnosis
Yi Qiaomu,Cheng Jinshu,Fang Hongchao,Chen Youping. Network-based products detection system: congestion control and self diagnosis[J]. Journal of Southeast University(English Edition), 2007, 23(2): 244-249
Authors:Yi Qiaomu  Cheng Jinshu  Fang Hongchao  Chen Youping
Affiliation:1 School of Materials Science and Engineering, Wuhan University of Technology, Wuhan 430070, China;2 School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Abstract:The problems that arise while developing a real-time distributed information-processing software system are studied.And based on the TCP/IP protocols and socket,for its facility in client/server (C/S) model networking programming,a prototype is designed for data transmission between the server and clients and it is applied on an on-line products automatic detection system. The probability analysis on network congestion was also made. A proper mechanism based on the ARCC (adapted RTT congestion control) algorithm is employed for detecting and resolving congestion, the purpose of which is mainly to achieve congestion avoidance under the particular conditions in this network-based system and reach the desired performance.Furthermore,a method is proposed for a client to diagnose automatically the connection status between the server and the client and to re-connect to the server when the disconnection is detected.
Keywords:distributed system  network communication  network congestion  self-diagnosis
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